| Toward an RF side-channel reverse engineering tool ML Wilt, MM Baker, SJ Papadakis 2020 IEEE Physical Assurance and Inspection of Electronics (PAINE), 1-7, 2020 | 8 | 2020 |
| Toward a reproducible, scalable framework for processing large neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... BioRxiv, 615161, 2019 | 8 | 2019 |
| CONFIRMS: a toolkit for scalable, black box connectome assessment and investigation C Bishop, J Matelsky, M Wilt, J Downs, P Rivlin, S Plaza, B Wester, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ... GigaScience 9 (12), giaa147, 2020 | 6 | 2020 |
| Scatterbrained: A flexible and expandable pattern for decentralized machine learning M Wilt, JK Matelsky, AS Gearhart arXiv preprint arXiv:2112.07718, 2021 | 4 | 2021 |
| System Integration with Multiscale Networks (Simon): A Modular Framework for Resource Management Models M Hughes, M Kelbaugh, V Campbell, E Reilly, S Agarwala, M Wilt, ... 2020 Winter Simulation Conference (WSC), 656-667, 2020 | 3 | 2020 |
| Machine Learning of Synthetic Biological Sequences for Designer Attribution C Howser, CM Filone, JS Dymond, B Chee, J Downs, M Wilt, C Rivera, ... | | 2019 |
