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  • S. Bandyopadhyay and U. Maulik, "Data Mining and Knowledge Discovery Methods with Case Examples", Basics of Bioinformatics, R. Jiang, X. Zhang and M. Q. Zhang (eds.), Springer, pp. 243-270, 2013.
  • M. Banerjee, S. Bandyopadhyay and S. K. Pal, "A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance", Rough Sets and Intelligent Systems, Andrzej Skowron, Zbigniew Suraj (Eds.), Springer, vol. 2, pp. 79-92, 2013.
  • M. Bhattacharyya and S. Bandyopadhyay, "Bounds on Quasi-completeness", Combinatorial Algorithms, S. Arumugam and W. F. Smyth (Eds.), Springer Lecture Notes in Computer Science 7643, pp. 1-5, 2012, DOI: 10.1007/978-3-642-35926-2 1 (ISBN: 978-3-642-35925-5).
  • S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, "Soft Computing and its Applications", Kansei Engineering and Soft Computing: Theory and Practice, Y. Dai, B. Chakraborty and M. Shi (Eds.), IGI Global, USA, pp. 1-30, 2011.
  • K. Mondal, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and N. Pasquier, "MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking," Computational Intelligence Methods for Bioinformatics and Biostatistics, R. Rizzo and P. Lisboa (eds.), Springer Berlin/Heidelberg, pp. 174-187, vol. 6685, LNCS, vol. 6685, 2011.
  • A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Identifying Potential Gene Markers Using SVM Classi er Ensemble", Computational Intelligence and Pattern Recognition in Biological Informatics, U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.), John Wiley & Sons, USA, pp. 259-276, 2010.
  • M. Bhattacharyya and S. Bandyopadhyay, "Analyzing Topological Properties of Proteinprotein Interaction Networks: A Perspective towards Systems Biology", Computational In- telligence and Pattern Recognition in Biological Informatics, U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.), John Wiley & Sons, USA, pp. 349-368, 2010 (ISBN: 978-0-470- 58159-9).
  • S. Sengupta and S. Bandyopadhyay, "In Silico Drug Design Using a Computational Intelligence Technique", Computational Intelligence and Pattern Analysis in Biology Informatics, U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.), John Wiley & Sons, USA, pp. 237-256, 2010 (ISBN: 978-0-470-58159-9).
  • S. Bandyopadhyay and S. Saha, "A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering", Advances in Neuro-Information Processing, M. Koeppen, N. Kasabov, G. Coghill (Eds.), Springer LNCS 5507, pp. 543-550, 2009.
  • S. Bandyopadhyay and M. Bhattacharyya, "A Neuro-GA Approach for the Maximum Fuzzy Clique Problem", Advances in Neuro-Information Processing, M. Koeppen, N. Kasabov, G. Coghill (Eds.), Springer LNCS 5506, pp. 605-612, 2009.
  • S. Saha and S. Bandyopadhyay, "A Validity Index Based on Cluster Symmetry," Progress in Pattern Recognition, Sameer Singh and Maneesha Singh (eds.), Springer (Advances in Pattern Recognition series), pp. 54-63, 2007.
  • S. Bandyopadhyay, S. Santra, U. Maulik and H. Muehlenbein, "In Silico Design of Ligands Using Properties of Target Active Sites", Analysis of Biological Data: A Soft Computing Approach, World Scienti c, pp. 184-201, 2007.
  • A. Mukhopadhyay and U. Maulik and S. Bandyopadhyay, "Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data", Analysis of Biological Data: A Soft Computing Approach, World Scienti c, 304-328, 2007.
  • A. Mukhopadhyay, U. Biswas, M. K. Naskar, U. Maulik and S. Bandyopadhyay "Minimization of SADMs in Unidirectional SONET/WDM Rings using Genetic Algorithm", Handbook of Biologically Inspired Algorithms, CRC Press, A. Zomaya and S. Olariu (eds.), 209-218, 2006.
  • U. Maulik, S. Bandyopadhyay and S. K. Das, "Medical Imaging and Diagnosis Using Genetic Algorithms," Handbook of Biologically Inspired Algorithms, CRC Press, A. Zomaya and S. Olariu (eds.), pp. 235-252, 2006.
  • S. Bandyopadhyay and U. Maulik "Knowledge Discovery and Data Mining", Advanced Meth- ods for Knowledge Discovery from Complex Data, Springer, London, S. Bandyopadhyay, U. Maulik, L. B. Holder and D. J. Cook (eds.), 3-42, 2005.
  • S. Bandyopadhyay, A. Srivastava and S. K. Pal, "Multi-objective Variable String Genetic Classi er: Application to Remote Sensing Imagery", Lecture Notes in Soft Computing, Image Processing and Pattern Recognition, World Scienti c, A. Ghosh and S. K. Pal (eds.), pp. 65- 94, 2002.
  • S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Genetic Algorithms, Pattern Classi cation and Neural Networks Design", Pattern Recognition: From Classical to Modern Approaches, World Scienti c, S. K. Pal and A. Pal (eds.), pp. 347-384, 2001.
  • M. Pakhira, U. Maulik and S. Bandyopadhyay, "Simulated Annealing Based Partitional Clustering", Advances in Pattern Recognition and Digital Techniques, (N.R. Pal, A. K. De and J. Das eds.), Narosa, New Delhi, pp. 397-400, 1999.
  • H. Kargupta and S. Bandyopadhyay, "Further Experimentations on the Scalability of the GEMGA," Proceedings of the V Parallel Problem Solving from Nature (PPSN V), Amsterdam, The Netherlands, Springer-Verlag, Lecture Notes in Computer Science, T. Baeck, A. Eiben, M. Schoenauer, H. Schwefel (Eds.), vol. 1498, 315-324, 1998.
  • C. A. Murthy, S. Bandyopadhyay and S. K. Pal, "Genetic Algorithm Based Pattern Classi - cation : Relationship with Bayes Classi er," in Genetic Algorithms for Pattern Classi cation, (S. K. Pal and P. P. Wang, eds.), pp. 127{144, Boca Raton, U.S.A.: CRC Press, 1996.
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