According to our database1, Aaron Tuor authored at least 10 papers between 2017 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning.
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection.
A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction.
J. Bioinform. Comput. Biol., 2018
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection.
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017