54 citations · 128 across the 8 of their papers we have counts for
3 papers · 1 filter
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Despite the success of deep neural networks (DNNs) for real-world applications over time-series data such as mobile health, little is known about how to train robust DNNs for time-…
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Despite the rapid progress on research in adversarial robustness of deep neural networks (DNNs), there is little principled work for the time-series domain. Since time-series data…
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Safe deployment of time-series classifiers for real-world applications relies on the ability to detect the data which is not generated from the same distribution as training data.…