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Sanghamitra Bandyopadhyay
2010 – today
- 2013
[b2]Sanghamitra Bandyopadhyay, Sriparna Saha: Unsupervised Classification - Similarity Measures, Classical and Metaheuristic Approaches, and Applications. Springer 2013, ISBN 978-3-642-32450-5, pp. I-XVIII, 1-262
[j77]Anirban Bhar, Martin Haubrock, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Edgar Wingender: Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell. Algorithms for Molecular Biology 8: 9 (2013)
[j76]Sriparna Saha, Sanghamitra Bandyopadhyay: A generalized automatic clustering algorithm in a multiobjective framework. Appl. Soft Comput. 13(1): 89-108 (2013)
[j75]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Rudrasis Chakraborty: Incorporating ϵ-dominance in AMOSA: Application to multiobjective 0/1 knapsack problem and clustering gene expression data. Appl. Soft Comput. 13(5): 2405-2411 (2013)
[j74]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns. IEEE Trans. Biomed. Engineering 60(1): 35-41 (2013)
[j73]Malay Bhattacharyya, Manali Das, Sanghamitra Bandyopadhyay: A New Approach for Combining Knowledge From Multiple Coexpression Networks of MicroRNAs. IEEE Trans. Biomed. Engineering 60(8): 2167-2173 (2013)
[j72]Ujjwal Maulik, Anirban Mukhopadhyay, Malay Bhattacharyya, Lars Kaderali, Benedikt Brors, Sanghamitra Bandyopadhyay, Roland Eils: Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach. IEEE/ACM Trans. Comput. Biology Bioinform. 10(2): 423-435 (2013)
[c52]Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach. CIBCB 2013: 120-127
[p3]Minakshi Banerjee, Sanghamitra Bandyopadhyay, Sankar K. Pal: A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance. Rough Sets and Intelligent Systems (2) 2013: 79-91- 2012
[j71]Sriparna Saha, Sanghamitra Bandyopadhyay: Some connectivity based cluster validity indices. Appl. Soft Comput. 12(5): 1555-1565 (2012)
[j70]Malay Bhattacharyya, Manali Das, Sanghamitra Bandyopadhyay: miRT: A Database of Validated Transcription Start Sites of Human MicroRNAs. Genomics, Proteomics & Bioinformatics 10(5): 310-316 (2012)
[j69]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Improved differential evolution for microarray analysis. IJDMB 6(1): 86-103 (2012)
[j68]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski: SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation. IEEE Geosci. Remote Sensing Lett. 9(1): 52-55 (2012)
[j67]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: A Weighted Power Framework for Integrating Multisource Information: Gene Function Prediction in Yeast. IEEE Trans. Biomed. Engineering 59(4): 1162-1168 (2012)
[j66]Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Weighted Markov Chain Based Aggregation of Biomolecule Orderings. IEEE/ACM Trans. Comput. Biology Bioinform. 9(3): 924-933 (2012)
[j65]Soumi Sengupta, Sanghamitra Bandyopadhyay: De Novo Design of Potential RecA Inhibitors Using MultiObjective Optimization. IEEE/ACM Trans. Comput. Biology Bioinform. 9(4): 1139-1154 (2012)
[j64]Sanghamitra Bandyopadhyay: Genetic algorithms for clustering and fuzzy clustering. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(3): 285 (2012)
[c51]Preeti Gupta, Sanghamitra Bandyopadhyay, Ujjwal Maulik: An Approach for the Ordering of Evaluation of Objectives in Multiobjective Optimization. BIC-TA (1) 2012: 251-262
[c50]Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Score Based Aggregation of microRNA Target Orderings. ISBRA 2012: 237-248
[c49]
[c48]Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. MLDM 2012: 86-101
[c47]Anirban Bhar, Martin Haubrock, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Edgar Wingender: δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data. WABI 2012: 165-177- 2011
[b1]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay: Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics. Springer 2011, ISBN 978-3-642-16614-3, pp. I-XVI, 1-281
[j63]Sriparna Saha, Sanghamitra Bandyopadhyay: Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach. Appl. Intell. 35(3): 411-427 (2011)
[j62]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski: Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis. Expert Syst. Appl. 38(12): 15122-15133 (2011)
[j61]Sanghamitra Bandyopadhyay, Sriparna Saha, Witold Pedrycz: Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. Fuzzy Sets and Systems 170(1): 22-42 (2011)
[j60]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski: Unsupervised and Supervised Learning Approaches Together for Microarray Analysis. Fundam. Inform. 106(1): 45-73 (2011)
[j59]Sriparna Saha, Sanghamitra Bandyopadhyay: On principle axis based line symmetry clustering techniques. Memetic Computing 3(2): 129-144 (2011)
[j58]Sanghamitra Bandyopadhyay, Malay Bhattacharyya: A Biologically Inspired Measure for Coexpression Analysis. IEEE/ACM Trans. Comput. Biology Bioinform. 8(4): 929-942 (2011)
[j57]Sanghamitra Bandyopadhyay: Genetic algorithms for clustering and fuzzy clustering. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(6): 524-531 (2011)
[c46]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach. CIBCB 2011: 141-145
[c45]Malay Bhattacharyya, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Finding Bicliques in Digraphs: Application into Viral-Host Protein Interactome. PReMI 2011: 412-417
[e3]Srinivas Aluru, Sanghamitra Bandyopadhyay, Ümit V. Çatalyürek, Devdatt P. Dubhashi, Phillip H. Jones, Manish Parashar, Bertil Schmidt (Eds.): Contemporary Computing - 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings. Communications in Computer and Information Science 168, Springer 2011, ISBN 978-3-642-22605-2- 2010
[j56]Ramkrishna Mitra, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Michael Q. Zhang: SFSSClass: an integrated approach for miRNA based tumor classification. BMC Bioinformatics 11(S-1): 22 (2010)
[j55]Sanghamitra Bandyopadhyay, Malay Bhattacharyya: PuTmiR: A database for extracting neighboring transcription factors of human microRNAs. BMC Bioinformatics 11: 190 (2010)
[j54]Sriparna Saha, Sanghamitra Bandyopadhyay: A new multiobjective clustering technique based on the concepts of stability and symmetry. Knowl. Inf. Syst. 23(1): 1-27 (2010)
[j53]Sriparna Saha, Sanghamitra Bandyopadhyay: A symmetry based multiobjective clustering technique for automatic evolution of clusters. Pattern Recognition 43(3): 738-751 (2010)
[j52]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha: Integrating Clustering and Supervised Learning for Categorical Data Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part A 40(4): 664-675 (2010)
[c44]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Simultaneous informative gene selection and clustering through multiobjective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
[c43]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski: Real-coded differential crisp clustering for MRI brain image segmentation. IEEE Congress on Evolutionary Computation 2010: 1-8
[c42]Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier: MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. CIBB 2010: 174-187
[c41]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image. ICEIS (2) 2010: 21-29
[c40]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. RSCTC 2010: 30-39
[c39]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski: Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering. STAIRS 2010: 290-302
2000 – 2009
- 2009
[j51]Sriparna Saha, Susmita Sur-Kolay, Parthasarathi Dasgupta, Sanghamitra Bandyopadhyay: MAkE: Multiobjective algorithm for k-way equipartitioning of a point set. Appl. Soft Comput. 9(2): 711-724 (2009)
[j50]Sanghamitra Bandyopadhyay, Ramkrishna Mitra: TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples. Bioinformatics 25(20): 2625-2631 (2009)
[j49]Sanghamitra Bandyopadhyay, Malay Bhattacharyya: Analyzing miRNA co-expression networks to explore TF-miRNA regulation. BMC Bioinformatics 10 (2009)
[j48]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay: Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes. BMC Bioinformatics 10 (2009)
[j47]Sriparna Saha, Sanghamitra Bandyopadhyay: Some Symmetry Based Classifiers. Fundam. Inform. 90(1-2): 107-123 (2009)
[j46]Sanghamitra Bandyopadhyay, Malay Bhattacharyya: Mining the Largest Dense Vertexlet in a Weighted Scale-free Graph. Fundam. Inform. 96(1-2): 1-25 (2009)
[j45]Sriparna Saha, Sanghamitra Bandyopadhyay: Semi-GAPS: A Semi-supervised Clustering Method Using Point Symmetry. Fundam. Inform. 96(1-2): 195-209 (2009)
[j44]Sriparna Saha, Sanghamitra Bandyopadhyay: MR Brain Image Segmentation Using A Multi-seed Based Automatic Clustering Technique. Fundam. Inform. 97(1-2): 199-214 (2009)
[j43]Sriparna Saha, Sanghamitra Bandyopadhyay: A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters. Inf. Sci. 179(19): 3230-3246 (2009)
[j42]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data. J. Bioinformatics and Computational Biology 7(5): 853-868 (2009)
[j41]Sriparna Saha, Sanghamitra Bandyopadhyay: A New Line Symmetry Distance and Its Application to Data Clustering. J. Comput. Sci. Technol. 24(3): 544-556 (2009)
[j40]Malay Bhattacharyya, Sanghamitra Bandyopadhyay: Solving maximum fuzzy clique problem with neural networks and its applications. Memetic Computing 1(4): 281-290 (2009)
[j39]Sriparna Saha, Sanghamitra Bandyopadhyay: A new multiobjective simulated annealing based clustering technique using symmetry. Pattern Recognition Letters 30(15): 1392-1403 (2009)
[j38]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: Combining Multisource Information Through Functional-Annotation-Based Weighting: Gene Function Prediction in Yeast. IEEE Trans. Biomed. Engineering 56(2): 229-236 (2009)
[j37]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes. IEEE Trans. Evolutionary Computation 13(5): 991-1005 (2009)
[j36]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay: Finding Multiple Coherent Biclusters in Microarray Data Using Variable String Length Multiobjective Genetic Algorithm. IEEE Transactions on Information Technology in Biomedicine 13(6): 969-975 (2009)
[j35]Sriparna Saha, Sanghamitra Bandyopadhyay: Performance Evaluation of Some Symmetry-Based Cluster Validity Indexes. IEEE Transactions on Systems, Man, and Cybernetics, Part C 39(4): 420-425 (2009)
[c38]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. IEEE Congress on Evolutionary Computation 2009: 255-261
[c37]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering. IEEE Congress on Evolutionary Computation 2009: 1313-1319
[c36]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification. EvoBIO 2009: 191-202
[c35]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay: An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. EvoWorkshops 2009: 426-431
[c34]
[c33]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation. ICAPR 2009: 236-239
[c32]Malay Bhattacharyya, Sanghamitra Bandyopadhyay: Integration of Co-expression Networks for Gene Clustering. ICAPR 2009: 355-358- 2008
[j34]Sriparna Saha, Sanghamitra Bandyopadhyay: Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery. Fundam. Inform. 84(3-4): 471-492 (2008)
[j33]Sanghamitra Bandyopadhyay, Santanu Santra: A genetic approach for efficient outlier detection in projected space. Pattern Recognition 41(4): 1338-1349 (2008)
[j32]Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal Maulik, K. Deb: A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA. IEEE Trans. Evolutionary Computation 12(3): 269-283 (2008)
[j31]Sanghamitra Bandyopadhyay, Sriparna Saha: A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters. IEEE Trans. Knowl. Data Eng. 20(11): 1441-1457 (2008)
[j30]Sanghamitra Bandyopadhyay, Ujjwal Maulik, D. Roy: Gene Identification: Classical and Computational Intelligence Approaches. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 55-68 (2008)
[c31]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation. IEEE Congress on Evolutionary Computation 2008: 877-883
[c30]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Michael Q. Zhang, Xuegong Zhang: Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure. IEEE Congress on Evolutionary Computation 2008: 1536-1543
[c29]Sanghamitra Bandyopadhyay, Sriparna Saha: A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering. ICONIP (2) 2008: 543-550
[c28]Sanghamitra Bandyopadhyay, Malay Bhattacharyya: A Neuro-GA Approach for the Maximum Fuzzy Clique Problem. ICONIP (1) 2008: 605-612
[c27]Sriparna Saha, Sanghamitra Bandyopadhyay: A new multiobjective simulated annealing based clustering technique using stability and symmetry. ICPR 2008: 1-4
[c26]Sriparna Saha, Sanghamitra Bandyopadhyay: A multiobjective simulated annealing based fuzzy-clustering technique with symmetry for pixel classification in remote sensing imagery. ICPR 2008: 1-4
[c25]Sriparna Saha, Sanghamitra Bandyopadhyay, Chingtham Tejbanta Singh: A new line symmetry distance based pattern classifier. IJCNN 2008: 1425-1432- 2007
[j29]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: Genetic operators for combinatorial optimization in TSP and microarray gene ordering. Appl. Intell. 26(3): 183-195 (2007)
[j28]Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay, Ujjwal Maulik: An improved algorithm for clustering gene expression data. Bioinformatics 23(21): 2859-2865 (2007)
[j27]Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal: Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. Inf. Sci. 177(22): 5033-5049 (2007)
[j26]Sanghamitra Bandyopadhyay, Sriparna Saha: GAPS: A clustering method using a new point symmetry-based distance measure. Pattern Recognition 40(12): 3430-3451 (2007)
[j25]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Anirban Mukhopadhyay: Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery. IEEE T. Geoscience and Remote Sensing 45(5-2): 1506-1511 (2007)
[c24]Sriparna Saha, Sanghamitra Bandyopadhyay: On some symmetry based validity indices. IEEE Congress on Evolutionary Computation 2007: 697-704
[c23]Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal: Adaptive mufti-objective particle swarm optimization algorithm. IEEE Congress on Evolutionary Computation 2007: 2281-2288
[c22]Sriparna Saha, Sanghamitra Bandyopadhyay: MRI brain image segmentation by fuzzy symmetry based genetic clustering technique. IEEE Congress on Evolutionary Computation 2007: 4417-4424
[c21]Sriparna Saha, Sanghamitra Bandyopadhyay: Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion. ICIT 2007: 62-67
[c20]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Multiobjective Genetic Fuzzy Clustering of Categorical Attributes. ICIT 2007: 74-79
[c19]Sriparna Saha, Sanghamitra Bandyopadhyay: A Fuzzy Genetic Clustering Technique Using a New Symmetry Based Distance for Automatic Evolution of Clusters. ICCTA 2007: 309-314
[c18]Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal: A Multi-objective Genetic Algorithm with Relative Distance: Method, Performance Measures and Constraint Handling. ICCTA 2007: 315-319
[c17]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube. ICCTA 2007: 337-341
[c16]Sriparna Saha, Sanghamitra Bandyopadhyay: A validity index based on cluster symmetry. SMC 2007: 462-467
[p2]Sanghamitra Bandyopadhyay, Santanu Santra, Ujjwal Maulik, Heinz Mühlenbein: In Silico Design of Ligands Using Properties of Target Active Sites. Analysis of Biological Data: A Soft Computing Approach 2007: 183-201
[p1]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data. Analysis of Biological Data: A Soft Computing Approach 2007: 303-328
[e2]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason Tsong-Li Wang (Eds.): Analysis of Biological Data: A Soft Computing Approach. World Scientific 2007, ISBN 981-270-780-8- 2006
[j24]Sanghamitra Bandyopadhyay, Chris Giannella, Ujjwal Maulik, Hillol Kargupta, Kun Liu, Souptik Datta: Clustering distributed data streams in peer-to-peer environments. Inf. Sci. 176(14): 1952-1985 (2006)
[c15]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data. ICIT 2006: 11-14
[c14]Sriparna Saha, Sanghamitra Bandyopadhyay, Ujjwal Maulik: A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation. ICIT 2006: 121-124
[c13]Sriparna Saha, Susmita Sur-Kolay, Sanghamitra Bandyopadhyay, Parthasarathi Dasgupta: Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI. ICIT 2006: 281-284
[c12]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation. SMC 2006: 2678-2683- 2005
[j23]Sanghamitra Bandyopadhyay: An efficient technique for superfamily classification of amino acid sequences: feature extraction, fuzzy clustering and prototype selection. Fuzzy Sets and Systems 152(1): 5-16 (2005)
[j22]Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik: A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification. Fuzzy Sets and Systems 155(2): 191-214 (2005)
[j21]Sanghamitra Bandyopadhyay, Angshuman Bagchi, Ujjwal Maulik: Active Site Driven Ligand Design: an Evolutionary Approach. J. Bioinformatics and Computational Biology 3(5): 1053-1070 (2005)
[j20]Sanghamitra Bandyopadhyay: Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering. IEEE Trans. Knowl. Data Eng. 17(4): 479-490 (2005)
[c11]Sanghamitra Bandyopadhyay: Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation. ISMIS 2005: 594-602
[c10]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: New Genetic Operators for Solving TSP: Application to Microarray Gene Ordering. PReMI 2005: 617-622
[c9]Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal: Incorporating Distance Domination in Multiobjective Evolutionary Algorithm. PReMI 2005: 684-689
[e1]Sankar K. Pal, Sanghamitra Bandyopadhyay, Sambhunath Biswas (Eds.): Pattern Recognition and Machine Intelligence, First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, Proceedings. Lecture Notes in Computer Science 3776, Springer 2005, ISBN 3-540-30506-8- 2004
[j19]Sanghamitra Bandyopadhyay: An automatic shape independent clustering technique. Pattern Recognition 37(1): 33-45 (2004)
[j18]Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Validity index for crisp and fuzzy clusters. Pattern Recognition 37(3): 487-501 (2004)
[c8]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal: New Operators of Genetic Algorithms for Traveling Salesman Problem. ICPR (2) 2004: 497-500- 2003
[j17]Ujjwal Maulik, Sanghamitra Bandyopadhyay: Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification. IEEE T. Geoscience and Remote Sensing 41(5): 1075-1081 (2003)
[c7]Samir Roy, Ujjwal Maulik, Sanghamitra Bandyopadhyay, S. Basu, Biplab Kumar Sikdar: Efficient BIST design for sequential machines using FiF-FoF values in machine states. ASP-DAC 2003: 875-878
[c6]Sanghamitra Bandyopadhyay: Feature Extraction in Transformed Domain for Protein Superfamily Identification from Amino Acid Sequences. IICAI 2003: 610-620
[c5]S. Roy, Sanghamitra Bandyopadhyay, Ujjwal Maulik: Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning. IICAI 2003: 646-655- 2002
[j16]Sanghamitra Bandyopadhyay, Ujjwal Maulik: An evolutionary technique based on K-Means algorithm for optimal clustering in RN. Inf. Sci. 146(1-4): 221-237 (2002)
[j15]Ujjwal Maulik, Sanghamitra Bandyopadhyay: Performance Evaluation of Some Clustering Algorithms and Validity Indices. IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1650-1654 (2002)
[j14]Sanghamitra Bandyopadhyay, Ujjwal Maulik: Genetic clustering for automatic evolution of clusters and application to image classification. Pattern Recognition 35(6): 1197-1208 (2002)
[j13]Sanghamitra Bandyopadhyay, Ujjwal Maulik: Efficient prototype reordering in nearest neighbor classification. Pattern Recognition 35(12): 2791-2799 (2002)
[c4]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Diane J. Cook, Lawrence B. Holder, Yousuf Ajmerwala: Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming. FLAIRS Conference 2002: 232-236
[c3]S. Bhattacharya, Ujjwal Maulik, Sanghamitra Bandyopadhyay: Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network. ICVGIP 2002
[c2]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira: Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images. ICVGIP 2002- 2001
[j12]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Malay Kumar Pakhira: Clustering Using Simulated Annealing with Probabilistic Redistribution. IJPRAI 15(2): 269-285 (2001)
[j11]Ujjwal Maulik, Sanghamitra Bandyopadhyay, John C. Trinder: SAFE: An Efficient Feature Extraction Technique. Knowl. Inf. Syst. 3(3): 374-387 (2001)- 2000
[j10]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Siddhartha Bhattacharyya: Fault tolerant permutation mapping in multistage interconnection network. Journal of Systems Architecture 46(3): 297-300 (2000)
[j9]Ujjwal Maulik, Sanghamitra Bandyopadhyay: Genetic algorithm-based clustering technique. Pattern Recognition 33(9): 1455-1465 (2000)
[j8]Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal: VGA-Classifier: design and applications. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(6): 890-895 (2000)
1990 – 1999
- 1999
[j7]Sanghamitra Bandyopadhyay, Sankar K. Pal: Relation Between VGA-classifier and MLP : Determination of Network Architecture. Fundam. Inform. 37(1-2): 177-199 (1999)- 1998
[j6]Sanghamitra Bandyopadhyay, Sankar K. Pal, Ujjwal Maulik: Incorporating Chromosome Differentaition in Genetic Algorithms. Inf. Sci. 104(3-4): 293-319 (1998)
[j5]Sanghamitra Bandyopadhyay, Sankar K. Pal, C. A. Murthy: Simulated Annealing Based Pattern Classification. Inf. Sci. 109(1-4): 165-184 (1998)
[j4]Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal: Pattern classification using genetic algorithms: Determination of H. Pattern Recognition Letters 19(13): 1171-1181 (1998)
[j3]Sankar K. Pal, Sanghamitra Bandyopadhyay, C. A. Murthy: Genetic algorithms for generation of class boundaries. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(6): 816-828 (1998)
[c1]Hillol Kargupta, Sanghamitra Bandyopadhyay: Further Experimentations on the Scalability of the GEMGA. PPSN 1998: 315-324- 1997
[j2]Sanghamitra Bandyopadhyay, Sankar K. Pal: Pattern classification with genetic algorithms: Incorporation of chromosome differentiation. Pattern Recognition Letters 18(2): 119-131 (1997)- 1995
[j1]Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal: Pattern classification with genetic algorithms. Pattern Recognition Letters 16(8): 801-808 (1995)
Coauthor Index
[j77] [j75] [j74] [j72] [c52] [j69] [j68] [j66] [c51] [c50] [c48] [c47] [b1] [j62] [j60] [c46] [c45] [j56] [j52] [c44] [c43] [c42] [c41] [c40] [c39] [j48] [j42] [j37] [j36] [c38] [c37] [c36] [c35] [c33] [j32] [j30] [c31] [c30] [j28] [j25] [c20] [p2] [p1] [e2] [j24] [c15] [c14] [c12] [j22] [j21] [j18] [j17] [c7] [c5] [j16] [j15] [j14] [j13] [c4] [c3] [c2] [j12] [j11] [j10] [j9] [j6]
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last updated on 2013-10-02 11:15 CEST by the dblp team



