Indrajit Saha

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 33

Top Topics

Categorical Data

Machine Learning

Top Venues

Comput. Biol. Medicine

Publications

Indrajit Saha, Veeraruna Kavitha
Random fixed points, systemic risk and resilience of heterogeneous financial network. Ann. Oper. Res. 336 (1-2) (2024)
Urban Larsson, Indrajit Saha, Makoto Yokoo
Subtraction games in more than one dimension. Theor. Comput. Sci. 1016 (2024)
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, Giovanni Felici
Predicting Transcription Factor Binding Sites using Transformer based Capsule Network. CoRR (2023)
Indrajit Saha, Veeraruna Kavitha
Systemic-Risk and Evolutionary Stable Strategies in a Financial Network. Dyn. Games Appl. 13 (3) (2023)
Nimisha Ghosh, Indrajit Saha, Dariusz Plewczynski
Genome-Wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1. IEEE Access 10 (2022)
Indrajit Saha, Nimisha Ghosh, Ayan Pradhan, Nikhil Sharma, Debasree Maity, Kaushik Mitra
Whole genome analysis of more than 10 000 SARS-CoV-2 virus unveils global genetic diversity and target region of NSP6. Briefings Bioinform. 22 (2) (2021)
Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar, Ujjwal Maulik
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers. Comput. Biol. Medicine 131 (2021)
Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu
Controlling Fake News by Collective Tagging: A Branching Process Analysis. ACC (2021)
Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu
Controlling Fake News by Collective Tagging: A Branching Process Analysis. IEEE Control. Syst. Lett. 5 (6) (2021)
Nimisha Ghosh, Indrajit Saha, Nikhil Sharma
Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities. Comput. Biol. Medicine 138 (2021)
Arijit Das, Indrajit Saha, Rafal Scherer
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification. Sensors 20 (23) (2020)
Motiur Rahman, Dilshad Islam, Rokeya Jahan Mukti, Indrajit Saha
A deep learning approach based on convolutional LSTM for detecting diabetes. Comput. Biol. Chem. 88 (2020)
Indrajit Saha, Veeraruna Kavitha
Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies. NetGCooP (2020)
Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu
Controlling Fake News by Tagging: A Branching Process Analysis. CoRR (2020)
Jnanendra Prasad Sarkar, Indrajit Saha, Sinjan Chakraborty, Ujjwal Maulik
Machine learning integrated credibilistic semi supervised clustering for categorical data. Appl. Soft Comput. 86 (2020)
Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik
Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image. TENCON (2019)
Indrajit Saha, Somnath Rakshit, Michal Wlasnowolski, Dariusz Plewczynski
Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. TENCON (2019)
Indrajit Saha, Somnath Rakshit, Michal Denkiewicz, Jnanendra Prasad Sarkar, Debasree Maity, Ujjwal Maulik, Dariusz Plewczynski
Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes. PReMI (2) (2019)
Namrata Pant, Somnath Rakshit, Sushmita Paul, Indrajit Saha
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. J. Biomed. Informatics 97 (2019)
Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. GECCO (Companion) (2019)
Somnath Rakshit, Indrajit Saha, Michal Wlasnowolski, Ujjwal Maulik, Dariusz Plewczynski
Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. ICAISC (2) (2019)
Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik
Integrated Rough Fuzzy Clustering for Categorical data Analysis. Fuzzy Sets Syst. 361 (2019)
Somnath Rakshit, Indrajit Saha, Subha Shankar Chakraborty, Dariusz Plewczynski
Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. TENCON (2018)
Indrajit Saha, Somnath Rakshit, Tanay Ghosh
Machine Learning for Object Labelling. TENCON (2018)
Veeraruna Kavitha, Indrajit Saha, Sandeep Juneja
Random Fixed Points, Limits and Systemic Risk. CDC (2018)
Veeraruna Kavitha, Eitan Altman, Indrajit Saha
Controlling Packet Drops to Improve Freshness of information. CoRR (2018)
Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar, Ujjwal Maulik
Improving Modified Differential Evolution for Fuzzy Clustering. HIS (2017)
Indrajit Saha, Nivriti Debnath
Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network. HIS (2017)
Shib Sankar Bhowmick, Indrajit Saha, Luís Rato, Debotosh Bhattacharjee
Integrated Classifier: A Tool for Microarray Analysis. CICBA (2) (2017)
Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee
Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer. RAIT (2016)
Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee
Biomarker identification using next generation sequencing data of RNA. ICACCI (2016)
Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik
Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation. Appl. Soft Comput. 46 (2016)
Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick, Ujjwal Maulik, Piotr Lipinski
A new evolutionary microRNA marker selection using next-generation sequencing data. CEC (2016)
Giovanni Mazzocco, Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee, Dariusz Plewczynski
MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins. PReMI (2015)
Adrian Lancucki, Indrajit Saha, Piotr Lipinski
A new evolutionary gene selection technique. CEC (2015)
Indrajit Saha, Benedykt Rak, Shib Sankar Bhowmick, Ujjwal Maulik, Debotosh Bhattacharjee, Uwe Koch, Michal Lazniewski, Dariusz Plewczynski
Binding Activity Prediction of Cyclin-Dependent Inhibitors. J. Chem. Inf. Model. 55 (7) (2015)
Indrajit Saha, Shib Sankar Bhowmick, Filippo Geraci, Marco Pellegrini, Debotosh Bhattacharjee, Ujjwal Maulik, Dariusz Plewczynski
Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer. SEMCCO (2015)
Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik
Ensemble based rough fuzzy clustering for categorical data. Knowl. Based Syst. 77 (2015)
Sandip Dey, Indrajit Saha, Siddhartha Bhattacharyya, Ujjwal Maulik
Multi-level thresholding using quantum inspired meta-heuristics. Knowl. Based Syst. 67 (2014)
Indrajit Saha, Ujjwal Maulik
Incremental learning based multiobjective fuzzy clustering for categorical data. Inf. Sci. 267 (2014)
Shib Sankar Bhowmick, Indrajit Saha, Giovanni Mazzocco, Ujjwal Maulik, Luís Rato, Debotosh Bhattacharjee, Dariusz Plewczynski
Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction. BIOINFORMATICS (2014)
Indrajit Saha, Tomas Klingström, Simon Forsberg, Johan Wikander, Julian Zubek, Marcin Kierczak, Dariusz Plewczynski
Evaluation of Machine Learning Algorithms on Protein-Protein Interactions. ICMMI (2013)
Indrajit Saha, Ujjwal Maulik, Michal Lukasik, Dariusz Plewczynski
Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems. ICMMI (2013)
Indrajit Saha, Debasree Maity, Ujjwal Maulik
Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering. ICACCI (2013)
Sandip Dey, Indrajit Saha, Ujjwal Maulik, Siddhartha Bhattacharyya
New quantum inspired meta-heuristic methods for multi-level thresholding. ICACCI (2013)
Indrajit Saha, Tomas Klingström, Simon Forsberg, Johan Wikander, Julian Zubek, Marcin Kierczak, Dariusz Plewczynski
Erratum: Evaluation of Machine Learning Algorithms on Protein-Protein Interactions. ICMMI (2013)
Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Improved differential evolution for microarray analysis. Int. J. Data Min. Bioinform. 6 (1) (2012)
Debasree Maity, Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts. SocProS (2012)
Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik
Rough Set Based Fuzzy K-Modes for Categorical Data. SEMCCO (2012)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski
SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 9 (1) (2012)
Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note. BIC-TA (1) (2012)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski
Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis. Expert Syst. Appl. 38 (12) (2011)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis. Fundam. Informaticae 106 (1) (2011)
Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering. ISMIS (2011)
Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically. ICMMI (2011)
Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
A new multi-objective technique for differential fuzzy clustering. Appl. Soft Comput. 11 (2) (2011)
Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. RSCTC (2010)
Indrajit Saha
Use of Multiobjective Differential Fuzzy Clustering with ANN Classifier for Unsupervised Pattern Classification: Application to Microarray Analysis. RCIS (2010)
Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image. ICEIS (2) (2010)
Ujjwal Maulik, Indrajit Saha
Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification. IEEE Trans. Geosci. Remote. Sens. 48 (9) (2010)
Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha
Integrating Clustering and Supervised Learning for Categorical Data Analysis. IEEE Trans. Syst. Man Cybern. Part A 40 (4) (2010)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski
Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering. STAIRS (2010)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski
Real-coded differential crisp clustering for MRI brain image segmentation. IEEE Congress on Evolutionary Computation (2010)
Ujjwal Maulik, Indrajit Saha
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery. Pattern Recognit. 42 (9) (2009)
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. EvoWorkshops (2009)
Indrajit Saha, Anirban Mukhopadhyay
Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering. ICIIS (2008)