| Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records SS Sahoo, K Kobow, J Zhang, J Buchhalter, M Dayyani, DP Upadhyaya, ... Scientific reports 12 (1), 19430, 2022 | 10 | 2022 |
| Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy DP Upadhyaya, K Prantzalos, S Thyagaraj, N Shafiabadi, ... medRxiv, 2023 | 2 | 2023 |
| MaTiLDA: An Integrated Machine Learning and Topological Data Analysis Platform for Brain Network Dynamics K Prantzalos, D Upadhyaya, N Shafiabadi, G Fernandez-BacaVaca, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 65-80, 2023 | 1 | 2023 |
| Characterizing the Importance of Hematologic Biomarkers in Screening for Severe Sepsis using Machine Learning Interpretability Methods DP Upadhyaya, Y Tarabichi, K Prantzalos, S Ayub, DC Kaelber, ... medRxiv, 2023.05. 30.23290757, 2023 | 1 | 2023 |
| Machine Learning Interpretability Methods to Characterize the Importance of Hematologic Biomarkers in Prognosticating Patients with Suspected Infection DP Upadhyaya, Y Tarabichi, K Prantzalos, S Ayub, DC Kaelber, ... medRxiv: the preprint server for health sciences, 2023.05. 30.23290757, 2024 | | 2024 |
| Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science Chain S Sivagnanam, S Yeu, K Lin, S Sakai, F Garzon, K Yoshimoto, ... Database 2024, baae023, 2024 | | 2024 |
| Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients K Prantzalos, J Zhang, N Shafiabadi, G Fernandez-BacaVaca, SS Sahoo AMIA Annual Symposium Proceedings 2021, 1019, 2021 | | 2021 |
| A machine learning exploration of Human Connectome data K Prantzalos | | 2018 |
| The sweet truth: Initial and post-ingestive effects of sugar and protein on taste preferences in rats K Prantzalos | | 2018 |
