| 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 | 304 | 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 | 149 | 2018 |
| 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 | 46 | 2018 |
| Constrained neural ordinary differential equations with stability guarantees A Tuor, J Drgona, D Vrabie arXiv preprint arXiv:2004.10883, 2020 | 26 | 2020 |
| 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 | 20 | 2020 |
| Physics-constrained deep learning of multi-zone building thermal dynamics J Drgoňa, AR Tuor, V Chandan, DL Vrabie Energy and Buildings 243, 110992, 2021 | 19 | 2021 |
| 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 | 10 | 2021 |
| NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations A Tuor, J Drgona, E Skomski URL https://github. com/pnnl/neuromancer, 2021 | 9 | 2021 |
| 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 | 8 | 2020 |
| Learning constrained adaptive differentiable predictive control policies with guarantees J Drgona, A Tuor, D Vrabie arXiv preprint arXiv:2004.11184, 2020 | 7 | 2020 |
| Predicting user roles from computer logs using recurrent neural networks A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 7 | 2017 |
| 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 | 6 | 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| Spectral analysis and stability of deep neural dynamics J Drgona, E Skomski, S Vasisht, A Tuor, D Vrabie arXiv preprint arXiv:2011.13492, 2020 | 4 | 2020 |
| Constrained physics-informed deep learning for stable system identification and control of unknown linear systems J Drgona, A Tuor, D Vrabie URL http://arxiv. org/abs, 2004 | 4 | 2004 |
| Fuzzy simplicial networks: A topology-inspired model to improve task generalization in few-shot learning H Kvinge, Z New, N Courts, JH Lee, LA Phillips, CD Corley, A Tuor, ... AAAI Workshop on Meta-Learning and MetaDL Challenge, 77-89, 2021 | 3 | 2021 |
| Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem E King, J Drgona, A Tuor, S Abhyankar, C Bakker, A Bhattacharya, ... arXiv preprint arXiv:2203.08984, 2022 | 1 | 2022 |
| Learning Stochastic Parametric Differentiable Predictive Control Policies J Drgoňa, S Mukherjee, A Tuor, M Halappanavar, D Vrabie arXiv preprint arXiv:2203.01447, 2022 | 1 | 2022 |
| Physics-Informed Neural State Space Models via Learning and Evolution E Skomski, J Drgona, A Tuor arXiv preprint arXiv:2011.13497, 2020 | 1 | 2020 |
Brian HutchinsonAssociate Professor, Western Washington UniversityVerified email at wwu.edu
