S. Saha, S. Ray, S. Bandyopadhyay, Integrating Two Deep Learning Models to Identify
Gene Signatures in Head and Neck Cancer from MultiOmics Data , Applied Smart Health
Care Informatics: A Computational Intelligence Perspective, John Wiley & Sons, Ltd, pp.
67-81, 2022.
S. Dawn, M. Das and S. Bandyopadhyay, Graph Representation Learning for Protein Clas
si cation , Arti cial Intelligence Technologies for Computational Biology, R. K. Rout, S.
Umer, S. Sheikh and A. L. Sangal (eds.), Taylor and Francis Group, 2021 (accepted).
M. Pal and S. Bandyopadhyay, Occupant Actions Selection Strategies Based on Pareto
Optimal Schedules and Daily Schedule for Energy Management in Buildings , Towards En
ergy Smart Homes Algorithms, Technologies, and Applications, S. Ploix, M. Amayri and N.
Bouguila (eds.), Springer, pp. 249-270, 2021.
S. Saha and S. Bandyopadhyay, Integration of Two Deep Learning Models for Identifying
Gene Signature in Oral Cancer from Multi-omics Data Analysis , Applied Smart Health
Care Informatics: A Computational Intelligence Perspective, John Wiley & Sons, Ltd., UK
(accepted).
M Pal and S Bandyopadhyay, "Multi-modality of Occupants Actions for Multi-Objective
Building Energy Management , Intelligence Enabled Research, pp. 11-19, Springer, 2020.
S. Bandyopadhyay and M. Bhattacharyya, "Involvement of MicroRNAs in Alzheimers
Disease , MicroRNA, CRC Press, pp. 97-112, 2018.
S. Mallik, T. Bhadra, S. Seth, S. Bandyopadhyay and J. Chen, "Multiobjective Optimization
Approaches in Biological Learning System on Microarray Data", Multi-Objective Optimiza
tion: Evolutionary to Hybrid Framework, Springer, Singapore, 2018.
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 Classifier 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. Köppen,
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. Köppen, 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 Scientific, 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 Scientific, 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
Classifier: Application to Remote Sensing Imagery", Lecture Notes in Soft Computing, Image
Processing and Pattern Recognition, World Scientific, A. Ghosh and S. K. Pal (eds.), pp. 65-
94, 2002.
S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Genetic Algorithms, Pattern Classification
and Neural Networks Design", Pattern Recognition: From Classical to Modern Approaches,
World Scientific, 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 Classification : Relationship with Bayes Classifierer," in Genetic Algorithms for Pattern Classification,
(S. K. Pal and P. P. Wang, eds.), pp. 127{144, Boca Raton, U.S.A.: CRC Press, 1996.