| Deepfall: Non-invasive fall detection with deep spatio-temporal convolutional autoencoders J Nogas, SS Khan, A Mihailidis Journal of Healthcare Informatics Research 4 (1), 50-70, 2020 | 81 | 2020 |
| Fall detection from thermal camera using convolutional lstm autoencoder J Nogas, SS Khan, A Mihailidis Proceedings of the 2nd workshop on aging, rehabilitation and independent
, 2018 | 49 | 2018 |
| Agitation detection in people living with dementia using multimodal sensors SS Khan, S Spasojevic, J Nogas, B Ye, A Mihailidis, A Iaboni, A Wang, ... 2019 41st Annual International Conference of the IEEE Engineering in
, 2019 | 34 | 2019 |
| A pilot study to detect agitation in people living with dementia using multi-modal sensors S Spasojevic, J Nogas, A Iaboni, B Ye, A Mihailidis, A Wang, SJ Li, ... Journal of Healthcare Informatics Research 5 (3), 342-358, 2021 | 29 | 2021 |
| Spatio-temporal adversarial learning for detecting unseen falls SS Khan, J Nogas, A Mihailidis Pattern Analysis and Applications 24 (1), 381-391, 2021 | 27 | 2021 |
| Challenges in statistical analysis of data collected by a bandit algorithm: An empirical exploration in applications to adaptively randomized experiments JJ Williams, J Nogas, N Deliu, H Shaikh, SS Villar, A Durand, A Rafferty arXiv preprint arXiv:2103.12198, 2021 | 7 | 2021 |
| Algorithms for adaptive experiments that trade-off statistical analysis with reward: combining uniform random assignment and reward maximization T Li, J Nogas, H Song, H Kumar, A Durand, A Rafferty, N Deliu, SS Villar, ... arXiv preprint arXiv:2112.08507, 2021 | 6 | 2021 |
| Using adaptive experiments to rapidly help students A Zavaleta-Bernuy, QY Zheng, H Shaikh, J Nogas, A Rafferty, A Petersen, ... International Conference on Artificial Intelligence in Education, 422-426, 2021 | 6 | 2021 |
| Improving Short and Long-term Learning in an Online Homework System. B Prystawski, J Nogas, A Petersen, JJ Williams CSEDM@ EDM, 2020 | | 2020 |
