Pattern classification with genetic algorithms. - Sanghamitra Bandyopadhyay; C. A. Murthy; Sankar K. Pal (Pattern Recognit. Lett., 1995)

GA-based pattern classification: theoretical and experimental studies. - Sanghamitra Bandyopadhyay; C. A. Murthy; Sankar K. Pal (ICPR, 1996)

Pattern classification with genetic algorithms: Incorporation of chromosome differentiation. - Sanghamitra Bandyopadhyay; Sankar K. Pal (Pattern Recognit. Lett., 1997)

Further Experimentations on the Scalability of the GEMGA. - Hillol Kargupta; Sanghamitra Bandyopadhyay (PPSN, 1998)

Incorporating Chromosome Differentaition in Genetic Algorithms. - Sanghamitra Bandyopadhyay; Sankar K. Pal; Ujjwal Maulik (Inf. Sci., 1998)

Simulated Annealing Based Pattern Classification. - Sanghamitra Bandyopadhyay; Sankar K. Pal; C. A. Murthy (Inf. Sci., 1998)

Pattern classification using genetic algorithms: Determination of H. - Sanghamitra Bandyopadhyay; C. A. Murthy; Sankar K. Pal (Pattern Recognit. Lett., 1998)

Genetic algorithms for generation of class boundaries. - Sankar K. Pal; Sanghamitra Bandyopadhyay; C. A. Murthy (IEEE Trans. Syst. Man Cybern. Part B, 1998)

Relation Between VGA-classifier and MLP : Determination of Network Architecture. - Sanghamitra Bandyopadhyay; Sankar K. Pal (Fundam. Informaticae, 1999)

Fault tolerant permutation mapping in multistage interconnection network. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Siddhartha Bhattacharyya (J. Syst. Archit., 2000)

Genetic algorithm-based clustering technique. - Ujjwal Maulik; Sanghamitra Bandyopadhyay (Pattern Recognit., 2000)

VGA-Classifier: design and applications. - Sanghamitra Bandyopadhyay; C. A. Murthy; Sankar K. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2000)

Clustering Using Simulated Annealing with Probabilistic Redistribution. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Malay Kumar Pakhira (Int. J. Pattern Recognit. Artif. Intell., 2001)

SAFE: An Efficient Feature Extraction Technique. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; John C. Trinder (Knowl. Inf. Syst., 2001)

Pixel classification using variable string genetic algorithms with chromosome differentiation. - Sanghamitra Bandyopadhyay; Sankar K. Pal (IEEE Trans. Geosci. Remote. Sens., 2001)

Nonparametric genetic clustering: comparison of validity indices. - Sanghamitra Bandyopadhyay; Ujjwal Maulik (IEEE Trans. Syst. Man Cybern. Syst., 2001)

Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Diane J. Cook; Lawrence B. Holder; Yousuf Ajmerwala (FLAIRS, 2002)

Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network. - Supratim Bhattacharya; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ICVGIP, 2002)

Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Malay Kumar Pakhira (ICVGIP, 2002)

An evolutionary technique based on K-Means algorithm for optimal clustering in RN. - Sanghamitra Bandyopadhyay; Ujjwal Maulik (Inf. Sci., 2002)

Performance Evaluation of Some Clustering Algorithms and Validity Indices. - Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Genetic clustering for automatic evolution of clusters and application to image classification. - Sanghamitra Bandyopadhyay; Ujjwal Maulik (Pattern Recognit., 2002)

Efficient prototype reordering in nearest neighbor classification. - Sanghamitra Bandyopadhyay; Ujjwal Maulik (Pattern Recognit., 2002)

Efficient BIST design for sequential machines using FiF-FoF values in machine states. - Samir Roy; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Subhadip Basu; Biplab Kumar Sikdar (ASP-DAC, 2003)

Feature Extraction in Transformed Domain for Protein Superfamily Identification from Amino Acid Sequences. - Sanghamitra Bandyopadhyay (IICAI, 2003)

Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning. - Samir Roy; Sanghamitra Bandyopadhyay; Ujjwal Maulik (IICAI, 2003)

Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification. - Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Trans. Geosci. Remote. Sens., 2003)

New Operators of Genetic Algorithms for Traveling Salesman Problem. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (ICPR (2), 2004)

Neurocomputing for Certain Bioinformatics Tasks. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Pabitra Mitra; Sankar K. Pal (MSRAS, 2004)

An automatic shape independent clustering technique. - Sanghamitra Bandyopadhyay (Pattern Recognit., 2004)

Validity index for crisp and fuzzy clusters. - Malay Kumar Pakhira; Sanghamitra Bandyopadhyay; Ujjwal Maulik (Pattern Recognit., 2004)

Multiobjective GAs, quantitative indices, and pattern classification. - Sanghamitra Bandyopadhyay; Sankar K. Pal; B. Aruna (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation. - Sanghamitra Bandyopadhyay (ISMIS, 2005)

New Genetic Operators for Solving TSP: Application to Microarray Gene Ordering. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (PReMI, 2005)

Incorporating Distance Domination in Multiobjective Evolutionary Algorithm. - Praveen Kumar Tripathi; Sanghamitra Bandyopadhyay; Sankar K. Pal (PReMI, 2005)

An efficient technique for superfamily classification of amino acid sequences: feature extraction, fuzzy clustering and prototype selection. - Sanghamitra Bandyopadhyay (Fuzzy Sets Syst., 2005)

A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification. - Malay Kumar Pakhira; Sanghamitra Bandyopadhyay; Ujjwal Maulik (Fuzzy Sets Syst., 2005)

Active Site Driven Ligand Design: an Evolutionary Approach. - Sanghamitra Bandyopadhyay; Angshuman Bagchi; Ujjwal Maulik (J. Bioinform. Comput. Biol., 2005)

Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering. - Sanghamitra Bandyopadhyay (IEEE Trans. Knowl. Data Eng., 2005)

Medical Imaging and Diagnosis Using Genetic Algorithms. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Sajal K. Das 001 (Handbook of Bioinspired Algorithms and Applications, 2005)

Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms. - Mrinal Kanti Naskar; Anirban Mukhopadhyay 001; Utpal Biswas; Ujjwal Maulik; Sanghamitra Bandyopadhyay (Handbook of Bioinspired Algorithms and Applications, 2005)

Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ICIT, 2006)

A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation. - Sriparna Saha 001; Sanghamitra Bandyopadhyay; Ujjwal Maulik (ICIT, 2006)

Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI. - Sriparna Saha 001; Susmita Sur-Kolay; Sanghamitra Bandyopadhyay; Parthasarathi Dasgupta (ICIT, 2006)

Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation. - Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay; Ujjwal Maulik (SMC, 2006)

Clustering distributed data streams in peer-to-peer environments. - Sanghamitra Bandyopadhyay; Chris Giannella; Ujjwal Maulik; Hillol Kargupta; Kun Liu 001; Souptik Datta (Inf. Sci., 2006)

Evolutionary computation in bioinformatics: a review. - Sankar K. Pal; Sanghamitra Bandyopadhyay; Shubhra Sankar Ray (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Classification and learning using genetic algorithms - applications in bioinformatics and web intelligence. - Sanghamitra Bandyopadhyay; Sankar Kumar Pal (Springer, 2007)

In Silico Design of Ligands Using Properties of Target Active Sites. - Sanghamitra Bandyopadhyay; Santanu Santra; Ujjwal Maulik; Heinz Mühlenbein (Analysis of Biological Data: A Soft Computing Approach, 2007)

Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (Analysis of Biological Data: A Soft Computing Approach, 2007)

On some symmetry based validity indices. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (IEEE Congress on Evolutionary Computation, 2007)

MRI brain image segmentation by fuzzy symmetry based genetic clustering technique. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (IEEE Congress on Evolutionary Computation, 2007)

Adaptive mufti-objective particle swarm optimization algorithm. - Praveen Kumar Tripathi; Sanghamitra Bandyopadhyay; Sankar K. Pal (IEEE Congress on Evolutionary Computation, 2007)

Multiobjective Genetic Fuzzy Clustering of Categorical Attributes. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ICIT, 2007)

Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (ICIT, 2007)

New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (ICCTA, 2007)

A Fuzzy Genetic Clustering Technique Using a New Symmetry Based Distance for Automatic Evolution of Clusters. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (ICCTA, 2007)

A Multi-objective Genetic Algorithm with Relative Distance: Method, Performance Measures and Constraint Handling. - Praveen Kumar Tripathi; Sanghamitra Bandyopadhyay; Sankar K. Pal (ICCTA, 2007)

A validity index based on cluster symmetry. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (SMC, 2007)

Genetic operators for combinatorial optimization in TSP and microarray gene ordering. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (Appl. Intell., 2007)

An improved algorithm for clustering gene expression data. - Sanghamitra Bandyopadhyay; Anirban Mukhopadhyay 001; Ujjwal Maulik (Bioinform., 2007)

Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. - Praveen Kumar Tripathi; Sanghamitra Bandyopadhyay; Sankar K. Pal (Inf. Sci., 2007)

GAPS: A clustering method using a new point symmetry-based distance measure. - Sanghamitra Bandyopadhyay; Sriparna Saha 001 (Pattern Recognit., 2007)

Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Anirban Mukhopadhyay 001 (IEEE Trans. Geosci. Remote. Sens., 2007)

Dynamic Range-Based Distance Measure for Microarray Expressions and a Fast Gene-Ordering Algorithm. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure. - Ujjwal Maulik; Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay; Michael Q. Zhang; Xuegong Zhang (IEEE Congress on Evolutionary Computation, 2008)

Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation. - Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay; Ujjwal Maulik (IEEE Congress on Evolutionary Computation, 2008)

A Neuro-GA Approach for the Maximum Fuzzy Clique Problem. - Sanghamitra Bandyopadhyay; Malay Bhattacharyya 001 (ICONIP (1), 2008)

A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering. - Sanghamitra Bandyopadhyay; Sriparna Saha 001 (ICONIP (2), 2008)

A new multiobjective simulated annealing based clustering technique using stability and symmetry. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (ICPR, 2008)

A multiobjective simulated annealing based fuzzy-clustering technique with symmetry for pixel classification in remote sensing imagery. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (ICPR, 2008)

A new line symmetry distance based pattern classifier. - Sriparna Saha 001; Sanghamitra Bandyopadhyay; Chingtham Tejbanta Singh (IJCNN, 2008)

Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Fundam. Informaticae, 2008)

Application of a New Symmetry-Based Cluster Validity Index for Satellite Image Segmentation. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (IEEE Geosci. Remote. Sens. Lett., 2008)

A genetic approach for efficient outlier detection in projected space. - Sanghamitra Bandyopadhyay; Santanu Santra (Pattern Recognit., 2008)

A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA. - Sanghamitra Bandyopadhyay; Sriparna Saha 001; Ujjwal Maulik; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2008)

A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters. - Sanghamitra Bandyopadhyay; Sriparna Saha 001 (IEEE Trans. Knowl. Data Eng., 2008)

Gene Identification: Classical and Computational Intelligence Approaches. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Debadyuti Roy (IEEE Trans. Syst. Man Cybern. Part C, 2008)

Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering. - Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay; Ujjwal Maulik (IEEE Congress on Evolutionary Computation, 2009)

Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Congress on Evolutionary Computation, 2009)

Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (EvoBIO, 2009)

An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay (EvoWorkshops, 2009)

Integration of Co-expression Networks for Gene Clustering. - Malay Bhattacharyya 001; Sanghamitra Bandyopadhyay (ICAPR, 2009)

Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ICAPR, 2009)

A Validity Index Based on Connectivity. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (ICAPR, 2009)

MAkE: Multiobjective algorithm for k-way equipartitioning of a point set. - Sriparna Saha 001; Susmita Sur-Kolay; Parthasarathi Dasgupta; Sanghamitra Bandyopadhyay (Appl. Soft Comput., 2009)

TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples. - Sanghamitra Bandyopadhyay; Ramkrishna Mitra (Bioinform., 2009)

Analyzing miRNA co-expression networks to explore TF-miRNA regulation. - Sanghamitra Bandyopadhyay; Malay Bhattacharyya 001 (BMC Bioinform., 2009)

Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes. - Ujjwal Maulik; Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay (BMC Bioinform., 2009)

Mining the Largest Dense Vertexlet in a Weighted Scale-free Graph. - Sanghamitra Bandyopadhyay; Malay Bhattacharyya 001 (Fundam. Informaticae, 2009)

Some Symmetry Based Classifiers. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Fundam. Informaticae, 2009)

Semi-GAPS: A Semi-supervised Clustering Method Using Point Symmetry. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Fundam. Informaticae, 2009)

MR Brain Image Segmentation Using A Multi-seed Based Automatic Clustering Technique. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Fundam. Informaticae, 2009)

A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Inf. Sci., 2009)

A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (J. Bioinform. Comput. Biol., 2009)

A New Line Symmetry Distance and Its Application to Data Clustering. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (J. Comput. Sci. Technol., 2009)

Solving maximum fuzzy clique problem with neural networks and its applications. - Malay Bhattacharyya 001; Sanghamitra Bandyopadhyay (Memetic Comput., 2009)

A new multiobjective simulated annealing based clustering technique using symmetry. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Pattern Recognit. Lett., 2009)

Combining Multisource Information Through Functional-Annotation-Based Weighting: Gene Function Prediction in Yeast. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (IEEE Trans. Biomed. Eng., 2009)

Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Trans. Evol. Comput., 2009)

Finding Multiple Coherent Biclusters in Microarray Data Using Variable String Length Multiobjective Genetic Algorithm. - Ujjwal Maulik; Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay (IEEE Trans. Inf. Technol. Biomed., 2009)

Performance Evaluation of Some Symmetry-Based Cluster Validity Indexes. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (IEEE Trans. Syst. Man Cybern. Part C, 2009)

Simultaneous informative gene selection and clustering through multiobjective optimization. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Congress on Evolutionary Computation, 2010)

Real-coded differential crisp clustering for MRI brain image segmentation. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Dariusz Plewczynski (IEEE Congress on Evolutionary Computation, 2010)

MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. - Kartick Chandra Mondal; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Nicolas Pasquier (CIBB, 2010)

Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image. - Indrajit Saha; Dariusz Plewczynski; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ICEIS (2), 2010)

Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. - Indrajit Saha; Dariusz Plewczynski; Ujjwal Maulik; Sanghamitra Bandyopadhyay (RSCTC, 2010)

Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Dariusz Plewczynski (STAIRS, 2010)

PuTmiR: A database for extracting neighboring transcription factors of human microRNAs. - Sanghamitra Bandyopadhyay; Malay Bhattacharyya 001 (BMC Bioinform., 2010)

SFSSClass: an integrated approach for miRNA based tumor classification. - Ramkrishna Mitra; Sanghamitra Bandyopadhyay; Ujjwal Maulik; Michael Q. Zhang (BMC Bioinform., 2010)

A new multiobjective clustering technique based on the concepts of stability and symmetry. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Knowl. Inf. Syst., 2010)

Application of a Multiseed-Based Clustering Technique for Automatic Satellite Image Segmentation. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (IEEE Geosci. Remote. Sens. Lett., 2010)

A symmetry based multiobjective clustering technique for automatic evolution of clusters. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Pattern Recognit., 2010)

Integrating Clustering and Supervised Learning for Categorical Data Analysis. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Indrajit Saha (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics. - Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban Mukhopadhyay 001 (Springer, 2011)

Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (CIBCB, 2011)

Finding Bicliques in Digraphs: Application into Viral-Host Protein Interactome. - Malay Bhattacharyya 001; Sanghamitra Bandyopadhyay; Ujjwal Maulik (PReMI, 2011)

Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Appl. Intell., 2011)

Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Dariusz Plewczynski (Expert Syst. Appl., 2011)

Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. - Sanghamitra Bandyopadhyay; Sriparna Saha 001; Witold Pedrycz (Fuzzy Sets Syst., 2011)

Unsupervised and Supervised Learning Approaches Together for Microarray Analysis. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Dariusz Plewczynski (Fundam. Informaticae, 2011)

On principle axis based line symmetry clustering techniques. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Memetic Comput., 2011)

A Biologically Inspired Measure for Coexpression Analysis. - Sanghamitra Bandyopadhyay; Malay Bhattacharyya 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Multiobjective Simulated Annealing for Fuzzy Clustering With Stability and Validity. - Sanghamitra Bandyopadhyay (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Genetic algorithms for clustering and fuzzy clustering. - Sanghamitra Bandyopadhyay (WIREs Data Mining Knowl. Discov., 2011)

An Approach for the Ordering of Evaluation of Objectives in Multiobjective Optimization. - Preeti Gupta; Sanghamitra Bandyopadhyay; Ujjwal Maulik (BIC-TA (1), 2012)

Protein Secondary Structure Prediction Using Machine Learning. - Sriparna Saha 001; Asif Ekbal; Sidharth Sharma; Sanghamitra Bandyopadhyay; Ujjwal Maulik (ISI, 2012)

Score Based Aggregation of microRNA Target Orderings. - Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ISBRA, 2012)

Bounds on Quasi-Completeness. - Malay Bhattacharyya 001; Sanghamitra Bandyopadhyay (IWOCA, 2012)

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. - Kartick Chandra Mondal; Nicolas Pasquier; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (MLDM, 2012)

δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data. - Anirban Bhar; Martin Haubrock; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Edgar Wingender (WABI, 2012)

Some connectivity based cluster validity indices. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Appl. Soft Comput., 2012)

miRT: A Database of Validated Transcription Start Sites of Human MicroRNAs. - Malay Bhattacharyya 001; Manali Das; Sanghamitra Bandyopadhyay (Genom. Proteom. Bioinform., 2012)

Improved differential evolution for microarray analysis. - Indrajit Saha; Dariusz Plewczynski; Ujjwal Maulik; Sanghamitra Bandyopadhyay (Int. J. Data Min. Bioinform., 2012)

Gene Expression Data Analysis Using Multiobjective Clustering Improved with SVM Based Ensemble. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (Silico Biol., 2012)

SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation. - Indrajit Saha; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Dariusz Plewczynski (IEEE Geosci. Remote. Sens. Lett., 2012)

A Weighted Power Framework for Integrating Multisource Information: Gene Function Prediction in Yeast. - Shubhra Sankar Ray; Sanghamitra Bandyopadhyay; Sankar K. Pal (IEEE Trans. Biomed. Eng., 2012)

De Novo Design of Potential RecA Inhibitors Using MultiObjective Optimization. - Soumi Sengupta; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Weighted Markov Chain Based Aggregation of Biomolecule Orderings. - Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Unsupervised Classification - Similarity Measures, Classical and Metaheuristic Approaches, and Applications. - Sanghamitra Bandyopadhyay; Sriparna Saha 001 (Springer, 2013)

Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach. - Saurav Mallik; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (CIBCB, 2013)

Incorporating fuzzy semantic similarity measure in detecting human protein complexes in PPI network: A multiobjective approach. - Sumanta Ray; Sanghamitra Bandyopadhyay; Anirban Mukhopadhyay 001; Ujjwal Maulik (FUZZ-IEEE, 2013)

Hybrid evolutionary multiobjective fuzzy c-medoids clustering of categorical data. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (HIMA, 2013)

Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell. - Anirban Bhar; Martin Haubrock; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Edgar Wingender (Algorithms Mol. Biol., 2013)

Incorporating ϵ-dominance in AMOSA: Application to multiobjective 0/1 knapsack problem and clustering gene expression data. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Rudrasis Chakraborty (Appl. Soft Comput., 2013)

A generalized automatic clustering algorithm in a multiobjective framework. - Sriparna Saha 001; Sanghamitra Bandyopadhyay (Appl. Soft Comput., 2013)

Gene expression data clustering using a multiobjective symmetry based clustering technique. - Sriparna Saha 001; Asif Ekbal; Kshitija Gupta; Sanghamitra Bandyopadhyay (Comput. Biol. Medicine, 2013)

A New Approach for Combining Knowledge From Multiple Coexpression Networks of MicroRNAs. - Malay Bhattacharyya 001; Manali Das; Sanghamitra Bandyopadhyay (IEEE Trans. Biomed. Eng., 2013)

An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Trans. Biomed. Eng., 2013)

Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach. - Ujjwal Maulik; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001; Lars Kaderali; Benedikt Brors; Sanghamitra Bandyopadhyay; Roland Eils (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets. - Debarka Sengupta; Aroonalok Pyne; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance. - Minakshi Banerjee; Sanghamitra Bandyopadhyay; Sankar K. Pal (Rough Sets and Intelligent Systems (2), 2013)

A strong Nash stability based approach to minimum quasi clique partitioning. - Srinka Basu; Debarka Sengupta; Ujjwal Maulik; Sanghamitra Bandyopadhyay (COMSNETS, 2014)

Estimating Completeness in Streaming Graphs. - Malay Bhattacharyya 001; Supratim Bhattacharya; Sanghamitra Bandyopadhyay (EDBT/ICDT Workshops, 2014)

Integration of dense subgraph finding with feature clustering for unsupervised feature selection. - Sanghamitra Bandyopadhyay; Tapas Bhadra; Pabitra Mitra; Ujjwal Maulik (Pattern Recognit. Lett., 2014)

A Survey and Comparative Study of Statistical Tests for Identifying Differential Expressionfrom Microarray Data. - Sanghamitra Bandyopadhyay; Saurav Mallik; Anirban Mukhopadhyay 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A New Path Based Hybrid Measurefor Gene Ontology Similarity. - Sanghamitra Bandyopadhyay; Koushik Mallick (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Carlos Artemio Coello Coello (IEEE Trans. Evol. Comput., 2014)

Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2014)

Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining. - Sanghamitra Bandyopadhyay; Ujjwal Maulik; Carlos Artemio Coello Coello; Witold Pedrycz (IEEE Trans. Evol. Comput., 2014)

Ties that matter. - Garisha Chowdhary; Sanghamitra Bandyopadhyay (IEEE BigData, 2015)

A fuzzy citation-kNN algorithm for multiple instance learning. - Dip Ghosh; Sanghamitra Bandyopadhyay (FUZZ-IEEE, 2015)

Event extraction from cancer genetics literature. - Debajyoti Sinha; Utpal Garain; Sanghamitra Bandyopadhyay (ICAPR, 2015)

A multiobjective approach for identifying protein complexes and studying their association in multiple disorders. - Sanghamitra Bandyopadhyay; Sumanta Ray; Anirban Mukhopadhyay 001; Ujjwal Maulik (Algorithms Mol. Biol., 2015)

Simultaneous feature selection and symmetry based clustering using multiobjective framework. - Sriparna Saha 001; Rachamadugu Spandana; Asif Ekbal; Sanghamitra Bandyopadhyay (Appl. Soft Comput., 2015)

A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions. - Sanghamitra Bandyopadhyay; Sumanta Ray; Anirban Mukhopadhyay 001; Ujjwal Maulik (Briefings Bioinform., 2015)

A Survey of Multiobjective Evolutionary Clustering. - Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (ACM Comput. Surv., 2015)

Unsupervised feature selection using an improved version of Differential Evolution. - Tapas Bhadra; Sanghamitra Bandyopadhyay (Expert Syst. Appl., 2015)

Priority based ∈ dominance: A new measure in multiobjective optimization. - Sanghamitra Bandyopadhyay; Rudrasis Chakraborty; Ujjwal Maulik (Inf. Sci., 2015)

Finding quasi core with simulated stacked neural networks. - Malay Bhattacharyya 001; Sanghamitra Bandyopadhyay (Inf. Sci., 2015)

Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information. - Sanghamitra Bandyopadhyay; Tapas Bhadra; Ujjwal Maulik (J. Multiple Valued Log. Soft Comput., 2015)

An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution. - Sanghamitra Bandyopadhyay; Arpan Mukherjee (IEEE Trans. Evol. Comput., 2015)

Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach. - Kaustav Basu; Vincent Debusschere; Seddik Bacha; Ujjwal Maulik; Sanghamitra Bandyopadhyay (IEEE Trans. Ind. Informatics, 2015)

FOCS: Fast Overlapped Community Search. - Sanghamitra Bandyopadhyay; Garisha Chowdhary; Debarka Sengupta (IEEE Trans. Knowl. Data Eng., 2015)

An ensemble of condition based classifiers for indoor localization. - Dip Ghosh; Priya Roy; Chandreyee Chowdhury; Sanghamitra Bandyopadhyay (ANTS, 2016)

Clustering based online automatic objective reduction to aid many-objective optimization. - Monalisa Pal; Sriparna Saha 001; Sanghamitra Bandyopadhyay (CEC, 2016)

A NMF based approach for integrating multiple data sources to predict HIV-1-human PPIs. - Sumanta Ray; Sanghamitra Bandyopadhyay (BMC Bioinform., 2016)

Use of line based symmetry for developing cluster validity indices. - Sudipta Acharya; Sriparna Saha 001; Sanghamitra Bandyopadhyay (Soft Comput., 2016)

Discovering Condition Specific Topological Pattern Changes in Coexpression Network: An Application to HIV-1 Progression. - Sumanta Ray; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Analysis of Optimizers to Regulate Occupant's Actions for Building Energy Management. - Monalisa Pal; Raunak Sengupta; Sanghamitra Bandyopadhyay; Amr Alzouhri Alyafi; Stéphane Ploix; Patrick Reignier; Sriparna Saha 001 (ICAPR, 2017)

Multi-size patch based collaborative representation for Palm Dorsa Vein Pattern recognition by enhanced ensemble learning with modified interactive artificial bee colony algorithm. - Sandip Joardar; Amitava Chatterjee; Sanghamitra Bandyopadhyay; Ujjwal Maulik (Eng. Appl. Artif. Intell., 2017)

A New Feature Vector Based on Gene Ontology Terms for Protein-Protein Interaction Prediction. - Sanghamitra Bandyopadhyay; Koushik Mallick (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining. - Debarka Sengupta; Sanghamitra Bandyopadhyay; Debajyoti Sinha (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data. - Saurav Mallik; Tapas Bhadra; Soumita Seth; Sanghamitra Bandyopadhyay; Jianjiao Chen (Multi-Objective Optimization, 2018)

Consensus of Subjective Preferences of Multiple Occupants for Building Energy Management. - Monalisa Pal; Sanghamitra Bandyopadhyay (SSCI, 2018)

DECOR: Differential Evolution using Clustering based Objective Reduction for many-objective optimization. - Monalisa Pal; Sriparna Saha 001; Sanghamitra Bandyopadhyay (Inf. Sci., 2018)

Structure-Aware Principal Component Analysis for Single-Cell RNA-seq Data. - Snehalika Lall; Debajyoti Sinha; Sanghamitra Bandyopadhyay; Debarka Sengupta (J. Comput. Biol., 2018)

Integrating Multiple Data Sources for Combinatorial Marker Discovery: A Study in Tumorigenesis. - Sanghamitra Bandyopadhyay; Saurav Mallik (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Differential evolution for multi-modal multi-objective problems. - Monalisa Pal; Sanghamitra Bandyopadhyay (GECCO (Companion), 2019)

An l1-Norm Regularized Copula Based Feature Selection. - Snehalika Lall; Sanghamitra Bandyopadhyay (ISCSIC, 2019)

A Many Objective Optimization Approach for Transfer Learning in EEG Classification. - Monalisa Pal; Sanghamitra Bandyopadhyay; Saugat Bhattacharyya (CoRR, 2019)

ESOEA: Ensemble of single objective evolutionary algorithms for many-objective optimization. - Monalisa Pal; Sanghamitra Bandyopadhyay (Swarm Evol. Comput., 2019)

NAEMO: Neighborhood-sensitive archived evolutionary many-objective optimization algorithm. - Raunak Sengupta; Monalisa Pal; Sriparna Saha 001; Sanghamitra Bandyopadhyay (Swarm Evol. Comput., 2019)

Topo2Vec: A Novel Node Embedding Generation Based on Network Topology for Link Prediction. - Koushik Mallick; Sanghamitra Bandyopadhyay; Subhasis Chakraborty; Rounaq Choudhuri; Sayan Bose (IEEE Trans. Comput. Soc. Syst., 2019)

Identification of Multiview Gene Modules Using Mutual Information-Based Hypograph Mining. - Tapas Bhadra; Saurav Mallik; Sanghamitra Bandyopadhyay (IEEE Trans. Syst. Man Cybern. Syst., 2019)

JUIndoorLoc: A Ubiquitous Framework for Smartphone-Based Indoor Localization Subject to Context and Device Heterogeneity. - Priya Roy; Chandreyee Chowdhury; Dip Ghosh; Sanghamitra Bandyopadhyay (Wirel. Pers. Commun., 2019)

Uniform distribution driven adaptive differential evolution. - Raunak Sengupta; Monalisa Pal; Sriparna Saha 001; Sanghamitra Bandyopadhyay (Appl. Intell., 2020)

Improved dropClust R package with integrative analysis support for scRNA-seq data. - Debajyoti Sinha; Pradyumn Sinha; Ritwik Saha; Sanghamitra Bandyopadhyay; Debarka Sengupta (Bioinform., 2020)

conLSH: Context based Locality Sensitive Hashing for mapping of noisy SMRT reads. - Angana Chakraborty; Sanghamitra Bandyopadhyay (Comput. Biol. Chem., 2020)

WeCoMXP: Weighted Connectivity Measure Integrating Co-Methylation, Co-Expression and Protein-Protein Interactions for Gene-Module Detection. - Saurav Mallik; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation. - Sucheta Dawn; Monidipa Das; Sanghamitra Bandyopadhyay (PReMI, 2021)

S-conLSH: alignment-free gapped mapping of noisy long reads. - Angana Chakraborty; Burkhard Morgenstern; Sanghamitra Bandyopadhyay (BMC Bioinform., 2021)

Novel weighted ensemble classifier for smartphone based indoor localization. - Priya Roy; Chandreyee Chowdhury; Mausam Kundu; Dip Ghosh; Sanghamitra Bandyopadhyay (Expert Syst. Appl., 2021)

Supervised feature selection using integration of densest subgraph finding with floating forward-backward search. - Tapas Bhadra; Sanghamitra Bandyopadhyay (Inf. Sci., 2021)

A detailed human activity transition recognition framework for grossly labeled data from smartphone accelerometer. - Jayita Saha; Chandreyee Chowdhury; Dip Ghosh; Sanghamitra Bandyopadhyay (Multim. Tools Appl., 2021)

RgCop-A regularized copula based method for gene selection in single-cell RNA-seq data. - Snehalika Lall; Sumanta Ray; Sanghamitra Bandyopadhyay (PLoS Comput. Biol., 2021)

Stable feature selection using copula based mutual information. - Snehalika Lall; Debajyoti Sinha; Abhik Ghosh; Debarka Sengupta; Sanghamitra Bandyopadhyay (Pattern Recognit., 2021)

Decomposition in decision and objective space for multi-modal multi-objective optimization. - Monalisa Pal; Sanghamitra Bandyopadhyay (Swarm Evol. Comput., 2021)

Colored Network Motif Analysis by Dynamic Programming Approach: An Application in Host Pathogen Interaction Network. - Sourav Biswas; Sumanta Ray; Sanghamitra Bandyopadhyay (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Smart Handheld Based Human Activity Recognition Using Multiple Instance Multiple Label Learning. - Jayita Saha; Dip Ghosh; Chandreyee Chowdhury; Sanghamitra Bandyopadhyay (Wirel. Pers. Commun., 2021)

A Model-Centric Explainer for Graph Neural Network based Node Classification. - Sayan Saha; Monidipa Das; Sanghamitra Bandyopadhyay (CIKM, 2022)

Deep variational graph autoencoders for novel host-directed therapy options against COVID-19. - Sumanta Ray; Snehalika Lall; Anirban Mukhopadhyay 001; Sanghamitra Bandyopadhyay; Alexander Schönhuth (Artif. Intell. Medicine, 2022)

sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data. - Snehalika Lall; Abhik Ghosh; Sumanta Ray; Sanghamitra Bandyopadhyay (Briefings Bioinform., 2022)

GraMMy: Graph representation learning based on micro-macro analysis. - Sucheta Dawn; Monidipa Das; Sanghamitra Bandyopadhyay (Neurocomputing, 2022)

A copula based topology preserving graph convolution network for clustering of single-cell RNA-seq data. - Snehalika Lall; Sumanta Ray; Sanghamitra Bandyopadhyay (PLoS Comput. Biol., 2022)

A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems. - Koushik Mallick; Saurav Mallik; Sanghamitra Bandyopadhyay; Sikim Chakraborty (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Deep Integrated Framework for Predicting SARS-CoV2-Human Protein-Protein Interaction. - Sumanta Ray; Snehalika Lall; Sanghamitra Bandyopadhyay (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series. - Monidipa Das; Soumya K. Ghosh 001; Sanghamitra Bandyopadhyay (IEEE Trans. Geosci. Remote. Sens., 2022)

Two-Dimensional Pheromone in Ant Colony Optimization. - Grazyna Starzec; Mateusz Starzec; Sanghamitra Bandyopadhyay; Ujjwal Maulik; Leszek Rutkowski; Marek Kisiel-Dorohinicki; Aleksander Byrski (ICCCI, 2023)

GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. - Sayan Saha; Monidipa Das; Sanghamitra Bandyopadhyay (Tiny Papers @ ICLR, 2023)

A Survey on Multi-Objective Based Parameter Optimization for Deep Learning. - Mrittika Chakraborty; Wreetbhas Pal; Sanghamitra Bandyopadhyay; Ujjwal Maulik (Comput. Sci., 2023)

IV-GNN : interval valued data handling using graph neural network. - Sucheta Dawn; Sanghamitra Bandyopadhyay (Appl. Intell., 2023)

A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection. - Koushik Mallick; Sikim Chakraborty; Saurav Mallik; Sanghamitra Bandyopadhyay (Briefings Bioinform., 2023)

SoURA: a user-reliability-aware social recommendation system based on graph neural network. - Sucheta Dawn; Monidipa Das; Sanghamitra Bandyopadhyay (Neural Comput. Appl., 2023)

Multiobjective Optimization Algorithms for Bioinformatics - Anirban Mukhopadhyay 001; Sumanta Ray; Ujjwal Maulik; Sanghamitra Bandyopadhyay (Springer, 2024)

Graphon-Explainer: Generating Model-Level Explanations for Graph Neural Networks using Graphons. - Sayan Saha; Sanghamitra Bandyopadhyay (Trans. Mach. Learn. Res., 2024)

Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers. - Arpita Sarkar; Malay Bhattacharyya 001; Utpal Garain; Saibal Kumar Pal; Shantanu; Sanghamitra Bandyopadhyay; Nikhil R. Pal (IEEE Trans. Emerg. Top. Comput. Intell., 2025)