Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery U Maulik, I Saha Pattern Recognition 42 (9), 2135-2149, 2009 | 201 | 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 | 169 | 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 | 96 | 2012 |
Multi-level thresholding using quantum inspired meta-heuristics S Dey, I Saha, S Bhattacharyya, U Maulik Knowledge-Based Systems 67, 373-400, 2014 | 76 | 2014 |
A new multi-objective technique for differential fuzzy clustering I Saha, U Maulik, D Plewczynski Applied Soft Computing 11 (2), 2765-2776, 2011 | 74 | 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 | 71 | 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 | 68 | 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 | 64 | 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 | 64 | 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 | 58 | 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 | 56 | 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 | 56 | 2012 |
Ensemble based rough fuzzy clustering for categorical data I Saha, JP Sarkar, U Maulik Knowledge-Based Systems 77, 114-127, 2015 | 50 | 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 | 45 | 2020 |
Integrated rough fuzzy clustering for categorical data analysis I Saha, JP Sarkar, U Maulik Fuzzy Sets and Systems 361, 1-32, 2019 | 38 | 2019 |
Incremental learning based multiobjective fuzzy clustering for categorical data I Saha, U Maulik Information Sciences 267, 35-57, 2014 | 31 | 2014 |
RNA-Seq analysis: methods, applications and challenges F Geraci, I Saha, M Bianchini Frontiers in Genetics 11, 220, 2020 | 27 | 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 | 26 | 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 | 23 | 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 | 22 | 2011 |