S. Bandyopadhyay and S. Saha, "Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications", 2012.
Publications
Publications, Books and Journals
A searchable publication library covering the book entry, journal articles, and conference publications listed on Dr. Sriparna Saha's publication pages.
283Conference Papers
227Journal Articles
1Book
511 entries
228. R. Kumar, T. Gupta, K. Kalra, and S. Saha (2025), “Acknowledging Valued Perspectives! User-Assisted Summarization by Leveraging Opinions and LLMs”, IEEE Transactions on Artificial Intelligence (IEEE TAI) .
227. R. Kumar, P. Bansal, S. Singh, S. Saha , and A. Jatowt (2025), “From Generation to Detection: Multimodal Generative AI and the Threat of Automated Misinformation”, IEEE Transactions on Artificial Intelligence (IEEE TAI) .
226. R. Kumar, P. Bansal, R. K. Singh, and S. Saha (2025), "Sifting Truth from Spectacle! A Multimodal Hindi Dataset for Misinformation Detection with Emotional Cues and Sentiments", IEEE Transactions on Affective Computing (Accepted for publication, Impact Factor: 9.8).
225. P. Sahoo, A. Tripathi, S. Saha , and S. Mondal (2025), "FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning", Transactions on Machine Learning Research (TMLR) .
224. P. Sahoo, J. Galab, S. Saha , S. Chowdhury, and S. Mondal (2025), "PFSNet: A Prototypical Federated Siamese Network for Few-Shot Cervical Cancer Detection", Biomedical Signal Processing and Control (Impact factor: 4.9).
223. P. Sahoo, A. Tripathi, S. Saha , and S. Mondal (2025), "Heterogeneity-Aware Federated Learning for Medical Image Classification with Dynamic Parameter Optimization", IEEE Transactions on Artificial Intelligence .
222. S. Das, A. Deo, H. Vardhan Dasari, S. Saha , and A. Maurya (2025), "Let’s Decipher the Origin: Towards Multimodal Aspect-based Explainable Complaints in Finance", IEEE Transactions on Computational Social Systems (impact factor: 4.5) .
221. A. Ghosh, R. Jain, A. Jangra, S. Saha , and A. Jatowt (2025), "A Survey on Medical Document Summarization: From Machine Learning Techniques to Large Language Models", Wiley Interdisciplinary Reviews: Data Mining And Knowledge Discovery (impact factor: 11.7) .
220. P. Mondal, Kushum, T. Kumari, S. Saha , J. P. Singh, P. Biswas, B. Singh, N. Pedanekar (2025), "Fine-grained visual aspects in Genre prediction", IEEE Transactions on Computational Social Systems (impact factor: 4.5) .
219. S. Raj, S. Saha (2025), "Unlocking Latent Features of Users and Items: Empowering Multi-Modal Recommendation Systems", Scientific Reports (impact factor: 3.8) .
218. S. Raj, S. Saha , B. Singh, PhD, N. Pedanekar (2025), "Multimodal Movie Recommendation with Multitasking Architecture and Learning User-Movie Representation: An Empirical Study", IEEE Transactions on Computational Social Systems (impact factor: 4.5) .
217. S. Das, S. Ghosh, A. Tiwari, R. E. Z. M. Lyngkhoi, S. Saha , Z. Murad and A. Maurya(2025), "Presenting an Order-Aware Multimodal Fusion Framework for Financial Advisory Summarization with an Exclusive Video Dataset", IEEE Access (Impact factor: 3.4) .
216. S. K. Mishra, S. Saha , P. Bhattacharyya (2025), "Continual Learning for Image Captioning in Hindi", ACM Trans. Asian Low-Resour. Lang. Inf. Process. (2025) (Impact factor: 1.8) .
215. S. K. Mishra, S. Sinha, S. Saha , and P. Bhattacharyya (2023), “Dynamic Convolution-based Encoder-Decoder Framework for Image Captioning in Hindi”. ACM Trans. Asian Low- Resour. Lang. Inf. Process . 22, 4, Article 112 (April 2023), 18 pages. https://doi.org/10.1145/3573891 (Impact factor: 1.8) .
214. S. K. Mishra, S. Chakraborty, S. Saha , P. Bhattacharyya (2024), “Hi-MetaCap: Configur- ing Object Relational Transformer in Meta-Learning Environment for Image Captioning in Hindi”, ACM Trans. Asian Low-Resour. Lang. Inf. Process. (2024) (Impact factor: 1.8) .
213. A. Pathak, S. Bhattacharjee, T. Saha, S. Saha (2024), "Does Sentiment and Emotion affect Mental Health? A Multi-task Classification Framework for Comprehensive Understanding of Mental Health, Emotion, and Sentiment from Motivational Conversations", ACM Transactions on Computing for Healthcare (impact factor: 3.4).
212. P. Sahoo, A. Tripathi, S. Saha , S. Mondal, J. P. Singh, B. Sharma (2024), "AdaFedProx: A Heterogeneity-aware Federated Deep Reinforcement Learning for Medical Image Classification", IEEE Transactions on Consumer Electronics (impact factor: 4.3) .
211. A. Mathur, N Arya, K. Pasupa, S. Saha , S.R. Dey, and S. Saha (2024), "Breast Cancer Prognosis through the Use of Multi-Modal Classifiers: Current State of the Art and the Way Forward", Briefings in Functional Genomics (impact factor: 4.3) .
210. S. Palmal, S. Saha , N. Arya, S. Tripathy (2024), CAGCL: Predicting Short- and Long-Term Breast Cancer Survival with Cross-Modal Attention and Graph Contrastive Learning, IEEE Journal of Biomedical and Health Informatics (impact factor: 6.7) .
209. R. Kumar, B. Goddu, S. Saha , A. Jatowt (2024) "Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?", IEEE Transactions on Artificial Intelligence (IEEE TAI) (accepted) .
208. A. Singh, P. Jha, S. Das, R. Jain, and S. Saha (2024), “Please see the picture attached: Towards Multimodal Complaint Severity Detection from Social Media”, IEEE Transactions on Computational Social Systems (Impact factor: 5) .
207. R. Kumar, R. Sinha, S. Saha , A. Jatowt (2024), “Extracting the Full Story: A Multimodal Approach and Dataset to Crisis Summarization in Tweets”, IEEE Transactions on Computa-tional Social Systems (Impact factor: 5) .
206. P. Sahoo, S. K. Sharma, S. Saha , D. Jain, S. Mondal (2024) "A multistage framework for respiratory disease detection and assessing severity in chest X-ray images". Scientific Reports , Volume 14, Number 12380 (2024). DOI: https://doi.org/10.1038/s41598-024-60861-6 (impact factor: 4.6) .
205. A. Tiwari , Swarna S, S. Saha , P. Bhattacharyya, M. Dhar, S. Tiwari (2024), "Learning from Failure : Towards Developing A Disease Diagnosis Assistant that also learns from Unsuccessful Diagnosis", Cognitive Computation Journal (impact factor: 5.4 (2022)) .
204. K. Maity, A.S. Poornash, S. Bhattacharya, S. Phosit, S. Kongsamlit, S. Saha , and K. Pasupa (2024), "ThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language", IEEE Transactions on Computational Social Systems (Impact factor: 5) .
203. S. Palmal, N. Arya, S. Saha , S. Tripathy (2024), "Integrative Prognostic Modeling for Breast Cancer: Unveiling Optimal Multimodal Combinations using Graph Convolutional Networks and Calibrated Random Forest", Applied Soft Computing (Impact factor: 8.7) .
202. S. Das, U. Chowdhury, Lijin NS, A. Deep, S. Saha and Alka Maurya (2024), "Investigate How Market Behaves: Towards an explanatory multitasking based analytical model for financial investments", IEEE Access ( Impact factor: 3.9) .
201. M. Tomar, A. Tiwari, S. Saha , (2024),"Towards Knowledge-Infused Automated Disease Diagnosis Assistant", Nature Scientific Report (Impact factor: 4.6) .
200. P. Sahoo, S. Saha , S. Mondal, M. Seera, S. Kumar Sharma, M. Kumar, "Enhancing Computer-Aided Cervical Cancer Detection using a Novel Fuzzy Rank-based Fusion", IEEE Access (Impact factor: 3.9) .
199. N. Arya and S. Saha (2023), "Deviation-Support based Fuzzy Ensemble of Multi-modal Deep Learning Classifiers for Breast Cancer Prognosis Prediction", Nature Scientific Report (Impact factor: 4.6) .
198. S. Das, A. Singh, S. Saha , A. Maurya (2023), "Negative Review or Complaint? Exploring Interpretability in Financial Complaints", IEEE Transactions on Computational Social Systems (Impact factor: 5) .
197. K. Maity, R. Jain, P. Kumar, S. Saha (2023), "Explainable Cyberbullying Detection in Hinglish: A Generative Approach", IEEE Transactions on Computational Social Systems (Impact factor: 5) .
196. Mondal, P. Kapoor, S. Singh, S. Saha , J. Prakash Singh, and A. K. Singh (2023), “Genre Effect Towards Developing a Multi-modal Movie Recommendation System in Indian Setting”, IEEE Transactions on Transactions on Consumer Electronics (Impact factor: 4.3) .
195. P. sahoo, S. Saha , S. K. Sharma, S. Mondal, S. Gowda (2023), “A Multi-stage Framework for COVID-19 Detection and Severity Assessment from Chest Radiography Images using Advanced Fuzzy Ensemble Technique”, Expert Systems with Applications (Impact factor: 8.5)
194. S. Mishra, S. Chakraborty, S. Saha , P. Bhattacharyya (2023), ``GAGPT-2: A Geometric Attention-based GPT-2 Framework for Image Captioning in Hindi”, ACM Transactions on Asian and Low-Resource Language Information Processing (Impact factor: 1.471) .
193. S. Palmal, N. Arya, S. Saha , S. Tripathy (2023), ``Breast Cancer Survival Prognosis Using the Graph Convolutional Network with Choquet Fuzzy Integral”, Nature Scientific Report (Impact factor: 4.6) .
192. K. Maity, S. Bhattacharya, S. Saha , M. Seera (2023), "A deep learning framework for the detection of Malay hate speech", IEEE Access (Impact factor: 3.476) .
191. K. Maity, N. Ghosh, R. Jain, S. Saha , P. Bhattacharyya (2023), "StereoHate: Towards identifying Stereotypical Bias and Target group in Hate Speech Detection", Natural Language Engineering (Impact factor: 1.841)
190. D. Paul, S. Rana, S. Saha , J. Mathew (2023) "Online Summarization of Micro-blog Data: An Aid in Handling Disaster Situations", IEEE Transactions on Computational Social Systems (Impact factor: 5.0) .
189. A. Singh, S. Chandrasekhar, T. Sen, S. Saha (2023), "Federated Multi-task Learning for Complaint Identification using Graph Attention Network", IEEE Transactions on Artificial Intelligence .
188. S. Palmal, S. Saha , S. Tripathy (2023), "Multi-objective Optimization with Majority Voting Ensemble of Classifiers for Prediction of HIV-1 Protease Cleavage Site", Soft Computing , Springer (Impact factor: 3.732) .
187. D. Paul, S. Bardhan, S. Saha , J. Mathew (2023), "ML-KnockoffGAN: Deep Online Feature Selection for Multi-label Learning", Knowledge-Based Systems , Elsevier (Impact factor: 8.139) .
186. K. Jha, S. Saha , S. Karmakar (2023) "Graph-BERT and Language Model-based Framework for Protein-Protein Interaction Identification", Scientific Reports (Impact factor: 4.996) .
185. K. Jha, S. Saha , S. Karmakar (2023), "Prediction of Protein-Protein Interactions using Vision Transformer and Language Model", IEEE/ACM Transactions on Computational Biology and Bioinformatics (Impact factor: 3.71) .
184. N. Arya, S. Saha , A. Mathur, S. Saha (2023), "Improving the Robustness and Stability of a Machine Learning Model for Breast Cancer Prognosis through the use of Multi-Modal Classifiers", Scientific Reports (Impact factor: 4.996) .
183. D. Paul, D. Chakdar, S. Saha , J. Mathew (2023), "Online Research Topic Modelling and Recommendation utilizing Multi-view Autoencoder Based Approach", IEEE Transactions on Computational Social Systems (Impact factor: 4.747) .
182. A.Jangra, S. Mukherjee, A. Jatowt, S. Saha , M. Hasanuzzaman (2022), "A Survey on Multi-modal Summarization", ACM Computing Survey (Impact factor: 14.324) .
181. A. Singh and S. Saha (2022), "GraphIC: A Graph-based Approach for Identifying Complaints from code-mixed product reviews", Expert Systems with Applications (Impact factor:8.665) .
180. K. Maity, T. Sen, S. Saha , P. Bhattacharyya (2022), "MTBullyGNN: A Graph Neural Network based Multi-task Framework for Cyberbullying Detection", IEEE TRansactions on Computational Social Systems (Impact factor: 4.747)
179. A. Tiwari, R. Raj, S. Saha , P. Bhattacharyya, S. Tiwari, M. Dhar (2022) "Towards Symptom Assessment guided Symptom Investigation and Disease Diagnosis", IEEE TRansactions on Artificial Intelligence .
178. S. K. Mishra, S. Sinha, S. Saha , P. Bhattacharyya (2022), "Dynamic Convolution Based Encoder-Decoder Framework for Image Captioning in Hindi", ACM Transactions on Asian and Low-Resource Language Information Processing (Impact factor: 1.92) .
177. A. Tiwari, T. Saha, S. Saha , P. Bhattacharyya, S. Begum, M. Dhar and S. Tiwari (2022), "Symptoms are known by their companies: Towards Association Guided Disease Diagnosis Assistant", BMC Bioinformatics (Impact factor: 4.347) .
176. A. Singh, R. Bhatia, and S. Saha (2022), "Complaint and Severity Identification from Online Financial Content", IEEE Transactions on Computational Social Systems (Impact factor:4.747) .
175. A. Raut, A. Tiwari, S. Das, S. Saha , A. Maitra, R. Ramnani, S. Sengupta (2022), "Reinforcing Personalized Persuasion in Task-Oriented Virtual Sales Assistant", Plos One (Impact factor: 3.752) .
174. A. Tiwari, A. Khandwe, S. Saha , R. Ramnani, A. Maitra, S. Sengupta (2022), "Towards Personalized Persuasive Dialogue Generation for Adversarial Task Oriented Dialogue Setting", Expert Systems with Applications (Impact factor: 8.665) .
173. N. Saini, S. M. Reddy, S. Saha , J. Moreno, A. Doucet (2022), "Multi-view Multi-objective Clustering-based Framework for Scientific Document Summarization using Citation Context", Applied Intelligence (Impact factor: 5.01) .
172. N. Arya, A. Mathur, S. Saha, S. Saha (2022), "Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation", in IEEE/ACM Transactions on Computational Biology and Bioinformatics (Impact factor: 3.702) .
171. P. Biswas, Md Shahbaz Akhtar, A. Adhya, S. Saha , S. Majhi (2022), "Q-Learning Based Energy-Efficient Network Planning in IP-over-EON", IEEE Transactions on Network and Service Management (Impact factor: 4.758) .
170. C. Suman, S. Saha , P. Bhattacharyya (2022), "An Attention Based Multi-modal Siamese Architecture for Tweet-user Verification", IEEE Transactions on Computational Social Systems (impact factor: 4.747).
169. D. Paul, D. Chakdar, S. Saha , J. Mathew (2022), "Multi-view Deep Online Clustering: An Application to Online Research Topic Modeling and Recommendations", IEEE Transactions on Computational Social Systems. (impact factor: 4.747).
168. K. Maity, S. Saha , P. Bhattacharyya (2022), "Emoji, Sentiment and Emotion aided Cyber-bullying Detection in Hinglish", IEEE Transactions on Computational Social Systems. (impact factor: 4.747).
167. S. K. Mishra, Harshit, S. Saha , P. Bhattacharyya (2022), "An Object Localization based Dense Image Captioning Framework in Hindi", ACM Transactions on Asian and Low-Resource Language Information Processing (impact factor: 1.471).
166. A. Kumar, A. Pratap, A. K. Singh, S. Saha (2022), "Addressing Domain Shift in Neural Machine Translation via Reinforcement Learning", Expert System with Applications (impact factor: 6.954) .
165. K. Jha and S. Saha (2022), "Analyzing Effect of Multi-modality in Predicting Protein-Protein Interactions", IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 3.71) .
164. K. Maity, A. Kumar, S. Saha (2022), "A Multi-task Multi-modal Framework for Sentiment and Emotion aided Cyberbully Detection", IEEE Internet Computing (impact factor: 2.341) .
163. C. Suman, R. Chaudhari, S. Saha , S. Kumar, P. Bhattacharyya (2022),"Investigations in Emotion Aware Multi-modal Gender Prediction Systems from Social Media Data", IEEE Transactions on Computational Social Systems .
162. A. Tiwari, S. Saha , P. Bhattacharyya (2022), "A Knowledge Infused Context Driven Dialogue Agent for Disease Diagnosis using Hierarchical Reinforcement Learning", Knowledge Based Systems (impact factor:8.038) .
161. T. Saha, S. M. Reddy, S. Saha , P. Bhattacharyya (2022), "Mental Health Disorder Identification from Motivational Conversations", IEEE Transactions on Computational Social Systems .
160. K. Jha, S. Saha , P. Dutta (2022), " Incorporation of Gene Ontology in Identification of Protein Interactions from Biomedical Corpus: A Multi-modal Approach", Annals of Operations Research journal (impact factor: 4.854) .
159. A. Tiwari, T. Saha, S. Saha , S. Sengupta, A. Maitra, R. Ramnani, P. Bhattacharyya (2021), "A Persona Aware Persuasive Dialogue Policy for Dynamic and Co-operative Goal Setting", Expert Systems with Applications (impact factor: 6.954, h5-index: 118) .
158. D. Bansal, R. Grover, N. Saini, S. Saha (2021), "GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling", IEEE Transactions on Affective Computing (impact factor 10.506).
157. C. Suman, S. Saha , A. Gupta, S. K. Pandey, P. Bhattacharyya (2021), "A Multi-modal Personality Prediction System", Knowledge based Systems (impact factor: 8.038) .
156. D. Bansal, N. Saini, S. Saha (2021),"DCBRTS: A Classification-Summarization Approachfor Evolving Tweet Streams in Multiobjective Optimization Framework", IEEE Access(h5-index: 164) .
155. S. Paul, S. Saha , and J. P. Singh (2021),"COVID-19 and Cyberbullying: Deep EnsembleModels for Code-switched Languages to Identify Cyberbullying during the Pandemic", Multimedia Tools and Applications(impact factor: 2.757).
154. T. Prashanth, S. Saha, S. Basarkod, S. Aralihalli, S. S. Dhavala, S. Saha , R. Aduri (2021), "LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on Microarray Expression Data Sets", IEEE/ACM Transactions on Computational Biology and Bioinformatics .
153. S. Mishra, G. Rai, S. Saha , P. Bhattacharyya (2021), "Efficient Channel Attention based Encoder-Decoder Approach for Image Captioning in Hindi", ACM Transactions on Asian and Low-Resource Language Information Processing .
152. N. Saini, S. Saha , P. Bhattacharyya, S. Mrinal, S. Mishra (2021), "On Multi-modal Microblog Summarization", IEEE Transactions on Computational Social Systems .
151. Srivatsa R J, G. Dias, J. J. Andrew, S. Saha , F. MAUREL, S. FERRARI (2021), "Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering", ACM Transactions on Information Systems (impact factor: 2.312) .
150. A. Singh, S. Saha , M. Hasanuzzaman (2021), "Identifying Complaints based on Semi-Supervised Mincuts", Expert Systems with Applications journal (impact factor: 6.954) (accepted).
149. C. Suman, R. Shyamkant Chaudhary, S. Saha , P. Bhattacharyya (2021), "An Attention based Multi-Modal Gender Identification System for Social Media Users", Multimedia Tools and Applications (impact factor: 2.313) (accepted).
148. P. Dutta, A. Prakash Patra, S. Saha (2021), "DeePROG: Deep Attention-based Model for Diseased Gene Prognosis by Fusing Multi-omics Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).
147. N. Arya, S. Saha (2021), "Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP", IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).
146. T. Saha, A. Upadhyaya, S. Saha , P. Bhattacharyya (2021), "A Multi-task Multi-modal Ensemble Model for Sentiment and Emotion aided Tweet Act Classification", IEEE Transactions on Computational Social Systems (accepted).
145. C. Suman, A. Naman, S. Saha , P. Bhattacharyya (2021), "A Multimodal Author Profiling System for Tweets", IEEE Transactions on Computational Social Systems (accepted).
144. N. Saini, S. Saha (2021), "Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications", European Physical Journal Special Topics (impact factor: 1.668) (accepted).
143. R. Mahapatra, S. Saha, Carlos A. Coello Coello, A. Bhattacharya, Soma S. Dhavala, S. Saha (2021), "AdaSwarm: Augmenting gradient-based optimizers in Deep Learning with Swarm Intelligence", IEEE Transactions on Emerging Topics in Computational Intelligence (impact factor: 4.62) (accepted).
142. L. Khaidem, S. Saha, S. Kar, A. Mathur, S. Saha (2021), "Expert Habitat: A Colonization Conjecture for Exoplanetary Habitability via penalized multi-objective optimization based candidate validation", European Physical Journal Special Topics (impact factor: 1.668) (accepted).
141. T. Saha, D. Gupta, S. Saha , P. Bhattacharyya (2021), "A Unified Dialogue Management Strategy for Multi-Intent Dialogue Conversations in Multiple Languages", ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).
140. S. Mishra, N. Saini, S. Saha , P. Bhattacharyya (2021), "Scientific Document Summarization in Multi-objective Clustering Framework", Applied Intelligence (impact factor: 3.325) (accepted).
139. A. Tiwari, T. Saha, S. Saha , S. Sengupta, A. Maitra, R. Ramnani, P. Bhattacharyya (2021), "A Dynamic Goal Adapted Task Oriented Dialogue Agent", Plos One (h5 index: 175, impact factor: 2.74) (accepted).
138. C. Suman, A. Raj, S. Saha , P. Bhattacharyya (2021), "Authorship Attribution of Micro-text using Capsule Networks", IEEE Transactions on Computational Social Systems (accepted).
137. N. Arya, S. Saha (2021), "Multi-Modal Advanced Deep Learning Architectures for Breast Cancer Survival Prediction ", Knowledge Based Systems (impact factor: 5.921) (accepted) .
136. D. Paul, A. Jain, S. Saha , J. Mathew (2021), "Multi-objective PSO based Online Feature Selection for Multi-label Classification", Knowledge Based Systems (impact factor: 5.921) (accepted) .
135. D. Paul, S. Saha , A. Kumar, J. Mathew (2021), "Evolutionary Multi-objective Optimization based Overlapping Subspace Clustering", Pattern Recognition Letters (impact factor: 3.255) (accepted) .
134. K. Jha, S. Saha , M. Tanveer (2021), "Prediction of Protein-Protein Interactions using Stacked Auto-encoder", Wiley Transactions on Emerging Telecommunications Technologies (impact factor: 1.594) (accepted)
133. A. Singh, S. Saha , M. Hasanuzzaman, K. Dey (2021), "Multitask Learning for Complaint Identification and Sentiment Analysis", Cognitive Computation (impact factor: 4.307) (accepted) .
132. D. Paul, R. Kumar, S. Saha , J Mathew (2021), "Multi-objective Cuckoo Search based Streaming Feature Selection for Multi-label Dataset", ACM Transactions on Knowledge Discovery from Data(TKDD) (impact factor: 3.290) (accepted) .
131. N. Saini, S. Saha , P. Bhattacharyya (2021), "Microblog Summarization using Self-adaptive Multi-objective Binary Differential Evolution", Applied Intelligence (impact factor: 3.325, h5-index: 42) (accepted) .
130. N Saini, D. Bansal, S. Saha , P. Bhattacharyya (2020), "Multi-Objective Multi-View based Search Result Clustering using Differential Evolution Framework", Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted) .
129. S. Mishra, R. Dhir, S. Saha , P. Bhattacharyya (2020), "A Hindi Image Caption Generation Framework using Deep Learning", ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).
128. K. Jha and S. Saha (2020), "Incorporation of Multimodal Multiobjective Optimization in Designing a Filter based Feature Selection Technique", Applied Soft Computing (impact factor: 5.472) (accepted).
127. S. Paul, S. Saha (2020), "CyberBERT: BERT for Cyberbullying Identification", Multimedia Systems (impact factor: 1.563) (accepted).
126. C. Suman, S. Reddy, S. Saha , P. Bhattacharyya (2020), "Why Pay More? A Simple and Efficient Named Entity Recognition System for Tweets", Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted) .
125. K. Jha, S. Saha (2020), "Amalgamation of 3D Structure and Sequence Information for Protein-Protein Interaction Prediction", Nature Scientific Report (impact factor: 4.120, h5-index: 178) (accepted) .
124. S. Mishra, R. Dhir, S. Saha , P. Bhattacharyya, A. Singh (2020), "Image Captioning in Hindi Language using Transformer Networks", Computers & Electrical Engineering (impact factor: 2.663) journal (accepted).
123. S. Giri, P. Dutta,P. Halani, S. Saha (2020), "MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction", IEEE Journal of Biomedical and Health Informatics (impact factor 5.180) (accepted).
122. T. Saha, S. Saha , P. Bhattacharyya (2020), "Towards Sentiment aware Multi-modal Dialogue Policy Learning using Hierarchical Reinforcement Learning". Cognitive Computation (impact factor: 4.980) (accepted).
121. S. Paul, S. Saha , M. Hasanuzzaman (2020), "Identification of Cyberbullying: A Deep Learning based Multimodal Approach " Multimedia Tools and Applications (impact factor: 2.313) (accepted).
120. P. Dutta, P. Mishra, S. Saha (2020), "Incomplete Multi-view Gene Clustering with Data Regeneration using Shape Boltzmann Machine" Computers in Biology and Medicine (impact factor: 3.434) (accepted).
119. R. Salgotra, U. Singh, S. Saha , A. H. Gandomi (2020), "Self Adaptive Cuckoo Search: Analysis and Experimentation", Swarm and Evolutionary Computation (impact factor: 6.912) (accepted).
118. S. Yadav, S. Ramesh, S. Saha , A. Ekbal (2020), "Relation Extraction from Biomedical and ClinicalText: Unified Multitask Learning Framework". IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 3.015)(accepted).
117. T. Saha, S. Ramesh, S. Saha , P. Bhattacharyya (2020), "BERT-Caps: A Transformer based Capsule Network for Tweet Act Classification". IEEE Transactions on Computational Social Systems (accepted).
116. S. Mitra, S. Saha , Md. Hasanuzzaman (2020). "Multi-view Clustering for Multi-Omics Data UsingUnified Embedding", Nature Scientific Reports (impact factor: 4.120, h5-index: 178) (accepted).
115. P. Dutta, S. Saha , S. Naskar (2020). "A Multi-objective based PSO Approach for Inferring Pathway Activity utilizing Protein Interactions", Multimedia Tools and Applications (impact factor: 2.101) (accepted).
114. T. Saha, S. Saha , P. Bhattacharyya (2020). "Towards Sentiment aided Dialogue Policy Learning for Multi-intent Conversations using Hierarchical Reinforcement Learning", PLOS ONE (h5 index: 176, impact factor: 2.776) (accepted).
113. T. Saha, D. Gupta, S. Saha , P. Bhattacharyya (2020). "Towards Integrated Dialogue Policy Learning for Multiple Domains and Intents using Hierarchical Deep Reinforcement Learning", Expert Systems with Applications (accepted)(impact factor: 4.292).
112. N. Saini, S. Saha , S. Mansoori, P. Bhattacharyya (2020). "Fusion of self-organizing map and granular self-organizing map for microblog summarization", Soft Computing (Springer) (accepted) (impact factor: 2.784).
111. R. K. Sanodiya, M. Tiwari, J. Mathew, and S. Saha , S. Saha (2020). "A Particle Swarm Optimization based Feature Selection for Unsupervised Transfer Learning", Soft Computing (Springer) (accepted) (impact factor: 2.784).
110. T. Saha, D. Gupta, S. Saha , P. Bhattacharyya (2020). "A Hierarchical Approach for Efficient Multi-Intent Dialogue Policy Learning". Multimedia Tools and Applications (Springer) , 2020 (accepted) (impact factor: 2.101) (accepted).
109. A. K. Alok, P. Gupta, S. Saha , V. Sharma (2020), "Simultaneous Feature Selection and Clustering of Micro-array and RNA-sequence Gene Expression Data using Multiobjective Optimization", International Journal of Machine Learning and Cybernetics , Springer (impact factor: 3.884) (accepted).
108. D. Paul, S. Saha , J. Mathew (2020), "Improved Subspace Clustering Algorithm using Multi-objective Framework and Subspace Optimization", Expert Systems with Applications (impact factor: 4.292) (accepted).
107. R. Sengupta, M. Pal, S. Saha , S. Bandyopadhyay (2020), "Uniform Distribution driven Adaptive Differential Evolution", Applied Intelligence (impact factor: 2.882) (accepted).
106. S. Mitra, S. Saha , M. Hasanuzzaman (2020), "A Multi-view Deep Neural Network Model for Chemical-Disease Relation Extraction from Imbalanced Datasets", IEEE Journal of Biomedical and Health Informatics (impact factor: 4.217) (accepted).
105. R. K. Sanodiya, J. Mathew, S. Saha , M. Tiwari, P. Tripathi (2020), "Particle Swarm Optimization based Parameter Selection Technique for Unsupervised Discriminant Analysis in Transfer Learning Framework", Applied Intelligence (impact factor: 2.882) (accepted).
104. C. Suman, R. Chaudhari, S. Saha , P. Bhattacharyya, "Emoji helps! A Multi-modal Siamese Architecture for Tweet-user Verification", Cognitive Computation (impact factor: 4.287) (accepted).
103. S. A. Qureshi, G. Dias, M. Hasanuzzaman, and S. Saha , "Improving Depression Level Estimation by Concurrently Learning Emotion Intensity", IEEE Computational Intelligence Magazine (Impact Factor: 5.857) (accepted).
102. T. Saha, D. Gupta, S. Saha , P. Bhattacharyya (2019), "Emotion aided Dialogue Act Classification for Task-Independent Conversations in a Multi-Modal Framework", Cognitive Com-putation (impact factor: 4.287) (accepted).
101. N. Arya and S. Saha (2019), "Multi-modal classification for human breast cancer prognosis prediction: Proposal of deep-learning based stacked ensemble model", IEEE Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).
100. P. Dutta, S. Saha , S. Pai, A. Kumar (2019), "A Protein Interaction Information-based Generative Model for Enhancing Gene Clustering", Scientific Reports, a journal of the Nature Research family (impact factor: 4.5) (accepted).
99. S. Yadav, P. Ramteke, A. Ekbal, S. Saha , P. Bhattacharyya (2019), "Exploring Disorder-aware Attention for Clinical Event Extraction", ACM Transactions on Multimedia Computing Communications and Applications (impact factor: 2.25) (accepted).
98. N. Saini, S. Saha , V. Potnuru, R. Grover, P. Bhattacharyya (2019), "Figure-Summarization: A Multiobjective optimization based approach", IEEE Intelligent Systems (impact factor: 4.464) (accepted).
97. S. Mishra, S. Saha , S. Mondal, Carlos A. Coello Coello (2019). "Divide-and-Conquer Based Non-dominated Sorting with Reduced Comparisons". Swarm and Evolutionary Computation (impact factor: 6.330) (accepted).
96. N. Saini, S. Saha , D. Chakraborty, P. Bhattacharyya (2019). "Extractive single document summarization using binary differential evolution: Optimization of difference sentence quality measures". Plos One (accepted) (impact factor: 2.76, h5 index: 176) .
95. N. Saini, S. Saha , P. Bhattacharyya (2019). "Multi-objective Based Approach for Microblog Summarization". IEEE Transactions on Computational Social Systems (accepted).
94. S. Mitra, M. Hasanuzzaman, S. Saha (2019). "Unified Multi-view Clustering Algorithm using Multi-objective Optimization Coupled with Generative Model". ACM Transactions on Knowledge Discovery from Data (impact factor: 1.489).
93. N. Saini, S. Saha , C. Soni, P. Bhattacharyya (2019). "Automatic Evolution of Bi-clusters from Microarray Data using Self-Organized Multi-objective Evolutionary Algorithm". Springer Applied Intelligence (impact factor: 2.882).
92. N. Saini, S. Saha , P. Bhattacharyya, H. Tuteja (2019), " Textual Entailment based Figure Summarization for Biomedical Articles". ACM Transactions on Multimedia Computing Communications and Applications (2019) (impact factor: 2.25).
90. D. Paul, S. Saha , J. Mathew (2019): "Fusion of Evolvable Genome Structure and Multiobjective Optimization for Subspace Clustering", Pattern Recognition (accepted) (impact factor: 3.962).)
89. P. Dutta, S. Saha , S. Chopra, and V. Miglani (2019): "Ensembling of Gene Clusters utilizing Deep Learning and Protein-protein Interaction Information", IEEE/ACM Transactions on Computational Biology and Bioinformatics (accepted) (impact factor: 2.428).)
88. S. Mitra and S. Saha (2019): "A Multiobjective Multi-view Cluster Ensemble Technique: Application in Patient Subclassification", Plos One (accepted) (h5 index: 180, impact factor: 2.766).)
87. R. Salgotra, U. Singh, S. Saha (2019): "On some improved version of whale optimization algorithm", Arabian Journal for Science and Engineering (accepted) (impact factor: 1.092).)
86. R. K. Sanodiya, S. Saha , J. Mathew (2018): "A Kernel Semi-supervised Distance Metric Learning with Relative Distance: Integration with a MOO Approach", Expert Systems With Applications (accepted) (impact factor : 3.768).
85. R. K. Sanodiya, S. Saha , and J. Mathew (2019) : "Semi-supervised Orthogonal Discriminant Analysis with Relative Distance : Integration with a MOO Approach", Soft Computing (accepted) (impact factor:2.367).
84. R. K. Sanodiya, J. Mathew, S. Saha , and M. D. Thalakottur (2019) : "A New Transfer Learning Algorithm in Semi-supervised Setting", IEEE Access (accepted) (impact factor:3.557).
83. P. Dutta, S. Saha , S. Gulat, " Graph-based Hub Gene Selection Technique using Protein Interaction Information: Application to Sample Classification" , IEEE Journal on Biomedical and Health Informatics, IEEE, 2019 (accepted) (Impact factor: 3.850)
82. R. Sengupta, M. Pal, S. Saha , S. Bandyopadhyay (2019): " NAEMO: Neighborhood-sensitive Archived Evolutionary Many-objective Optimization Algorithm", Swarm and Evolutionary Computation, Elsevier, 2018 (accepted) (Impact factor: 3.818)
81. S. Yadav, A. Ekbal, S. Saha , A. Kumar, P. Bhattacharyya (2018): " Feature Assisted Stacked Attentive Shortest Dependency Path based Bi-LSTM Model for Protein-Protein Interaction" , Knowledge Based Systems , Springer, 2018 (accepted) (Impact factor: 4.396)
80. N. Saini, S. Saha , P. Bhattacharyya (2018): "Automatic Scientific Document Clustering using Self-Organized Multi-objective Differential Evolution Technique", Cognitive Computation , Springer, 2018 (accepted) (Impact factor: 3.44)
79. N. Saini, S. Saha , P. Bhattacharyya (2018): "Sophisticated SOM based Genetic Operators in Multi-objective Clustering Framework", Applied Intelligence , Springer, 2018 (accepted) (Impact factor: 1.983)
78. N. Saini, S. Saha , A. Jangra, P. Bhattacharyya (2018): "Extractive Single Document Summarization using Multi-objective Optimization: Exploring Self-organized Differential Evolution, Grey Wolf Optimizer and Water Cycle Algorithm", Knowledge Based Systems , Elsevier, 2018 (accepted) (Impact Factor: 4.396)
77. S. Acharya, S. Saha and P. Pradhan (2018): "Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering", Gene , Elsevier, 2018 (accepted). (Impact Factor: 2.498)
76. S. Mishra, S. Saha S. Mondal and Carlos A. Coello Coello (2018): "A Divide-and-Conquer based Efficient Non-dominated Sorting Approach", Swarm and Evolutionary Computation , Elsevier, 2018 (accepted). (Impact Factor: 3.893)
75. S. Mishra, S. Mondal, S. Saha (2018): "Towards Obtaining Upper Bound on Sensitivity Computation Process for Cluster Validity Measures", Fundamenta Informaticae , 2018 (accepted) (Impact Factor: 0.725).
74. S. Mitra, S. Saha , S. Acharya (2018): "Fusion of Stability and Multi-objective Optimization for Solving Cancer Tissue Classification Problem", Expert Systems With Applications, Elsevier , 2018, Vol. 113, Pages 377-396 (Impact Factor: 3.768).
73. S. Acharya, S. Saha , P. Pradhan (2018): " Multi-factored gene-gene proximity measures exploiting biological knowledge extracted from Gene Ontology : application in gene clustering" , IEEE/ACM Transactions on Computational Biology and Bioinformatics , Elsevier, 2018 (accepted) ( download supplementary material ) (Impact Factor: 2.428).
72. S. Mishra, S. Mondal, S. Saha , and Carlos A. Coello Coello (2018): "GBOS: Generalized Best Order Sort Algorithm for Non-dominated Sorting", Swarm and Evolutionary Computation , Elsevier, 2018 (accepted). (Impact Factor: 3.893).
71. S. Yadav, A. Ekbal, S. Saha (2018): "Information Theoretic-PSO based Feature Selection: An Application in Biomedical Entity Extraction", Knowledge and Information Systems (accepted) (Impact Factor: 2.004).
70. R. Sengupta, S. Saha (2018): " Reference Point based Archived Many Objective Simulated Annealing", Information Sciences , Vol. 467, Pages 725-749 (Impact Factor: 4.832).
69. S. Acharya, S. Saha , P. Sahoo (2018): " Bi-clustering of Microarray Data using a Symmetry based Multi-objective Optimization Framework", Soft Computing (accepted) (Impact Factor: 2.472).
68. S. Saha , M. Kaur (2018): "Identification of Topology Preserving, Class-Relevant Feature Subsets using Multiobjective Optimization", Soft Computing (accepted) (Impact Factor: 2.472)
67. S. Saha , S. Mitra, S. Kramer (2018): "Exploring Multiobjective Optimization for Multi-view Clustering", ACM Transactions on Knowledge Discovery from Data , Vol. 12(4), Pages 44:1-44:30 (Impact Factor: 1.98).
66. S. Saha , S. Acharya, Kavya K, Saisree (2017): "Simultaneous Clustering and Feature Weighting using Multiobjective Optimization for Identifying Functionally Similar miRNAs ", IEEE Journal of Biomedical and Health Informatics , Vol. 22(5), Pages 1684-1690 (Impact Factor: 3.451) ( download supplementary material ).
65. S. Acharya, S. Saha , N. Nikhil (2017): "Unsupervised gene selection using biological knowledge : application in sample clustering", BMC Bioinformatics , Vol. 18:513 (Impact Factor: 2.448).
64. R. Salgotra, U. Singh, S. Saha (2017): "New Cuckoo Search Algorithms with Enhanced Exploration and Exploitation Properties", Expert Systems With Applications , Elsevier, Vol 95, Pages 384-420 (2018) (Impact Factor: 3.928)
63. S.Saha , R. Das and P. Pakray (2017): "Aggregation of multi-objective fuzzy symmetry-based clustering techniques for improving gene and cancerclassification", Soft Computing , Springer, Vol. 22(18), Pages 5935-5954 (Impact Factor: 2.472)
62. M.Pal, S. Saha , S. Bandyopadhyay (2017): "DECOR: Differential Evolution using Clustering based Objective Reduction for Many-Objective Optimization", Information Sciences , Elsevier, Volume 423, Pages 200--218 (Impact Factor: 4.305).
61. Pratik Dutta and S. Saha (2017): "Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering", Computers in Biology and Medicine , Elsevier, Volume 89, Pages 31--43 (Impact Factor: 1.836).
60. Shweta Yadav, A. Ekbal and S. Saha (2017): " Feature Selection for Entity Extraction from Multiple Biomedical Corpora: A PSO based Approach", Soft Computing , Volume 22, Issue 20, pp 6881--6904 (Impact Factor: 2.472).
59. S.Mishra, S. Mondal, S. Saha (2017): " Improved Solution to the Non-Domination Level Update Problem", Applied Soft Computing , Volume 60, Pages 336-362 (Impact Factor: 3.541).
58. S. Saha (2017): " A Line Symmetry Based Genetic Clustering Technique: Encoding Lines in Chromosomes", International Journal of Machine Learning and Cybernetics (Impact Factor: 1.110).
57. S. Saha (2017): "Enhancing point symmetry-based distance for data clustering", Soft Computing , Vol. 22(2): Pages 409-436 (Impact Factor: 1.630).
56. S. Saha and R. Das (2016): " Exploring Differential Evolution and Particle Swarm Optimization to Develop Some Symmetry Based Automatic Clustering Techniques : Application to Gene Clustering", Neural Computing and Applications , Vol. 30(3): Pages 735-757 (Impact Factor: 1.492).
55. S.Mishra, S. Saha and S. Mondal (2016): "GAEMTBD: Genetic Algorithm based Entity Matching Techniques for Bibliographic Databases", Applied Intelligence , doi:10.1007/s10489-016-0874-z, July 2017, Volume 47, Issue 1, Pages 197--230 (Impact Factor: 1.215).
54. S. Saha , S. Mitra and R. K. Yadav (2016): "A Stack Based Ensemble Framework for Detecting Cancer-microRNA Biomarkers", Genomics, Proteomics and Bioinformatics , Vol. 15(6), Pages 381-388 (Impact Factor: 6.615).
53. S. Acharya and S. Saha (2016): " Importance of Proximity Measures in Clustering of Cancer and miRNA Datasets: Proposal of an Automated Framework", Molecular BioSystems (It is mentioned in the paper that authors equally contributed for the paper), Volume 12, No. 11, Pages 3478-3501 (impact factor: 2.829, h5-index: 43, journal by Royal Society of Chemistry).
52. S. Mishra, S. Saha and S. Mondal (2016): " A Multiobjective Optimization based Entity Matching Technique for Bibliographic Databases", Expert Systems With Applications , Volume 65, 15 December 2016, Pages 100--115 (impact factor: 2.981).
51. U. Sikdar, A. Ekbal and S. Saha (2016): "A Generalized Framework for Anaphora Resolution in Indian Languages", Knowledge-Based Systems , Volume 109, 1 October 2016, Pages 147--159 (impact factor: 3.325).
50. S. Saha , S. Mitra, and R. K. Yadav (2016): " A Multiobjective Based Automatic Framework for Classifying Cancer-microRNABiomarkers", Gene Reports , Volume 109, 1 October 2016, Pages 147--159 (expanded version of Gene) (impact factor: 2.138).
49. S. Mishra, S. Mondal, S. Saha (2016): " Sensitivity- An Important Facet of Cluster Validation Process forEntity Matching Technique", International Journal Transactions on Large-scale Data and Knowledge-Centered Systems (TLDKS) , XXIX Volume of the series Lecture Notes in Computer Science, Pages 1--39.
48. S. Saha , A. Alok, A. Ekbal (2016): "Brain Image Segmentation using Semi-supervised Clustering", Expert Systems with Applications , Volume 52, 15 June 2016, Pages 50--63 (impact factor: 2.240).
47. S. Acharya, S. Saha , S. Bandyopadhyay (2015): " Use of Line Based Symmetry for Developing Cluster Validity Indices", Soft Computing , Volume 20, 1 September 2016, Number 9, Pages 3461--347 (impact factor: 1.271).
46. S. Saha , K. Kuldeep, A. Alok, S. Acharya (2015): "Multi-objective semi-supervised clustering of tissue samples for cancer diagnosis", Soft Computing , Volume 20, 1 September 2016, Number 9, Pages 3381--3392 (impact factor: 1.271).
45. S. Saha , A. Alok, A. Ekbal (2015): "Use of Semi-supervised Clustering and Feature Selection Techniques for Identification of Co-expressed Genes", IEEE Journal of Biomedical and Health Informatics , Volume 20, July 2016, Number 4, Pages 1171--1177 (impact factor: 2.072).
44. A. Alok, S. Saha and A. Ekbal (2015):" Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery", Soft Computing , Vol 20, 1 December 2016, No. 12, Pages 4733--4751 (impact factor: 2.367).
43. A. Ekbal and S. Saha (2015): "Joint Model for Feature Selection and Parameter Optimization Coupled with Classifier Ensemble in Chemical Mention Recognition", Knowledge-Based Systems , Volume 85, 30 September 2015, Pages 37--51 (impact factor: 3.058).
42. S. Acharya, S. Saha , and Y. Thadisina (2015): "Multiobjective Simulated Annealing based Clustering of Tissue Samples for Cancer Diagnosis", IEEE Journal of Biomedical and Health Informatics (J-BHI) (Retitled from the IEEE Transactions on Information Technology in Biomedicine (T-ITB)), Volume 20, March 2016, Issue 2, Pages 691--698 (impact factor: 2.072).
41. A. Alok, S. Saha and A. Ekbal (2015): " A New Semi-supervised Clustering Technique using Multi-objective Optimization", Applied Intelligence , Volume 43, 1 October 2016, Issue 3, Pages 633--661 (impact factor: 1.8).
40. A. Alok, S. Saha and A. Ekbal (2017): " Semi-Supervised Clustering for Gene-Expression Data in Multiobjective Optimization Framework", International Journal of Machine Learning and Cybernetics , Volume 8, Issue 2, Pages 421--439 (impact factor: 1.699).
39. U. Sikdar, A. Ekbal and S. Saha (2015):" MODE: Multiobjective Differential Evolution for Feature Selection and Classifier Ensemble", Soft Computing , Volume 19, 1 December 2015, Number 12, Pages 3529--3549, (impact factor: 1.304).
38. S. Saha , R. Spandana, A. Ekbal, S. Bandyopadhyay (2015):"Simultaneous Feature Selection and Symmetry Based Clustering using Multiobjective Framework", Applied Soft Computing , Volume 29, 30 April 2015, Pages 479--486 (impact factor: 2.679).
37. U. Sikdar, A. Ekbal, S. Saha , O. Uryupina, M. Poesio (2015): "Differential Evolution Based Feature Selection Technique for Anaphora Resolution System", Soft Computing , Volume 19, 1 August 2015, Number 8, Pages 2149--216, DOI 10.1007/s00500-014-1397-3 (impact factor: 2.367).
36. A. Ekbal, S. Saha , and U. Sikdar (2016): "On Active Annotation for Named Entity Recognition from Indian Languages and Biomedical Domain", International Journal of Machine Learning and Cybernetics , Volume 7, 1 August 2016, Number 4, Pages 623--640, (impact factor: 1.699).
35. A. Ekbal and S. Saha (2016): "Simultaneous Feature and Parameter Selection Using Multiobjective Optimization: Application to Named Entity Recognition", International Journal of Machine Learning and Cybernetics , Volume 7, 1 August 2016, Number 4, Pages 597--611, DOI 10.1007/s13042-014-0268-7, (impact factor: 1.699).
34. A. Ekbal and S. Saha (2013): "Stacked Ensemble Coupled with Feature Selection for Biomedical Entity Extraction". Knowledge-Based Systems , 46 (July 2013), 22-32. (impact factor: 4.396).
33. A. Ekbal, S. Saha and U. K. Sikdar: "Biomedical Named Entity Extraction: Some Issues of Corpus Compatibilities". SpringerPlus Journal , Volume 2, Pages 601-613
32. S. Saha , A. Eknal, K. Gupta and S. Bandyopadhyay (2013): " Gene Expression Data Clustering Using A Multiobjective Symmetry Based Clustering Technique". Computers in Biology and Medicine , Volume 43, Issue 11, Pages 1965-1977 (impact factor: 2.115).
31. S. Saha , A. Ekbal and U. Sikdar (2015): "Named Entity Recognition and Classification in Biomedical Text Using Classifier Ensemble". International Journal of Data Mining and Bioinformatics , Vol. 11, 1 January 2015, No. 4, 2015 (impact factor: 0.681).
30. S. Saha and S. Bandyopadhyay (2013): "A Generalized Automatic Clustering Algorithm in a Multiobjective Framework". Applied Soft Computing Journal , Volume 13 (2013), pp. 89-108 (impact factor: 2.612).
29. S. Saha , A. Ekbal (2012): " Combining Multiple Classifiers Using Vote Based Classifier Ensemble Technique for Named Entity Recognition". Data \& Knowledge Engineering , 2012, Volume 85, Pages 15-39 (impact factor: 1.476).
28. S. Saha and S. Bandyopadhyay (2012): " Some connectivity based cluster validity indices". Applied Soft Computing 12(5): 1555-1565 (2012) (impact factor: 2.612).
27. A. Ekbal, S. Saha (2013): "Combining feature selection and classifier ensemble using a multiobjective simulated annealing approach: application to named entity recognition". Soft Computing , Volume 17, Issue 1, Pages 1-16, 2013. (impact factor: 2.367).
26. A. Ekbal, S. Saha (2013): " Simulated Annealing Based Classifier Ensemble Techniques: Application to Part of Speech Tagging". Information Fusion , Volume 14, Issue 3, Pages 288-300, 2013 (impact factor: 6.639).
25. A. Ekbal and S. Saha (2011):" A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies". Expert Systems with Applications volume 38(12): 14760-14772 (2011), Elsevier (impact factor: 3.768)
24. A. Ekbal and S. Saha (2012): "Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition". International Journal on Document Analysis and Recognition (IJDAR) , 15, 2 (June 2012), 143-166. (impact factor: 1.298).
23. A. Ekbal, S. Saha (2011): "Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach". ACM Trans. Asian Lang. Inf. Process. Volume 10(2): 9 (2011)
22. A. Ekbal, F. Bonin, S. Saha , E. Stemle, E. Barbu, F. Cavulli, C. Girardi, F. Nardelli and M. Poesio (2011): "Rapid Adaptation of NE Resolvers for Humanities Domains using Active Annotation". Journal for Language Technology and Computational Linguistics (JLCL) , Volume 26, Issue 2, Pages 39-51
21. S. Saha and S. Bandyopadhyay (2011): " Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach", Applied Intelligence , 35(3): 411-427 (2011) (impact factor: 1.298).
20. S. Saha and S. Bandyopadhyay (2010): "Use of different forms of symmetry and multi-objective optimization for automatic pixel classification in remote-sensing satellite imagery", International Journal of Remote Sensing , Volume 31, 22 (July 2010), 5751-5775 (impact factor: 1.117).
19. S. Saha and S. Bandyopadhyay (2011): "On Principle axis based Line Symmetry Based Clustering Techniques", Memetic Computing , Volume 3(2): 129-144 (2011). .
18. S. Saha and U. Maulik (2010): "Use of Symmetry and Stability for Data Clustering", Evolutionary Intelligence , 3(3-4): 103-122 (2010).
17. S. Saha and U. Maulik (2011): "A New Line Symmetry Distance Based Automatic Clustering Technique : Application to Image Segmentation", International Journal of Imaging Systems and Technology , Volume 21, Issue 1, pages 86-100, March 2011 (impact factor: 0.768). .
16. S. Bandyopadhyay, S. Saha and Witold Pedrycz (2011): "Use of a fuzzy granulation-degranulation criterion for assessing cluster validity". Fuzzy Sets and Systems , Volume 170(1): 22-42 (2011) (impact factor: 2.675). .
15. A. Ekbal and S. Saha (2010): "Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition". Research on Language and Computation Journal , Springer 8:73-99 (2010). .
14. S. Saha and S. Bandyopadhyay (2010): " Application of a Multiseed Based Clustering Technique for Automatic Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters , Volume 7, Issue 2, Pages 306-308, April 2010 (impact factor: 1.42). .
13. S. Saha , S. Bandyopadhyay (2010): "A symmetry based multiobjective clustering technique for automatic evolution of clusters", Pattern Recognition , Volume 43, Issue 3, March 2010, Pages 738-751 (impact factor: 3.962). .
12. S. Saha and S. Bandyopadhyay (2010): "A New Multiobjective Clustering Technique Based on the Concepts of Stability and Symmetry", Knowledge and Information Systems , Volume 23, Issue 1, Pages 1-27, April, 2010 (impact factor: 2.247) .
11. S. Saha and S. Bandyopadhyay (2009): "Semi-GAPS: A Semi-supervised Clustering Technique Using a Point Symmetry Based Distance", Fundamenta Informaticae , Volume 96, Issue 1-2, 2009, Pages 195-209 (impact factor: 0.658) .
10. S. Saha , S. Bandyopadhyay (2009): " A New Multiobjective Simulated Annealing Based Clustering Technique Using Symmetry", Pattern Recognition Letters , Volume 30, Issue 15, Pages 1392-1403, 2009 (impact factor: 1.952) .
9. S. Saha , S. Sur-Kolay, P. Dasgupta and S. Bandyopadhyay (2009):" MAkE: Multiobjective Algorithm for k-way Equipartitioning of a Point Set", Applied Soft Computing , Volume 9, Pages 711-724, 2009 (impact factor: 3.907) .
8. S. Saha and S. Bandyopadhyay (2009): "Some Symmetry Based Classifiers", Fundamenta Informaticae , Volume 90, Issue 1-2, Pages 107-123, 2009 (impact factor: 0.658) .
7. S. Saha and S. Bandyopadhyay (2009): "Performance Evaluation of Some Symmetry Based Cluster Validity Indices", IEEE Transactions on Systems, Man, and Cybernetics, Part C , Volume 39, Issue 4, Pages 420-425, July, 2009 (impact factor: 2.016) .
6. S. Saha and S. Bandyopadhyay (2009): " A New Line Symmetry Distance and its Application to Data Clustering", Journal of Computer Science and Technology , Volume 24, Issue 3, Pages 544-556, May 2009 (impact factor: 0.656) .
5. S. Saha and S. Bandyopadhyay (2009): "A New Point Symmetry Based Fuzzy Genetic Clustering Technique for Automatic Evolution of Clusters", Information Sciences , Volume 179, Issue 19, Pages 3230-3246, 2009 (impact factor: 4.305) .
4. S. Bandyopadhyay and S. Saha (2008): "A Point Symmetry Based Clustering Technique for Automatic Evolution of Clusters", IEEE Transactions on Knowledge and Data Engineering. Volume 20, Nov 2008, Issue 11, Pages 1--17 (impact factor: 2.476, h5-index: 66) [Total citations: 126].
3. S. Bandyopadhyay, S. Saha , U. Maulik and K. Deb (2008): " A Simulated Annealing Based Multiobjective Optimization Algorithm: AMOSA", IEEE Transaction on Evolutionary Computation , Volume 12, Issue 3, Pages 269-283, JUNE 2008 (impact factor: 3.736) .
2. S. Saha and S. Bandyopadhyay (2008): " Application of a New Symmetry Based Cluster Validity Index for Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters , Volume 5, Issue 2, Pages 166-170, April 2008 (impact factor: 2.761) .
1. S. Bandyopadhyay and S. Saha (2007):" GAPS: A New Symmetry Based Genetic Clustering Technique ", Pattern Recognition , Volume 40, Issue 12, Pages 3430-3451, Decembr 2007 (impact factor: 3.962)
285. A. Ghosh, T. Ashraf, R. K. Singh, N. Saeed, S. Saha , X. Chen, S. Khan (2026), "CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare", CVPR Findings 2026 (Core rank A*, h5-index 450) .
284. S. Malik, H. Md. Abdullah, S. Saha , A. Sheth (2026), "Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone", EACL 2026, Rabat, Morocco, March 24–29 (core rank A) .
283. P. Jha, K. Mandal, A. Acharya, S. Saha , S. Dandapat (2026), "ElectoralCheck: Benchmarking LLM Political Stances on Election Topics", EACL 2026, Rabat, Morocco, March 24–29 (core rank A) .
282. N. Kumar, S. Kumar, S. Akash, M. Gupta, A. Karat, S. Saha (2025), "SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs", ECIR 2026 (core rank A) .
281. S. Das, A. Singh, R. K. Singh, N. Shreya, S. Saha (2025), "ExpertMix: Aspect and Severity Detection in Conversational Complaints", ECIR 2026 (core rank A) .
280. R. Kumar, M. Salman S A, J. Verma, S. Saha (2025), "From Comments to Conclusions: Adaptive Reader-Aware Summary Generation in Low-Resource Languages via Agent Debate", ECIR 2026 (core rank A) .
279. R. Kumar, A. S. Poornash, S. Saha (2025), "Small Models, Big Picture! A Language Model Augmentation for Enhanced Reader-Aware Summarization", ECIR 2026 (core rank A) .
278. R. K. Singh, N. Shreya, S. Das, A. Singh, S. Saha (2025), "Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances", AAAI 2026 (core rank A*) .
277. S. Jamil, K. Sai Charan, S. Saha , K. Goswami, Joseph K J (2025), "Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation", AAAI 2026 (core rank A*) .
276. S. S. Ghosal, V. Singh, A. Ghosh, S. Pal, S. Baidya, S. Saha , and D. Manocha (2025), "RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples", EMNLP 2025 Findings (core rank A*) .
275. A. Ghosh, D. Datta, S. Saha , and C. Agarwal (2025), "The Multilingual Mind: A Survey of Multilingual Reasoning in Language Models", EMNLP 2025 Findings (core rank A*) .
274. P. K. Singh, N. Kumar, A. Ghosh, K. Pasad, K. Soni, M. Jaishwal, S. Saha , Syukron Abu Ishaq Alfarozi, Asres Temam Abagissa, K. Pasupa, J. G Moreno, and H. Yang (2025), "Let’s Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models’ Understanding of Sports", EMNLP 2025 (core rank A*) .
273. A. Acharya, A. Ghosh, P. Verma, K. Pasupa, S. Saha , and P. Singh (2025), "M3Retrieve: Benchmarking Multimodal Retrieval for Medicine", EMNLP 2025 (core rank A*) .
272. A. Maji, R. Kumar, A. Ghosh, Anushka, N. Shah, A. Borah, V. Shah, N. Mishra, and S. Saha (2025), "DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models’ Understanding on Indian Culture", EMNLP 2025 (core rank A*) .
271. S. Jamil, K. Sai Charan, S. Saha , K. Goswami, and Joseph K J (2025), "Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation", EMNLP 2025 (core rank A*) .
270. S. Das, R E Zera Marveen Lyngkhoi, K. Jain, V. Goyal, S. Saha , and M. Gupta (2025), "When Words Can’t Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset", CIKM 2025 Applied Research Track (core rank A) .
269. S. Das, P. Mathur, I. Sharma, S. Saha , K. Pasupa, and A. Maurya (2025), "Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters", 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, ITALY, October 25–30, 2025 (core rank A) .
268. S. Jamil, B. A. Reddy, R. Kumar, S. Saha , K. Goswami, Joseph K J (2025), "Poem-Tale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi Stage Prompt Refinement", 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, ITALY, October 25–30, 2025 (core rank A) .
267. S. Das, R E Zera Marveen Lyngkhoi, S. Saha , A. Maurya (2025), "Unlocking Financial Insights: A Advanced Multimodal Summarization with Multimodal Output Framework for Financial Advisory Videos", 33rd ACM International Conference on Multimedia (ACM Multimedia), Ireland, October 27–31, 2025 (core rank A*) .
266. P. Singh, N. Kumar, H. Mehta, S. Saha (2025), "Conversations to Insights: A Multimodal Approach to Discussion Summarization", 19th International Conference on Document Analysis and Recognition (ICDAR 2025), Wuhan, Hubei, China, September 16–21, 2025 (core rank A) .
265. A. Maji, R. Kumar, A. Ghosh, Anushka, S. Saha (2025), "SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models’ Knowledge of Indian Culture", 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, July 27–August 1st, 2025 (ACL Findings) (core rank A*) .
264. A. Ghosh, A. Garimella, P. Ramu, S. Bandyopadhyay, S. Saha (2025), "Infogen: Generating Complex Statistical Infographics from Documents", The 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, July 27–August 1st, 2025 (ACL Main) (core rank A*) .
263. R. Kumar, M. Salman S A, A. Sahu, T. Nandi, Pragathi Y P, S. Saha , J. G Moreno (2025), "COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation", The 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, July 27–August 1st, 2025 (ACL Main) (core rank A*) .
262. R. Ranaut, S. Saha , A. Jatowt, and M. Gupta (2025), "Text Obsoleteness Detection using Large Language Models", SIGIR' 2025 (short paper) (Core Rank A*) .
261. S. Jamil, B. Areen Reddy, R. Kumar, S. Saha , Joseph K J and K. Goswami (2024), “Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models”, 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, January 19–24, 2025.
260. S. Jamil, A. Dabad, B. A. Reddy, S. Saha , R. Misra and A. A. Shakur (2024), “GAS- CADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharma- covigilance”, European Conference on Information Retrieval ( ECIR 2025), Lucca, Italy, April 6-10, 2025 (Core rank A).
259. S. Das, B. Mujavarsheik, R E Zera Lyngkhoi, S. Saha and A. Maurya (2025), "Deciphering the complaint aspects: Towards an aspect-based complaint identification model with video complaint dataset in finance", WACV 2025 (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)), USA (Core rank A) .
258. P. Sahoo, P. Meharia, A. Ghosh, S. Saha , V. Jain, A. Chadha (2024), “Unveiling Halluci- nation in Text, Image, Video, and Audio Foundation Models: A Comprehensive Review”, EMNLP findings 2024 , The 2024 Conference on Empirical Methods in Natural Language Processing, November 12–16, Miami, Florida (Core rank A*) .
257. A. Ghosh, A. Acharya, S. Saha , G. Pandey, D. Raghu, S. Sinha(2024), “HealthAlign- Summ: Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues”, EMNLP findings 2024 , The 2024 Conference on Empirical Methods in Natural Language Processing, November 12–16, Miami, Florida (Core rank A*) .
256. K. Maity, A.S. Poornash, S. Saha and K. Pasupa (2024), "ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos", 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) , Boise Centre Boise, Idaho, USA from October 21 – 25 2024 (short paper) (Core rank A) .
255. R. Devanathan, A. Singh, A.S. Poornash, S. Saha (2024), "Seeing Beyond Words: Multimodal Aspect-Level Complaint Detection in Ecommerce Videos", ACM Multimedia , Melbourne, Australia, 28th October 1st November 2024 (Core rank A*) .
254. P. Sahoo, A. Tripathi, S. Saha , and S. Mondal (2024), "FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging", 27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI 2024) , 6-10 October 2024, MARRAKESH, MOROCCO (core rank A) .
253. A. Tiwari, Muhammed Sinan C K, K. Roy, A. Sheth, S. Saha , P. Bhattacharyya (2024), "Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function", in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024) going to be held from September 9-13 in Vilnius (Core rank A) .
252. P. Jha, R. Jain, K. Mandal, A. Chadha, S. Saha , P. Bhattacharyya (2024), "MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention", 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand August 11–16, 2024 (Core rank A*) .
251. A. Ghosh, M. Singh Tomar, A. Tiwari, S. Saha , J. A. Salve, S. Sinha (2024), "From Sights to Insights: Towards Summarization of Multimodal Clinical Documents", 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand August 11–16, 2024 (Core rank A*) .
250. K. Maity, A.S. Poornash, S. Saha , P. Bhattacharyya (2024), "ToxVidLLM: A Multimodal Approach to Detect Toxicity in Code-Mixed Video Content", 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) Findings, Bangkok, Thailand August 11–16, 2024 (Core rank A*) .
249. P. Sahoo, A. K. Singh, S. Saha , A. Chadha, S. Mondal (2024), "Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development", 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) Findings, Bangkok, Thailand August 11–16, 2024 (Core rank A*) (Findings).
248. R. Kumar, D. Prakash, S. Saha , and S. Sharma (2024), “IndicBART alongside Visual Element: Multimodal Summarization in Diverse Indian Languages”, ICDAR (Interna- tional Conference on Document Analysis and Recognition 2024) , Athens, Greece from 30 August–4 September 2024 (Core rank A) .
247. D. Sojitra, R. Jain, S. Saha , A. Jatowt and M. Gupta (2024), "Timeline Summarization in the Era of LLMs", 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (𝐒𝐈𝐆𝐈𝐑 𝟐𝟎𝟐𝟒), July 14-18, 2024 (Washington D.C., USA).
246. P. Mondal, S. Singh, Kushum, S. Saha , J. P. Singh, B. Singh, PhD, N. Pedanekar (2024), "Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis", WebConf 2024 (WWW 2024) , Singapore, May 13-17, 2024 (Core rank A*) .
245. P. Jha, K. Maity, R. Jain, A. Verma, S. Saha , P. Bhattacharyya (2024),"Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Ex- planations", 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), March 17-22, 2024 (Core rank A) .
244. A. Ghosh, A. Acharya, R. Jain, S. Saha , A. Chadha, S. Sinha (2024), "CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare, AAAI (Association for the Advancement of Artificial Intelligence) (2024), (Core rank A*) , February 20-27, 2024, Canada.
243. A. Ghosh, A. Acharya, P. Jha, A. Gaudgaul, R. Majumdar, S. Saha , A. Chadha, R. Jain, S. Sinha and S. Agarwal (2024), "MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries", ECIR (European Conference on Information Retrieval) 2024 (IR for Good), Glasgow, Scotland, 24th-28th March 2024 (Core rank A) .
242. M. S. Tomar, A. Tiwari, T. Saha, P. Jha, S. Saha (2024), "An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant", ECIR (European Conference on Information Retrieval) 2024, Glasgow, Scotland, 24th-28th March 2024 (Core rank A) .
241. A. Tiwari, S. Bera, S. Saha , P. Bhattacharyya, and S. Ghosh (2024), "Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation", ECIR (European Conference on Information Retrieval) 2024 (IR for Good), Glasgow, Scotland, 24th-28th March 2024 (Core rank A) .
240. S. Raj, P. Agrawal, S. Saha , B. Singh, and N. Pedanekar (2023), "Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges", 39th ACM/SIGAPP Symposium On Applied Computing , Avila, Spain, April 8 --April 12, 2024.
239. A. Singh, S. Chandrasekar, S. Saha , T. Sen (2023), "Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification", Conference on Empirical Methods in Natural Language Processing 2023 (Core rank A*) , Singapore.
238. A. Tiwari, S. Bera, P. Verma, J. V. Manthena, S. Saha , P. Bhattacharyya, M. Dhar and S. Tiwari (2024), "Seeing is believing! Towards Knowledge-Infused Multi-modal Medical Dialogue Generation", LREC-COLING 2024 , Lingotto Conference Centre - Torino (Italia) from 20-25 May 2024.
237. M. S. Tomar, T. Saha, A. Tiwari, and S. Saha (2024), "Action and Reaction go hand in hand! A Multi-modal Dialogue Act aided Sarcasm Identification", LREC-COLING 2024 , Lingotto Conference Centre - Torino (Italia) from 20-25 May 2024.
236. K. Maity, R. Jain, P. Jha, S. Saha , P. Bhattacharyya (2023), "GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection", Conference on Empirical Methods in Natural Language Processing 2023 (Core rank A*) , Singapore
235. A. Raut, S. Saha , A. Maitra and R. Ramnani (2023), “Sentiment Aided Graph Attentive Contextualization for Task-Oriented Negotiation Dialogue Generation”, IJCNLP-AACL 2023: The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia (November 1–4).
234. A. Singh, R. Jain, S. Saha (2023), “Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework”, IJCNLP-AACL 2023: The 13th Interna- tional Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia (November 1–4).
233. R. Kumar, R. Chakraborty, A. Tiwari, S. Saha and N. Saini (2023), "Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity”, 32nd ACM International Conference on Information and Knowledge Management (CIKM) (Core rank A) , The University of Birmingham and Eastside Rooms, UK from Saturday 21 - Wednesday 25 October 2023.
232. A. Singh, A. Verma, R. Jain, and S. Saha (2023), "Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis”, 32nd ACM International Conference on Information and Knowledge Management(CIKM) (Core rank A) , The University of Birmingham, UK, Saturday 21 - Wednesday 25 October 2023.
231. A. Tiwari, A. Saha, S. Saha , P. Bhattacharyya and M. Dhar (2023), "Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization”, 32nd ACM International Conference on Information and Knowledge Management(CIKM) (Core rank A) , The University of Birmingham, UK from Saturday 21 - Wednesday 25 October 2023.
230. A. Tiwari, A. Bhansali, S. Saha , P. Bhattacharyya, P. Verma, M. Dhar (2023), "Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering”, ECAI (European Conference on Artificial Intelligence) 2023 (Core rank A) .
229. R. Jain, T. Saha, S. Saha (2023), "T-VAKS: A Tutoring-based Multimodal Dialog System via Knowledge Selection”, ECAI (European Conference on Artificial Intelligence) 2023 (Core rank A) .
228. M. Singh Tomar, A. Tiwari, T. Saha, S. Saha (2023), "Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection”, ACM Multimedia (Core rank: A*) .
227. R.Jain, A. Singh, V. Gangwar, S. Saha (2023), "AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection”, ACM Multimedia (Core rank: A*) .
226. A. Singh, R. Jain, P. Jha, S. Saha (2023), "Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection”, ACL 2023 (Core rank: A*) .
225. R. Jain, T. Saha, J. Lalwani, S. Saha (2023), "Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization", Conference on Empirical Methods in Natural Language Processing 2023 (Core rank A*) , Singapore.
224. R. Jain, D. Sojitra, A. Acharya, S. Saha , A. Jatowt, S. Dandapat (2023), "Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models", Conference on Empirical Methods in Natural Language Processing 2023 (Core rank A*) .
223. N. Arya, K. Gupta, S. Saha (2023), "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework”, 2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Conference (EMBC) , Sydney, Australia from 24th-27th July 2023.
222. S. Roha, N. Ganapathy, N. Spicher, S. Saha , T. Deserno (2023), "Assessment of Driver’s Stress using Multimodal Biosignals and Regularized Deep Kernel Learning”, 2023 45th Annual International Conference of the IEEE Engineering in Medicine Biology Conference (EMBC) , Sydney, Australia from 24th-27th July 2023.
221. K. Maity, P. Jha, R. Jain, S. Saha , P. Bhattacharyya (2023), "Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation”, International Conference on Document Analysis and Recognition (ICDAR 2023) (Core rank A)
220. R. Kumar, R. Sinha, S. Saha , A. Jatowt (2023), "Multimodal Rumour Detection: Catching news that never transpired!”, International Conference on Document Analysis and Recognition (ICDAR 2023) (Core rank A) .
219. S. Das, S. Saha , A. Maurya (2023), "Find the Table”: A Contrastive Learning-Based Approach with Faster RCNN for Establishing Tabular Entity Relationships”, International Joint Conference on Neural Network (IJCNN 2023) .
218. S. Raj, P. Mondal, D. Chakder, S. Saha , N. Onoe (2023), "A Multi-Modal Multi-Task Based Approach for Movie Recommendation”, International Joint Conference on Neural Network (IJCNN 2023) , Australia.
217. R. Jain, K. Maity, P. Jha, S. Saha (2023), "Generative Models Vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?”, International Joint Conference on Neural Network (IJCNN 2023) , Australia.
216. S. Mukherjee, R. Kumar, S. Saha , A. Jatowt, A. Jangra (2023), "Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries?”, International Joint Conference on Neural Network (IJCNN 2023) , Australia.
215. Y. Verma, A. Jangra, R. Verma and S. Saha (2023), "Large Scale Multi-Lingual Multi-Modal Summarization Dataset", EACL 2023 (Core rank A) .
214. A. Singh, V. Gangwar, S. Sharma, S. Saha (2023), "Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection", ECIR 2023 (Core rank A) , Dublin.
213. A. Singh, P. Jha, R. Bhatia, S. Saha (2023), "What is your cause for concern? Towards Interpretable Complaint Cause Analysis", ECIR 2023 (Core rank A) , Dublin, Ireland.
212. V. Singh Roha, N. Saini, S. Saha , J. Moreno (2023), "MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization", ECIR 2023 (Core rank A) , Dublin, Ireland.
211. P. Mondal, D. Chakder, S. Raj, S. Saha and Naoyuki Onoe (2023), "Graph Convolutional Neural Network for Multimodal Movie Recommendation", in ACM Symposium on Applied Computing , Tallinn Estonia. .
209. A. Tiwari, M. Manthena, S. Saha , P. Bhattacharyya, M. Dhar and S. Tiwari (2022), "Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant", in CIKM 2022, Altanta (core rank A) .
208. T. Saha, A. Prakash Patra, S. Saha and P. Bhattacharyya (2022), "Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification", in AACL-IJCNLP 2022 .
207. A. Tiwari, S. Saha , S. Sengupta, A. Maitra, R. Ramnani and P. Bhattacharyya (2022), "Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant", in AACL-IJCNLP 2022 .
206. S. Mukherjee, A. Jangra, S. Saha , and A. Jatowt (2022), "Topic-aware Multimodal Summarization", in AACL-IJCNLP Findings 2022 .
205. P. Sahoo, S. Saha , S. Mondal, S. Chowdhury and S. Gowda (2022), "Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray", in ICONIP 2022 , New-Delhi, India (Core rank B) .
204. K. Maity, S. Bhattacharya, S. Saha , S. Janoai, and K. Pasupa (2022), "FastThaiCaps: A Transformer based Capsule Network for Hate Speech Detection in Thai Language", in ICONIP 2022 , New-Delhi, India (Core rank B) .
203. A. Raut, S. Das, A. Tiwari, S. Saha , A. Maitra, R. Ramnani and S. Sengupta (2022), "Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent", in ICONIP
2022 , New-Delhi, India (Core rank B) .
202. S. Palmal, N. Arya, S. Saha and S. Tripathy (2022), "A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis", in ICONIP 2022 , New-Delhi, India (Core rank B) .
201. D. Das, N. Arya and S. Saha (2022), "Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification", in ICONIP 2022 , New-Delhi, India (Core rank B) .
200. R. Kumar and S. Saha (2022), "Decoding Brain Signals with Meta-Learning", in ICONIP 2022 , New-Delhi, India (Core rank B) .
199. C. Suman, S. Saha and P. Bhattacharyya (2022), "Emotion-aided Multi-modal Personality Prediction System", in ICONIP 2022 , New-Delhi, India (Core rank B) .
198. P. Sahoo, S. Saha , S. Mondal, S. Gowda (2022), "Vision Transformer Based COVID-19 Detection Using Chest CT-scan images", in IEEE International Conference on Biomedical and Health Informatics (BHI-22) , Ioannina Greece, from 27-30 September 2022.
197. S. K. Mishra, S. Sinha, S. Saha and P. Bhattacharyya (2022), "A Deep Learning based Framework for Image Paragraph Generation in Hindi", in PACLIC 36 (2022) (The 36th Pacific Asia Conference on Language, Information and Computation) . October 20-22, 2022 (Core rank B) ).
196. D. Chakder, P. Mondal, S. Raj, S. Saha , A. Ghosh, N. Onoe (2022), "Graph Network based Approaches for Multi-modal Movie Recommendation System", in IEEE SMC 2022 (Core rank B) .
195. P. Jha, Gael Dias, A. Lechervy, Jose G Moreno, A. Jangra, S. Pais, S. Saha (2022), "Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations", in ACM Multimedia, 10-14 October 2022, Lisbon, Portugal (category A*) .
194. A. K. Trivedi, A. Tiwari, S. Saha , A. Maitra, R. Ramnani, S. Sengupta (2022), "Towards Sentiment and Emotion aided Intent Detection", in 26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada .
193. C. Suman, S. Saha , P. Bhattacharyya (2022), "Authorship Attribution of Scientific Abstracts", in 26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada .
192. K. Maity, S. Saha , P. Bhattacharyya (2022), "Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques", in 26TH International Conference on Pattern Recognition, August 21-25, 2022, Montral, Canada .
191. P. Sahoo, S. Saha , S. Mondal, S. Chowdhury, S. Gowda (2022), "Computer-Aided COVID-19 Screening from Chest CT-scan using a Fuzzy Ensemble-based Technique", in 2022 International Joint Conference on Neural Networks (IJCNN 2022) , July 18-23, 2022, Padova, Italy.
190. R. Jain, T. Saha, S. Chakraborty, S. Saha (2022), "Domain Infused Conversational Response Generation for Tutoring based Virtual Agent", in 2022 International Joint Conference on Neural Networks (IJCNN 2022) , July 18-23, 2022, Padova, Italy.
189. S. Pingali, P. Mondal, D. Chakder, S. Saha , A. Ghosh (2022), "Towards Developing a Multi-Modal Video Recommendation System", in 2022 International Joint Conference on Neural Networks (IJCNN 2022) , July 18-23, 2022, Padova, Italy.
188. C. Suman, A. Singh, S. Saha , P. Bhattacharyya (2022), "Development of Multi-task Models for Emotion-Aware Gender Prediction", in 2022 International Joint Conference on Neural Networks (IJCNN 2022) , July 18-23, 2022, Padova, Italy.
187. S. Palmal, S. Saha , S. Tripathy (2022), " HIV-1 Protease Cleavage Site Prediction using Staked Autoencoder with Ensemble of Classifier", in 2022 International Joint Conference on Neural Networks (IJCNN 2022) , July 18-23, 2022, Padova, Italy.
186. T. Saha, S. M. Reddy, A. S. Das, S. Saha , P. Bhattacharyya (2022), "A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony ", in NAACL 2022 (core rank A) .
185. R. Kumar, S. Mathias, S. Saha , P. Bhattacharyya (2022), "Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays", in NAACL 2022 (core rank A) .
184. K. Maity, P. Jha, S. Saha , P. Bhattacharyya (2022), "A Multitask Framework for Sentiment, Emotion, and Sarcasm aware Cyberbullying Detection in Multi-modal Code-Mixed Memes", in SIGIR 2022 (core rank A*) .
183. K. Maity, S. Bhattacharya, S. Phosit, S. Kongsamlit, S. Saha , K. Pasupa (2023), "Ex-ThaiHate: A Generative Multitask Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai", ECML-PKDD (Core rank A) .
182. V. Singh Roha, N. Saini, S. Saha , Jose G. Moreno Franco (2022), "Unsupervised Comment-based Multi-document Extractive Summarization", in GECCO 2022 (core rank A) .
181.S. Mishra, H. Kundarapu, S. Mitra, S. Saha , P. Bhattacharyya (2022), "Bug Report Summarization using Multi-View Multi-Objective Optimization Framework", in GECCO 2022 (core rank A) .
180. P. Sahoo, S. Saha , S. Mondal, N. Sharma (2022), "COVID-19 Detection from Lung Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique", in ICPR 2022 .
179. B. Shaw, S. Saha , S. Mishra, A. Ghosh (2022), "Investigations in Psychological Stress Detection from Social Media Text using Deep Architectures", in ICPR 2022 .
178. A Singh, S. Dey, A. Singha, S. Saha (2021), "Sentiment and Emotion-aware Multi-modal Complaint Identification", in AAAI 2022 (core rank A*) .
177. A. Singh, A. Nazir, S. Saha (2021), "Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection", in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A) , Norway.
176. R. Jain, V. Mavi, A. Jangra, S. Saha (2021), "WIDAR - Weighted Input Document Augmented ROUGE", in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A) , April 10-14, 2022, Norway.
175. M. Tiwari, R. K. Sanodiya, J. Mathew, and S. Saha (2021), "A Particle Swarm Optimization based Feature Selection approach for Multi-source Visual Domain Adaptation", in 28th International Conference on Neural Information Processing (ICONIP-2021) , December 8 - 12, 2021, BALI, Indonesia.
174. N. Priya, A. Tiwari and S. Saha (2021), "Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach", in 28th International Conference on Neural Information Processing (ICONIP-2021), . December 8 - 12, 2021, BALI, Indonesia
173. K. Maity and S. Saha (2021), "A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages", in 28th International Conference on Neural Information Processing (ICONIP-2021) , December 8 - 12, 2021, BALI, Indonesia.
172.A. S. Das and S. Saha (2021), "Self-supervised Image-to-Text and Text-to-Image Synthesis", in 28th International Conference on Neural Information Processing (ICONIP-2021) ,December 8 - 12, 2021, BALI, Indonesia.
171. R. Kumar and S. Saha (2021), "A multi-task learning scheme for Motor Imagery Signal Classification", in 28th International Conference on Neural Information Processing (ICONIP-2021) , December 8 - 12, 2021, BALI, Indonesia.
170. R. Salgotra, S. Singh, U. Singh, S. Saha , and A. H Gandomi (2021), "Hybridizing CuckooSearch with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites", in IEEE Symposium Series on Computational Intelligence , December 4th 7th 2021, Orlando, Florida, USA.
169. D. Bansal, R. Grover, S. Saha (2021), "A Multi-view Multiobjective Partitioning Technique for Search Results Clustering", in IEEE International Confere nce on Systems, Man and Cybernetics 2021 , 17th October - 21st October, 2021.
168. P. Dutta, N. Shah, S. Saha (2021), "A Multi-Objective Optimization-based Clustering Approach for CORD-19 Scholarly Articles", in IEEE International Confere nce on Systems, Man and Cybernetics 2021 , 17th October - 21st October, 2021.
167. A. Shastri, N. Saini, S. Saha , S. Mishra (2021), "MEABRS: A Multi-objective Evolutionary Framework for Software Bug Report Summarization", in IEEE International Confere nce on Systems, Man and Cybernetics 2021 , 17th October - 21st October, 2021.
166. S. Mishra, M. Babu Peethala, S. Saha , P. Bhattacharyya(2021), "An Information Multiplexed Encoder-Decoder Network for Image Captioning in Hindi", in IEEE International Conference on Systems, Man and Cybernetics 2021 , 17th October - 21st October, 2021.
165. K. Gill, S. Saha (2021), "Dense Image Captioning in Hindi", in IEEE International Conference on Systems, Man and Cybernetics 2021 , 17th October - 21st October, 2021.
164. A. Singh, T. Sen, S. Saha and M. Hasanuzzaman (2021), "Federated Multi-task Learning for Complaint Identification from Social Media Data", in ACM Conference on Hypertext and Social Media 2021 , 30 August - 2nd September, 2021.
163. S. Pingali, S. Yadav, P. Dutta, and S. Saha (2021), "Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction", in ACL Findings 2021 , August 2-4, 2021 ( Category A*) Codes .
162. A. Singh, S. Saha (2021), "Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification" in ICDAR 2021 , 5-10 September 2021 ( Category A) .
161. A. Jangra, S. Saha , A. Jatowt and M. Hasanuzzaman (2021), "Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization" in SIGIR 2021 , 11-15 July 2021 ( Category A*) .
160. S. C. R. Miriyala, S. Agarwal, S. Saha (2021), "Generating Diverse Extended Summaries of Scientific Articles" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
159. K. Jha, S. Saha , S. Saha(2021), "Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
158. A. Qureshi, G. Dias, S. Saha , M. Hasanuzzaman(2021), "Gender-aware Estimation of Depression Severity Level in a Multimodal Setting" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
157. M. Tiwari, R. K. Sanodiya, J. Mathew and S. Saha (2021), "Multi-source based approach for Visual Domain Adaptation" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
156. C. Suman, R. Chaudhari, S. Saha , S. Kumar, and P. Bhattacharyya(2021), "An Emotion-aided Gender Prediction System" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
155. A. Tiwari, T. Saha, S. Saha , S. Sengupta, A. Maitra, R. Ramnani, and P. Bhattacharyya(2021), "Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
154. T. Saha, N. Priya, S. Saha and P. Bhattacharyya (2021), "A Transformer based Multi-task Model for Domain Classification, Intent Detection, and Slot-Filling" in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
153. T. Saha, S. Chopra, S. Saha , P. Bhattacharyya and Dr. P. Kumar (2021), "A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health", in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
152. C. Kanani, S. Saha and P. Bhattacharyya (2021), "Global Object Proposals for Improving Multi-Sentence Video Descriptions", in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
151. N. Prasad, S. Saha and P. Bhattacharyya (2021), "A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention", in International Joint Conference on Neural Networks (IJCNN) 2021 , 18-22 July 2021 ( Category A) .
150. T. Saha, A. Upadhyaya, S. Saha , P. Bhattacharyya (2021), "Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter", in NAACL-HLT 2021 , June 6-11, 2021 ( Category A) .
149. K. Maity, S. Saha (2021), " BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages", in NLDB 2021 , June 23-25, 2021.
148. C. Suman, R. Kumar, S. Saha , P. Bhattacharyya (2021), " Authorship Attribution using Capsule-based Fusion Approach", in NLDB 2021 , June 23-25, 2021.
147. S. Mishra, N. Saini, S. Saha , P. Bhattacharyya (2021), " Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context", in NLDB 2021 , June 23-25, 2021.
146. A. Jangra, R. Jain, V. Mavi, S. Saha and P. Bhattacharyya (2020), "Semantic Extractor-Paraphraser based Abstractive Summarization", in ICON 2020: 17th International Conference on Natural Language Processing , December 18-21, 2020.
145. C. Suman, J. Kumar, S. Saha and P. Bhattacharyya (2020), "D-Coref: A Fast and Lightweight Coreference Resolution Model using DistilBERT", in ICON 2020: 17th International Conference on Natural Language Processing , December 18-21, 2020.
144. C. Suman, A. Gupta, S. Saha and P. Bhattacharyya (2020), "A Multi-modal Personality Prediction System", in ICON 2020: 17th International Conference on Natural Language Processing, December 18-21, 2020.
143. K. Jha, S. Saha , M. Khushi (2020),"Protein-Protein Interactions Prediction based on Bi-directional Gated Recurrent Unit and Multimodal Representation", in International Conference on Neural Information Processing (ICONIP) 2020 , 18-22 November, 2020 (accepted) ( Category A ).
142. T. Saha, S. Chopra, S. Saha and P. Bhattacharyya (2020), "Reinforcement learning based personalized neural response generation", in International Conference on Neural Information Processing (ICONIP) 2020 , 18-22 November, 2020 (accepted) ( Category A ).
141. D. Paul, S. Saha , J. Mathew (2020), "Online Multi-objective Subspace Clustering for Streaming Data", in International Conference on Neural Information Processing (ICONIP) 2020 , 18-22 November, 2020 (accepted) ( Category A ).
140. N. Saini, S. Mansoori, S. Saha , P. Bhattacharyya (2020), "Multi-tweet Summarization using Fusion of Two Neural Networks", in International Conference on Neural Information Processing (ICONIP) 2020 , 18-22 November, 2020 (accepted) ( Category A ).
139. S. Yadav, J. P. Sain, A. Sheth, A. Ekbal, S. Saha , P. Bhattacharyya (2021), "Assessing the Severity of Health States based on Social Media Posts", in IEEE ICPR 2021 , 10-15 January, 2021, Milan, Italy (accepted) ( h5-index: 38 ).
138. N. Saini, S. Kumar, S. Saha , P. Bhattacharyya (2021). "Exploring Graph-based Feature for Scientific Document Summarization using Evolutionary Framework", in IEEE ICPR 2021 10-15 January, 2021, Milan, Italy (accepted) ( h5-index: 38 ).
137. S. Mitra, and S. Saha (2021), "A Multi-task Multi-view based Multi-objective Clustering Algorithm", in IEEE ICPR 2021 , 10-15 January, 2021, Milan, Italy (accepted) ( h5-index: 38 ).
136. A. Jangra, S. Saha , A. Jatowt and M. Hasanuzzaman (2020), "Multi-Modal Summary Generation using Multi-objective Optimization", In SIGIR 2020 , July 25-30, 2020 (Xi'an, China) (accepted) (Category A*)
135. T. Saha, A. Patra, S. Saha and P. Bhattacharyya (2020), " Towards Emotion-aided Multi-modal Dialogue Act Classification", In ACL 2020, July 5-10, 2020, Seattle, Washington (accepted) (Category A*) .
134. P. Dutta and S. Saha (2020), "Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification", In ACL 2020, July 5-10, 2020, Seattle, Washington (accepted) (Category A*) .
133. T. Saha, A. P. Patra, S. Saha , and P. Bhattacharyya (2020), "A Transformer based Approach for Identification of Tweet Acts", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (Category A) .
132. T. Saha, S. Saha and P. Bhattacharyya (2020), " Transfer Learning-based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (Category A) .
131. C. S. Kanani, S. Saha and P. Bhattacharyya (2020), "Improving Diversity and Reducing Redundancy in Paragraph Captions", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (Category A) .
130. S. Sridhar, S. Saha, A. Shaikh, R. Yedida and S. Saha (2020), "Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets", IJCNN 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (Category A) .
129. N. Saini, S. Kumar, S. Saha and P. Bhattacharyya (2020), "Mining Graph-based Features in Multi-objective Framework for Microblog Summarization", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (h5 index: 66) .
128. S. J. Giri and S. Saha (2020), "Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (h5 index: 66) .
127. R. Salgotra, U. Singh, S. Saha and A. H. Gandomi (2020), "Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems", IEEE-CEC 2020, 19 --24th July, 2020, Glasgow (UK) (accepted) (h5 index: 66) .
126. A. Jangra, A. Jatowt, M. Hasanuzzaman and S. Saha (2019): "Text-Image-Video Summary Generation using Joint Integer Linear Programming", In the proceedings of ECIR 2020 , 2020 (Core ranking:A) .
125. N. Saini, S. Saha , A. Kumar, P. Bhattacharyya (2019): Multi-document summarization using adaptive composite differential evolution, In the proceedings of ICONIP 2019 , Sydney, Australia, December 12--December 15, 2019 (Core ranking:A) .
124. N. Saini, R. Grover, S. Saha , P. Bhattacharyy (2019): Scientific document clustering using granular self-organizing map, In the proceedings of ICONIP 2019 , Sydney, Australia from December 12--December 15, 2019 (Core ranking: A) .
123. D. Paul, A. Kumar, S. Saha , J. Mathew (2019), Evolutionary based subspace clustering in multi-objective optimization framework, In the proceedings of ICONIP 2019 , Sydney, Australia from December 12-December 15, 2019 (Core ranking: A) .
122. D. Paul, R. Kumar, S. Saha , J. Mathew (2019): Online Feature Selection for Multi-label Classification in Multiobjective Optimization Framework, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019) , Vancouver, Canada from August 27- August 30, 2019 ( poster paper accepted) .
121. S. Yadav, A. Ekbal, S. Saha , P. Bhattacharyya (2019): A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining, Association for Computational Linguistics (ACL 2019) , Florence (Italy) at the 'Fortezza da Basso' from July 28th to August 2nd, 2019 (full paper accepted) (Core ranking: A*).
120. T. Ghosal, D. Dey, A. Dutta, A. Ekbal, S. Saha and P. Bhattacharyya (2019): A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019 , Urbana-Champaign, Illinois, June 2-6, 2019 (Poster paper accepted). (Core ranking: A*).
119. T. Ghosal, A. Chakraborty, R. Sonam, A. Ekbal, S. Saha and P. Bhattacharyya (2019): Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation , ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019 , Urbana-Champaign, Illinois, June 2-6, 2019 (Poster paper accepted). (Core ranking: A*).
118. T. Ghosal, A. Ekbal, S. Saha , P. Bhattacharyya and R. Sonam (2019): Is the Paper Within Scope? Are You Fishing in the Right Pond?, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019 , Urbana-Champaign, Illinois, June 2-6, 2019 (Short paper accepted). (Core ranking: A*).
117. T. Ghosal, A. Raj, A. Ekbal, S. Saha and P. Bhattacharyya (2019): A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2019 , Urbana-Champaign, Illinois, June 2-6, 2019 (accepted). (Core ranking: A*).
116. T. Saha, S. Srivastava, M. Firdaus, S. Saha , A. Ekbal and P. Bhattacharyya (2019): Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification, IEEE International Joint Conference on Neural Networks (IJCNN) 2019 , Budapest, Hungary, July 14-19, 2019 (accepted). (Core ranking: A).
115. T. Saha, S. Saha and P. Bhattacharyya (2019): Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter, IEEE International Joint Conference on Neural Networks (IJCNN) 2019 , Budapest, Hungary, July 14-19, 2019 (accepted). (Core ranking: A).
114. R. Salgotra, U. Singh, S. Saha and A. Nagar (2019): New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters, In the proceedings of IEEE CEC 2019 , New Zealand, June 10-13, 2019 (accepted). (h5 index: 66).
113. K. Maity, R. Sengupta and S. Saha (2019): MM-NAEMO : Multimodal Neighborhood-sensitive Archived Evolutionary Many-objective Optimization Algorithm, In the proceedings of IEEE CEC 2019 , New Zealand, June 10-13, 2019 (accepted). (h5 index: 66).
112. S. Saha , D. Sarkar and S. Kramer (2019): Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles, In the proceedings of IEEE CEC 2019 , New Zealand, June 10-13, 2019 (accepted). (h5 index: 66).
111. P. Dutta and S. Saha (2019): A Weak Supervision Technique with a Generative Model for Improved Gene Clustering In the proceedings of IEEE CEC 2019 , New Zealand, June 10-13, 2019 (accepted). (h5 index: 66) .
110. P. Dutta, S. Saha , A. B. Chauhan (2018): Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018) , Siem Reap, Cambodia on December 13-16, 2018 (accepted). (Core ranking: A).
109. R. K. Sanodiya, S. Saha , J. Mathew (2018): A Multi-Kernel Semi-Supervised Metric Learning using Multi-objective Optimization Approach, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018) , Siem Reap, Cambodia on December 13-16, 2018 (accepted). (Core ranking: A).
108. T. Saha, D. Gupta, S. Saha , P. Bhattacharyya (2018): Reinforcement Learning based Dialogue Management Strategy, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018) , Siem Reap, Cambodia on December 13-16, 2018 (accepted). (Core ranking: A).
107. T. Saha, S. Saha , P. Bhattacharyya (2018): Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot-Filling, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP2018) , Siem Reap, Cambodia on December 13-16, 2018 (accepted). (Core ranking: A).
106. R. K. Sanodiya, S. Saha , J. Mathew and P. Bangwal (2018): Semi-Supervised Transfer Metric Learning with Relative Constraints, In the proceedings of 25th International Conference on Neural Information Processing (ICONIP 2018) , Siem Reap, Cambodia during December 13--16, 2018 (accepted). (Core Ranking: A).
105. S. Mitra, M. Hasanuzzaman, S. Saha (2018): Incorporating Deep Visual Features into Multiobjective based Multi-view Search Result Clustering, In the proceedings of 27th International Conference on Computational Linguistics (COLING 2018) Santa Fe, New-Mexico, USA from August 20th--26th 2018 (accepted). (Core Ranking: A).
104. T. Ghosal, R. Sonam, S. Saha , A. Ekbal and P. Bhattacharyya (2018) : Investigating Domain Features For Scope Detection and Classification of Scientific Articles, In the proceedings of 7th International Workshop on Mining Scientific Publications held in conjunction with LREC 2018 , Japan (accepted).
103. D. Paul, S. Saha and J. Mathew (2018): Multiobjective Optimization based Subspace Clustering using Evolvable Genome structure, In the proceedings of GECCO 2018, Japan (accepted as poster paper). (Core ranking: A)
102. T. Ghosal, R. Verma, A. Ekbal, S. Saha and P. Bhattacharyya (2018): Investigating Impact Features in Editorial Pre-Screening of Research Papers, In the proceedings of JCDL 2018, Texas (accepted as poster paper). (Core ranking: A*)
101. R. Salgotra, U. Singh and S. Saha (2018): Improved Cuckoo Search With Better Search Capabilities For Solving CEC2017 Benchmark Problems, In the proceedings of IEEE CEC 2018, Brazil (accepted). (Core ranking: B)
100. S. Mishra, S. Saha , S. Mondal (2018): MBOS: Modified Best Order Sort Algorithm for Performing Non-dominated Sorting, In the proceedings of IEEE CEC 2018, Brazil (accepted). (Core ranking: B)
99. N. Saini, S. Saha and P. Bhattacharyya (2018):Cascaded SOM: An Improved Technique for Automatic Email Classification, In the proceedings of IJCNN 2018, Brazil (accepted) . (Core Ranking: A).
98. S. Yadav, A. Ekbal, S. Saha and P. Bhattacharyya (2018): Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment, In the proceedings of 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018) New Orleans, June 1 to June 6, 2018 at the Hyatt Regency New Orleans hotel. (Core Ranking: A) (h5-index: 47) (accepted) .
97. S. Yadav, A. Ekbal, S. Saha and P. Bhattacharyya (2018): Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System, In the proceedings of 11th International Conference on Language Resources and Evaluation (LREC 2018) Miyazaki (Japan), 7--12 May 2018. (Core Ranking: C) (h5-index: 43) (accepted)
96. N. Saini, S. Chourasia, S. Saha and P. Bhattacharyya (2017): A Self Organizing Map based Multi-objective Framework for Automatic Evolution of Clusters, In the proceedings of 24th International Conference on Neural Information Processing Guangzhou, China from November 14--18, 2017. (Core Ranking: A) (h5-index: 17)
95. M. Hasanuzzaman, S. Kamila, M. Kaur, S. Saha and A. Ekbal (2017): Temporal Orientation of Tweets for Predicting Income of User, In the Proceedigs of 55th annual meeting of the Association for Computational Linguistics (ACL) , Vancouver, Canada during July 30--August 4, 2017 (accepted in short paper category) . (Core Ranking: A*) (h5-index: 51)
94. S. Mishra, S. Saha , S. Mondal (2017): Unsupervised Method to Ensemble Results of Multiple Clustering Solutions for Bibliographic Data, In Proceedings of 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017) , held during June 5-8, 2017 at Spain . (Core Ranking: A) (h5-index: 51) .
93. S. Yadav, A. Ekbal, S. Saha , P. Bhattacharyya (2017): Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection, In Proceedings of EACL 2017, April 3-7, 2017 at Valencia, Spain . (Core Ranking: A) (h5-index: 26) .
92. S. Yadav, A. Ekbal, S. Saha , P. Bhattacharyya (2016): A Deep Learning Architecture for Protein-Protein Interaction Article Identification. In Proceedings of 23rd International Conference on Pattern Recognition (ICPR) , Cancun, Mexico, December 2016 . (Core Ranking: B) (h5-index: 26) .
91. P. Sahoo, S. Acharya, S. Saha (2016): Automatic Generation of Biclusters from Gene Expression Data Using Multi-objective Simulated Annealing Approach. In Proceedings of 23rd International Conference on Pattern Recognition (ICPR) , held at Cancun, Mexico, December 4-8, 2016 . (Core Ranking: B) (h5-index: 26) .
90. P. Sahoo, A. Ekbal, S. Saha , D. Molla and K. Nandan (2016): Semi-supervised Clustering of Medical Text. In the Proceedings of Clinical Natural Language Processing Workshop at COLING 2016 held at Osaka, Japan, December 2016, Pages 23--31 Received the best paper award in long paper category .
89. S. Yadav, A. Ekbal, S. Saha and P. Bhattacharyya (2016): Deep Learning Architecture for Patient Data De-identification in Clinical Records. In the Proceedings of Clinical Natural Language Processing Workshop at COLING 2016 held at Osaka, Japan, December 2016.
88. S. Yadav, A. Kumar, A. Ekbal, S. Saha and P. Bhattacharyya (2016): A Recurrent Neural Network Architecture for De-identifying Clinical Records. In the Proceedings of Thirteenth International Conference on Natural Language Processing (ICON-2016) , held at IIT BHU, Varanasi during December 17-20, 2016.
87. S. Kumar, A. Sinha Ray, A. Ekbal, S. Saha and P. Bhattacharyya (2016): Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval. In the Proceedings of Thirteenth International Conference on Natural Language Processing (ICON-2016) held at IIT (BHU), Varanasi during December 17-20, 2016
86. S. Acharya, A. Ekbal, S. Saha , P. Santhanam, J. Moreno, and G. Dias (2016): Multi-Objective Word Sense Induction based on Content and Interlink Connections. In Proceedings of NLDB 2016 - 21st International Conference on Applications of Natural Language to Information Systems , 22-24 June 2016, University of Salford, MediaCity UK Campus, LNCS publication, Pages 366--375 . (Core Ranking: C) (h5-index: 13) .
85. S. Mishra, S. Saha and S. Mondal (2016): An Automatic Framework for Entity Matching in Bibliographic Databases. In Proceedings of IEEE CEC 2016 , Vancouver, Canada, July 24-29, 2016. (Core ranking: B, h5-index: 60) .
84. S. Mishra, S. Saha and S. Mondal (2016): Divide and Conquer Based Non-dominated Sorting for Parallel Environment. In Proceedings of IEEE CEC 2016 , Vancouver, Canada, July 24-29, 2016 . (Core ranking:B, h5-index: 60) .
83. S. Mishra, S. Mondal, S. Saha (2016): Fast Implementation of Steady State NSGA-II. In Proceedings of IEEE CEC 2016 , Vancouver, Canada, July 24-29, 2016. (Core ranking: B, h5-index: 60) .
82. R. Das and S. Saha (2016): Gene Expression Data Classification using Automatic Differential Evolution Based Algorithm. In Proceedings of IEEE CEC 2016 , Vancouver, Canada, July 24-29, 2016. (Core ranking: B, h5-index: 60) .
81. M. Pal, S. Saha and S. Bandyopadhyay (2016): Clustering based Online Automatic Objective Reduction to aid Many-Objective Optimization. In Proceedings of IEEE CEC 2016 , Vancouver, Canada, July 24-29, 2016. (Core ranking: B, h5-index: 60) .
80. R. Das, S. Saha (2015): Microarray Gene Expression Data classification Using Modified Differential Evolution Based Algorithm. In Proceedings of IEEE INDICON-2015 , Jamia Millia Islamia, New Delhi, India from 17-20 December 2015 (Best Paper Award) .
79. R. Das, S. Saha (2015): Gene expression classification using a fuzzy point symmetry based PSO clustering technique. 2015 2nd Intl. Conference on Soft Computing and Machine Intelligence , Hong Kong, November 23-24, 2015.
78. M. Hasanuzzaman, S. Saha , G. Dias, S. Ferrari (2015): Understanding Temporal Query Intent, The 38th Annual ACM SIGIR Conference , Santiago, Chile, August 9-13, 2015 . (Core ranking : A*)
77. U. K. Sikdar, A. Ekbal and S. Saha (2015):Feature Selection in Anaphora Resolution for Bengali: A Multiobjective Approach, 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015) , April 14-20, 2015, Cairo, Egypt, (Computational Linguistics and Intelligent Text Processing Lecture Notes in Computer Science Volume 9041), pp 252-263 . (Core ranking B) .
76. A. Kumar Laha, T. Sen and S. Saha (2015): Portfolio Optimization Using Krylov Subspace method MINRES-QLP, 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence , held at IIM Ahmedabad on April 11-12, 2015.
75. A. Alok, S. Saha , A. Ekbal (2015): MR Brain Image Segmentation Using Muti-objective Semi-supervised Clustering, IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems 2015, (IEEE SPICES 2015) , held during 19-21 February 2015 at National Institute of Technology (NIT) Calicut, Kozhikode, Kerala, India.
74. A. Alok, S. Saha , A. Ekbal, N. Kanekar (2015): Simultaneous Feature Selection and Semi-supervised Clustering for Gene-Expression Data, IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems 2015, (IEEE SPICES 2015) , held during 19-21 February 2015 at National Institute of Technology (NIT) Calicut, Kozhikode, Kerala, India.
73. S. Mishra, S. Mondal and S. Saha (2015): Development and Analysis of Entity Matching Techniques for Bibliographic Database. Research Colloquium in XRCI Open 2015 .
72. T. Sen, S. Saha , A. Ekbal and A. Laha (2014): Bi-objective Portfolio Optimization Using Archive Multi-objective Simulated Annealing. 2014 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND APPLICATIONS (ICHPCA) , Bhubaneswar, India, December 22-24, 2014. 71. V. Singh, S. Saha (2014): Modified differential evolution based 0/1 clustering for classification of data points (2014). 1st International Conference on Contemporary Computing and Informatics (IC3I) , Mysore, India, from 27 to 29 November 2014.
70. A. Alok, S. Saha , A. Ekbal, N. Kanekar (2014): Simultaneous Feature Selection and Unsupervised Clustering for Gene-Expression Data in Multiobjective Optimization Framework. IEEE International Conference ICIIS-2014 , from Dec 15--17, 2014 at ABVIIITM, Gwalior India.
69. A. Alok, S. Saha and A. Ekbal (2014): Pixel Classification of Remote Sensing Satellite Image using Semi-supervised Clustering. IEEE International Conference ICIIS-2014 , Dec 15-17, 2014 at ABVIIITM, Gwalior India
68. S. Acharya, S. Saha , S. Bandyopadhyay (2014): Development of Some Line Symmetry Based Automatic Clustering Techniques. 2014 International Conference on Information Technology (ICIT 2014) , Bhubaneswar, India, December, 2014.
67. S. Acharya, S. Saha (2014): Identifying Co-expressed miRNAs using Multi-objective Optimization. 2014 International Conference on Information Technology (ICIT 2014) , Bhubaneswar, India, December, 2014.
66. A. Alghamdi, F. Bonin, A. Ekbal, S. Saha , F. Cavulli, S. Tonelli, and M. Poesio (2014): Active Expert Learning for the Digital Humanities. Workshop on semantic technologies for research in the humanities and social sciences (STRiX) , Gothenburg, Sweden, on November 24-25, 2014.
65. A. Alok, S. Saha , A. Ekbal, R. Spandana (2014): Feature Selection and Semi-supervised Clustering UsingMultiobjective Optimization. 2014 Intl. Conference on Soft Computing Machine Intelligence (ISCMI2014) , New Delhi, India, September 26-27, 2014.
64. S. Acharya, S. Saha , S. Bandyopadhyay (2014): Development of Some Line Symmetry Based Cluster Validity Indices. 2014 Intl. Conference on Soft Computing Machine Intelligence (ISCMI2014) , New Delhi, India, September 26-27, 2014.
63. S. Acharya, Y. Thadisina and S. Saha (2014): Multi-objective clustering of tissue samples for cancer diagnosis. International Conference on Advances in Computing, Communications and Informatics (ICACCI- 2014) , New Delhi, India.
62. U. Sikdar, A. Ekbal and S. Saha (2014): Differential Evolution based Mul- tiobjective Optimization for Biomedical Entity Extraction. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014) , New Delhi, India.
61. A. Alok, S. Saha and A. Ekbal (2014): Gene-Expression Data Semi-Supervised Clustering in Multi-Objective Optimization Framework. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014) , New Delhi, India.
60. S. Acharya, S. Saha , J. G. Moreno and G. Dias (2014): Multi-Objective Search Results Clustering. COLING 2014, the 25th International Conference on Computational Linguistics , Dublin, 23-29 August 2014 . (Core ranking: A) .
59. S. Mishra, S. Saha , S. Mondal (2014): On Validation of Clustering Tech- niques for Bibliographic Databases. 22nd International Conference on Pattern Recognition (ICPR 2014) , Stockholm, August 2014. (Core ranking: B) .
58. U. Kumar Sikdar, A. Ekbal and S. Saha (2014): IITP: A Supervised Approach for DisorderMention Detection and Disambiguation. SemEval-2014 : Semantic Evaluation Exercises International Workshop on Semantic Evaluation (SemEval-2014) , Dublin, Ireland.
57. Md. Hasanuzzaman, S. Saha and A. Ekbal (2010): Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition. In the Proceedings of Pacific Asia Conference on Language, Information and Computation , Japan, November 4-7, 2010.
56. A. Ekbal, S. Saha , U. K. Sikdar and Md. Hasanuzzaman (2010): A Genetic Approach for Biomedical Named Entity Recognition. In the Proceedings of 22th International Conference on Tools with Artificial Intelligence, France , October 27-29, 2010.
55. S. Saha, A. Ekbal, S. Saha (2011): A Supervised Approach for Gene Mention Detection. SEMCCO (1) 2011: 425-432, LNCS.
54. S. Saha , A. Ekbal, O. Uryupina, M. Poesio (2011): Single and multi-objective optimization for feature selection in anaphora resolution. 5th International Joint Conference on Natural Language Processing (IJCNLP 2011) , Thailand, November 8-13, PP. 93-101 . (Core ranking: B) .
53. S. Saha , Md. Hasanuzzaman, A. Majumder, A. Ekbal (2011): Bio-molecular Event Extraction using Support Vector Machine. The 3rd International Conference on Advanced Computing (ICoAC 2011) , December 14-16, 2011.
52. A. Ekbal, A. Majumder, Md. Hasanuzzaman, S. Saha (2011). Supervised Machine Learning Approach for Bio-molecular Event Extraction. SEMCCO (2) 2011: 231-238, LNCS.
50. M. Poesio, E. Barbu, F. Bonin, F. Cavulli, E. W. Stemle, A. Ekbal, S. Saha , C. Girardi, F. Nardelli (2011): THE HUMANITIES RESEARCH PORTAL: Human Language Technology Meets Humanities Publication Repositories. SDH 2011 , Denmark, November 17-18. (Core ranking: C) .
49. O. Uryupina, S. Saha , A. Ekbal and M. Poesio (2011): Multi-metric optimization for coreference. The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task. CoNLL 2003 , Portland, Oregon, USA, June 23-24, 2011.
48. S. Saha , A. S. Sairam, A. Yadav, and A. Ekbal ( 2012): Genetic algorithm combined with support vector machine for building an intrusion detection system. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI -12) . ACM, New York, NY, USA, 566-572.
47. A. Ekbal, S. Saha , and D. Singh ( 2012): Active machine learning technique for named entity recognition. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI -12) . ACM, New York, NY, USA, 180-186.
46. S. Saha , A. Ekbal, M. Verma, U. Sikdar, and M. Poesio (2012): Active learning technique for biomedical named entity extraction. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI-12) . ACM, New York, NY, USA, 835-841.
45. A. Ekbal, S. Saha , S. Girdhar (2013): Evolutionary Approach for Classifier Ensemble: An Application to Bio-molecular Event Extraction. In Advances in Intelligent Systems and Computing , Volume 182, 2013, pp 9-15.
44. S. Saha , A. Ekbal, S. Sharma, S. Bandyopadhyay, U. Maulik (2013): Protein Secondary Structure Prediction using Machine Learning. Advances in Intelligent Systems and Computing , Volume 182, 2013, pp 57-63.
43. A. Ekbal, S. Saha and K. Ravi (2012): Mention Detection and Classification in Bio-chemical Domain using Conditional Random Field. 2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012) , November 30-December 01, 2012, Kolkata.
42. A. Ekbal, S. Saha and D. Singh (2012): Ensemble based Active Annotation for Named Entity Recognition. 2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012) , November 30-December 01, 2012, Kolkata.
41. S. Saha , A. S. Sairam, A. Ekbal, and S. Zakir Hussain (2012): Dynamic Load Balancing of Network Traffic Using Multiobjective Optimization. 2012 Third International Conference on Emerging Applications of Information Technology (EAIT 2012) , November 30-December 01, 2012, Kolkata.
40. A. Ekbal, S. Saha and U. K. Sikdar (2012): Multiobjective Optimization for Biomedical Named Entity Recognition and Classification. 2nd International Conference on Communication, Computing and Security (ICCCS 2012) , October 6-7, 2012, Rourkela.
39. A. Majumder, Md. Hasanuzzaman, A. Ekbal and S. Saha (2012): Machine Learning Approach for Argument Extraction of Biomolecular Events. 2012 National Conference on Computing and Communication Systems (NCCCS) .
38. U. K. Sikdar, A. Ekbal and S. Saha (2012): Differential Evolutionary Approach for Feature Selection and Classifier Ensemble in Named Entity Recognition. 24th International Conference on Computational Linguistics (COLING 2012 ) , 8-15 December, 2012, IIT Mumbai, pp. 2475-2490 (Core ranking: A) .
37. A. Ekbal, S. Saha , G. Choudhary (2012): Plagiarism Detection in Text using Vector Space Model. 12th International Conference on Hybrid Intelligent Systems (HIS 2012) , Pune, India, December 04-07, 2012.
36. S. Saha , A. K. Alok, A. Ekbal (2012): Semi-Supervised Clustering Using Multiobjective Optimization. 12th International Conference on Hybrid Intelligent Systems (HIS 2012) , Pune, India, December 04-07, 2012.
35. A. K. Alok, S. Saha , A. Ekbal (2012): A min-max Distance Based External Cluster Validity Index: MMI. 12th International Conference on Hybrid Intelligent Systems (HIS 2012) , Pune, India, December 04-07, 2012.
34. M. Verma, U. K. Sikdar, S. Saha and A. Ekbal (2013): Ensemble Based Active Annotation for Biomedical Named Entity Recognition. 2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013) , Mysore, India, August 22-25, 2013.
33. A. Ekbal and S. Saha (2013): Two Stage Genetic Approach for Bio-chemical Named Entity Recognition. 2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013) , Mysore, India, August 22-25, 2013.
32. U. K. Sikdar, A. Ekbal, S. Saha , O. Uryupina, and M. Poesio (2013): Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language. 6th International Joint Conference on Natural Language Processing, organized by the Asian Federation of Natural Language Processing, held in Nagoya, Japan during the period October 14-18, 2013.
31. S. Saha , A. Ekbal, S. Syed, U. K. Sikdar (2013): Memory Based Learner Coupled with Differential Evolution for Named Entity Recognition for Bengali Language. Information Society 2013 multiconference, conference Intelligent Systems 2013 , 7 - 11 October 2013, Joef Stefan Institute, Jamova cesta 39, Ljubljana, Slovenia.
30. A. Majumder, A. Ekbal, S. Saha and M. Hasanuzzaman (2013): Genetic Algorithm Based Feature Selection for Bio-Molecular Event Extraction. Information Society 2013 multiconference, conference Intelligent Systems , 7 - 11 October 2013, Joef Stefan Institute, Jamova cesta 39, Ljubljana, Slovenia.
29. S. Saha , A. Ekbal, N. Vinayak (2013): Use of point symmetry based distance for gene expression data clustering. Conference on Data Mining and Data Warehouses (SiKDD 2013) , October 2013, Ljubljana, Slovenia (To be held at the 16th International Multiconference on Information Society IS-2013)
28. S. Mishra, S. Mondal, S. Saha (2013): Entity Matching Technique for Bibliographic Database. Database and Expert Systems Applications Lecture Notes in Computer Science , Volume 8056, 2013, pp 34-41.
27. S. Mishra, S. Saha and S. Mondal (2014): Cluster Validation Techniques for Bibliographic Databases. IEEE Students’ Technology Symposium, IIT Kharagpur , India, 28th February--2nd March, 2014
26. A. Ekbal, S. Saha , D. Molla and K Ravikumar (2013): Multi-Objective Optimization for Clustering of Medical Publications. The Eleventh Annual Workshop of the Australasia Language Technology Association , 4--6 December 2013, Brisbane, Queensland, Australia
25. A. Ekbal and S. Saha (2010): Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali, In the Proceedings of 7th international conference on Language Resources and Evaluation (LREC) , Malta, May 19--21, 2010 . (core ranking: C)
24. A. Ekbal and S. Saha (2010): Weighted Vote Based Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition, In the Proceedings of 15th International Conference on Applications of Natural Language to Information Systems , June 23-25, 2010, Cardiff University, Cardiff, Wales, UK, pp. 256-267. (core ranking: C)
23. A. Ekbal, S. Saha and C. S. Garbe (2010): Feature Selection Using Multiobjective Optimization for Named Entity Recognition, In the Proceedings of ICPR 2010 , Turkey . (core ranking: B)
22. A. Ekbal and S. Saha (2010): Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition, In the Proceedings of 19th European Conference on Artificial Intelligence - ECAI 2010 , Portugal, pp. 783--788 . (core ranking: A)
21. S. Saha and S. Bandyopadhyay (2009): A Validity Index Based on Connectivity, In the Proceedings of ICAPR 2009 , Kolkata, pp. 51-54.
20. S. Saha , S. Bandyopadhyay and C. T. Singh (2008): A New Line Symmetry Distance Based Pattern Classifier, International Joint Conference on Neural Networks (IJCNN2008) as part of 2008 IEEE World Congress on Computational Intelligence (WCCI2008) , Hongkong, 2008, pp. 1426-1433 . (core ranking A)
19. S. Saha and S. Bandyopadhyay (2008): A New Multiobjective Simulated Annealing Based Clustering Technique Using Stability and Symmetry. In the Proceedings of ICPR 2008 , Florida . (core ranking: B)
18. S. Saha and S. Bandyopadhyay (2008): New Multiobjective Simulated Annealing based Fuzzy Clustering Technique for Pixel Classification in Remote Sensing Imagery. In the Proceedings of ICPR 2008 , Florida . (core ranking B)
17. S. Bandyopadhyay and S. Saha (2008): A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering. In the Proceedings of ICONIP 2008 , New Zealand, pp. 179-180. (core ranking A)
16. S. Saha and S. Bandyopadhyay (2008): Unsupervised Pixel Classification in Satellite Imagery Using a New Multiobjective Symmetry Based Clustering Approach. In the Proceedings of IEEE TENCON 2008 , Hyderabad . (core ranking C)
15. S. Saha and S. Bandyopadhyay (2008): Application of a New Line Symmetry Distance Based Genetic Clustering Technique for Automatic MR Brain Image Segmentation. In the Proceedings of IEEE TENCON 2008 , Hyderabad . (core ranking C)
14. S. Saha and S. Bandyopadhyay (2007): A New Symmetry Based Genetic Clustering Technique for Automatic Evolution of Clusters. Proceedings of International Conference on Advances in Pattern Recognition-2007 (ICAPR) , Kolkata, pp. 81-87, 2007
13. S. Saha and S. Bandyopadhyay (2007): A Fuzzy Genetic Clustering Technique Using A New Symmetry Based Distance for Automatic Evolution of Clusters. Proceedings of the International Conference on Computing: Theory and Applications ICCTA , Kolkata, pp. 309-313, 2007
12. S. Saha and S. Bandyopadhyay (2007): On Some Symmetry Based Validity Indices. IEEE International Congress on Evolutionary Computation , Singapore, pp. 697-704, 2007. (core rank: B)
11. S. Saha and S. Bandyopadhyay (2007): MRI Brain Image Segmentation by Fuzzy Symmetry Based Genetic Clustering Technique. IEEE International Congress on Evolutionary Computation , Singapore, pp. 4417-4424, 2007. (core ranking B)
10. S. Saha and S. Bandyopadhyay (2007): A Validity Index Based on Cluster Symmetry. IEEE International Conference SMC 2007 , Montreal, pp. 462-467, 2007. (core ranking B)
9. S. Saha and S. Bandyopadhyay (2007): A Symmetry Based Face Detection Technique: IEEE WIE National Symposium on Emerging Technologies(WieNSET 2007) , (CD proceedings), Kolkata, 29-30 June, 2007. (available online:http://ewh.ieee.org/r10/calcutta/WIE/WieNSET07/papers/A1-2.pdf)
8. S. Saha and S. Bandyopadhyay (2007): Performance Assessment of Some Clustering Algorithms Based on A Fuzzy Granulation-degranulation Criterion: International Conference on Information Technology, ICIT 2007 , pp. 62-67, Rourkela, DOI 10.1109/ICIT.2007.35 (IEEE CS Press)
7. S. Saha and S. Bandyopadhyay (2007): A Genetic Clustering Technique Using a New Line Symmetry Based Distance Measure. 15th International Conference on Advanced Computing and Communication (ADCOM 2007) , Guwahati, 2007, pp. 365-370 (IEEE CS Press)
6. S. Saha and S. Bandyopadhyay (2007): A New Cluster Validity Index Based on Fuzzy Granulation degranulation Criterion. 15th International Conference on Advanced Computing and Communication (ADCOM 2007) , Guwahati, 2007, pp. 353-358 (IEEE CS Press)
5. S. Saha and S. Bandyopadhyay (2006): Application of Multiobective Optimization for Data Clustering. International Conference on Emerging Applications of IT , February 10-11, Kolkata, India, pp. 275-278, 2006
4. S. Saha , S. Bandyopadhyay and U. Maulik (2006): A New Symmetry-Based Genetic Clustering Algorithm. Proceedings of the Third International Conference on Artificial Intelligence In Engineering and Technology (ICAIET) , Malaysia, pp. 417-422, 2006
3. S. Saha , S. Bandyopadhyay and U. Maulik (2006): A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation. Proceedings of the IEEE 9th International Conference on Information Technology (ICIT) , Bhubaneswar, pp. 121-124, 2006
2. S. Saha , S. Sur-Koley, S. Bandyopadhyay and P. Dasgupta (2006): Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI. Proceedings of the IEEE 9th International Conference on Information Technology (ICIT) , Bhubaneswar, pp. 281-284, 2006
1. S. Bandyopadhyay and S. Saha (2005): Simultaneous Optimization of Multiple Objectives: New Methods and Applications. Proceedings of the Eighth International Conference on Human and Computers , University of Aizu, Japan, pp. 159-165, 2005