Indian Statistical Institute

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Journals (published/accepted)
  1. Sayan Saha and Sanghamitra Bandyopadhyay, "GroupEx: Towards Group-Level Explanations of Graph Neural Networks", IEEE Transactions on Systems, Man and Cybernetics - Systems, 2026 (accepted)
  2. Aishik Chanda, Ashmita Dey, Mrittika Chakraborty, Utsav Bandyopadhyay Maulik, and Sanghamitra bandyopadhyay, "Drug Effect Classification using Frequency-based Graph Traversal Approach", IEEE Transactions on Computational Biology and Bioinformatics, 2025 (accepted).
  3. Sayan Saha, Monidipa Das, and Sanghamitra Bandyopadhyay, "Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs" IEEE Transactions on Neural Networks and Learning Systems, 36, 11, 19775-19789, 2025/11.
  4. Rangan Das, Swadesh Jana, Anannyo Dey, Pascal Le Corre, M. Cuggia, Ujjwal Maulik, and Sanghamitra Bandyopadhyay, “DrugMAP: Deep Multimodal Transformers for Drug-Target Mechanism of Action Prediction”,IEEE Transactions on Artificial Intelligence, 6, 11, 3087-3099, 2025/11.
  5. Arpita Sarkar, Malay Bhattacharyya, Utpal Garain, Sankar Kumar Pal, Sanghamitra Bandyopadhyay, and Nikhil Ranjal Pal, “Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers”,IEEE Transactions on Emerging Topics in Computational Intelligence, 9, 2, 2001-2013, 2025.
  6. Arpita Sarkar, Malay Bhattacharyya, Girish Mishra, Utpal Garain, Sankar Kumar Pal, and Sanghamitra Bandyopadhyay, and Nikhil Ranjan Pal, “SPECK 32/64: In Search of Better Rotation Constants for Neural Differential Distinguishers”, Cryptologia, 49, 6, 573-596, 2025.
  7. Sumanta Ray, Snehalika Lall and Sanghamitra Bandyopadhyay, “Enhancing Single-Cell RNA-seq Data Completeness with a Graph Learning Framework”, IEEE Transactions on Computational Biology and Bioinformatics, vol. 22, no. 1, pp. 64-72, 2025.
  8. Ashmita Dey, Mrittika Chakraborty, Ujjwal Maulik, and Sanghamitra Bandyopadhyay, “Network Based Approach for Drug Target Identification in Early Onset Parkinson’s Disease”, Scientific Reports, 15, 10563, 2025.
  9. Sayan Saha and Sanghamitra Bandyopadhyay, “Graphon-Explainer: Generating Model-Level Explanations for Graph Neural Networks using Graphons”, Transactions on Machine Learning Research, 2024.
  10. Koushik Mallick, Sikim Chakraborty, Saurav Mallik and Sanghamitra Bandyopadhyay, “A Scalable Unsupervised Learning of scRNAseq Data Detects Rare Cells through Integration of Structure-preserving Embedding, Clustering and Outlier Detection”, Briefings in Bioinformatics, vol. 24, 2023.
  11. Sucheta Dawn, Monidipa Das, and Sanghamitra Bandyopadhyay, “SoURA: A User-Reliability-Aware Social Recommendation System based on Graph Neural Network”, Neural Computing and Applications, vol. 35, pp. 18533-18551, 2023.
  12. Sucheta Dawn, Sanghamitra Bandyopadhyay, "IV-GNN: interval valued data handling using graph neural network", Applied Intelligence, 53, 5, 5697-5713, 2023/3
  13. Mrittika Chakraborty, W. Pal, Sanghamitra Bandyopadhyay and Ujjwal Maulik, “A Survey on Multi-Objective Based Parameter Optimization for Deep Learning”, Computer Science, vol. 24, no. 3, 2023.
  14. Sumanta Ray, Snehalika Lall, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Alexander Schönhuth, "Deep variational graph autoencoders for novel host-directed therapy options against COVID-19", Artificial Intelligence in Medicine, 134, 102418, 12/1/2022
  15. Anamika Basu, Anasua Sarkar, Sanghamitra Bandyopadhyay, Ujjwal Maulik, "In silico strategies to identify protein-protein interaction modulator in cell-to-cell transmission of SARS CoV2", Transboundary and Emerging Diseases, 11/15/2022
  16. Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay, "GraMMy: Graph representation learning based on micro-macro analysis", Neurocomputing, 506, 84-95, 9/28/2022
  17. Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay, "A deep integrated framework for predicting SARS-CoV2-human protein-protein interaction", IEEE Transactions on Emerging Topics in Computational Intelligence, 6, 6, 1463-1472, 6/24/2022
  18. Snehalika Lall, Sumanta Ray, Sanghamitra Bandyopadhyay, "LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data", Communications Biology, 5, 1, 577, 6/10/2022
  19. Snehalika Lall, Sumanta Ray, Sanghamitra Bandyopadhyay, "A copula based topology preserving graph convolution network for clustering of single-cell RNA-seq data", PLOS Computational Biology, 18, 3, e1009600, 3/10/2022
  20. Sourav Biswas, Malay Bhattacharyya, Sanghamitra Bandyopadhyay, "Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research", Transactions of the Indian National Academy of Engineering, 7, 1, 365-374, 2022/3
  21. Snehalika Lall, Abhik Ghosh, Sumanta Ray, Sanghamitra Bandyopadhyay, "sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data", Briefings in Bioinformatics, 23, 2, bbab517, 2022/3
  22. Monidipa Das, Soumya K Ghosh, Sanghamitra Bandyopadhyay, "A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series", IEEE Transactions on Geoscience and Remote Sensing, 60, 13-Jan, 2/22/2022
  23. Angana Chakraborty, Burkhard Morgenstern, Sanghamitra Bandyopadhyay, "S-conLSH: alignment-free gapped mapping of noisy long reads", BMC bioinformatics, 22, 1, 18-Jan, 2021/12
  24. Snehalika Lall, Sumanta Ray, Sanghamitra Bandyopadhyay, "RgCop-A regularized copula based method for gene selection in single-cell RNA-seq data", PLoS computational biology, 17, 10, e1009464, 10/19/2021
  25. Tapas Bhadra, Sanghamitra Bandyopadhyay, "Supervised feature selection using integration of densest subgraph finding with floating forward-backward search", Information Sciences, 566, 18-Jan, 8/1/2021
  26. Monalisa Pal, Sanghamitra Bandyopadhyay, "Occupant Actions Selection Strategies Based on Pareto-Optimal Schedules and Daily Schedule for Energy Management in Buildings", 249-270, 5/13/2021
  27. Krishan Gupta, Manan Lalit, Aditya Biswas, Chad D Sanada, Cassandra Greene, Kyle Hukari, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Naveen Ramalingam, Gaurav Ahuja, Abhik Ghosh, Debarka Sengupta, "Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data", Genome research, 31, 4, 689-697, 4/1/2021
  28. Snehalika Lall, Debajyoti Sinha, Abhik Ghosh, Debarka Sengupta, Sanghamitra Bandyopadhyay, "Stable feature selection using copula based mutual information", Pattern Recognition, 112, 107697, 4/1/2021
  29. Monalisa Pal, Sanghamitra Bandyopadhyay, "Decomposition in decision and objective space for multi-modal multi-objective optimization", Swarm and Evolutionary Computation, 62, 100842, 4/1/2021
  30. Jayita Saha, Dip Ghosh, Chandreyee Chowdhury, Sanghamitra Bandyopadhyay, "Smart handheld based human activity recognition using multiple instance multiple label learning", Wireless Personal Communications, 117, 923-943, 2021/3
  31. Jayita Saha, Chandreyee Chowdhury, Dip Ghosh, Sanghamitra Bandyopadhyay, "A detailed human activity transition recognition framework for grossly labeled data from smartphone accelerometer", Multimedia Tools and Applications, 80, 9895-9916, 2021/3
  32. Priya Roy, Chandreyee Chowdhury, Mausam Kundu, Dip Ghosh, Sanghamitra Bandyopadhyay, "Novel weighted ensemble classifier for smartphone based indoor localization", Expert Systems with Applications, 164, 113758, 2/1/2021
  33. Raunak Sengupta, Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay, "Uniform distribution driven adaptive differential evolution", Applied Intelligence, 50, 3638-3659, 2020/11
  34. Sagnik Sen, Ashmita Dey, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Vladimir Uversky, "Understanding Structural Malleability of the SARS-CoV-2 Proteins and their Relation to the Comorbidities", Briefings in Bioinformatics, 9/24/2020
  35. Koushik Mallick, Saurav Mallik, Sanghamitra Bandyopadhyay, Sikim Chakraborty, "A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19, 2, 773-785, 8/31/2020
  36. Sumanta Ray, Snehalika Lall, Sanghamitra Bandyopadhyay, "CODC: a Copula-based model to identify differential coexpression", NPJ systems biology and applications, 6, 1, 20, 6/19/2020
  37. Angana Chakraborty, Sanghamitra Bandyopadhyay, "conLSH: Context based Locality Sensitive Hashing for mapping of noisy SMRT reads", Computational Biology and Chemistry, 85, 107206, 4/1/2020
  38. Suparna Saha, Saurav Mallik, Sanghamitra Bandyopadhyay, "DeMoS: Dense Module based Gene Signature Detection through Quasi-Clique: An Application to Cervical Cancer Prognosis", 3/15/2020
  39. Debajyoti Sinha, Pradyumn Sinha, Ritwik Saha, Sanghamitra Bandyopadhyay, Debarka Sengupta, "Improved dropClust R package with integrative analysis support for scRNA-seq data", 36, 6, 1946-1947, 3/1/2020
  40. Monalisa Pal, Amr Alzouhri Alyafi, Stéphane Ploix, Patrick Reignier, Sanghamitra Bandyopadhyay, "Unmasking the causal relationships latent in the interplay between occupant's actions and indoor ambience: A building energy management outlook", Applied Energy, 238, 1452-1470, 3/15/2019
  41. Amr Alzouhri Alyafi, Monalisa Pal, Stephane Ploix, Patrick Reignier, Sanghamitra Bandyopadhyay, "Unmasking the causal relationships latent in the interplay between occupant's actions and indoor ambience: a building energy management outlook", HAL, 2019, 2019
  42. Snehalika Lall, Debajyoti Sinha, Sanghamitra Bandyopadhyay, Debarka Sengupta, "Structure-aware principal component analysis for single-cell RNA-seq data", Journal of Computational Biology, 25, 12, 1365-1373, 12/1/2018
  43. Ujjwal Maulik, Sagnik Sen, Saurav Mallik, Sanghamitra Bandyopadhyay, "Detecting TF-miRNA-gene network based modules for 5hmC and 5mC brain samples: a intra-and inter-species case-study between human and rhesus", BMC genetics, 19, 22-Jan, 2018/12
  44. Saurav Mallik, Sanghamitra Bandyopadhyay, "WeCoMXP: Weighted connectivity measure integrating Co-methylation, Co-expression and protein-protein interactions for gene-module detection", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17, 2, 690-703, 9/2/2018
  45. Debajyoti Sinha, Akhilesh Kumar, Himanshu Kumar, Sanghamitra Bandyopadhyay, Debarka Sengupta, "dropClust: efficient clustering of ultra-large scRNA-seq data", Nucleic acids research, 46, 6, e36-e36, 4/6/2018
  46. Malay Bhattacharyya, Sanghamitra Bandyopadhyay, "Involvement of MicroRNAs in Alzheimer's Disease", MicroRNA: Perspectives in Health and Diseases, 2/19/2018
  47. D Sinha, A Sarkar, S Pal, S Bandyopadhyay, R Ghosh, "Fuzzy based dc/dc boost converter design to enhance efficacy of photovoltaic application", International Journal of Mechanical and Production Engineering Research and Development, 421-428, 2018
  48. Saurav Mallik, Tapas Bhadra, Soumita Seth, Sanghamitra Bandyopadhyay, Jianjiao Chen, "Multi-objective optimization approaches in biological learning system on microarray data", 159-180, 2018
  49. Monalisa Pal, Sriparna Saha, Sanghamitra Bandyopadhyay, "DECOR: differential evolution using clustering based objective reduction for many-objective optimization", Information Sciences, 423, 200-218, 1/1/2018
  50. JJ Abbott, M Adams, A Agha-Mohammadi, A Ahmad, MN Ahmadabadi, A Ajoudani, A Albu-Schaffer, M Alibeigi, G Allibert, AD Ames, BN Araabi, R Ariizumi, U Asif, SF Atashzar, K Ayusawa, S Bandyopadhyay, M Bangura, P Barrios, G Battistelli, M Bennamoun, S Bereg, C Bergeles, G Best, A Bicchi, HJ Bidgoly, S Bogdan, J Bohg, D Boutat, LJ Brattain, DJ Braun, S Briot, O Brock, D Brscic, TL Bruns, "2017 Index IEEE Transactions on Robotics Vol. 33", IEEE Transactions on Robotics, 33, 6, 1525, 2017/12
  51. Paulami Chatterjee, Debjani Roy, Malay Bhattacharyya, Sanghamitra Bandyopadhyay, "Biological networks in Parkinson's disease: an insight into the epigenetic mechanisms associated with this disease", BMC genomics, 18, 17-Jan, 2017/12
  52. Tapas Bhadra, Saurav Mallik, Sanghamitra Bandyopadhyay, "Identification of multiview gene modules using mutual information-based hypograph mining", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49, 6, 1119-1130, 11/3/2017
  53. D. Sinha, D. Sengupta and S. Bandyopadhyay, "ParSel: Parallel Selection of Micro-RNAs for Survival Classification in Cancers", Molecular Informatics, 36, 7, 2017/7.
  54. S. Bandyopadhyay and K Mallick, "A new feature vector based on Gene Ontology terms for protein-protein interaction prediction",IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14, 4, 762-770, 2016/4 .
  55. M. Bhattacharyya, S. Maity and S. Bandyopadhyay, "Exploring the Missing Links Between Dietary Habits and Diseases", IEEE Transactions on NanoBioscience, 16, 3, 226-238, 2017/01.
  56. S. Malllik and S. Bandyopadhyay, "Integrating Multiple Data Sources for Combinatorial Marker Discovery: A Study in Tumorigenesis", IEEE Transactions on Computational Biology and Bioinformatics, 15, 2, 673-687, 2016/12.
  57. D. Sengupta, S. Bandyopadhyay and D. Sinha, "A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining", IEEE Transactions on Neural Networks and Learning Systems, vol. 28. no. 2. pp. 405-414, Feb 2017.
  58. S. Joardar, A. Chatterjee, S. Bandyopadhyay and U. Maulik, "Multi-size Patch based Collaborative Representation for Palm Dorsa Vein Pattern Recognition by Enhanced Ensemble Learning with Modified Interactive Artificial Bee Colony Algorithm",Engineering Applica- tions of Artificial Intelligence, Elsevier, vol. 60, pp. 151-163, 2017.
  59. S. Ray and S. Bandyopadhyay, "Discovering Condition Specific Topological Pattern Changes in Coexpression Network: An Application to HIV1 Progression", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.13, no. 6, pp. 1086-1099, 2016.
  60. M. Bhattacharyya, J. Nath and S. Bandyopadhyay, "Identifying Significant microRNAmRNA Pairs Associated with Breast Cancer Subtypes" Molecular Biology Reports, vol. 43, no. 7, pp. 591-599, DOI: 10.1007/s11033-016-4021-z, 2016.
  61. S. Ray, and S. Bandyopadhyay, "NMF Based Approach for Integrating Multiple Data Sources to Predict HIV-1-human PPIs BMC Bioinformatics, 17: 121, doi: 10.1186/s12859-016- 0952-6, 2016.
  62. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "A Survey of Evolutionary Multiobjective Clustering"ACM Computing Surveys, vol. 47, Iss. 4, Article No. 61, 2015.
  63. S. Acharya, S. Saha and S. Bandyopadhyay, "Use of Line Based Symmetry for Developing Cluster Validity Indices", Soft Computing, Volume 20, Number 9, Pages 34613474 (2016), doi:10.1007/s00500-015-1848-5.
  64. D. Sengupta, I. Aich, and S. Bandyopadhyay. " Feature Selection Using Feature Dissimilarity Measure and DensityBbased Clustering: Application to Biological Data", Journal of Biosciences, vol. 40, no. 4 , pp. 721-730, 2015.
  65. S. Saha, R. Spandana, A. Ekbal, and S. Bandyopadhyay, " Simultaneous Feature Selection and Symmetry Based Clustering Using Multiobjective Framework", Applied Soft Computing, vol. 29, pp. 479-486, 2015.
  66. S. Bandyopadhyay, D. Ghosh, R. Mitra and Z. Zhao, " MBSTAR: Multiple Instance Learning for Predicting Specifc Functional Binding sites in microRNA targets", Scientifc Reports (Nature Publishing Group), 5, Article number: 8004, doi:10.1038/srep08004, 2015.
  67. M. Aqil, S. Mallik, S. Bandyopadhyay, U. Maulik and S. Jameel, " Transcriptomic Analysis of mRNAs in Human Monocytic Cells Expressing the HIV-1 Nef Protein and Their Exosomes", BioMed Research International, vol. 2015, article id: 492395, pp. 1-10, 2015.
  68. U. Maulik, S. Mallik, A. Mukhopadhyay and S. Bandyopadhyay, " Analyzing Gene Expression and Methylation Data Profles using StatBicRM: Statistical Biclustering-based Rule Mining" Plos One, vol. 10, no. 4: e0119448, 2015.
  69. T. Bhadra and S. Bandyopadhyay, " Unsupervised Feature Selection using an Improved version of Differential Evolution", Expert Systems with Applications, vol. 42, no. 8, pp. 4042- 4053, 2015.
  70. S. Bandyopadhyay, T. Bhadra and U. Maulik, " Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection using Normalized Mutual Information",Journal of Multiple-Valued Logic and Soft Computing, vol. 25, no. 2-3, pp. 189-213, 2015.
  71. S. Bandyopadhyay, S. Ray, A. Mukhopadhyay, and U. Maulik, " A multiobjective approach for identifying protein complexes and studying their association in multiple disorders Al- gorithms in Molecular Biology, 10; 2015.
  72. M. Bhattacharyya, J. Nath and S. Bandyopadhyay, "MicroRNA Signatures Highlight New Breast Cancer Subtypes", Gene, vol. 556, vol. 2, pp. 192-198, DOI: 10.1016/j.gene.2014.11. 053.2015.
  73. M. Bhattacharyya and S. Bandyopadhyay, "Finding Quasi Core with Simulated Stacked Neural Networks", Information Sciences, vol. 294, pp. 1-14, 2015, DOI: 10.1016/j.ins.2014.09.032.
  74. S. Bandyopadhyay, G. Chowdhary and D. Sengupta, "FOCS: Fast Overlapped Community Search," IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 11, pp. 2974-2985, 2015.
  75. S. Bandyopadhyay, R. Chakraborty and U. Maulik, "Priority Based ε-Dominance: A New Measure in Multiobjective Optimization", Information Sciences, vol. 305, pp. 97-109, 2015.
  76. R. Mitra, C. Lin, C. M. Eischen, S. Bandyopadhyay, and Z. Zhao, "Concordant Dysregulation of miR-5p and miR-3p Arms of the Same Precursor microRNA may be a Mechanism in Inducing Cell Proliferation and Tumorigenesis: A Lung Cancer Study", RNA, DOI: 10.1261/rna.048132.114, 2015.
  77. S. Sengupta, D. Roy and S. Bandyopadhyay, "Structural Insight into Mycobacterium Tuberculosis Maltosyl Transferase Inhibitors: Pharmacophore-Based Virtual Screening, Docking and Molecular Dynamics Simulations", Journal of Biomolecular Structure and Dynamics (Taylor and Francis), 2015.
  78. K. Basu, V. Debusschere, S. Bacha, U. Maulik and S. Bandyopadhyay, "Non Intrusive Load Monitoring: A Temporal Multi-Label Classification Approach", IEEE Transactions on In- dustrial Informatics, vol. 11, iss. 1, pp. 262 - 270, 2015.
  79. S. Bandyopadhyay and A. Mukherjee, "An Algorithm for Many-Objective Optimization with Reduced Objective Computations: A Study in Differential Evolution", IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2014.2332878, 2015.
  80. S. Bandyopadhyay, S. Ray, A. Mukhopadhyay and U. Maulik, "A Review of In Silico Approaches for Analysis and Prediction of HIV-1-Human Protein-Protein Interactions", Briefings in Bioinformatics, doi: 10.1093/bib/bbu041, 2014.
  81. S. Bandyopadhyay and K. Mallick, "A New Path Based Hybrid Measure for Gene Ontology Similarity", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 1, pp. 116-127, 2014.
  82. S. Bandyopadhyay, S. Mallik, and A. Mukhopadhyay, "A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 1, pp. 95- 115, 2014.
  83. S. Bandyopadhyay, T. Bhadra, P. Mitra and U. Maulik, "Integration of Dense Subgraph Finding with Feature Clustering for Unsupervised Feature Selection", Pattern Recognition Letters, vol. 40, pp. 104-112, 2014.
  84. A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, "A Survey of Multi-objective Evolutionary Algorithms for Data Mining - Part II", IEEE Transactions on Evolutionary Computation, vol. 18, no. 1, pp. 20-35, 2014.
  85. A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, "A Survey of Multi-objective Evolutionary Algorithms for Data Mining - Part I", IEEE Transactions on Evolutionary Computation, vol. 18, no. 1, pp. 4-19, 2014.
  86. C. Chakraborty, C. G. Priya Doss and S. Bandyopadhyay and G. Agoramoorthy, "In uence of miRNA in insulin signaling pathway and insulin resistance: Micro-molecules with immense role in type-2 diabetes (T2D)", WIREs RNA, vol. 5, no. 5, pp. 697-712, 2014.
  87. P. Chatterjee, M. Bhattacharyya, S. Bandyopadhyay, and D. Roy, "Studying the Systemlevel Involvement of MicroRNAs in Parkinson's Disease", PLoS ONE, 9(4):e93751, DOI: 10.1371/journal.pone.0093751, 2014.
  88. M. Aqil, Afsar R. Naqvi, S. Mallik, S. Bandyopadhyay, U. Maulik and S. Jameel, "The HIV Nef Protein Modulates Cellular and Exosomal miRNA Profles in Human Monocytic Cells", Journal of Extracellular Vescicles, vol. 3, doi: 10.3402/jev.v3.23129, 2014.
  89. S. Sengupta, D. Roy and S. Bandyopadhyay, "Modeling of a New Tubercular Maltosyl Transferase, GlgE, Study of its Binding Sites and Virtual Screening," Molecular Biology Reports, Springer, vol. 41, no. 6, pp. 3549-3560, doi: 10.1007/s11033-014-3068-y, 2014.
  90. C. Chakraborty, C. George Priya Doss, S. Bandyopadhyay, B. Kumar Sarkar and S. A. Syed Haneef, "Mapping the Structural Topology of IRS Family Cascades through Computational Biology", Cell Biochemistry and Biophysics, Springer, vol. 67, pp. 1319-1331, 2013.
  91. D. Sengupta, A. Pyne, U. Maulik, S. Bandyopadhyay, "Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 742-751, 2013.
  92. C. Chakraborty, S. Bandyopadhyay, U. Maulik, G. Agoramoorthy, "Topology Mapping of Insulin-Regulated Glucose Transporter GLUT4 Using Computational Biology", Cell Bio- chemistry and Biophysics, Springer, vol. 67, pp. 1261-1274, 2013.
  93. T. Bhadra, M. Bhattacharyya, L. Feuerbach, T. Lengauer and S. Bandyopadhyay, "DNA Methylation Patterns Facilitate the Identifcation of MicroRNA Transcription Start Sites: A Brain-specifc Study", PLoS ONE, doi:10.1371/journal.pone.0066722, 2013.
  94. S. Bandyopadhyay, D. Sengupta and U. Maulik, "GRF: A Greedy Rank Fusion Algorithm for Combining microRNA Target Orderings", Molecular Informatics, Wiley, vol. 32, no. 8, pp. 685-691, 2013 (DOI: 10.1002/minf.201200165).
  95. A. Bhar, M. Haubrock, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, and E. Wingender, "Coexpression and coregulation analysis of time-series gene expression data in estrogeninduced breast cancer cell", Algorithms for Molecular Biology, vol. 8, no. 1, doi: 10.1186/1748- 7188-8-9, 2013 (Highly accessed paper).
  96. S. Bandyopadhyay, U. Maulik, R. Chakraborty, "Incorporating ε-dominance in AMOSA: Application to Multiobjective 0/1 Knapsack Problem and Clustering Gene Expression Data", Applied Soft Computing, vol. 13, pp. 2405-2411, 2013.
  97. U. Maulik, A. Mukhopadhyay, M. Bhattacharyya, L. Kaderali, B. Brors, S. Bandyopadhyay, and R. Eils, "Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10 no. 2, pp. 423-435, 2013 (DOI: http://doi.ieeecomputersociety.org/ 10.1109/TCBB.2012.139).
  98. S. Saha, A. Ekbal, K. Gupta, and S. Bandyopadhyay, "Gene Expression Data Clustering Using a Multiobjective Symmetry Based Clustering Technique", Computers in Biology and Medicine, vol. 43, no. 11, pp. 1965-197, 2013.
  99. A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, "An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns", IEEE Transactions on Biomedical Engineering, vol. 60, no. 1, pp. 35-41, 2013.
  100. M. Bhattacharyya, M. Das and S. Bandyopadhyay, "A New Approach for Combining Knowledge from Multiple Co-expression Networks of MicroRNAs", IEEE Transactions on Biomed- ical Engineering, vol. 60, no. 8, pp. 2167-2173, 2013.
  101. S. Saha and S. Bandyopadhyay, "A Generalized Automatic Clustering Algorithm in a Multiobjective Framework", Applied Soft Computing, vol. 13, no. 1, pp. 89-108, 2013.
  102. D. Sengupta and S. Bandyopadhyay, "Topological patterns in microRNA-Gene regulatory network: Studies in colorectal and breast cancer", Molecular BioSystems (Royal Society of Chemistry, UK), vol. 9, no. 6, pp. 1360-71, 2013.
  103. M. Bhattacharyya and S. Bandyopadhyay, "Studying the differential co-expression of microRNAs reveals signifcant role of white matter in early Alzheimer's progression", Molecular BioSystems, Royal Society of Chemistry, vol. 9, no. 3, pp. 457 - 466, 2013.
  104. A. Chakraborty and S. Bandyopadhyay, "FOGSAA: Fast Optimal Global Sequence Alignment Algorithm", Scientifc Reports (Nature Publishing Group), vol. 3, no. 1746, doi: 10.1038/srep01746, 2013.
  105. M. Bhattacharyya, M. Das and S. Bandyopadhyay, "miRT: A Database of Transcription Start Sites of Human MicroRNAs", Genomics, Proteomics and Bioinformatics, vol. 10, no. 5, pp. 310-316, doi: 10.1016/j.gpb.2012.08.005, 2012.
  106. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Gene Expression Data Analysis using Multiobjective Clustering Improved with SVM based Ensemble", In Silico Biology, vol. 11, no. 1-2, pp. 19-27, 2012.
  107. D. Sengupta, U. Maulik and S. Bandyopadhyay, "Weighted Markov Chain Based Aggregation of Bio-molecule Orderings", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 3, pp. 924-933, 2012.
  108. I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Fuzzy Clustering of Physicochemical and Biochemical Properties of Amino Acids", Amino Acids, Springer, vol. 43, no. 2, pp. 583-594, 2012.
  109. S. S. Ray, S. Bandyopadhyay and S. K. Pal, "A Weighted Power Framework for Integrating Multi-Source Information: Gene Function Prediction in Yeast", IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, pp. 1162-1168, 2012.
  110. M. Bhattacharyya and S. Bandyopadhyay, "In Silico Identifcation of OncomiRs in Different Cancer Types", Journal of The Institution of Engineers (India): Series B, vol. 93, no. 1, pp. 15-23, 2012, DOI: 10.1007/s40031-012-0003-2. (Invited paper)
  111. A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, "A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1-Human Protein Interactions", PLoS ONE, vol. 7, no. 4, doi:10.1371/journal. pone.0032289, 2012.
  112. S. Sengupta and S. Bandyopadhyay, "De novo Design of Potential RecA Inhibitors using Multiobjective Optimization", IEEE/ACM Transactions on Computational Biology and Bioin- formatics, vol. 9, no.4, pp. 1139-1154, 2012.
  113. S. Saha and S. Bandyopadhyay, "Some Connectivity based Cluster Validity Indices", Applied Soft Computing, vol. 12, no. 5, pp. 1555-1565, 2012.
  114. M. Bhattacharyya, M. Bhattacharyya and S. Bandyopadhyay, \Recent Directions in Compressing Next Generation Sequencing Data", Current Bioinformatics, vol. 7, no. 1, pp. 2-6, 2012.
  115. I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 1, pp. 52-55, 2012.
  116. M. Bhattacharyya, L. Feuerbach, T. Bhadra, T. Lengauer, and S. Bandyopadhyay, "MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection", Sta- tistical Applications in Genetics and Molecular Biology, vol. 11, no. 1, art. 6, 2012, DOI: 10.2202/1544-6115.1743.
  117. I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Improved Differential Evolution for Microarray Analysis", International Journal of Data Mining and Bioinformatics, vol. 6, no. 1, pp 86-103, 2011.
  118. S. Bandyopadhyay, "Genetic Algorithms for Hard and Fuzzy Clustering," WIREs Data Min- ing and Knowledge Discovery, John Wiley and Sons, vol. 1, pp. 524-531, 2011.
  119. S. Bandyopadhyay, "Multiobjective Simulated Annealing for Fuzzy Clustering with Stability and Validity", IEEE Transactions on Systems, Man and Cybernetics - C, vol. 41, no. 5, pp. 682-691, 2011.
  120. I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Improvement of New Automatic Differential Fuzzy Clustering using SVM Classifer for Microarray Analysis", Expert Systems with Applications, Elsevier, vol. 28, no. 12, pp. 15122-15133, 2011.
  121. R. Mitra and S. Bandyopadhyay, "MultiMiTar: A Novel Multi Objective Optimization based miRNA-Target Prediction Method", PLoS ONE, vol. 6, no. 9, art id. e24583, DOI :10.1371/journal.pone. 0024583, 2011.
  122. S. Saha and S. Bandyopadhyay, "Automatic MR Brain Image Segmentation Using a Multiseed Based Multiobjective Clustering Approach", Applied Intelligence, vol. 35, no. 3, pp. 411-427, 2011.
  123. D. Sengupta and S. Bandyopadhyay, "Participation of MicroRNAs in Human Interactome: Extraction of MicroRNA-MicroRNA Regulations", Molecular BioSystems, vol. 7, pp. 1966- 1973, DOI: 10.1039/C0MB00347F, 2011.
  124. U. Maulik, M. Bhattacharyya, A. Mukhopadhyay and S. Bandyopadhyay, "Identifying the Immunodeficiency Gateway Proteins in Human and their Involvement in MicroRNA Regulation", Molecular BioSystems, vol. 7, no. 6, pp. 1842-1851, 2011.
  125. S. Bandyopadhyay and M. Bhattacharyya, "A Biologically InspiredMeasure for Co-expression Analysis", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 4, pp. 929-942, 2011.
  126. S. Saha and S. Bandyopadhyay, "On Principal Axis Based Line Symmetry Clustering Techniques", Memetic Computing, vol. 3, no. 2, pp. 129-144, 2011.
  127. S. Bandyopadhyay, S. Saha and W. Pedrycz, "Use of a Fuzzy Granulation-degranulation Criterion for Assessing Cluster Validity", Fuzzy Sets and Systems, vol. 170, no. 1, pp. 22-42, 2011.
  128. S. Saha and S. Bandyopadhyay, "Use of Different Forms of Symmetry and Multiobjective Optimization for Automatic Pixel Classification in Remote Sensing Satellite Imagery", International Journal of Remote Sensing, vol. 31, no. 22, pp. 5751-5775, 2010.
  129. A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, "Multi-class Clustering of Cancer Subtypes through SVM based Ensemble of Pareto-optimal Solutions for Gene Marker Identification", 2010. PLoS ONE, vol. 5, no.11, art. id. e13803,
  130. S. Saha and S. Bandyopadhyay, "New Multiobjective Simulated Annealing Based Fuzzy Clustering Technique: Application to Automatic Pixel Classification in Remote Sensing Imagery", Foundations of Computing and Decision Sciences, vol. 34, no. 3, pp. 209-229, 2010.
  131. S. Saha and S. Bandyopadhyay, "Application of a Multiseed Based Clustering Technique for Automatic Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 2, pp. 306-308, 2010.
  132. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "On Biclustering of Gene Expression Data", Current Bioinformatics, vol. 5, no. 3, pp. 204-216, 2010.
  133. S. Saha and S. Bandyopadhyay, "A New Multiobjective Clustering Technique Based on the Concepts of Stability and Symmetry", Knowledge and Information Systems (KAIS) Journal, vol. 23, no. 1, pp. 1-27, 2010.
  134. U. Maulik, S. Bandyopadhyay and I. Saha, "Integrating Clustering and Supervised Learning for Categorical Data Analysis" IEEE Transactions on Systems, Man and Cybernetics - Part A, vol. 40, no. 4, pp.664-675, 2010.
  135. S. Bandyopadhyay, M. Bhattacharyya, "PuTmiR: A Database for Extracting Neighboring Transcription Factors of Human microRNAs," BMC Bioinformatics, 11:190, doi:10.1186/ 1471-2105-11-190, 2010 (Highly accessed paper).
  136. I. Saha and U. Maulik and S. Bandyopadhyay and D. Plewczynsk, "Unsupervised and Supervised Learning Approaches Together for Microarray Analysis," Fundamenta Informaticae, vol. 106, no. 1, pp. 45-73, 2011.
  137. S. Bandyopadhyay and S. Sengupta, "IVGA3D: De Novo Ligand Design using a Variable Sized Tree Representation", Protein & Peptide Letters, vol. 17, no. 12, pp. 1495-1516, 2010.
  138. S. Bandyopadhyay, R. Baragona and U. Maulik, "Clustering Multivariate Time Series by Genetic Multiobjective Optimization", METRON - International Journal of Statistics, vol. LXVIII, no. 2, pp. 161-183, 2010.
  139. R. Mitra, S. Bandyopadhyay, U. Maulik and M. Q. Zhang, "SFSSClass: An Integrated Approach for miRNA Based Tumor Classification", BMC Bioinformatics, vol. 11, Suppl. 1, p. S22, DOI 10.1186/1471-2105-11-S1-S22, 2010.
  140. S. Bandyopadhyay, R. Mitra, U. Maulik and M. Q. Zhang, "Development of the Human Cancer microRNA Network", BMC Silence, vol. 1, art no. 6, 2010 (one of five featured article in Biomed Central as on February 5, 2010) (Highly accessed paper).
  141. S. Saha and S. Bandyopadhyay, "A Symmetry Based Multiobjective Clustering Technique for Automatic Evolution of Clusters", Pattern Recognition, vol. 43, no. 3, pp. 738-751, March 2010.
  142. S. Saha and S. Bandyopadhyay, "MR Brain Image Segmentation using a Multi-seed Based Automatic Clustering Technique", Fundamenta Informaticae, vol. 97, no. 1-2, pp. 199-214, 2009.
  143. S. Saha and S. Bandyopadhyay, "A New Multiobjective Simulated Annealing Based Clustering Technique Using Symmetry," Pattern Recognition Letters, vol. 30, no. 15, pp. 1392-1403, 2009.
  144. S. Saha and S. Bandyopadhyay, "Semi-GAPS: A Clustering Method Using a Point Symmetry Based Distance Measure for Semi-supervised Clustering", Fundamenta Informaticae, vol. 96, no. 1-2, pp. 195-209, 2009.
  145. U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, "Finding Multiple Coherent Biclusters in Microarray Data using Variable String Length Multiobjective Genetic Algorithm", IEEE Transactions on Information Technology in BioMedicine, vol. 13, no. 6, pp. 969-975, 2009.
  146. S. Saha and S. Bandyopadhyay, "A New Point Symmetry Based Fuzzy Genetic Clustering Technique for Automatic Evolution of Clusters", Information Sciences, vol. 179, no. 19, pp. 3230-3246, 2009.
  147. S. Saha and S. Bandyopadhyay, "Performance Evaluation of Some Symmetry Based Cluster Validity Indices", IEEE Transactions on Systems, Man and Cybernetics - Part C, vol. 39, no. 4, pp. 420-425, 2009.
  148. S. Bandyopadhyay and R. Mitra, "A Parallel Pairwise Local Sequence Alignment Algorithm", IEEE Transactions on NanoBioScience, vol. 8, no. 2, pp. 139 - 146, 2009.
  149. S. Bandyopadhyay and M. Bhattacharyya, "Mining the Largest Dense Vertexlet in aWeighted Scale-free Graph", Fundamenta Informaticae vol. 96, no. 1-2, pp. 1-25, 2009.
  150. M. Bhattacharyya and S. Bandyopadhyay, "Solving Maximum Fuzzy Clique Problem with Neural Networks and its Applications", Journal of Memetic Computing, Thematic Issue on \Adaptive Soft Computing Techniques and Applications," vol. 1, no. 4, pp. 281-290, 2009.
  151. S. Bandyopadhyay and M. Bhattacharyya, "A Novel Method of Studying the Disease Regulatory Activities of MicroRNAs", Current Bioinformatics, vol. 4, no. 3, pp. 234-241, 2009.
  152. M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, "Non-primes are Recursively Divisible", Acta Universitatis Apulensis, vol. 19, pp. 147-151, 2009.
  153. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Multi-objective Genetic Algorithm based Fuzzy Clustering of Categorical Attributes", IEEE Transactions on Evolutionary Com- putation, vol. 13, no. 5, pp. 991-1005, 2009.
  154. S. Saha and S. Bandyopadhyay, "A New Line Symmetry Distance and its Application to Data Clustering", Journal of Computer Science and Technology, vol. 24, no. 3, 2009.
  155. S. Saha, S. Sur-Kolay, P. Dasgupta, S. Bandyopadhyay, "MAkE: Multiobjective Algorithm for k-way Equipartitioning of a Point Set", Applied Soft Computing, vol. 9, pp. 711-724, 2009.
  156. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data", Journal of Bioinformatics and Computational Biology, vol. 7, no. 5, pp. 853-868, 2009.
  157. S. Bandyopadhyay and R. Mitra,"TargetMiner: MicroRNA Target Prediction With Systematic Identification Of Tissue Specific Negative Examples", Bioinformatics, vol. 25, no. 20, pp. 2625 - 2631, 2009, doi: 10.1093/bioinformatics/btp503 (Featured in Biotech Week, November 4, 2009 and included in the repository of Canada's Michael Smith Genome Sciences Center - http://www.bcgsc.ca/downloads/genereg/remcbigdata/miR/TargetMiner/).
  158. S. Saha and S. Bandyopadhyay, "Some Symmetry Based Classifiers", Fundamenta Informat- icae, vol. 90, no. 1-2, pp. 107-123, 2009.
  159. S. Bandyopadhyay and M. Bhattacharyya, "Analyzing miRNA Co-expression Networks to Explore TF-miRNA Regulation", BMC Bioinformatics, 10:163, doi: 10.1186/1471-2105-10- 163, 2009 (Highly accessed paper).
  160. S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Combining Multi-Source Information through Functional Annotation based Weighting: Gene Function Prediction in Yeast", IEEE Trans- actions on Biomedical Engineering, vol. 56, no. 2, pp. 229-236, 2009.
  161. M. Bhattacharyya and S. Bandyopadhyay, "Information Fusion in Bioinformatics", Techno- rama, Institution of Engineers (India), vol. 58(T), pp. 21-25, 2009.
  162. U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, "Combining Pareto-Optimal Clusters using Supervised Learning for Identifying Co-expressed Genes", BMC Bioinformatics, 10:27, 2009.
  163. S. Bandyopadhyay and S. Saha, "A Point Symmetry Based Clustering Technique for Automatic Evolution of Clusters", IEEE Transactions on Knowledge and Data Engineering, vol 20, no. 11, pp. 1441-1457, 2008.
  164. S. Saha and S. Bandyopadhyay, "Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery", Fundamenta In- formaticae, vol. 84, no. 3-4, pp. 471-492, 2008.
  165. S. Saha and S. Bandyopadhyay, "Application of a New Symmetry Based Cluster Validity Index for Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 166-170, April 2008.
  166. S. Bandyopadhyay, S. Saha, U. Maulik and K. Deb, "A Simulated Annealing Based Multiobjective Optimization Algorithm: AMOSA", IEEE Transactions on Evolutionary Compu- tation, vol. 12, no. 3, pp. 269-283, 2008.
  167. S. Saha and S. Bandyopadhyay, "Application of a New Symmetry Based Multiobjective Clustering Technique for Automatic MR Brain Image Segmentation", Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol. 10, no. 2, pp. 19-28, 2008.
  168. A. Seth, S. Bandyopadhyay and U. Maulik, "Probabilistic Analysis of Cellular Automata Rules and its Application in Pseudo Random Pattern Generation", International Journal of Applied Mathematics, vol. 38, no. 4, pp. 205-213, 2008.
  169. S. Bandyopadhyay and S. Santra, "A Genetic Approach for Efficient Outlier Detection in Projected Space", Pattern Recognition, vol. 41, no. 4, pp. 1338-1349, 2008
  170. S. Bandyopadhyay, U. Maulik and D. Roy, "Gene Identification: Classical and Computational Intelligence Approaches", IEEE Transactions on Systems, Man and Cybernetics - Part C, vol. 38, no. 1, pp. 55-68, 2008.
  171. S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, "An Improved Algorithm for Clustering Gene Expression Data", Bioinformatics, Oxford University Press, vol. 23, no. 21, pp. 2859-2865, 2007.
  172. S. Bandyopadhyay and S. Saha, "GAPS: A New Symmetry Based Genetic Clustering Technique", Pattern Recognition, vol. 10, no. 12, pp. 3430-3451, 2007.
  173. S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Gene Ordering in Partitive Clustering using Microarray Expressions," Journal of Biosciences (INCOB special issue), vol. 32, no. 5, pp. 1019-1025, 2007.
  174. S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Dynamic Range Based Distance Measure for Microarray Expressions and a Fast Gene Ordering Algorithm", IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 37, no. 3, pp. 742-749, 2007.
  175. S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Genetic Operators for Combinatorial Optimization in TSP and Microarray Gene Ordering", Applied Intelligence, vol. 26, no. 3, pp. 183-195, 2007.
  176. S. Bandyopadhyay, U. Maulik and A. Mukhopadhyay, "Multiobjective Genetic Clustering for Pixel Classifcation in Remote Sensing Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 5, pp. 1506-1511, 2007.
  177. U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, "Efficient Clustering with Multi-class Point Identification," Journal of Three Dimensional Images, vol. 20, no. 1, pp. 35-40, 2006.
  178. S. Bandyopadhyay, C. Giannella, U. Maulik, H. Kargupta, K. Liu and S. Datta, "Clustering Distributed Data Streams in Peer-to-Peer Environments", Information Sciences, vol. 176, no. 14, pp. 1952-1985, 2006.
  179. S. K. Pal, S. Bandyopadhyay and S. S. Ray, "Evolutionary Computation in Bioinformatics: A Review", IEEE Transactions on Systems, Man and Cybernetics - Part C, vol. 36, no. 5, pp. 601-615, 2006.
  180. S. S. Ray, S. Bandyopadhyay, P. Mitra and S. K. Pal, "Bioinformatics in Neurocomputing Framework", IEEE Proc. Circuits, Devices & Systems, vol. 152, pp. 556-564, 2005.
  181. M. K. Pakhira, S. Bandyopadhyay and U. Maulik, "A Study of Some Fuzzy Cluster Validity Indices, Genetic Clustering and Application to Pixel Classifcation", Fuzzy Sets and Systems, vol. 155, no. 2, pp. 191-214, 2005.
  182. S. Bandyopadhyay, A. Bagchi and U. Maulik, "Active Site Driven Ligand Design: An Evolutionary Approach", Journal of Bioinformatics and Computational Biology, vol. 3, no. 5, pp. 1053-1070, 2005.
  183. S. Bandyopadhyay, "An Efficient Technique for Superfamily Classifcation of Amino Acid Sequences: Feature Extraction, Fuzzy Clustering and Prototype Selection", Fuzzy Sets and Systems, vol. 152, pp. 5-16, 2005.
  184. S. Bandyopadhyay, "Simulated Annealing Using Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering", IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 4, pp. 479-490, 2005.
  185. S. Bandyopadhyay, "Satellite Image Classification Using Genetically Guided Fuzzy Clustering with Spatial Information", International Journal of Remote Sensing, vol. 26, no. 3, pp. 579-593, 2005.
  186. S. Roy, U. Maulik and S. Bandyopadhyay, "Search Strategies to Solve the Complex Triangle Elimination (CTE) Problem", IETE Journal of Research, vol. 50, no. 6, pp. 409-423, 2004.
  187. M. K. Pakhira, S. Bandyopadhyay, U. Maulik, "An Annealing Evolution Technique for Clustering", Foundations of Computing and Decision Sciences Journal, vol. 29, pp. 345-372, 2004.
  188. S. Bandyopadhyay, S. K Pal and B. Aruna, "Multi-objective GAs, Quantitative Indices and Pattern Classifcation", IEEE Transactions on Systems, Man and Cybernetics - B, vol. 34, pp. 2088-2099, 2004.
  189. S. Bandyopadhyay, "An Automatic Shape Independent Clustering Technique", Pattern Recog- nition, vol. 37, pp. 33-45, 2004.
  190. M. K. Pakhira, S. Bandyopadhyay and U. Maulik, "Validity Index for Crisp and Fuzzy Clusters", Pattern Recognition, vol. 37, pp. 487-501, 2004.
  191. S. Roy, U. Maulik, S. Bandyopadhyay, S. Basu and B. K. Sikdar,"Fan-in-Factor & Fanout- Factor (FiF-FoF) Oriented BIST Design for Sequential Machine", Proceedings IEE- Computers and Digital Techniques, vol. 150, no. 3, pp. 183-188, 2003.
  192. U. Maulik and S. Bandyopadhyay, "Fuzzy Partitioning Using Real Coded Variable Length Genetic Algorithm for Pixel Classifcation", IEEE Transactions on Geosciences and Remote Sensing, vol. 41, no. 5, pp. 1075-1081, 2003.
  193. U. Maulik and S. Bandyopadhyay, "Performance Evaluation of Some Clustering Algorithms and Validity Indices", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, no. 12, pp. 1650-1654, 2002
  194. S. Roy, S. Bandyopadhyay, U. Maulik and B. K. Sikdar, "A Genetic Algorithm Based State Assignment Scheme for Synthesis of Testable FSMs Targeting Area and Delay",
  195. S. Bandyopadhyay and U. Maulik, "Efficient Prototype Reordering in Nearest Neighbor Classifcation", Pattern Recognition, vol. 35, pp. 2791-2799, 2002.
  196. S. Bandyopadhyay, "Contour Extraction Using Genetic Algorithms", Journal of Institute of Electronics and Telecommunication Engineers (IETE), vol. 48, no. 5, pp. 369-376, 2002.
  197. S. Bandyopadhyay and U. Maulik, "An Evolutionary Technique Based on K-Means Algorithm for Optimal Clustering in RN", Information Sciences, vol. 146, pp. 221-237, 2002
  198. S. Bandyopadhyay and U. Maulik, "Genetic Clustering for Automatic Evolution of Clusters and Application to Image Classifcation", Pattern Recognition, vol. 35, no. 2, pp. 1197-1208, 2002.
  199. S. Roy, S. Bandyopadhyay and U. Maulik, "Proof Regarding the NP-Completeness of the Unweighted Complex Triangle Elimination (CTE) Problem for General Adjacency Graphs", Proc. IEE-Computers and Digital Techniques, vol. 148, no. 6, pp. 238-244, 2001.
  200. S. K. Pal, S. Bandyopadhyay and C. A. Murthy, "Genetic Classifers for Remotely Sensed Images: Comparison with Standard Methods", International Journal of Remote Sensing, vol. 22, no. 13, pp. 2545-2569, 2001.
  201. U. Maulik, S. Bandyopadhyay and J. Trinder, "SAFE: An Efficient Feature Extraction Technique", Journal of Knowledge and Information Systems, vol. 3, issue 3, pp. 374-387, 2001.
  202. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Supervised Pattern Classifcation by Surface Fitting with Genetic Algorithms", INSA Special Issue on Image Processing, Vision and Pattern Recognition, (S. K. Pal and C. A. Murthy, Eds.), vol. 67, no. 2, pp. 295-314, 2001.
  203. S. Bandyopadhyay and U. Maulik, "Non-parametric Genetic Clustering : Comparison of Validity Indices", IEEE Transactions on Systems, Man and Cybernetics - Part C, vol. 31, no. 1, pp. 120-125, 2001.
  204. S. Bandyopadhyay and S. K. Pal, "Pixel Classifcation Using Variable String Genetic Algorithms with Chromosome Differentiation", IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 2, pp. 303-308, 2001.
  205. S. Bandyopadhyay, U. Maulik and M. K. Pakhira, "Clustering using Simulated Annealing with Probabilistic Redistribution", International Journal of Pattern Recognition and Artifcial Intelligence, vol 15, no. 2, pp. 269-285, 2001.
  206. H. Kargupta and S. Bandyopadhyay, "A Perspective on the Foundation and Evolution of the Linkage Learning Genetic Algorithms", The Journal of Computer Methods in Applied Mechanics and Engineering , Special issue on Genetic Algorithms, D. E. Goldberg and K. Deb (Eds.), vol. 186, pp. 266-294, 2000.
  207. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "VGA-Classifer : Design and Application", IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 30, no. 6, pp. 890-895, 2000.
  208. U. Maulik and S. Bandyopadhyay, "Genetic Algorithm Based Clustering Technique", Pattern Recognition, vol. 33, no. 9, pp. 1455-1465, 2000.
  209. S. Bandyopadhyay and U. Maulik,"An Improved Evolutionary Algorithm as Function Optimizer", Journal of Institute of Electronics and Telecommunication Engineers (IETE), vol. 46, nos. 1 & 2, pp. 47-56, 2000.
  210. U. Maulik, S. Bandyopadhyay and S. Bhattacharyya, "Fault Tolerant Permutation Mapping in Multistage Interconnection Network", Journal of Systems Architecture, vol. 46, pp. 297- 300, 2000.
  211. S. Bandyopadhyay and S. K. Pal,"Relation Between VGA-classifer and MLP: Determination of Network Architecture", Fundamenta Informaticae, vol. 37, no. 1/2, pp. 177-196,1999.
  212. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Theoretical Performance of Genetic Pattern Classifer," Journal of the Franklin Institute, vol. 336, pp. 387-422, 1999.
  213. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Pattern Classifcation Using Genetic Algorithms: Determination of H", Pattern Recognition Letters, vol. 19, no. 13, pp. 1171- 1181, 1998.
  214. S. Bandyopadhyay, S. K. Pal and C. A. Murthy, "Simulated Annealing Based Pattern Classifcation," Information Sciences, vol. 109, pp. 165-184, 1998.
  215. S. Bandyopadhyay, S. K. Pal and U. Maulik, "Incorporating Chromosome Differentiation in Genetic Algorithms," Information Sciences, vol. 104, nos. 3-4, pp. 293-319, 1998.
  216. S. K. Pal, S. Bandyopadhyay, and C. A. Murthy, "Genetic Algorithms for Generation of Class Boundaries," IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 28, no. 6, pp. 816-828, 1998.
  217. S. Bandyopadhyay and S. K. Pal, "Pattern Classificationcation with Genetic Algorithms: Incorporation of Chromosome Differentiation," Pattern Recognition Letters, vol. 18, pp. 119-131, 1997.
  218. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Pattern Classificationcation using Genetic Algorithms," Pattern Recognition Letters, vol. 16, pp. 801-808, 1995.

 

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