| BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach M Kalemati, M Zamani Emani, S Koohi PLOS Computational Biology 19 (3), e1011036, 2023 | 28 | 2023 |
| CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks M Kalemati, S Darvishi, S Koohi Communications Biology 6 (1), 492, 2023 | 11 | 2023 |
| A new queuing management mechanism for congestion performance improvement in wireless multimedia sensor networks O Boroumand, M Kalemati, M Abbaspour 6th International Symposium on Telecommunications (IST), 715-720, 2012 | 4 | 2012 |
| A novel design of reversible squarer circuit M Kalemati, MZ Moghadam, K Navi Int. J. Emerg. Sci 3 (4), 388-396, 2013 | 3 | 2013 |
| A novel reversible design for double edge triggered flip-flops and new designs of reversible sequential circuits MZ Moghadam, K Navi, M Kalemati Comput. Syst. Sci. Eng. 29 (3), 197-204, 2014 | 2 | 2014 |
| DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks M Kalemati, M Zamani Emani, S Koohi BMC genomics 25 (1), 411, 2024 | 1 | 2024 |
| Depth-optimized reversible 4: 2 and 6: 2 compressors M Kalemati, MZ Moghadam, K Navi Int. J. Emerg. Sci 3 (4), 359-369, 2013 | 1 | 2013 |
| ParaAntiProt provides paratope prediction using antibody and protein language models M Kalemati, A Noroozi, A Shahbakhsh, S Koohi Scientific Reports 14 (1), 29141, 2024 | | 2024 |
| Pip-SW: Pipeline Architectures for Accelerating Smith-Waterman Algorithm on FPGA Platforms M Kalemati, AD Nayeri, S Koohi IEEE Transactions on Emerging Topics in Computing, 2024 | | 2024 |
