Conference

A. Mukhopadhyay, J. K. Sing, U. Biswas and M. K. Naskar, “Distributed Approaches for Dynamic Traffic Grooming in WDM Optical Networks”, In Proc. 2nd Int. Conf. CODEC 2004, Kolkata, India, p. P-55, January 2004.

A. Mukhopadhyay, J. K. Sing, U. Biswas and M. K. Naskar, “Improved Distributed Approaches for Dynamic Traffic Grooming in WDM Optical Networks”, In Proc. Conf. DPN 2004, IIT Kharagpur, India, pp. 92-96, June 2004.

A. Mukhopadhyay, U. Biswas and M. K. Naskar, “Distributed Routing and Wavelength Assignment Algorithms for Dynamic WDM All-optical Networks”, In Proc. 7th Int. Conf. PHOTONICS 2004, Cochin, India, p. NET P2, December 2004.

A. Mukhopadhyay, U. Biswas and M. K. Naskar, “A Genetic Algorithm for Traffic Grooming in Uni- directional SONET/WDM Rings”, In Proc. IEEE INDICON 2004, IIT Kharagpur, India, pp. 252-255, December 2004.

U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Efficient Clustering with Multi-class Point Identification”, In Proc. 8th Int. Conf. Humans and Computers, University of Aizu, Japan, pp. 172-177, Aug-Sep 2005.

A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Clustering using Multiobjective Genetic Algorithm and its Application to Image Segmentation”, In Proc. Int. Conf. IEEE SMC 2006, Taipei, Taiwan, Vol. 3, pp. 2678-2683, October, 2006.

A. Mukhopadhyay, R. K. Roy and U. Maulik, “Multiobjective Fuzzy Clustering: An Evolutionary Approach”, In Proc. Nat. Conf. RTIC 2006, Kalyani, India, pp. 139-145, November 2006.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data”, In Proc. 9th Int. Conf. CIT 2006, Bhubaneswar, India, pp. 11-14, December 2006.

A. Mukhopadhyay, R. K. Roy, U. Maulik and S. Bandyopadhyay, “Multiobjective Genetic Fuzzy Clustering of Microarray Data”, In Proc. Int. Conf. CODEC 2006, Kolkata, India, pp. 14-17, December 2006.

A. Mukhopadhyay and U. Maulik, “Multiobjective Approach to Categorical Data Clustering”, In Proc. IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, pp. 1296-1303, September 2007.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Multiobjective Genetic Fuzzy Clustering of Categorical Attributes”, In Proc. 10th Int. Conf. ICIT 2007, Rourkela, India, pp. 74-79, December 2007.

U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “Traffic Grooming in Unidirectional WDM Optical Ring Networks: A Multiobjective genetic Approach”, In Proc. XXXIII OSI Symposium on Optics and Optoelectronics, Tezpur, India, pp. 15-18, December 2007.

U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “A Genetic Approach for Lightpath Protection through Topology Mapping in a WDM 0ptical Network”, In Proc. XXXIII OSI Symposium on Optics and Optoelectronics, Tezpur, India, pp. 19-21, December 2007.

A. Mukhopadhyay and I. Saha, “Simulated Annealing based Approach to Categorical Data Clustering”, In Proc. Int. Conf. ICETAETS 2008, Rajkot, India, pp. 2301-2307, January 2008.

U. Maulik, A. Mukhopadhyay, S. Bandyopadhyay, M. Q. Zhang and X. Zhang, “Multiobjective Fuzzy Biclustering in Microarray Data: Method and a New Performance Measure”, In Proc. Int. Conf. WCCI 2008 (CEC 2008), Hong Kong, pp. 1536-1543, June 2008.

A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Combining Multiobjective Fuzzy Clustering and Probabilistic ANN Classifier for Unsupervised Pattern Classification: Application to Satellite Image Segmentation”, In Proc. Int. Conf. WCCI 2008 (CEC 2008), Hong Kong, pp. 877-883, June 2008.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Improving Multi-objective Clustering through Support Vector Machine: Application to Gene Expression Data”, In Proc. IEEE TENCON-08, Hyderabad, India, November 2008.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Evolving Coherent and Non-trivial Biclusters from Gene Expression Data: An Evolutionary Approach”, In Proc. IEEE TENCON-08, Hyderabad, India, November 2008.

I. Saha and A. Mukhopadhyay, “Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering”, In Proc. Int. Conf. IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, India, December 2008.

I. Saha and A. Mukhopadhyay, “Fuzzy Clustering using Optimization Tool with Application to Categorical Data”, In Proc. Int. Conf. PICETE, Nasik, India, December 2008.

I. Saha, A. Mukhopadhyay and U. Maulik, “Unsupervised Pattern Classification for Categorical Data: A Two Stage Fuzzy Clustering Approach”, In Proc. Nat. Conf. CoCoSYS, Bardwan, West Bengal, India, pp. 125-130, January 2009.

A. Mukhopadhyay and U. Maulik, “Unsupervised Satellite Image Segmentation by Combining SA based Fuzzy Clustering with Support Vector Machine”, In Proc. Int. Conf. ICAPR 2009, Kolkata, India, pp. 381-384, February 2009.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Multi-objective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation”, In Proc. Int. Conf. ICAPR 2009, Kolkata, India, pp. 236-239, February 2009.

I. Saha, A. Mukhopadhyay and U. Maulik, “Effectiveness of Two Stage Clustering Technique for Categorical Data”, In Proc. Int. Conf. C3IT, Hooghly, West Bengal, India, pp. 585-592, February 2009.

I. Saha, A. Mukhopadhyay and U. Maulik, “Combining Fuzzy Clustering with ANN Classifier for Categorical Data”, In Proc. IEEE Int. Advance Computing Conf. (IACC-2009), Patiala, India, pp. 44-49, March 2009.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Refining Genetic Algorithm based Fuzzy Cluster- ing through Supervised Learning for Unsupervised Cancer Classification”, In Proc. EvoBIO 2009, Tubingen, Germany, Lecture Notes in Computer Science, Vol. 5483, pp. 191-202, April 2009.

B. B. Pal, S. Gupta, A. Mukhopadhyay and P. Biswas, “An Application of Genetic Algorithm Method for Solving Patrol Manpower Deployment Problems through Fuzzy Goal Programming in Traffic Management System: A Case Study”, In Proc. International Conference on Operations Research applications in Engineering and Management, Anna University, Tiruchirappalli, India, pp. 253-283, May 2009.

A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Analysis of Microarray Data using Multiobjective Variable String Length Genetic Fuzzy Clustering”, In Proc. IEEE Congress on Evolutionary Computation (CEC 2009), Norway, pp. 1313-1319, May 2009.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Unsupervised Cancer Classification through SVM- boosted Multiobjective Fuzzy Clustering with Majority Voting Ensemble”, In Proc. IEEE Congress on Evolutionary Computation 2009 (CEC 2009), Norway, pp. 255-261, May 2009.

B. B. Pal, S. Gupta, P. Biswas and A. Mukhopadhyay, “A Goal Programming Method for Solving Academic Personnel Planning Problems with Interval-Valued Resource Goals in University Management System using Genetic Algorithm”, In Proc. International Conference on Rough Sets, Fuzzy Sets and Soft Computing, Tripura University, India, November 2009.

B. B. Pal, P. Biswas, S. Sen and A. Mukhopadhyay, “A Genetic Algorithm Based Goal Programming Approach to Bilevel Fractional Programming Problems with Interval Parameter Sets” In Proc. International Conference on Management and Social Welfare, IISWBM, Kolkata, India, December 2009.

B. B. Pal, P. Biswas and A. Mukhopadhyay, “An Application of Genetic Algorithm to Chance Constrained Fuzzy Goal Programming Model of Long-Term Land-Use Planning in Agricultural System: A Case Study”, In Proc. International Conference on Operations and Management Sciences (ICOMS-2010), Institute of Management Technology, Nagpur, India, February, 2010.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Discovering Coherent Biclusters from Microarray Gene Expression Data”, In Proc. International Conference on Artificial Intelligence and Applications (AIA 2010), Innsbruck, Austria, February 2010.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Simultaneous Informative Gene Selection and Clustering through Multiobjective Optimization”, In Proc. IEEE Congress on Evolutionary Computation 2010 (CEC 2010), Barcelona, Spain, pp. 4110-4117, July 2010.

K. C. Mondal, A. Mukhopadhyay, U. Maulik, S. Bandhyapadhyay and N. Pasquier, “Simultaneous Clustering and Gene Ranking: A Multiobjective Genetic Approach”, In Proc. Seventh International meeting on Computational Intelligence methods for BioInformatics and Biostatistics (CIBB 2010), Palermo, Italy, September 2010.

P. Biswas, A. Mukhopadhyay and D. Chakraborti, “A fuzzy goal programming procedure for solving multiobjective load flow problems via genetic algorithm”, In Proc. International Conference on Modelling, Optimisation and Computing (ICMOC 2010), N.I.T., Durgapur, India, October 2010.

A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and B. Brors, “GOGA: GO-driven Genetic Algorithm- based Fuzzy Clustering of Gene Expression Data”, In Proc. Int. Conf. Systems in Medicine and Biology (ICSMB 2010), pp. 234-239, I.I.T., Kharagpur, India, December 2010.

A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and R. Eils, “Mining Association Rules from HIV- Human Protein Interactions”, In Proc. Int. Conf. Systems in Medicine and Biology (ICSMB 2010), pp. 349-353, I.I.T., Kharagpur, India, December 2010.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Discovery of MicroRNA Markers: An SVM-based Multiobjective Feature Selection Approach”, In Proc. the eighth annual IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2011) (IEEE Symposium Series on Computational Intelligence - SSCI 2011), Paris, France, April 2011.

L. Dey and A. Mukhopadhyay, “Microarray Gene Expression Data Clustering using PSO based K-means Algorithm”, In Proc. Int. Conf. Advanced Computing, Communication and Networks (ICACCN-2011), pp. 587-591, Chandigarh, India, June 2011.

A. Mukhopadhyay, M. De and U. Maulik, “Selection of GO-based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions”, In Proc. Int Conf. SEMCCO - 2011, Visakhapatnam, India, (LNCS Vol. 7077, pp. 55-62), December 2011.

D. Chakraborti, P. Biswas and A. Mukhopadhyay, “Bio-inspired Computational Technique to Multiobjective Optimal Planning of Electric Power Generation and Dispatch”, In Proc. International Conference on Communication and Industrial Application (ICCIA 2011), Kolkata, India, December 2011.

S. Poddar and A. Mukhopadhyay, “CLUSTER: A Matlab GUI Package for Data Clustering”, In Proc. Int. Conf. MATLAB Applications in Engineering and Technology (ICMAET-2012), pp. 34-40, Bangalore, India, January 2012.

K. C. Mondal, N. Pasquier, A. Mukhopadhyay, C. da Costa Pereira, U. Maulik and A. G. B. Tettamanzi, “Prediction of Protein Interactions on HIV-1–Human PPI Data Using a Novel Closure-Based Integrated Approach”, Int. Conf. Bioinformatics Models, Methods and Applications (BIOINFORMATICS-2012), Vilamoura, Portugal, April 2012.

S. Ray, M. De and A. Mukhopadhyay, “A Multiobjective GO based Approach to Protein Complex Detection”, In Proc. 2nd International Conference on Computer, Communication, Control and Information Technology (C3IT-2012), Volume 4, pp. 555560 (Procedia Technology, Elsevier), Hooghly, West Bengal, India, February 2012.

B. B. Pal, P. Biswas and A. Mukhopadhyay, “Using Genetic Algorithm to Goal Programming Model of Solving Economic-Environmental Electric Power Generation Problem with Interval-Valued Target Goals”, In Proc. International Conference on Mathematical Modelling and Scientific Computation (ICMMSC 2012), Gandhigram, India, 2012. (CCIS, Vol. 283, pp. 156-169, Springer, Heidelberg).

M. Mandal and A. Mukhopadhyay, “A Multiobjective PSO-based Approach for Identifying Non-redundant Gene Markers from Microarray Gene Expression Data”, In Proc. International Conference on Computing, Communication and Applications (ICCCA-2012), Dindigul, India, February 2012.

K. C. Mondal, N. Pasquier, A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A New Approach for Association Rule Mining and Bi-clustering using Formal Concept Analysis”, In Proc. International Conference on Machine Learning and Data Mining (MLDM-2012), pp. 86-101, Berlin, Germany, July 2012.

A. Bhar, M. Haubrock, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and E. Wingender, “δ- TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data”, In Proc. 12th Workshop on Algorithms in Bioinformatics (WABI-2012), pp. 165-172, Ljubljana, Slovenia, September 2012.

S. Ray, A. Mukhopadhyay and U. Maulik, “Predicting Annotated HIV-1Human PPIs using a Biclustering Approach to Association Rule Mining”, In Proc. EAIT-2012, pp. 28-31, Kolkata, India, November 2012.

M. Mandal and A. Mukhopadhyay, “Unsupervised Non-redundant Feature Selection: A Graph-theoretic Approach”, In Proc. FICTA-2012, Bhubaneswar, India, December 2012.

A. Mukhopadhyay and M. Mandal, “A Hybrid Multiobjective Particle Swarm Optimization Approach for Non-redundant Gene Marker Selection”, In Proc. BIC-TA-2012, pp. 205-216, Gwalior, India, December 2012.

M. Mandal and A. Mukhopadhyay, “Identifying Most Relevant Non-redundant Gene Markers From Gene Expression Data Using PSO-based Graph -Theoretic Approach”, In Proc. PDGC-2012, Solan, India, December 2012.

S. Atta and A. Mukhopadhyay, “Power-Aware Traffic Grooming in WDM Optical Mesh Networks for Bandwidth Wastage Minimization: A Genetic Algorithm-based Approach”, In Proc. NCCCS-2012, pp. 115-119, Durgapur, India, November 2012.

B. Barman and A. Mukhopadhyay, “Computational Modeling of Metabolic Pathway through Construction of GRN within Clusters of Yeast Cell Cycle Data”, In Proc. CSI-2012, Kolkata, India, pp. 40-44, November- December 2012.

B. B. Pal, A. Mukhopadhyay, P. Biswas and S. Mukherjee, “Using Fuzzy Goal Programming to Solve Electric Power Generation and Dispatch Problem via Genetic Algorithm”, In Proc. CSI-2012, Kolkata, India, pp. 291-297, November-December 2012.

A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Hybrid Evolutionary Multiobjective Fuzzy C-Medoids Clustering of Categorical Data”, In Proc. IEEE HIMA-2013 (Part of IEEE SSCI-2013), pp. 7-12, Singapore, April 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”, In Proc. IEEE CIBCB-2013 (Part of IEEE SSCI-2013), Singapore, April 2013.

M. Mandal and A. Mukhopadhyay, “A PSO-based rank aggregation algorithm for ranking genes from microarray data”, In Proc. Panhellenic Conference on Informatics, pp. 166-173, Thessaloniki, Greece, 2013.

S. Ray, S. Bandyopadhyay, A. Mukhopadhyay, U. Maulik, “Incorporating Fuzzy Semantic Similarity Measure in Detecting Human Protein Complexes in PPI Network: A Multiobjective Approach”, In Proc. FuzzIEEE-2013, Hyderabad, India, July 2013.

M. Mandal, A. Mukhopadhyay, U. Maulik, “Fuzzy Rule-based Classifier for Microarray Gene Expression Data by using a Multiobjective PSO-based Approach”, In Proc. FuzzIEEE-2013, Hyderabad, India, July 2013.

M. Mandal and A. Mukhopadhyay, “An Improved Minimum Redundancy Maximum Relevance Approach for Feature Selection in Gene Expression Data”, In Proc. International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA 2013), Procedia Technology, Vol. 10, pp. 20-27, Elsevier, Kalyani, India, September 2013.

S. Chatterjee and A. Mukhopadhyay, “Clustering Ensemble: A Multiobjective Genetic Algorithm based Approach”, In Proc. International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA 2013), Procedia Technology, Vol. 10, pp. 443-449, Elsevier, Kalyani, India, September 2013.

B. Barman and A. Mukhopadhyay, “Construction of GA-optimized Radial Basis Neural Network from HIV-1 Vpr Mutant Microarray Gene Expression Data”, In Proc. International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA 2013), Procedia Technology, Vol. 10, pp. 450-456, Elsevier, Kalyani, India, September 2013.

B. B. Pal, P. Biswas and A. Mukhopadhyay, “GA based FGP Approach for Optimal Reactive Power Dispatch”, In Proc. International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA 2013), Procedia Technology, Vol. 10, pp. 464-473, Elsevier, Kalyani, India, September 2013.

B. Barman and A. Mukhopadhyay, “Detection of Differentially Expressed Genes in Wild Type HIV-1 Vpr and Two HIV-1 Mutant Vprs”, In Proc. Int. Nat. Conf. FICTA-2014, AISC (Springer), Vol. 327, pp. 597-604, Bhubaneswar, India, November 2014.

M. Mandal and A. Mukhopadhyay, “Predicting Protein Subcellular Localization: A Multiobjective PSO-based Feature Subset Selection from Amino Acid Sequence of Protein”, In Proc. ICIT-2014, Bhubaneswar, India, December 2014.

B. Barman and A. Mukhopadhyay, “Studying Gene Ontological Significance of Differentially Expressed Genes in Human Pancreatic Stellate Cell”, In Proc. CSI-2014, AISC (Springer), Vol. 337, pp. 11-17, Hyderabad, India, December 2014.

S. Ray, S. Biswas, A. Mukhopadhyay and S. Bandyopadhyay, Detecting Perturbation in Co-expression Modules Associated with Different Stages of HIV-1 Progression: A Multi-objective Evolutionary Approach”, In Proc. EAIT-2014, Fourth International Conference on Emerging Applications of Information Technology, Kolkata, India, December 19 - 21, 2014.

M. Mandal, S. Maity and A. Mukhopadhyay, “Partial Rank Aggregation using Multiobjective Genetic Algorithm: Application in Ranking Genes”, In Proc. of Int. Conf. Advances in Pattern Recognition (ICAPR-2015), Kolkata, India, January 2015.

P. Biswas, B. Barman and A. Mukhopadhyay, “Construction of Co-expression and Co-regulation Network with Differentially Expressed Genes in Bone Marrow Stem Cell Microarray Data”, In Proc. 2nd Int. Conf. Information Systems Design and Intelligent Applications (INDIA-2015), AISC (Springer), Vol. 339, pp. 761-769, Kalyani, India, January 2015.

S. Chatterjee, E. Kundu and A. Mukhopadhyay, “A Markov Chain based Ensemble Method for Crowd- sourced Clustering”, In WiP Track of The Fourth AAAI Conference on Human Computation and Crowd- sourcing (HCOMP-2016), Austin, TX, USA, October-November 2016.

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Consensus of Dependent Opinions”, In WiP Track of The Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2016), Austin, TX, USA, October-November 2016.

A. Mukhopadhyay, “Interactive Approach to Multiobjective Genetic Fuzzy Clustering for Satellite Image Segmentation”, In Proc. 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON-2016), December 2016 (Accepted).

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Smart City Planning with Constrained Crowd Judgment Analysis”, In Proc. The AAAI 2017 Spring Symposium, Tech. Rep. SS-17-01, pp. 16-22, Palo Alto, USA, March 2017.

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Judgment Analysis based on Crowdsourced Opinions”, In Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), San Diego, California, USA, April 19-22, pp. 1439-1444, IEEE Press, 2017.

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Quality Enhancement by Weighted Rank Aggregation of Crowd Opinion”, In Proc. Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Quebec City, Canada, October 24-26, 2017.

S. Chatterjee and A. Mukhopadhyay, “Genetic Algorithm-based Matrix Factorization for Missing Value Prediction”, In Proceedings of the 1st International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA), Springer CCIS, Vol. 776, pp. 504-516, Kolkata, India, March 2017.

Sk. Md. M. Hossain, S. Ray, T. S. Tannee and A. Mukhopadhyay, “Analyzing Prognosis Character- istics of Hepatitis C using a Biclustering Based Approach”, 7th International Conference on Advances in Computing and Communications (ICACC-2017), Procedia Computer Science, Procedia Computer Science, Volume 115, 2017, Pages 282-289, Kochi, India, August 2017.

S. Atta, P. R. S. Mahapatra, and A. Mukhopadhyay, “Deterministic and Randomized Heuristic Algorithms for Uncapacitated Facility Location Problem”, In Proc. FICTA-2017, (Information and Decision Sciences), Springer, pp. 205-216, Bhubaneswar, India, October 2017.

S. Atta, P. R. S. Mahapatra, and A. Mukhopadhyay, “Solving Uncapacitated Facility Location Problem Using Monkey Algorithm”, In Proc. FICTA-2017, (Intelligent Engineering Informatics), Springer, pp. 71- 78, Bhubaneswar, India, October 2017.

A. K. Mallick and A. Mukhopadhyay, “Different Schemes for Improving Fuzzy Clustering through Supervised Learning”, In proc. CICBA-2018, Kalyani, India, July 2018 (In press).

P. Biswas and A. Mukhopadhyay, “Identifying MicroRNA Markers from Expression Data: A Network Analysis Based Approach”, In Proc. Annual Convention of the Computer Society of India (CSI-2018), CCIS, Springer, Singapore, Vol. 836, pp. 270-284, 2018.

D. Whitley, S. Varadarajan, R. Hirsch and A. Mukhopadhyay, “Exploration and Exploitation Without Mutation: Solving the Jump Function in O(n) time”, In Proc. PPSN-2018, Springer LNCS, Vol. 11102, pp. 55-66, Coimbra, Portugal, September 2018.

L. Dey and A. Mukhopadhyay, “A Classification-based Approach to Prediction of Dengue Virus and Human Protein-Protein Interactions using Amino Acid Composition and Conjoint Triad Features”, In Proc. IEEE TENSYMP-2019, Kolkata, India, June 2019.

S. Chatterjee, N. Pasquier and A. Mukhopadhyay, “Multi-objective Clustering Ensemble for Varying Number of Clusters”, In Proc. The 14th International Conference on Signal Image Technology & Internet based Systems (SITIS-2019), pp. 387-395, November 2019.

S. M. M. Hossain, S. Ray and A. Mukhopadhyay, “Identification of Hub Genes and Key Modules in Stomach Adenocarcinoma Using nsNMF-Based Data Integration Technique”, In Proc. 2019 International Conference on Information Technology (ICIT), pp. 331-336, Bhubaneswar, India, 2019.

M. Chakraborty, A. Mukhopadhyay, and U. Maulik, “A Comparative Analysis of Different Regression Models on Predicting the Spread of Covid-19 in India”, In Proc. 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), pp. 519-524. IEEE, 2020.

S. M. M. Hossain, S. Ray, and A. Mukhopadhyay, “Detecting Overlapping Gene Communities during Stomach Adenocarcinoma: A Discrete NMF-based Integrative Approach”, In Proc. 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI), pp. 1-6. IEEE, 2020.

L. Dey, and A. Mukhopadhyay, “Gene Expression-Based Prediction of Lung Cancer-Associated Protein-Protein Interactions”, In Proc. International Conference on Computational Intelligence in Communications and Business Analytics (CICBA-2021), pp. 214-228. Springer, 2021.

P. Biswas, and A. Mukhopadhyay, “Analyzing Gene-Coexpression Patterns for Parkinson’s Disease Using Module Preservation Statistics”, In Proc. International Conference on Emerging Applications of Information Technology (EAIT), pp. 75-85. Springer, 2021.

A. Mukhopadhyay, D. Whitley, and R. Tin´os, “An efficient implementation of iterative partial transcription for the traveling salesman problem”, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 252-260. 2021.