| A stable cardinality distance for topological classification V Maroulas, CP Micucci, A Spannaus Advances in Data Analysis and Classification 14, 611-628, 2020 | 11 | 2020 |
| Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling JBC Spannaus, A., Papamarkou, T., Erwin, S Scientific Reports 12 (10761), 2022 | 9 | 2022 |
| Materials fingerprinting classification A Spannaus, KJH Law, P Luszczek, F Nasrin, CP Micucci, PK Liaw, ... Computer Physics Communications 266, 108019, 2021 | 8 | 2021 |
| Bayesian state space modelling for COVID-19: with Tennessee and New York case studies A Spannaus, T Papamarkou, S Erwin, JB Christian | 2 | 2021 |
| Bayesian point set registration A Spannaus, V Maroulas, DJ Keffer, KJH Law 2017 MATRIX Annals, 99-120, 2019 | 2 | 2019 |
| Deep learning uncertainty quantification for clinical text classification A Peluso, I Danciu, HJ Yoon, JM Yusof, T Bhattacharya, A Spannaus, ... Journal of Biomedical Informatics 149, 104576, 2024 | 1 | 2024 |
| FrESCO: Framework for Exploring Scalable Computational Oncology A Spannaus, J Gounley, MC Shekar, ZR Fox, J Mohd-Yusof, ... Journal of Open Source Software 8 (89), 2023 | | 2023 |
| Topological Interpretability for Deep-Learning A Spannaus, HA Hanson, L Penberthy, G Tourassi arXiv preprint arXiv:2305.08642, 2023 | | 2023 |
| FrESCO A Spannaus, J Gounley, M Chandra Shekar, ZR Fox, J Mohd-Yusof, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States …, 2023 | | 2023 |
| Generating Intermolecular Potentials from Atom Probe Tomography Experiments D Keffer, A Spannaus, A Greenhalgh, V Maroulas, P Luszczek, PK Liaw 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Advanced Statistical Methods for Atomic-Level Quantification of Multi-Component Alloys A Spannaus | | 2020 |
| A RELIABILITY ANALYSIS OF PERSONNEL PROTECTION SYSTEMS AT THE SPALLATION NEUTRON SOURCE A SPANNAUS | | 2015 |
Vasileios MaroulasProfessor at University of Tennessee, KnoxvilleVerified email at utk.edu
