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Indrajit Saha
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2020 – today
- 2024
- [j26]Indrajit Saha, Veeraruna Kavitha
:
Random fixed points, systemic risk and resilience of heterogeneous financial network. Ann. Oper. Res. 336(1-2): 383-433 (2024) - [j25]Urban Larsson, Indrajit Saha
Subtraction games in more than one dimension. Theor. Comput. Sci. 1016: 114775 (2024) - [i5]Haris Aziz, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun, Mashbat Suzuki, Makoto Yokoo:
Weighted Envy-free Allocation with Subsidy. CoRR abs/2408.08711 (2024) - [i4]Arun Verma, Indrajit Saha, Makoto Yokoo, Bryan Kian Hsiang Low:
Online Fair Division with Contextual Bandits. CoRR abs/2408.12845 (2024) - 2023
- [j24]Indrajit Saha, Veeraruna Kavitha
Systemic-Risk and Evolutionary Stable Strategies in a Financial Network. Dyn. Games Appl. 13(3): 897-928 (2023) - [i3]Nimisha Ghosh, Daniele Santoni, Indrajit Saha, Giovanni Felici:
Predicting Transcription Factor Binding Sites using Transformer based Capsule Network. CoRR abs/2310.15202 (2023) - 2022
- [j23]Nimisha Ghosh
Genome-Wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1. IEEE Access 10: 23708-23715 (2022) - 2021
- [j22]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): 1106-1121 (2021) - [j21]Jnanendra Prasad Sarkar
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers. Comput. Biol. Medicine 131: 104244 (2021) - [j20]Nimisha Ghosh
Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities. Comput. Biol. Medicine 138: 104889 (2021) - [j19]Suyog Kapsikar
Controlling Fake News by Collective Tagging: A Branching Process Analysis. IEEE Control. Syst. Lett. 5(6): 2108-2113 (2021) - [c37]Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu:
Controlling Fake News by Collective Tagging: A Branching Process Analysis. ACC 2021: 1332-1337 - 2020
- [j18]Jnanendra Prasad Sarkar, Indrajit Saha
Machine learning integrated credibilistic semi supervised clustering for categorical data. Appl. Soft Comput. 86 (2020) - [j17]Motiur Rahman
A deep learning approach based on convolutional LSTM for detecting diabetes. Comput. Biol. Chem. 88: 107329 (2020) - [j16]Arijit Das, Indrajit Saha
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification. Sensors 20(23): 6823 (2020) - [c36]Indrajit Saha, Veeraruna Kavitha:
Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies. NetGCooP 2020: 211-228 - [i2]Suyog Kapsikar, Indrajit Saha
Controlling Fake News by Tagging: A Branching Process Analysis. CoRR abs/2009.02275 (2020)
2010 – 2019
- 2019
- [j15]Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik:
Integrated Rough Fuzzy Clustering for Categorical data Analysis. Fuzzy Sets Syst. 361: 1-32 (2019) - [j14]Namrata Pant, Somnath Rakshit
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer. J. Biomed. Informatics 97 (2019) - [c35]Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. GECCO (Companion) 2019: 1846-1854 - [c34]Somnath Rakshit
Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. ICAISC (2) 2019: 271-282 - [c33]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: 139-146 - [c32]Indrajit Saha, Somnath Rakshit, Michal Wlasnowolski
Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes. TENCON 2019: 417-422 - [c31]Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik:
Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image. TENCON 2019: 880-885 - 2018
- [c30]Veeraruna Kavitha, Indrajit Saha
Random Fixed Points, Limits and Systemic Risk. CDC 2018: 5813-5819 - [c29]Indrajit Saha, Somnath Rakshit
Machine Learning for Object Labelling. TENCON 2018: 1420-1425 - [c28]Somnath Rakshit
Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data. TENCON 2018: 1917-1922 - [i1]Veeraruna Kavitha, Eitan Altman, Indrajit Saha
Controlling Packet Drops to Improve Freshness of information. CoRR abs/1807.09325 (2018) - 2017
- [c27]Shib Sankar Bhowmick
Integrated Classifier: A Tool for Microarray Analysis. CICBA (2) 2017: 30-43 - [c26]Indrajit Saha, Nivriti Debnath:
Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network. HIS 2017: 20-29 - [c25]Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar
Improving Modified Differential Evolution for Fuzzy Clustering. HIS 2017: 136-146 - 2016
- [j13]Jnanendra Prasad Sarkar, Indrajit Saha
Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation. Appl. Soft Comput. 46: 527-536 (2016) - [c24]Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick
A new evolutionary microRNA marker selection using next-generation sequencing data. CEC 2016: 2752-2759 - [c23]Shib Sankar Bhowmick
Biomarker identification using next generation sequencing data of RNA. ICACCI 2016: 299-303 - [c22]Shib Sankar Bhowmick
Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer. RAIT 2016: 528-533 - 2015
- [j12]Indrajit Saha
Binding Activity Prediction of Cyclin-Dependent Inhibitors. J. Chem. Inf. Model. 55(7): 1469-1482 (2015) - [j11]Indrajit Saha
Ensemble based rough fuzzy clustering for categorical data. Knowl. Based Syst. 77: 114-127 (2015) - [c21]Adrian Lancucki, Indrajit Saha
A new evolutionary gene selection technique. CEC 2015: 1612-1619 - [c20]Giovanni Mazzocco
MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins. PReMI 2015: 462-471 - [c19]Indrajit Saha, Shib Sankar Bhowmick
Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer. SEMCCO 2015: 116-127 - 2014
- [j10]Indrajit Saha
Incremental learning based multiobjective fuzzy clustering for categorical data. Inf. Sci. 267: 35-57 (2014) - [j9]Sandip Dey, Indrajit Saha
Multi-level thresholding using quantum inspired meta-heuristics. Knowl. Based Syst. 67: 373-400 (2014) - [c18]Shib Sankar Bhowmick
Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction. BIOINFORMATICS 2014: 178-185 - [p1]Indrajit Saha
Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation. Advanced Computational Approaches to Biomedical Engineering 2014: 71-86 - 2013
- [c17]Sandip Dey, Indrajit Saha
New quantum inspired meta-heuristic methods for multi-level thresholding. ICACCI 2013: 1236-1240 - [c16]Indrajit Saha
Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering. ICACCI 2013: 2013-2017 - [c15]Indrajit Saha
Evaluation of Machine Learning Algorithms on Protein-Protein Interactions. ICMMI 2013: 211-218 - [c14]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 - [c13]Indrajit Saha
Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems. ICMMI 2013: 529-536 - 2012
- [j8]Indrajit Saha
Improved differential evolution for microarray analysis. Int. J. Data Min. Bioinform. 6(1): 86-103 (2012) - [j7]Indrajit Saha
SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 9(1): 52-55 (2012) - [c12]Indrajit Saha
Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note. BIC-TA (1) 2012: 217-225 - [c11]Indrajit Saha
Rough Set Based Fuzzy K-Modes for Categorical Data. SEMCCO 2012: 323-330 - [c10]Debasree Maity, Indrajit Saha
Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts. SocProS 2012: 895-903 - 2011
- [j6]Indrajit Saha
A new multi-objective technique for differential fuzzy clustering. Appl. Soft Comput. 11(2): 2765-2776 (2011) - [j5]Indrajit Saha
Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis. Expert Syst. Appl. 38(12): 15122-15133 (2011) - [j4]Indrajit Saha
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis. Fundam. Informaticae 106(1): 45-73 (2011) - [c9]Indrajit Saha
Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically. ICMMI 2011: 307-313 - [c8]Indrajit Saha
PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering. ISMIS 2011: 602-611 - 2010
- [j3]Ujjwal Maulik
Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(9): 3503-3510 (2010) - [j2]Ujjwal Maulik
Integrating Clustering and Supervised Learning for Categorical Data Analysis. IEEE Trans. Syst. Man Cybern. Part A 40(4): 664-675 (2010) - [c7]Indrajit Saha
Real-coded differential crisp clustering for MRI brain image segmentation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c6]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: 21-29 - [c5]Indrajit Saha:
Use of Multiobjective Differential Fuzzy Clustering with ANN Classifier for Unsupervised Pattern Classification: Application to Microarray Analysis. RCIS 2010: 647-656 - [c4]Indrajit Saha
Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. RSCTC 2010: 30-39 - [c3]Indrajit Saha
Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering. STAIRS 2010: 290-302
2000 – 2009
- 2009
- [j1]Ujjwal Maulik
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery. Pattern Recognit. 42(9): 2135-2149 (2009) - [c2]Indrajit Saha
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. EvoWorkshops 2009: 426-431 - 2008
- [c1]Indrajit Saha
Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering. ICIIS 2008: 1-6
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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