Selected Publications

  • A new wrapper feature selection method for language-invariant offline signature verification, D Banerjee, B Chatterjee, P Bhowal, T Bhattacharyya, S Malakar, ...Expert Systems with Applications 186, 115756 1 2021

  • Distance transform based text-line extraction from unconstrained handwritten document images, SK Bera, S Kundu, N Kumar, R Sarkar, Expert Systems with Applications 186, 115666 2021

  • Segmentation of brain MRI using an altruistic Harris Hawks’ Optimization algorithm, R Bandyopadhyay, R Kundu, D Oliva, R Sarkar Knowledge-Based Systems 232, 107468 2021

  • Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans, R Bandyopadhyay, A Basu, E Cuevas, R Sarkar, Applied Soft Computing 111, 107698 3 2021

  • COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19, A Banerjee, R Bhattacharya, V Bhateja, PK Singh, R Sarkar, Measurement, 110289 2021

  • Learning automata based particle swarm optimization for solving class imbalance problem, A Chakraborty, KK Ghosh, R De, E Cuevas, R Sarkar, Applied Soft Computing, 107959 2021

  • Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm, S Ghosh, SK Hassan, AH Khan, A Manna, S Bhowmik, R Sarkar, Soft Computing, 1-19 2021

  • COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble, R Kundu, PK Singh, S Mirjalili, R Sarkar, Computers in Biology and Medicine, 104895 2021

  • AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection, S Ahmed, KK Ghosh, S Mirjalili, R Sarkar, Knowledge-Based Systems 228, 107283 2 2021

  • A two-tier feature selection method using Coalition game and Nystrom sampling for screening COVID-19 from chest X-Ray images, P Bhowal, S Sen, R Sarkar, Journal of Ambient Intelligence and Humanized Computing, 1-16 2021

  • Handwritten English word recognition using a deep learning based object detection architecture, R Mondal, S Malakar, EH Barney Smith, R Sarkar, Multimedia Tools and Applications, 1-26 2021

  • Enhancement of image contrast using Selfish Herd Optimizer, R Guha, I Alam, SK Bera, N Kumar, R Sarkar, Multimedia Tools and Applications, 1-21 2021

  • Pneumonia detection in chest X-ray images using an ensemble of deep learning models, R Kundu, R Das, ZW Geem, GT Han, R Sarkar, PloS one 16 (9), e0256630 2 2021

  • A two-phase gradient based feature embedding approach, A Chatterjee, S Ghosh, A Chakraborty, SK Ghosal, R Sarkar, Journal of Information Security and Applications 61, 102898 2021

  • Application of active learning in DNA microarray data for cancerous gene identification, S Begum, R Sarkar, D Chakraborty, S Sen, U Maulik, Expert Systems with Applications 177, 114914 2021

  • ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images, R Kundu, PK Singh, M Ferrara, A Ahmadian, R Sarkar, Multimedia Tools and Applications, 1-20 2 2021

  • Image steganography using deep learning based edge detection, B Ray, S Mukhopadhyay, S Hossain, SK Ghosal, R Sarkar, Multimedia Tools and Applications, 1-29 1 2021

  • BYANJON: A Ground Truth Preparation System for Online Handwritten Bangla Documents, S Sen, A Bhattacharyya, R Sarkar, K Roy, Transactions on Asian and Low-Resource Language Information Processing 20 (6 … 2021

  • Genetic Dropout: An Application to Handwritten Indic Script Classification, R Sarkar, M Nasipuri, Advanced Techniques for IoT Applications: Proceedings of EAIT 2020, 3 2021

  • CTRL–CapTuRedLight: a novel feature descriptor for online Assamese numeral recognition, S Ghosh, A Chatterjee, S Sen, N Kumar, R Sarkar, Multimedia Tools and Applications 80 (20), 30033-30056 2021

  • A fuzzy rank-based ensemble of CNN models for classification of cervical cytology, A Manna, R Kundu, D Kaplun, A Sinitca, R Sarkar, Scientific Reports 11 (1), 1-18 1 2021

  • Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images, S Das, SD Roy, S Malakar, JD Velásquez, R Sarkar, Big Data Research 25, 100233 6 2021

  • Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans, R Kundu, H Basak, PK Singh, A Ahmadian, M Ferrara, R Sarkar, Scientific reports 11 (1), 1-12 8 2021

  • Quantum squirrel inspired algorithm for gene selection in methylation and expression data of prostate cancer, M Ghosh, S Sen, R Sarkar, U Maulik, Applied Soft Computing 105, 107221 1 2021

  • Choquet Fuzzy Integral-based Classifier Ensemble Technique for COVID-19 Detection, S Dey, R Bhattacharya, S Malakar, S Mirjalili, R Sarkar, Computers in Biology and Medicine, 104585 3 2021

  • GRANet: A Deep Learning Model for Classification of Age and Gender from Facial Images, A Garain, B Ray, PK Singh, A Ahmadian, N Senu, R Sarkar, IEEE Access 2021

  • Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure, SS Sarkar, MS Ansari, A Mahanty, K Mali, R Sarkar, Integrating Materials and Manufacturing Innovation 10 (2), 286-298 2021

  • Improved coral reefs optimization with adaptive β -hill climbing for feature selection, S Ahmed, KK Ghosh, L Garcia-Hernandez, A Abraham, R Sarkar, Neural Computing and Applications 33 (12), 6467-6486 2 2021

  • Deluge based Genetic Algorithm for feature selection, R Guha, M Ghosh, S Kapri, S Shaw, S Mutsuddi, V Bhateja, R Sarkar, Evolutionary intelligence 14 (2), 357-367 40 2021

  • A Genetic Algorithm Based Feature Selection Approach for Microstructural Image Classification, AH Khan, SS Sarkar, K Mali, R Sarkar, Experimental Techniques, 1-13 2021

  • Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach, Y Karbhari, A Basu, ZW Geem, GT Han, R Sarkar, Diagnostics 11 (5), 895 6 2021

  • Intrusion detection in cyber-physical systems using a generic and domain specific deep autoencoder model, S Thakur, A Chakraborty, R De, N Kumar, R Sarkar, Computers & Electrical Engineering 91, 107044 4 2021

  • Transfer learning with fine tuning for human action recognition from still images, S Chakraborty, R Mondal, PK Singh, R Sarkar, D Bhattacharjee, Multimedia Tools and Applications 80 (13), 20547-20578 2 2021

  • CGA: A new feature selection model for visual human action recognition, R Guha, AH Khan, PK Singh, R Sarkar, D Bhattacharjee, Neural Computing and Applications 33 (10), 5267-5286 10 2021

  • Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data, KK Ghosh, S Begum, A Sardar, S Adhikary, M Ghosh, M Kumar, R Sarkar, Expert Systems with Applications 169, 114485 2 2021

  • A bi-stage feature selection approach for COVID-19 prediction using chest CT images, S Sen, S Saha, S Chatterjee, S Mirjalili, R Sarkar, Applied Intelligence, 1-16 13 2021

  • A two-stage CNN-based hand-drawn electrical and electronic circuit component recognition system, M Dey, SM Mia, N Sarkar, A Bhattacharya, S Roy, S Malakar, R Sarkar, Neural Computing and Applications, 1-24 1 2021

  • Detection of COVID-19 from CT scan images: A spiking neural network-based approach, A Garain, A Basu, F Giampaolo, JD Velasquez, R Sarkar, Neural Computing and Applications, 1-14 9 2021

  • Carcinoma type classification from high-resolution breast microscopy images using a hybrid ensemble of deep convolutional features and gradient boosting trees classifiers, R Sanyal, D Kar, R Sarkar, IEEE/ACM Transactions on Computational Biology and Bioinformatics 3 2021

  • A Hybrid Swarm and Gravitation-based feature selection algorithm for handwritten Indic script classification problem, R Guha, M Ghosh, PK Singh, R Sarkar, M Nasipuri, Complex & Intelligent Systems 7 (2), 823-839 2 2021

  • Median Filter Aided CNN Based Image Denoising: An Ensemble Aprroach, S Dey, R Bhattacharya, F Schwenker, R Sarkar, Algorithms 14 (4), 109 1 2021

  • A new feature extraction approach for script invariant handwritten numeral recognition, PK Singh, I Chatterjee, R Sarkar, EB Smith, M Nasipuri, Expert Systems, e12699 1 2021

  • Secured image steganography based on Catalan transform, S Mukhopadhyay, S Hossain, SK Ghosal, R Sarkar, Multimedia Tools and Applications 80 (9), 14495-14520 2 2021

  • FuzzyGCP: A deep learning architecture for automatic spoken language identification from speech signals, A Garain, PK Singh, R Sarkar, Expert Systems with Applications 168, 114416 1 2021

  • LAGOA: Learning automata based grasshopper optimization algorithm for feature selection in disease datasets, C Dey, R Bose, KK Ghosh, S Malakar, R Sarkar

  • Journal of Ambient Intelligence and Humanized Computing, 1-20 2 2021

  • Hybridization of ring theory-based evolutionary algorithm and particle swarm optimization to solve class imbalance problem, SS Shaw, S Ahmed, S Malakar, L Garcia-Hernandez, A Abraham, ..., Complex & Intelligent Systems, 1-23 2 2021

  • A harmony search-based wrapper-filter feature selection approach for microstructural image classification, SS Sarkar, KH Sheikh, A Mahanty, K Mali, A Ghosh, R Sarkar, Integrating Materials and Manufacturing Innovation 10 (1), 1-19 4 2021

  • HP_DocPres: a method for classifying printed and handwritten texts in doctor’s prescription, D Dhar, A Garain, PK Singh, R Sarkar, Multimedia Tools and Applications 80 (7), 9779-9812 1 2021

  • BINYAS: a complex document layout analysis system, S Bhowmik, S Kundu, R Sarkar, Multimedia Tools and Applications 80 (6), 8471-8504 2 2021

  • COVID-19 detection by optimizing deep residual features with improved clustering-based golden ratio optimizer, S Chattopadhyay, A Dey, PK Singh, ZW Geem, R Sarkar Diagnostics 11 (2), 315 6 2021

  • A non-parametric binarization method based on ensemble of clustering algorithms, SK Bera, S Ghosh, S Bhowmik, R Sarkar, M Nasipuri, Multimedia Tools and Applications 80 (5), 7653-7673 6 2021

  • Grzegorz Bokota, Jacek Sroka, Subhadip Basu, Nirmal Das, Pawel Trzaskoma, Yana Yushkevich, Agnieszka Grabowska, Adriana Magalska, Dariusz Plewczynski, “PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies,”, BMC bioinformatics 22 (1), 1-15, 2021.

  • Indra Narayan Dutta, Neelotpal Chakraborty, Ayatullah Faruk Mollah, Subhadip Basu, Ram Sarkar, “BOB: a bi-level overlapped binning procedure for scene word binarization,” Multimedia Tools and Applications 80 (5), 7609-7635, 2021.

  • S. Malakar, R. Sarkar, Subhadip Basu, Mahantapas Kundu, M. Nasipuri, “An image database of handwritten Bangla words with automatic benchmarking facilities for character segmentation algorithms,” Neural Comput. Appl., 33, pages449–468(2021).

  • Monika Zaręba-Kozioł, Anna Bartkowiak-Kaczmarek, Matylda Roszkowska, Krystian Bijata, Izabela Figiel, Anup Kumar Halder, Paulina Kamińska, Franziska E Müller, Subhadip Basu, Weiqi Zhang, Evgeni Ponimaskin, Jakub Włodarczyk, “S-Palmitoylation of Synaptic Proteins as a Novel Mechanism Underlying Sex-Dependent Differences in Neuronal Plasticity,” International Journal of Molecular Sciences, 22 (12), 6253.

  • Ewa Bączyńska, Katarzyna Karolina Pels, Subhadip Basu, Jakub Włodarczyk, Błażej Ruszczycki, “Quantification of Dendritic Spines Remodeling under Physiological Stimuli and in Pathological Conditions,” International Journal of Molecular Sciences, 22(8), 4053.

  • Neelotpal Chakraborty, Soumyadeep Kundu, Sayantan Paul, Ayatullah Faruk Mollah, Subhadip Basu, Ram Sarkar, “Language identification from multi-lingual scene text images: a CNN based classifier ensemble approach,” Journal of Ambient Intelligence and Humanized Computing, 12, 7997-8008 (2021)

  • Shaswata Saha, Neelotpal Chakraborty, Soumyadeep Kundu, Sayantan Paul, Ayatullah Faruk Mollah, Subhadip Basu, Ram Sarkar, “Multi-lingual scene text detection and language identification,” Pattern Recognition Letters 138, 16-22, 2020.

  • Subhadip Basu, U Maulik, U Pal, “Editorial: Special Issue on Deep Learning for Video Text Analysis,” Pattern Recognition Letters 138, 305-307, 2020.

  • Yvonne Schill, Monika Bijata, Olga Kopach, Volodymyr Cherkas, Dalia Abdel-Galil, Katrin Böhm, Markus H Schwab, Michiyuki Matsuda, Valerie Compan, Subhadip Basu, Krystian Bijata, Jakub Wlodarczyk, Lucie Bard, Nicholas Cole, Alexander Dityatev, Andre Zeug, Dmitri A Rusakov, Evgeni Ponimaskin, “Serotonin 5-HT 4 receptor boosts functional maturation of dendritic spines via RhoA-dependent control of F-actin”, Communications Biology, Nature Publication Group, 3 (1), 1-16, 2020.

  • Urban, Paulina, Vahid Rezaei Tabar, Michał Denkiewicz, Grzegorz Bokota, Nirmal Das, Subhadip Basu, and Dariusz Plewczynski. "The Mixture of Autoregressive Hidden Markov Models of Morphology for Dentritic Spines during Activation Process." Journal of Computational Biology (2020), 27 (9), 1471-1485.

  • A.K. Halder, S.S. Bandyopadhyay, P. Chatterjee, M. Nasipuri, D. Plewczynski, S. Basu, “JUPPI: A multi-level feature based method for PPI prediction and a refined strategy for performance assessment,” IEEE/ACM Transactions on Computational Biology & Bioinformatics, in press (2020). https://doi.org/10.1109/tcbb.2020.3004970.

  • Anup Kumar Halder, Michał Denkiewicz, Kaustav Sengupta, Subhadip Basu, Dariusz Plewczynski, “Aggregated Network Centrality Shows Non-Random Structure of Genomic and Proteomic Networks,” Methods, Elsevier, Volumes 181–182, Pages 5-14, October 2020.

  • Halder, A.K., Chatterjee, P., M., Nasipuri, Plewczynski, D., Basu, Subhadip, “3gClust: Human Protein Cluster Analysis,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 16, Issue: 6, pp. 1773-1784, 2019.

  • S. Bhowmik, S. Malakar, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri, Off-line Bangla handwritten word recognition: a holistic approach, Neural Comput. Appl. 31 (2019) 5783–5798.

  • S. Saha, A. Prasad, P. Chatterjee, S. Basu, M. Nasipuri, Protein function prediction from dynamic protein interaction network using gene expression data, J. Bioinform. Comput. Biol. 17 (2019).

  • Blazej Ruszczycki, Katarzyna Karolina Pels, Agnieszka Walczak, Katarzyna Zamłyńska, Michał Such, Andrzej Antoni Szczepankiewicz, Małgorzata Hanna Hall, Adriana Magalska, Marta Magnowska, Artur Wolny, Grzegorz Bokota, Subhadip Basu, Ayan Pal, Dariusz Plewczynski, Grzegorz Wilczynski, “Three-Dimensional Segmentation and Reconstruction of Neuronal Nuclei in Confocal Microscopic Images,” Frontiers in Neuroanatomy, 13 (81), 2019.

  • S Saha, P Chatterjee, S Basu, M Nasipuri, D Plewczynski, “FunPred 3.0: improved protein function prediction using protein interaction network,” PeerJ 7, e6830, 2019.

  • Adam Krzystyniak, Ewa Baczynska, Marta Magnowska, Svitlana Antoniuk, Matylda Roszkowska, Monika Zareba-Koziol, Nirmal Das, Subhadip Basu, Michal Pikula, Jakub Wlodarczyk, “Prophylactic Ketamine Treatment Promotes Resilience to Chronic Stress and Accelerates Recovery: Correlation with Changes in Synaptic Plasticity in the CA3 Subregion of the Hippocampus,” International Journal of Molecular Sciences 20 (7), 1726, 2019.

  • P Urban, V Rezaei, G Bokota, M Denkiewicz, S Basu, D Plewczyński, “Dendritic Spines Taxonomy: The Functional and Structural Classification• Time-Dependent Probabilistic Model of Neuronal Activation,” Journal of Computational Biology, 26 (4), 322-335, 2019.

  • S Paul, S Saha, S Basu, PK Saha, M Nasipuri, “Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter,” Multimedia Tools and Applications, 78 (13), 18017-18036, 2019.

  • Sovan Saha, A. Prasad, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri, “Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features,” Journal of Bioinformatics and Computational Biology, 16 (06), 1850025, 2019.

  • S Bhowmik, S Malakar, R Sarkar, S Basu, M Kundu, M Nasipuri, “Off-line Bangla handwritten word recognition: a holistic approach,”, Neural Computing and Applications, 31 (10), 5783-5798, 2019.

  • Subhadip Basu, Dariusz Plewczynski, “Emerging and threatening infectious diseases,” Briefings in Functional Genomics, vol. 17, no.6, pp. 372-373, 2018.

  • A. Banerjee, S. Basu, Subhadip Basu, M. Nasipuri, “ARTeM: a new system for human authentication using finger vein images”, Multimedia Tools and Applications, 77(5), 5857-5884, 2018.

  • Subhadip Basu, P. K. Saha, M. Roszkowska, M. Magnowska, E. Baczynska, N. Das, D. Plewczynski and J. Wlodarczyk, “Quantitative 3-D morphometric analysis of individual dendritic spines,” Scientific Reports, 8: 354, 2018.

  • P. Dutta, S. Basu and M. Kundu, “Assessment of semantic similarity between proteins using information content and topological properties of the Gene Ontology graph”, IEEE/ACM Transactions on Computational Biology and Bioinformatics Volume: 15, Issue: 3, pp. 839-849, 2018.

  • PK Singh, R Sarkar, N Das, S Basu, M Kundu, M Nasipuri, “Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images”, Multimedia Tools and Applications, Springer, Volume 77, Issue 7, pp 8441–8473, 2018.

  • Anup Kumar Halder, Pritha Dutta, Mahantapas Kundu, Subhadip Basu and Mita Nasipuri, “Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-Human interactions”, Briefings in Functional Genomics, vol. 17, no.6, pp. 381-391, 2017.

  • Sovan Saha, Kaustav Sengupta, Subhadip Basu, Mita Nasipuri and Piyali Chatterjee, “Analysis of Protein Targets in Pathogen-Host Interaction in Infectious Diseases: A Case Study on Plasmodium falciparum and Homo sapiens Interaction Network”, Briefings in Functional Genomics, vol. 17, no.6, pp. 441-450, 2017.

  • Anupam Banerjee, Priti Das, Orachorm Mekkerdchoo, Chaleeda B, Georges Srzednicki, Mita Nasipuri, and Subhadip Basu, “A soft computing tool for species classification and prediction of glucomannan content in Amorphophallus genus”, Engineering in Life Sciences, Volume17, Issue12, Pages 1254-1263, 2017.

  • Pritha Dutta, Anup Kumar Halder, Subhadip Basu, and Mahantapas Kundu, “A survey on Ebola genome and current trends in computational research on the Ebola virus”, Briefings in Functional Genomics, vol. 17, no.6, pp. 374-380, 2017.