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Conferences(published/accepted)
  • M. Bhattacharyya, S. Bhattacharya, and S. Bandyopadhyay, "Estimating Completeness in Streaming Graphs", Proceedings of the Multiomodal Social Data Mining Workshop of the EDBT/ICDT 2014 Joint Conference, K. S. Candan, S Amer-Yahia, N. Schweikardt, V. Christophides, V. Leroy, (eds.) Athens, Greece, pp. 294-299, March 28, 2014.
  • A. Chakaraborty and S. Bandyopadhyay, "Clustering of Web Sessions by FOGSAA", IEEE Conference on Recent Advances in Computational Systems (RAICS), Trivandrum, Kerala, pp. 282 - 287, December 2013.
  • P. Chatterjee, M. Bhattacharyya, S. Bandyopadhyay, and D. Roy, "Study of MicroRNA Networks in Parkinson's disease", Asian Congress on Biotechnology, New Delhi, December 15-19, 2013.
  • S. Ray, S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, "Incorporating Fuzzy Semantic Similarity Measure in Detecting Human Protein Complexes in PPI Network: A Multiobjec- tive Approach" FUZZ-IEEE, Hyderabad, pp. 1-8, July 7-10, 2013 (doi: 10.1109/FUZZ- IEEE.2013.6622483).
  • M. Bhattacharyya and S. Bandyopadhyay, "Prioritization of Clusters for Post-genomic Anal- ysis", In Proceedings of the First International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA), Kalyani, India, September 27-28, Pro- cedia Technology 10, pp. 3-12, Elsevier, 2013, DOI: 10.1016/j.protcy.2013.12.330 (ISSN: 2212-0173).
  • S. Mallik, U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, "Association Rule Extrac- tion from Genome-wide DNA Methylation and Gene Expression Data: A Biclustering-based Technique", National Seminar on Soft Computing : A Panorama of Possibilities (SCAPP 2013), ISBN: 978-81-31703-83-6, Bhubaneswar, India, June 1-2, 2013.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Hybrid Evolutionary Multiobjective Fuzzy C-Medoids Clustering of Categorical Data", 013 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA), IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, pp. 7-12, April 16, 2013.
  • S. Mallik, A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Integrated Analysis of Gene Expression and Genome-Wide DNA Methylation for Tumor Prediction: An Association Rule Mining-Based Approach", 2013 IEEE Symposium on Computational Intelligence in Bioin- formatics and Computational Biology (CIBCB), IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, pp. 120-127, April 16, 2013.
  • A. Bhar, M. Haubrock, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, E. Wingender, "δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Ex- pression Data", Workshop on Algorithms in Bioinformatics (WABI), Lecture Notes in Com- puter Science (LNCS), B. Raphael and J. Tang (eds.), Springer, Heidelberg, vol. 7534, pp. 165-177, 2012.
  • K. C. Mondal, N. Pasquier, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, "A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis", Proceedings of the 8th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM), Springer-Verlag, Berlin, pp. 86-101, 2012.
  • M. Bhattacharyya and S. Bandyopadhyay, "Bounds on Quasi-completeness", In Proceedings of the 23rd International Workshop on Combinatorial Algorithms (IWOCA), Tamil Nadu, India, July 19-21, Springer LNCS, 2012.
  • D. Sengupta, U. Maulik and S. Bandyopadhyay, "Score Based Aggregation of microRNA Target Orderings", 8th International Symposium on Bioinformatics Research and Applica- tions (ISBRA), LNCS, L. Bleris, M. Ion, R. Schwartz and J. Wang (eds.), vol. 7292, pp. 237-248, doi: 10.1007/978-3-642-30191-9 22, 2012.
  • T. Bhadra, S. Bandyopadhyay and U. Maulik, "Differential Evolution Based Optimization of SVM Parameters for Meta Classifier Design", 2nd International Conference on Computer, Communication, Control and Information Technology, Procedia Technology, vol. 4, pp. 50- 57, 2012.
  • R. Mallik, N. Sarda, H. Kargupta and S. Bandyopadhyay, "Distributed Data Mining for Sus- tainable Smart Grids", KDD 2011 Workshop on Data Mining Applications in Sustainability, San Diego, CA, Aug 21, 2011 (oral presentation).
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Discovery of MicroRNA Markers: An SVM-based Multiobjective Feature Selection Approach", Proceedings of the Eighth Annual IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Bi- ology (CIBCB 2011) (IEEE Symposium Series on Computational Intelligence - SSCI 2011), Paris, France, doi: 10.1109/CIBCB.2011.5948473, April 2011.
  • M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, "Finding Bicliques in Digraphs: Appli- cation into Viral-host Protein Interactome," International Conference on Pattern Recognition and Machine Intelligence (PReMI'11), Moscow, Russia, Springer LNCS 6744, pp. 412-417, June 27-July 01, 2011.
  • D. Sengupta, I. Aich, U. Maulik and S. Bandyopadhyay, "A fast stochastic score based rank fusion method: Application to miRNA target prediction", ISMB/ECCB, Vienna, 2011 (poster presentation).
  • D. Sengupta, U. Maulik and S. Bandyopadhyay, "Entropy Steered Kendall's Tau Measure for a Fair Rank Aggregation", Proceedings of the 2nd National Conference on Emerging Trends and Applications in Computer Science (NCETACS-2011), ISBN: 978-1-4244-9578-8, IEEE Xplore, doi: 10.1109/NCETACS.2011.5751397, Shillong, February 2011.
  • I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Consensus Multiobjective Dif- ferential Crisp Clustering for Categorical Data Analysis", In Proc. 7th Int. Conf. RSCTS, pp. 30-39, Warsaw, Poland, June 2010.
  • I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Real-Coded Differential Crisp Clustering for MRI Brain Image Segmentation, In Proc. Int. WCCI Conf. IEEE Congress on Evolutionary Computation, pp. 3912-3919, Barcelona, Spain, July 2010.
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