| Deep learning for unsupervised insider threat detection in structured cybersecurity data streams A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson Proceedings of AI for Cyber Security Workshop at AAAI 2017, 2017 | 442 | 2017 |
| Recurrent neural network attention mechanisms for interpretable system log anomaly detection A Brown, A Tuor, B Hutchinson, N Nichols Proceedings of the first workshop on machine learning for computing systems, 1-8, 2018 | 243 | 2018 |
| Physics-constrained deep learning of multi-zone building thermal dynamics J Drgoňa, AR Tuor, V Chandan, DL Vrabie Energy and Buildings 243, 110992, 2021 | 119 | 2021 |
| Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection A Tuor, R Baerwolf, N Knowles, B Hutchinson, N Nichols, R Jasper Artificial Intelligence in Cyber Security Workshop; AAAI-2018, 2018 | 65 | 2018 |
| Systematic evaluation of backdoor data poisoning attacks on image classifiers L Truong, C Jones, B Hutchinson, A August, B Praggastis, R Jasper, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 53 | 2020 |
| Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo Journal of Process Control 116, 80-92, 2022 | 41 | 2022 |
| Constrained neural ordinary differential equations with stability guarantees A Tuor, J Drgona, D Vrabie arXiv preprint arXiv:2004.10883, 2020 | 35 | 2020 |
| Deep learning explicit differentiable predictive control laws for buildings J Drgoňa, A Tuor, E Skomski, S Vasisht, D Vrabie IFAC-PapersOnLine 54 (6), 14-19, 2021 | 29 | 2021 |
| Learning constrained adaptive differentiable predictive control policies with guarantees J Drgona, A Tuor, D Vrabie arXiv preprint arXiv:2004.11184, 2020 | 26 | 2020 |
| Neural ordinary differential equations for nonlinear system identification A Rahman, J Drgoňa, A Tuor, J Strube 2022 American Control Conference (ACC), 3979-3984, 2022 | 20 | 2022 |
| Constrained block nonlinear neural dynamical models E Skomski, S Vasisht, C Wight, A Tuor, J Drgoňa, D Vrabie 2021 American Control Conference (ACC), 3993-4000, 2021 | 20 | 2021 |
| NeuroMANCER: Neural modules with adaptive nonlinear constraints and efficient regularizations A Tuor, J Drgona, E Skomski, J Koch, Z Chen, S Dernbach, CM Legaard, ... URL https://github. com/pnnl/neuromancer, 2021 | 19 | 2021 |
| Deep learning classification of cheatgrass invasion in the western United States using biophysical and remote sensing data KB Larson, AR Tuor Remote Sensing 13 (7), 1246, 2021 | 16 | 2021 |
| Learning stochastic parametric diferentiable predictive control policies J Drgoňa, S Mukherjee, A Tuor, M Halappanavar, D Vrabie IFAC-PapersOnLine 55 (25), 121-126, 2022 | 14 | 2022 |
| Neural lyapunov differentiable predictive control S Mukherjee, J Drgoňa, A Tuor, M Halappanavar, D Vrabie 2022 IEEE 61st Conference on Decision and Control (CDC), 2097-2104, 2022 | 13 | 2022 |
| Differentiable predictive control: An mpc alternative for unknown nonlinear systems using constrained deep learning J Drgona, K Kis, A Tuor, D Vrabie, M Klauco arXiv preprint arXiv:2011.03699 1, 2020 | 12 | 2020 |
| Koopman-based differentiable predictive control for the dynamics-aware economic dispatch problem E King, J Drgoňa, A Tuor, S Abhyankar, C Bakker, A Bhattacharya, ... 2022 American Control Conference (ACC), 2194-2201, 2022 | 11 | 2022 |
| Differentiable predictive control with safety guarantees: A control barrier function approach WS Cortez, J Drgona, A Tuor, M Halappanavar, D Vrabie 2022 IEEE 61st Conference on Decision and Control (CDC), 932-938, 2022 | 10 | 2022 |
| Automating discovery of physics-informed neural state space models via learning and evolution E Skomski, J Drgoňa, A Tuor Learning for Dynamics and Control, 980-991, 2021 | 9 | 2021 |
| Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. arXiv 2017 A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson arXiv preprint arXiv:1710.00811, 0 | 9 | |
Jan DrgonaPacific Northwest National Laboratory, Richland, WA, United StatesOverená e-mailová adresa na: pnnl.gov
