Journals
-
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)
.
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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].
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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)
.
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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)