Sriparna Saha/Journals

Journals

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)