| The future of human activity recognition: deep learning or feature engineering? R Kanjilal, I Uysal Neural Processing Letters 53 (1), 561-579, 2021 | 25 | 2021 |
| Neuro-fuzzy controller design to navigate unmanned vehicle with construction of traffic rules to avoid obstacles B Barman, R Kanjilal, A Mukhopadhyay International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2016 | 11 | 2016 |
| Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series R Kanjilal, I Uysal Journal of Biomedical Informatics 134, 104180, 2022 | 4 | 2022 |
| Machine learning based human activity recognition system and related methods R Kanjilal, I Uysal US Patent App. 18/175,423, 2023 | | 2023 |
| Subtransfer Learning in Human Activity Recognition: Boosting the Outlier User Accuracy R Kanjilal, MF Kucuk, I Uysal IEEE Sensors Journal 23 (20), 25005-25015, 2023 | | 2023 |
| Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost Practical Performance R Kanjilal University of South Florida, 2022 | | 2022 |
| Preservation module prediction by weighted differentially coexpressed gene network analysis (WDCGNA) of HIV-1 disease: a case study for cancer R Kanjilal, B Barman, MK Kundu Handbook of Computational Intelligence in Biomedical Engineering and …, 2021 | | 2021 |
Ismail Uysal, Ph.D.University of South FloridaVerified email at usf.edu
