17 citations · 36 across the 11 of their papers we have counts for
4 papers · 1 filter
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena +5
Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collisi…
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Ming Zeng, Haoxiang Gao, Tong Yu +4
Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent netwo…
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences
Aniruddha Basak, Kamalika Das, Ole J. Mengshoel
Random walk based distance measures for graphs such as commute-time distance are useful in a variety of graph algorithms, such as clustering, anomaly detection, and creating low di…
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Ming Zeng, Tong Yu, Xiao Wang +3
Labeled data used for training activity recognition classifiers are usually limited in terms of size and diversity. Thus, the learned model may not generalize well when used in rea…