Task level hierarchical system for BCI-enabled shared autonomy. - Iretiayo Akinola; Boyuan Chen 001; Jonathan Koss; Aalhad Patankar; Jake Varley; Peter K. Allen (Humanoids, 2017)

Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task. - Tao Tu 001; Jonathan Koss; Paul Sajda (CVPR Workshops, 2018)

Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. - Pawan Lapborisuth; Josef Faller; Jonathan Koss; Nicholas R. Waytowich; Jonathan Touryan; Paul Sajda (EMBC, 2019)

Hierarchical MAP Denoising of Longitudinal Hamilton Depression Rating Scores. - Jonathan Koss; Christine DeLorenzo; Hemant D. Tagare (BIBM, 2021)

Social Media Mining in Drug Development Decision Making: Prioritizing Multiple Sclerosis Patients' Unmet Medical Needs. - Jonathan Koss; Sabine Bohnet-Joschko (HICSS, 2022)

Hierarchical Denoising of Ordinal Time Series of Clinical Scores. - Jonathan Koss; Sule Tinaz; Hemant D. Tagare (IEEE J. Biomed. Health Informatics, 2022)

CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods. - Katharina Pilgrim; Jonathan Koss; Sabine Bohnet-Joschko (HICSS, 2023)

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process. - Quentin Bateux; Jonathan Koss; Patrick W. Sweeney; Erika Edwards; Nelson Rios; Aaron M. Dollar (CoRR, 2024)

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process - Datasets. - Aaron M. Dollar; Quentin Bateux; Jonathan Koss; Patrick W. Sweeney; Nelson Rios; Erika J. Edwards (Zenodo, 2024)

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process - Datasets. - Aaron M. Dollar; Quentin Bateux; Jonathan Koss; Patrick W. Sweeney; Nelson Rios; Erika Edwards (Zenodo, 2024)