| Anomaly detection on iot network intrusion using machine learning Z Liu, N Thapa, A Shaver, K Roy, X Yuan, S Khorsandroo 2020 International conference on artificial intelligence, big data …, 2020 | 79 | 2020 |
| Comparison of machine learning and deep learning models for network intrusion detection systems N Thapa, Z Liu, DB Kc, B Gokaraju, K Roy Future Internet 12 (10), 167, 2020 | 69 | 2020 |
| DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction N Thapa, M Chaudhari, S McManus, K Roy, RH Newman, H Saigo, DB Kc BMC bioinformatics 21, 1-10, 2020 | 53 | 2020 |
| Using embedded feature selection and CNN for classification on CCD-INID-V1—A new IoT dataset Z Liu, N Thapa, A Shaver, K Roy, M Siddula, X Yuan, A Yu Sensors 21 (14), 4834, 2021 | 41 | 2021 |
| DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins M Chaudhari, N Thapa, K Roy, RH Newman, H Saigo, BKC Dukka Molecular omics 16 (5), 448-454, 2020 | 23 | 2020 |
| RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites N Thapa, S Hiroto, K Roy, RH Newman, KC Dukka Computational and Structural Biotechnology Journal 18, 852-860, 2020 | 18 | 2020 |
| DTL-DephosSite: Deep transfer learning based approach to predict dephosphorylation sites M Chaudhari, N Thapa, H Ismail, S Chopade, D Caragea, M Köhn, ... Frontiers in cell and developmental biology 9, 662983, 2021 | 16 | 2021 |
| A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites N Thapa, M Chaudhari, AA Iannetta, C White, K Roy, RH Newman, ... Scientific Reports 11 (1), 12550, 2021 | 16 | 2021 |
| Anomaly based intrusion detection for iot with machine learning A Shaver, Z Liu, N Thapa, K Roy, B Gokaraju, X Yuan 2020 IEEE applied imagery pattern recognition workshop (AIPR), 1-6, 2020 | 13 | 2020 |
| Secure cyber defense: An analysis of network intrusion-based dataset CCD-IDSv1 with machine learning and deep learning models N Thapa, Z Liu, A Shaver, A Esterline, B Gokaraju, K Roy Electronics 10 (15), 1747, 2021 | 11 | 2021 |
| Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction N Thapa, M Chaudhari, S McManus, K Roy, RH Newman, H Saigo, DB Kc BMC bioinformatics 23 (1), 349, 2022 | 2 | 2022 |
| Presentation attack detection: an analysis of spoofing in the wild (SiW) dataset using deep learning models N Thapa, M Chaudhari, K Roy Discover Artificial Intelligence 3 (1), 30, 2023 | | 2023 |
| DiscoverArtificial Intelligence N Thapa, M Chaudhari, K Roy Discover 3, 30, 2023 | | 2023 |
| DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction (vol 21, 63, 2020) N Thapa, M Chaudhari, S McManus, K Roy, RH Newman, H Saigo, DB Kc BMC BIOINFORMATICS 23 (1), 2022 | | 2022 |
| Chlamy-EnPhosSite: A deep learning-based approach for Chlamydomonas reinhardtii-specific phosphorylation site prediction N Thapa, M Chaudhari, AA Iannetta, C White, K Roy, R Newman, ... | | 2021 |
