Aaron Tuor
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2492017
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
1122018
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
372018
Constrained neural ordinary differential equations with stability guarantees
A Tuor, J Drgona, D Vrabie
arXiv preprint arXiv:2004.10883, 2020
132020
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
112020
Physics-constrained deep learning of multi-zone building thermal dynamics
J Drgoňa, AR Tuor, V Chandan, DL Vrabie
Energy and Buildings 243, 110992, 2021
92021
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
62017
Constrained Block Nonlinear Neural Dynamical Models
E Skomski, S Vasisht, C Wight, A Tuor, J Drgona, D Vrabie
arXiv preprint arXiv:2101.01864, 2021
42021
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, 2020
42020
Spectral Analysis and Stability of Deep Neural Dynamics
J Drgona, E Skomski, S Vasisht, A Tuor, D Vrabie
arXiv preprint arXiv:2011.13492, 2020
32020
Constrained physics-informed deep learning for stable system identification and control of unknown linear systems
J Drgona, A Tuor, D Vrabie
arXiv preprint arXiv:2004.11184, 2020
32020
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
12021
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
12021
Understanding protein mutation stability prediction via multiclass machine learning models
R Olney, A Tuor, F Jagodzinski, B Hutchinson
Journal of Bioinformatics and Computational Biology, 2018
1*2018
Ambiguity, Humor, and Grice’s Cooperative Principle
A Tuor
12014
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
E Skomski, A Tuor, A Avila, L Phillips, Z New, H Kvinge, CD Corley, ...
arXiv preprint arXiv:2104.03496, 2021
2021
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
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
2021
Constrained neural ordinary differential equations with stability guarantees
A Tuor, J Drgona, D Vrabie
arXiv preprint arXiv:2004.10883, 2020
2020
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection
A Tuor, F Anubhav, L Charles
arXiv preprint arXiv:1902.06231, 2019
2019
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