Indrajit Saha

Orcid: 0000-0001-9513-9707

According to our database1, Indrajit Saha authored at least 68 papers between 2008 and 2024.

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Bibliography

2024
Random fixed points, systemic risk and resilience of heterogeneous financial network.
Ann. Oper. Res., May, 2024

Subtraction games in more than one dimension.
Theor. Comput. Sci., 2024

Online Fair Division with Contextual Bandits.
CoRR, 2024

Weighted Envy-free Allocation with Subsidy.
CoRR, 2024

2023
Systemic-Risk and Evolutionary Stable Strategies in a Financial Network.
Dyn. Games Appl., September, 2023

Predicting Transcription Factor Binding Sites using Transformer based Capsule Network.
CoRR, 2023

2022
Genome-Wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1.
IEEE Access, 2022

2021
Controlling Fake News by Collective Tagging: A Branching Process Analysis.
IEEE Control. Syst. Lett., 2021

Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers.
Comput. Biol. Medicine, 2021

Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities.
Comput. Biol. Medicine, 2021

Whole genome analysis of more than 10 000 SARS-CoV-2 virus unveils global genetic diversity and target region of NSP6.
Briefings Bioinform., 2021

2020
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification.
Sensors, 2020

Controlling Fake News by Tagging: A Branching Process Analysis.
CoRR, 2020

A deep learning approach based on convolutional LSTM for detecting diabetes.
Comput. Biol. Chem., 2020

Machine learning integrated credibilistic semi supervised clustering for categorical data.
Appl. Soft Comput., 2020

Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies.
Proceedings of the Network Games, Control and Optimization - 10th International Conference, 2020

2019
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer.
J. Biomed. Informatics, 2019

Integrated Rough Fuzzy Clustering for Categorical data Analysis.
Fuzzy Sets Syst., 2019

Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image.
Proceedings of the TENCON 2019, 2019

Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes.
Proceedings of the TENCON 2019, 2019

Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Controlling Packet Drops to Improve Freshness of information.
CoRR, 2018

Machine Learning for Object Labelling.
Proceedings of the TENCON 2018, 2018

Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data.
Proceedings of the TENCON 2018, 2018

Random Fixed Points, Limits and Systemic Risk.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Improving Modified Differential Evolution for Fuzzy Clustering.
Proceedings of the Hybrid Intelligent Systems, 2017

Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network.
Proceedings of the Hybrid Intelligent Systems, 2017

Integrated Classifier: A Tool for Microarray Analysis.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2016
Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation.
Appl. Soft Comput., 2016

Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Biomarker identification using next generation sequencing data of RNA.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

A new evolutionary microRNA marker selection using next-generation sequencing data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Ensemble based rough fuzzy clustering for categorical data.
Knowl. Based Syst., 2015

Binding Activity Prediction of Cyclin-Dependent Inhibitors.
J. Chem. Inf. Model., 2015

Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015

MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A new evolutionary gene selection technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Multi-level thresholding using quantum inspired meta-heuristics.
Knowl. Based Syst., 2014

Incremental learning based multiobjective fuzzy clustering for categorical data.
Inf. Sci., 2014

Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction.
Proceedings of the BIOINFORMATICS 2014, 2014

Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation.
Proceedings of the Advanced Computational Approaches to Biomedical Engineering, 2014

2013
Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems.
Proceedings of the Man-Machine Interactions 3, 2013

Erratum: Evaluation of Machine Learning Algorithms on Protein-Protein Interactions.
Proceedings of the Man-Machine Interactions 3, 2013

Evaluation of Machine Learning Algorithms on Protein-Protein Interactions.
Proceedings of the Man-Machine Interactions 3, 2013

Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering.
Proceedings of the International Conference on Advances in Computing, 2013

New quantum inspired meta-heuristic methods for multi-level thresholding.
Proceedings of the International Conference on Advances in Computing, 2013

2012
SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2012

Improved differential evolution for microarray analysis.
Int. J. Data Min. Bioinform., 2012

Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Rough Set Based Fuzzy K-Modes for Categorical Data.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note.
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

2011
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis.
Fundam. Informaticae, 2011

Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis.
Expert Syst. Appl., 2011

A new multi-objective technique for differential fuzzy clustering.
Appl. Soft Comput., 2011

PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically.
Proceedings of the Man-Machine Interactions 2, 2011

2010
Integrating Clustering and Supervised Learning for Categorical Data Analysis.
IEEE Trans. Syst. Man Cybern. Part A, 2010

Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2010

Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering.
Proceedings of the STAIRS 2010, 2010

Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Use of Multiobjective Differential Fuzzy Clustering with ANN Classifier for Unsupervised Pattern Classification: Application to Microarray Analysis.
Proceedings of the Fourth IEEE International Conference on Research Challenges in Information Science, 2010

Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

Real-coded differential crisp clustering for MRI brain image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery.
Pattern Recognit., 2009

An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation.
Proceedings of the Applications of Evolutionary Computing, 2009

2008
Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering.
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008


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