Indrajit Saha

According to our database, Indrajit Saha authored at least 64 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Systemic-Risk and Evolutionary Stable Strategies in a Financial Network.

Indrajit Saha, Veeraruna Kavitha

Dyn. Games Appl., September, 2023

Predicting Transcription Factor Binding Sites using Transformer based Capsule Network.

Nimisha Ghosh, Daniele Santoni, Indrajit Saha, Giovanni Felici

CoRR, 2023

2022

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

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

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

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

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

2020

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

Arijit Das, Indrajit Saha, Rafal Scherer

Sensors, 2020

Controlling Fake News by Tagging: A Branching Process Analysis.

Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu

CoRR, 2020

A deep learning approach based on convolutional LSTM for detecting diabetes.

Motiur Rahman, Dilshad Islam, Rokeya Jahan Mukti, Indrajit Saha

Comput. Biol. Chem., 2020

Machine learning integrated credibilistic semi supervised clustering for categorical data.

Jnanendra Prasad Sarkar, Indrajit Saha, Sinjan Chakraborty, Ujjwal Maulik

Appl. Soft Comput., 2020

Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies.

Indrajit Saha, Veeraruna Kavitha

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.

Namrata Pant, Somnath Rakshit, Sushmita Paul, Indrajit Saha

J. Biomed. Informatics, 2019

Integrated Rough Fuzzy Clustering for Categorical data Analysis.

Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik

Fuzzy Sets Syst., 2019

Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image.

Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik

Proceedings of the TENCON 2019, 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

Proceedings of the TENCON 2019, 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

Proceedings of the Pattern Recognition and Machine Intelligence, 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

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.

Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Controlling Packet Drops to Improve Freshness of information.

Veeraruna Kavitha, Eitan Altman, Indrajit Saha

CoRR, 2018

Machine Learning for Object Labelling.

Indrajit Saha, Somnath Rakshit, Tanay Ghosh

Proceedings of the TENCON 2018, 2018

Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data.

Somnath Rakshit, Indrajit Saha, Subha Shankar Chakraborty, Dariusz Plewczynski

Proceedings of the TENCON 2018, 2018

Random Fixed Points, Limits and Systemic Risk.

Veeraruna Kavitha, Indrajit Saha, Sandeep Juneja

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Improving Modified Differential Evolution for Fuzzy Clustering.

Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar, Ujjwal Maulik

Proceedings of the Hybrid Intelligent Systems, 2017

Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network.

Indrajit Saha, Nivriti Debnath

Proceedings of the Hybrid Intelligent Systems, 2017

Integrated Classifier: A Tool for Microarray Analysis.

Shib Sankar Bhowmick, Indrajit Saha, Luís Rato, Debotosh Bhattacharjee

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

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

Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer.

Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Biomarker identification using next generation sequencing data of RNA.

Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee

Proceedings of the 2016 International Conference on Advances in Computing, 2016

A new evolutionary microRNA marker selection using next-generation sequencing data.

Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick, Ujjwal Maulik, Piotr Lipinski

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Ensemble based rough fuzzy clustering for categorical data.

Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik

Knowl. Based Syst., 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

Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer.

Indrajit Saha, Shib Sankar Bhowmick, Filippo Geraci, Marco Pellegrini, Debotosh Bhattacharjee, Ujjwal Maulik, Dariusz Plewczynski

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.

Giovanni Mazzocco, Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee, Dariusz Plewczynski

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

A new evolutionary gene selection technique.

Adrian Lancucki, Indrajit Saha, Piotr Lipinski

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multi-level thresholding using quantum inspired meta-heuristics.

Sandip Dey, Indrajit Saha, Siddhartha Bhattacharyya, Ujjwal Maulik

Knowl. Based Syst., 2014

Incremental learning based multiobjective fuzzy clustering for categorical data.

Indrajit Saha, Ujjwal Maulik

Inf. Sci., 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

Proceedings of the BIOINFORMATICS 2014, 2014

Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation.

Indrajit Saha, Ujjwal Maulik

Proceedings of the Advanced Computational Approaches to Biomedical Engineering, 2014

2013

Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems.

Indrajit Saha, Ujjwal Maulik, Michal Lukasik, Dariusz Plewczynski

Proceedings of the Man-Machine Interactions 3, 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

Proceedings of the Man-Machine Interactions 3, 2013

Evaluation of Machine Learning Algorithms on Protein-Protein Interactions.

Indrajit Saha, Tomas Klingström, Simon Forsberg, Johan Wikander, Julian Zubek, Marcin Kierczak, Dariusz Plewczynski

Proceedings of the Man-Machine Interactions 3, 2013

Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering.

Indrajit Saha, Debasree Maity, Ujjwal Maulik

Proceedings of the International Conference on Advances in Computing, 2013

New quantum inspired meta-heuristic methods for multi-level thresholding.

Sandip Dey, Indrajit Saha, Ujjwal Maulik, Siddhartha Bhattacharyya

Proceedings of the International Conference on Advances in Computing, 2013

2012

SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation.

Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski

IEEE Geosci. Remote. Sens. Lett., 2012

Improved differential evolution for microarray analysis.

Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Int. J. Data Min. Bioinform., 2012

Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts.

Debasree Maity, Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Rough Set Based Fuzzy K-Modes for Categorical Data.

Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note.

Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski

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.

Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski

Fundam. Informaticae, 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

A new multi-objective technique for differential fuzzy clustering.

Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski

Appl. Soft Comput., 2011

PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering.

Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically.

Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski

Proceedings of the Man-Machine Interactions 2, 2011

2010

Integrating Clustering and Supervised Learning for Categorical Data Analysis.

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha

IEEE Trans. Syst. Man Cybern. Part A, 2010

Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification.

Ujjwal Maulik, Indrajit Saha

IEEE Trans. Geosci. Remote. Sens., 2010

Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering.

Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski

Proceedings of the STAIRS 2010, 2010

Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis.

Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay

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.

Indrajit Saha

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.

Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay

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.

Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery.

Ujjwal Maulik, Indrajit Saha

Pattern Recognit., 2009

An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation.

Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Proceedings of the Applications of Evolutionary Computing, 2009

2008

Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering.

Indrajit Saha, Anirban Mukhopadhyay

Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008