Machine learning analysis of digital clock drawing test performance for differential classification of mild cognitive impairment subtypes versus Alzheimer’s disease R Binaco, N Calzaretto, J Epifano, S McGuire, M Umer, S Emrani, ... Journal of the International Neuropsychological Society 26 (7), 690-700, 2020 | 75 | 2020 |
Revisiting the fragility of influence functions JR Epifano, RP Ramachandran, AJ Masino, G Rasool Neural Networks 162, 581-588, 2023 | 14 | 2023 |
Towards an explainable mortality prediction model JR Epifano, RP Ramachandran, S Patel, G Rasool 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 6 | 2020 |
A comparison of feature selection techniques for first-day mortality prediction in the icu JR Epifano, A Silvestri, A Yu, RP Ramachandran, A Tripathi, G Rasool 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 4 | 2023 |
Automated analysis of the clock drawing test for differential diagnosis of mild cognitive impairment and Alzheimer’s Disease R Binaco, N Calzaretto, J Epifano, S Emrani, V Wasserman, DJ Libon Mid-Year Meeting of the International Neuropsychological Society, 2018 | 4 | 2018 |
Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool C Floricel, J Epifano, S Caamano, S Kark, R Christie, A Masino, ... arXiv preprint arXiv:2210.01618, 2022 | 3 | 2022 |
Deployment of a robust and explainable mortality prediction model: The covid-19 pandemic and beyond JR Epifano, S Glass, RP Ramachandran, S Patel, AJ Masino, G Rasool arXiv preprint arXiv:2311.17133, 2023 | 1 | 2023 |
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond (preprint) JR Epifano, S Glass, RP Ramachandran, S Patel, AJ Masino, G Rasool | | 2023 |
Better Models for High-Stakes Tasks J Epifano Rowan University, 2023 | | 2023 |
Performance Evaluation of Combination Methods of Saliency Mapping Algorithms IE Nielsen, JR Epifano, G Rasool, NC Bouaynaya, RP Ramachandran | | |