Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering. - Indrajit Saha; Anirban Mukhopadhyay 001 (ICIIS, 2008)

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

Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery. - Ujjwal Maulik; Indrajit Saha (Pattern Recognit., 2009)

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

Use of Multiobjective Differential Fuzzy Clustering with ANN Classifier for Unsupervised Pattern Classification: Application to Microarray Analysis. - Indrajit Saha (RCIS, 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)

Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification. - Ujjwal Maulik; Indrajit Saha (IEEE Trans. Geosci. Remote. Sens., 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 Differential Crisp Clustering for Evaluation of Clusters Dynamically. - Indrajit Saha; Ujjwal Maulik; Dariusz Plewczynski (ICMMI, 2011)

PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering. - Indrajit Saha; Ujjwal Maulik; Dariusz Plewczynski (ISMIS, 2011)

A new multi-objective technique for differential fuzzy clustering. - Indrajit Saha; Ujjwal Maulik; Dariusz Plewczynski (Appl. Soft Comput., 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)

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

Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note. - Indrajit Saha; Ujjwal Maulik; Dariusz Plewczynski (BIC-TA (1), 2012)

Rough Set Based Fuzzy K-Modes for Categorical Data. - Indrajit Saha; Jnanendra Prasad Sarkar; Ujjwal Maulik (SEMCCO, 2012)

Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts. - Debasree Maity; Indrajit Saha; Ujjwal Maulik; Dariusz Plewczynski (SocProS, 2012)

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

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

New quantum inspired meta-heuristic methods for multi-level thresholding. - Sandip Dey; Indrajit Saha; Ujjwal Maulik; Siddhartha Bhattacharyya (ICACCI, 2013)

Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering. - Indrajit Saha; Debasree Maity; Ujjwal Maulik (ICACCI, 2013)

Evaluation of Machine Learning Algorithms on Protein-Protein Interactions. - Indrajit Saha; Tomas Klingström; Simon Forsberg; Johan Wikander; Julian Zubek; Marcin Kierczak; Dariusz Plewczynski (ICMMI, 2013)

Erratum: Evaluation of Machine Learning Algorithms on Protein-Protein Interactions. - Indrajit Saha; Tomas Klingström; Simon Forsberg; Johan Wikander; Julian Zubek; Marcin Kierczak; Dariusz Plewczynski (ICMMI, 2013)

Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems. - Indrajit Saha; Ujjwal Maulik; Michal Lukasik; Dariusz Plewczynski (ICMMI, 2013)

Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation. - Indrajit Saha; Ujjwal Maulik (Advanced Computational Approaches to Biomedical Engineering, 2014)

Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction. - Shib Sankar Bhowmick; Indrajit Saha; Giovanni Mazzocco; Ujjwal Maulik; Luís Rato; Debotosh Bhattacharjee; Dariusz Plewczynski (BIOINFORMATICS, 2014)

Incremental learning based multiobjective fuzzy clustering for categorical data. - Indrajit Saha; Ujjwal Maulik (Inf. Sci., 2014)

Multi-level thresholding using quantum inspired meta-heuristics. - Sandip Dey; Indrajit Saha; Siddhartha Bhattacharyya; Ujjwal Maulik (Knowl. Based Syst., 2014)

A new evolutionary gene selection technique. - Adrian Lancucki; Indrajit Saha; Piotr Lipinski (CEC, 2015)

MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins. - Giovanni Mazzocco; Shib Sankar Bhowmick; Indrajit Saha; Ujjwal Maulik; Debotosh Bhattacharjee; Dariusz Plewczynski (PReMI, 2015)

Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer. - Indrajit Saha; Shib Sankar Bhowmick; Filippo Geraci; Marco Pellegrini 001; Debotosh Bhattacharjee; Ujjwal Maulik; Dariusz Plewczynski (SEMCCO, 2015)

Binding Activity Prediction of Cyclin-Dependent Inhibitors. - Indrajit Saha; Benedykt Rak; Shib Sankar Bhowmick; Ujjwal Maulik; Debotosh Bhattacharjee; Uwe Koch; Michal Lazniewski; Dariusz Plewczynski (J. Chem. Inf. Model., 2015)

Ensemble based rough fuzzy clustering for categorical data. - Indrajit Saha; Jnanendra Prasad Sarkar; Ujjwal Maulik (Knowl. Based Syst., 2015)

A new evolutionary microRNA marker selection using next-generation sequencing data. - Adrian Lancucki; Indrajit Saha; Shib Sankar Bhowmick; Ujjwal Maulik; Piotr Lipinski (CEC, 2016)

Biomarker identification using next generation sequencing data of RNA. - Shib Sankar Bhowmick; Indrajit Saha; Ujjwal Maulik; Debotosh Bhattacharjee (ICACCI, 2016)

Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer. - Shib Sankar Bhowmick; Indrajit Saha; Ujjwal Maulik; Debotosh Bhattacharjee (RAIT, 2016)

Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation. - Jnanendra Prasad Sarkar; Indrajit Saha; Ujjwal Maulik (Appl. Soft Comput., 2016)

Integrated Classifier: A Tool for Microarray Analysis. - Shib Sankar Bhowmick; Indrajit Saha; Luís Rato; Debotosh Bhattacharjee (CICBA (2), 2017)

Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network. - Indrajit Saha; Nivriti Debnath (HIS, 2017)

Improving Modified Differential Evolution for Fuzzy Clustering. - Jnanendra Prasad Sarkar; Indrajit Saha; Anasua Sarkar; Ujjwal Maulik (HIS, 2017)

Random Fixed Points, Limits and Systemic Risk. - Veeraruna Kavitha; Indrajit Saha; Sandeep Juneja 001 (CDC, 2018)

Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. - Somnath Rakshit; Indrajit Saha; Subha Shankar Chakraborty; Dariusz Plewczynski (TENCON, 2018)

Machine Learning for Object Labelling. - Indrajit Saha; Somnath Rakshit; Tanay Ghosh (TENCON, 2018)

Controlling Packet Drops to Improve Freshness of information. - Veeraruna Kavitha; Eitan Altman; Indrajit Saha (CoRR, 2018)

A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. - Jnanendra Prasad Sarkar; Indrajit Saha; Somnath Rakshit; Monalisa Pal; Michal Wlasnowolski; Anasua Sarkar; Ujjwal Maulik; Dariusz Plewczynski (GECCO (Companion), 2019)

Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. - Somnath Rakshit; Indrajit Saha; Michal Wlasnowolski; Ujjwal Maulik; Dariusz Plewczynski (ICAISC (2), 2019)

Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes. - Indrajit Saha; Somnath Rakshit; Michal Denkiewicz; Jnanendra Prasad Sarkar; Debasree Maity; Ujjwal Maulik; Dariusz Plewczynski (PReMI (2), 2019)

Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. - Indrajit Saha; Somnath Rakshit; Michal Wlasnowolski; Dariusz Plewczynski (TENCON, 2019)

Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image. - Jnanendra Prasad Sarkar; Indrajit Saha; Ujjwal Maulik (TENCON, 2019)

Integrated Rough Fuzzy Clustering for Categorical data Analysis. - Indrajit Saha; Jnanendra Prasad Sarkar; Ujjwal Maulik (Fuzzy Sets Syst., 2019)

Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. - Namrata Pant; Somnath Rakshit; Sushmita Paul; Indrajit Saha (J. Biomed. Informatics, 2019)

Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies. - Indrajit Saha; Veeraruna Kavitha (NetGCooP, 2020)

Machine learning integrated credibilistic semi supervised clustering for categorical data. - Jnanendra Prasad Sarkar; Indrajit Saha; Sinjan Chakraborty; Ujjwal Maulik (Appl. Soft Comput., 2020)

A deep learning approach based on convolutional LSTM for detecting diabetes. - Motiur Rahman 001; Dilshad Islam; Rokeya Jahan Mukti; Indrajit Saha (Comput. Biol. Chem., 2020)

Controlling Fake News by Tagging: A Branching Process Analysis. - Suyog Kapsikar; Indrajit Saha; Khushboo Agarwal; Veeraruna Kavitha; Quanyan Zhu (CoRR, 2020)

GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification. - Arijit Das; Indrajit Saha; Rafal Scherer (Sensors, 2020)

Whole genome analysis of more than 10 000 SARS-CoV-2 virus unveils global genetic diversity and target region of NSP6. - Indrajit Saha; Nimisha Ghosh; Ayan Pradhan; Nikhil Sharma; Debasree Maity; Kaushik Mitra (Briefings Bioinform., 2021)

Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities. - Nimisha Ghosh; Indrajit Saha; Nikhil Sharma (Comput. Biol. Medicine, 2021)

Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers. - Jnanendra Prasad Sarkar; Indrajit Saha; Anasua Sarkar; Ujjwal Maulik (Comput. Biol. Medicine, 2021)

Controlling Fake News by Collective Tagging: A Branching Process Analysis. - Suyog Kapsikar; Indrajit Saha; Khushboo Agarwal; Veeraruna Kavitha; Quanyan Zhu (IEEE Control. Syst. Lett., 2021)

Genome-Wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1. - Nimisha Ghosh; Indrajit Saha; Dariusz Plewczynski (IEEE Access, 2022)

Predicting Transcription Factor Binding Sites using Transformer based Capsule Network. - Nimisha Ghosh; Daniele Santoni; Indrajit Saha; Giovanni Felici (CoRR, 2023)

Systemic-Risk and Evolutionary Stable Strategies in a Financial Network. - Indrajit Saha; Veeraruna Kavitha (Dyn. Games Appl., 2023)

Online Fair Division with Contextual Bandits. - Arun Verma; Indrajit Saha; Makoto Yokoo; Bryan Kian Hsiang Low (CoRR, 2024)

A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis. - Nimisha Ghosh; Daniele Santoni; Indrajit Saha; Giovanni Felici (CoRR, 2024)

Subtraction games in more than one dimension. - Urban Larsson; Indrajit Saha; Makoto Yokoo (Theor. Comput. Sci., 2024)

Random fixed points, systemic risk and resilience of heterogeneous financial network. - Indrajit Saha; Veeraruna Kavitha (Ann. Oper. Res., 2024)

Enforce and selective operators of combinatorial games. - Tomoaki Abuku; Shun-ichi Kimura; Hironori Kiya; Urban Larsson; Indrajit Saha; Koki Suetsugu; Takahiro Yamashita (Int. J. Game Theory, 2024)

Weighted Envy-free Allocation with Subsidy. - Haris Aziz 001; Xin Huang; Kei Kimura; Indrajit Saha; Zhaohong Sun 001; Mashbat Suzuki; Makoto Yokoo (AAMAS, 2025)

Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy. - Noga Klein Elmalem; Haris Aziz 001; Rica Gonen; Xin Huang; Kei Kimura; Indrajit Saha; Erel Segal-Halevi; Zhaohong Sun 001; Mashbat Suzuki; Makoto Yokoo (CoRR, 2025)

COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents. - Arun Verma; Indrajit Saha; Makoto Yokoo; Bryan Kian Hsiang Low (CoRR, 2025)

Coalitions on the Fly in Cooperative Games. - Yao Zhang; Indrajit Saha; Zhaohong Sun 001; Makoto Yokoo (CoRR, 2025)