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Conferences(published/accepted)
  • M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, "HIV-1 Regulatory Pathway in Hu- man: Studying the Involvement of microRNAs", Proceedings of the First Cellular Networks Conference, Heidelberg, Germany, September 23-26, Poster no. D2, 2010.
  • A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and R. Eils, "Mining Association Rules from HIV-Human Protein Interactions", Proceedings International Conference Systems in Medicine and Biology (ICSMB 2010), pp. 349-353, I.I.T. Kharagpur, India, December 2010.
  • A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and B. Brors, "GOGA: GO-driven Ge- netic Algorithm-based Fuzzy Clustering of Gene Expression Data", Proceedings International Conference Systems in Medicine and Biology (ICSMB 2010), pp. 234-239, I.I.T. Kharagpur, India, December 2010.
  • M. Bhattacharyya and S. Bandyopadhyay, "Computational Discovery of Different Categories of Human Oncogenic MicroRNAs", Proceedings of the First IFIP International Conference on Bioinformatics, Surat, India, March 25-28, no. 94, 2010.
  • S. Sengupta, S. Bandyopadhyay, U. Maulik and R. Baragona, "An Evolutionary Computing Approach to De Novo Ligand Design", Proceedings of the National Conference on Com- puter Vision, Pattern Recognition, Image Processing and Graphics, Jaipur, India, pp. 83-88, January 15-17, 2010.
  • S. Saha and S. Bandyopadhyay,"A New Measure of Stability of Clustering Solutions: Ap- plication to Data Clustering", Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS), Klagenfurt, Austria, pp. 181-186, 2009.
  • M. Bhattacharyya and S. Bandyopadhyay, "Mining the Largest Quasi-clique in Human Protein Interactome", Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS), Klagenfurt, Austria, pp. 194-199, September, 2009.
  • S. Bandyopadhyay, R. Baragona and U. Maulik, "Clusters of multivariate time series", Pa- per Number E027, p. 88, Third International Conference on Computational and Financial Econometrics (CFE 09), 2009 (http://www.dcs.bbk.ac.uk/cfe09/).
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Refining Genetic Algorithm based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification", Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Proc. EvoBIO 2009, Tubingen, Germany, Lecture Notes in Computer Science; Vol. 5483, pp. 191-202, Springer-Verlag, April 2009.
  • A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, "Analysis of Microarray Data using Multiobjective Variable String Length Genetic Fuzzy Clustering," IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 1313-1319, Trondheim, Norway, May 2009.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble", IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 255-261, Trondheim, Nor- way, May 2009.
  • M. Bhattacharyya and S. Bandyopadhyay, "Integration of Co-expression Networks for Gene Clustering", Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 355- 358, Kolkata, India, 2009.
  • S. Saha and S. Bandyopadhyay, "A Validity Index Based on Connectivity", Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 91-94, Kolkata, India, 2009.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Multi-objective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmen- tation", Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 236-239, Kolkata, India, 2009.
  • S. Saha and S. Bandyopadhyay, "Application of a New Line Symmetry Distance Based Genetic Clustering Technique for Automatic MR Brain Image Segmentation', Proceedings of the International Conference on IEEE TENCON, Hyderabad, 2008 DOI: 10.1109/TEN- CON.2008.4766610.
  • S. Saha and S. Bandyopadhyay, "Unsupervised Pixel Classification in Satellite Imagery Using a New Multiobjective Symmetry Based Clustering Approach", Proceedings of the International Conference on IEEE TENCON, Hyderabad, 2008, DOI: 10.1109/TENCON.2008.4766561.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Improving Multi-objective Clustering through Support Vector Machine: Application to Gene Expression Data", Proceedings of the International Conference on IEEE TENCON, Hyderabad, doi 10.1109/TEN- CON.2008.4766630, 2008.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Evolving Coherent and Non-trivial Biclusters from Gene Expression Data: An Evolutionary Approach", Proceedings of the International Conference on IEEE TENCON, doi: 10.1109/TENCON.2008.4766737, Hyderabad, 2008.
  • M. Bhattacharyya and S. Bandyopadhyay, "A Combinatorial Counterpart of the Maximum Quasi-clique Problem", Proceedings of the International Conference on Discrete Mathematics, Algebra and their Applications (DIMA), Minsk, Belarus, October 19-22, pp. 129-130, 2009.
  • S. Bandyopadhyay and R. Mitra, "TSmiRnonTar: A Systematic Identification of Tissue Specific miRNA Non-Targets", RECOMB (poster B27), Tucson AZ, USA, May 18-21, 2009.
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    Adress : Machine Intelligence Unit
    Indian Statistical Institute
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