A deep learning ensemble for network anomaly and cyber-attack detection V Dutta, M Choraś, M Pawlicki, R Kozik Sensors 20 (16), 4583, 2020 | 126 | 2020 |
Hybrid model for improving the classification effectiveness of network intrusion detection V Dutta, M Choraś, R Kozik, M Pawlicki 13th International Conference on Computational Intelligence in Security for …, 2021 | 43 | 2021 |
Predicting human actions taking into account object affordances V Dutta, T Zielinska Journal of Intelligent & Robotic Systems 93, 745-761, 2019 | 35 | 2019 |
Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016 Proceedings A Agah, JJ Cabibihan, AM Howard, MA Salichs, H He Springer, 2016 | 32* | 2016 |
Detection of Cyberattacks Traces in IoT Data. V Dutta, M Choras, M Pawlicki, R Kozik J. Univers. Comput. Sci. 26 (11), 1422-1434, 2020 | 28 | 2020 |
Cybersecurity of robotic systems: Leading challenges and robotic system design methodology V Dutta, T Zielińska Electronics 10 (22), 2850, 2021 | 21 | 2021 |
Predicting the Intention of Human Activities for Real-Time Human-Robot Interaction (HRI) TZ Vibekananda Dutta Social Robotics 9979, 723-734, 2016 | 18* | 2016 |
Prognosing human activity using actions forecast and structured database V Dutta, T Zielinska IEEE Access 8, 6098-6116, 2020 | 16 | 2020 |
Unsupervised network traffic anomaly detection with deep autoencoders V Dutta, M Pawlicki, R Kozik, M Choraś Logic Journal of the IGPL 30 (6), 912-925, 2022 | 14 | 2022 |
Action prediction based on physically grounded object affordances in human-object interactions TZ Vibekananda Dutta 2017 11th International Workshop on Robot Motion and Control (RoMoCo), 47-52, 2017 | 14 | 2017 |
Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing D Zhang, B Wei Springer International Publishing, 2017 | 14 | 2017 |
Deep learning based one-class detection system for fake faces generated by GAN network S Li, V Dutta, X He, T Matsumaru Sensors 22 (20), 7767, 2022 | 12 | 2022 |
Phase unwrapping using deep learning in holographic tomography M Gontarz, V Dutta, M Kujawińska, W Krauze Optics Express 31 (12), 18964-18992, 2023 | 11 | 2023 |
An Adversarial Explainable Artificial Intelligence (XAI) Based Approach for Action Forecasting V Dutta, T Zielinska Journal of Automation, Mobile Robotics and Intelligent Systems 14 (4), 3-10, 2021 | 11 | 2021 |
Mobile robot applied to QR landmark localization based on the keystone effect V Dutta Mechatronics and Robotics Engineering for Advanced and Intelligent …, 2017 | 8 | 2017 |
Networking technologies for robotic applications V Dutta, T Zielinska arXiv preprint arXiv:1505.07593, 2015 | 8 | 2015 |
A transformer-based model for super-resolution of anime image S Xu, V Dutta, X He, T Matsumaru Sensors 22 (21), 8126, 2022 | 6 | 2022 |
Performance comparison of hard and soft approaches for document clustering V Dutta, KK Sharma, D Gahalot International Journal of Computer Applications 41 (7), 2012 | 5 | 2012 |
Designing vision based autonomous docile-x mobile robot for real-time application to soccer behaviors V Dutta, N Kesswani Journal of Automation Mobile Robotics and Intelligent Systems 8, 2014 | 3 | 2014 |
Toward directional detection of dark matter with the DM-TPC detector G Sciolla, S Ahlen, D Dujmic, V Dutta, P Fisher, S Henderson, A Kaboth, ... arXiv preprint arXiv:0806.2673, 2008 | 3 | 2008 |