| LSTM for anomaly-based network intrusion detection SA Althubiti, EM Jones, K Roy 2018 28th International telecommunication networks and applications …, 2018 | 200 | 2018 |
| Using a long short-term memory recurrent neural network (LSTM-RNN) to classify network attacks PS Muhuri, P Chatterjee, X Yuan, K Roy, A Esterline Information 11 (5), 243, 2020 | 126 | 2020 |
| 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 | 104 | 2020 |
| Anomaly-based intrusion detection system for IoT application M Bhavsar, K Roy, J Kelly, O Olusola Discover Internet of things 3 (1), 5, 2023 | 94 | 2023 |
| 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 | 93 | 2020 |
| An investigation of biometric authentication in the healthcare environment J Mason, R Dave, P Chatterjee, I Graham-Allen, A Esterline, K Roy Array 8, 100042, 2020 | 91 | 2020 |
| Towards nonideal iris recognition based on level set method, genetic algorithms and adaptive asymmetrical SVMs K Roy, P Bhattacharya, CY Suen Engineering Applications of Artificial Intelligence 24 (3), 458-475, 2011 | 91 | 2011 |
| Iris recognition with support vector machines K Roy, P Bhattacharya Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China …, 2005 | 77 | 2005 |
| Comparison of pre-trained word vectors for arabic text classification using deep learning approach A Alwehaibi, K Roy 2018 17th IEEE international conference on machine learning and applications …, 2018 | 66 | 2018 |
| Iris segmentation using variational level set method K Roy, P Bhattacharya, CY Suen Optics and Lasers in Engineering 49 (4), 578-588, 2011 | 66 | 2011 |
| 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 | 64 | 2020 |
| Vec2face: Unveil human faces from their blackbox features in face recognition CN Duong, TD Truong, K Luu, KG Quach, H Bui, K Roy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
| A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches A Alwehaibi, M Bikdash, M Albogmi, K Roy Journal of King Saud University-Computer and Information Sciences 34 (8 …, 2022 | 56 | 2022 |
| Face recognition using popular deep net architectures: A brief comparative study T Gwyn, K Roy, M Atay Future Internet 13 (7), 164, 2021 | 52 | 2021 |
| 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 | 48 | 2021 |
| Machine learning algorithms for preventing IoT cybersecurity attacks S Chesney, K Roy, S Khorsandroo Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021 | 47 | 2021 |
| Optimal features subset selection and classification for iris recognition K Roy, P Bhattacharya EURASIP Journal on Image and Video Processing 2008, 1-20, 2008 | 46 | 2008 |
| Development of the speech recognition system using artificial neural network K Roy, D Das, MG Ali Proc. 5th international conference on computer and information technology …, 2002 | 45 | 2002 |
| An iris recognition method based on zigzag collarette area and asymmetrical support vector machines K Roy, P Bhattacharya 2006 IEEE International Conference on Systems, Man and Cybernetics 1, 861-865, 2006 | 43* | 2006 |
| Continuous authentication using mouse clickstream data analysis S Almalki, P Chatterjee, K Roy Security, Privacy, and Anonymity in Computation, Communication, and Storage …, 2019 | 42 | 2019 |
Joseph SheltonVirginia State UniversityOverená e-mailová adresa na: vsu.edu
