| Task level hierarchical system for BCI-enabled shared autonomy I Akinola, B Chen, J Koss, A Patankar, J Varley, P Allen 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 20 | 2017 |
| Relating deep neural network representations to EEG-fMRI spatiotemporal dynamics in a perceptual decision-making task T Tu, J Koss, P Sajda Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 9 | 2018 |
| Hierarchical denoising of ordinal time series of clinical scores J Koss, S Tinaz, HD Tagare IEEE journal of biomedical and health informatics 26 (7), 3507-3516, 2022 | 7 | 2022 |
| Investigating evoked EEG responses to targets presented in virtual reality P Lapborisuth, J Faller, J Koss, NR Waytowich, J Touryan, P Sajda 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Robust Machine Learning Classification of Unlabeled Biological Data: A case study with herbaria sheets. J Koss, A Jiang, P Sweeney, N Rios, A Dollar Biodiversity Information Science and Standards, 2021 | 1 | 2021 |
| Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process Q Bateux, J Koss, PW Sweeney, E Edwards, N Rios, AM Dollar arXiv preprint arXiv:2411.10074, 2024 | | 2024 |
| Machine Learning for Ordinal Time Series to Understand Disease Progression JD Koss Yale University, 2023 | | 2023 |
| Hierarchical MAP Denoising of Longitudinal Hamilton Depression Rating Scores J Koss, C DeLorenzo, HD Tagare 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
Paul SajdaColumbia UniversityVerified email at columbia.edu