Indrajit Saha, PhD
Indrajit Saha, PhD
Assistant Professor, Department of Computer Science and Engineering
Zweryfikowany adres z nitttrkol.ac.in - Strona główna
Cytowane przez
Cytowane przez
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery
U Maulik, I Saha
Pattern Recognition 42 (9), 2135-2149, 2009
Automatic fuzzy clustering using modified differential evolution for image classification
U Maulik, I Saha
IEEE Transactions on Geoscience and Remote Sensing 48 (9), 3503-3510, 2010
Fuzzy clustering of physicochemical and biochemical properties of amino acids
I Saha, U Maulik, S Bandyopadhyay, D Plewczynski
Amino acids 43, 583-594, 2012
Multi-level thresholding using quantum inspired meta-heuristics
S Dey, I Saha, S Bhattacharyya, U Maulik
Knowledge-Based Systems 67, 373-400, 2014
A new multi-objective technique for differential fuzzy clustering
I Saha, U Maulik, D Plewczynski
Applied Soft Computing 11 (2), 2765-2776, 2011
Integrating clustering and supervised learning for categorical data analysis
U Maulik, S Bandyopadhyay, I Saha
IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and …, 2010
Rough possibilistic type-2 fuzzy C-means clustering for MR brain image segmentation
JP Sarkar, I Saha, U Maulik
Applied Soft Computing 46, 527-536, 2016
A review on evolution of emerging SARS-CoV-2 variants based on spike glycoprotein
N Ghosh, S Nandi, I Saha
International immunopharmacology 105, 108565, 2022
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers
JP Sarkar, I Saha, A Sarkar, U Maulik
Computers in Biology and Medicine 131, 104244, 2021
Ensemble learning prediction of protein–protein interactions using proteins functional annotations
I Saha, J Zubek, T Klingström, S Forsberg, J Wikander, M Kierczak, ...
Molecular BioSystems 10 (4), 820-830, 2014
AMS 4.0: consensus prediction of post-translational modifications in protein sequences
D Plewczynski, S Basu, I Saha
Amino Acids 43, 573-582, 2012
SVMeFC: SVM ensemble fuzzy clustering for satellite image segmentation
I Saha, U Maulik, S Bandyopadhyay, D Plewczynski
IEEE Geoscience and Remote Sensing Letters 9 (1), 52-55, 2012
Ensemble based rough fuzzy clustering for categorical data
I Saha, JP Sarkar, U Maulik
Knowledge-Based Systems 77, 114-127, 2015
Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP
I Saha, N Ghosh, D Maity, N Sharma, JP Sarkar, K Mitra
Infection, Genetics and Evolution 85, 104457, 2020
Integrated rough fuzzy clustering for categorical data analysis
I Saha, JP Sarkar, U Maulik
Fuzzy Sets and Systems 361, 1-32, 2019
Incremental learning based multiobjective fuzzy clustering for categorical data
I Saha, U Maulik
Information Sciences 267, 35-57, 2014
RNA-Seq analysis: methods, applications and challenges
F Geraci, I Saha, M Bianchini
Frontiers in Genetics 11, 220, 2020
An improved multi-objective technique for fuzzy clustering with application to IRS image segmentation
I Saha, U Maulik, S Bandyopadhyay
Applications of Evolutionary Computing: EvoWorkshops 2009: EvoCOMNET …, 2009
COVID-DeepPredictor: recurrent neural network to predict SARS-CoV-2 and other pathogenic viruses
I Saha, N Ghosh, D Maity, A Seal, D Plewczynski
Frontiers in genetics 12, 569120, 2021
Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis
I Saha, U Maulik, S Bandyopadhyay, D Plewczynski
Expert Systems with Applications 38 (12), 15122-15133, 2011
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