DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein–Protein Interaction Profiles S Mallik, T Bhadra, A Mukherji IEEE transactions on nanobioscience 17 (2), 117-125, 2018 | 16 | 2018 |
Recent landscape of deep learning intervention and consecutive clustering on biomedical diagnosis A Mukherji, A Mondal, R Banerjee, S Mallik Artificial Intelligence and Applications, 2022 | 7 | 2022 |
Evaluation and Optimization of Biomedical Image-Based Deep Convolutional Neural Network Model for COVID-19 Status Classification S Ghosh, S Banerjee, S Das, A Hazra, S Mallik, Z Zhao, A Mukherji Applied Sciences 12 (21), 10787, 2022 | 4 | 2022 |
A Comprehensive View on the Progress of Organoid Research with an Emphasis on its Relevance to Disease Characterization Chandra KISHORE,Vaishali Ji,Saurav Mallik, Ayan MUKHERJI,Namrata TOMAR ... Biomedical and Environmental Sciences 36 (10), 959-971, 2023 | 2 | 2023 |
Machine learning and rule mining techniques in the study of gene inactivation and rna interference S Mallik, U Maulik, N Tomar, T Bhadra, A Mukhopadhyay, A Mukherji Modulating Gene Expression-Abridging the RNAi and CRISPR-Cas9 Technologies, 2019 | 2 | 2019 |
Federated Learning procedure for Alzheimer’s Disease Detection through Fine-tuning GoogLeNet vs. Centralized Approaches A Mukherji, A Kumar Acharya, S Mohajon Turjya, A Bandyopadhyay International Journal of Computing and Digital Systems 17 (1), 1-10, 2024 | | 2024 |
Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier S Das, A Hazra, SK Pati, S Ghosh, S Mallik, S Banerjee, A Mukherji, A Li, ... 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |