Agitation Detection in People Living with Dementia using Multimodal Sensors. - Shehroz S. Khan; Sofija Spasojevic; Jacob Nogas; Bing Ye; Alex Mihailidis; Andrea Iaboni; Angel He Wang; Lori Schindel Martin; Kristine Newman (EMBC, 2019)

Improving Short and Long-term Learning in an Online Homework System. - Ben Prystawski; Jacob Nogas; Andrew Petersen 001; Joseph Jay Williams (CSEDM@EDM, 2020)

DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. - Jacob Nogas; Shehroz S. Khan; Alex Mihailidis (J. Heal. Informatics Res., 2020)

Using Adaptive Experiments to Rapidly Help Students. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Jacob Nogas; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (AIED (2), 2021)

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. - Joseph Jay Williams; Jacob Nogas; Nina Deliu; Hammad Shaikh; Sofia S. Villar; Audrey Durand; Anna N. Rafferty (CoRR, 2021)

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. - Jacob Nogas; Tong Li; Fernando J. Yanez; Arghavan Modiri; Nina Deliu; Ben Prystawski; Sofia S. Villar; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2021)

A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors. - Sofija Spasojevic; Jacob Nogas; Andrea Iaboni; Bing Ye; Alex Mihailidis; A. Wang; S. J. Li; Lori Schindel Martin; Kristine Newman; Shehroz S. Khan (J. Heal. Informatics Res., 2021)

Spatio-temporal adversarial learning for detecting unseen falls. - Shehroz S. Khan; Jacob Nogas; Alex Mihailidis (Pattern Anal. Appl., 2021)