| 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 |
| Towards indirect top-down road transport emissions estimation R Mukherjee, D Rollend, G Christie, A Hadzic, S Matson, A Saksena, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 6 | 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 |
| STEM leadership and training for trailblazing students in an immersive research environment M Villafañe-Delgado, EC Johnson, M Hughes, M Cervantes, ... 2020 IEEE Integrated STEM Education Conference (ISEC), 1-4, 2020 | 6 | 2020 |
| A generative adversarial network for climate tipping point discovery (tip-gan) J Sleeman, D Chung, A Gnanadesikan, J Brett, Y Kevrekidis, M Hughes, ... arXiv preprint arXiv:2302.10274, 2023 | 4 | 2023 |
| Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points J Sleeman, D Chung, C Ashcraft, J Brett, A Gnanadesikan, Y Kevrekidis, ... arXiv preprint arXiv:2302.06852, 2023 | 3 | 2023 |
| 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 |
| Team emotional and social intelligence survey MJD Hughes, HL Thompson, JB Terrell User‟ s manual: Collaborative Growth, LLC, 2014 | 3 | 2014 |
| Machine learning for activity-based road transportation emissions estimation D Rollend, K Foster, TM Kott, R Mocharla, R Muñoz, N Fendley, ... Environmental Data Science 2, e38, 2023 | 2 | 2023 |
| The Integration of Artificial Intelligence for Improved Operational Air Quality Forecasting J Sleeman, I Stajner, C Keller, M Halem, C Hamer, R Montuoro, B Baker, ... AGU Fall Meeting Abstracts 2021, A15E-1680, 2021 | 2 | 2021 |
| Climate TRACE-Tracking Real time Atmospheric Carbon Emissions: Making greenhouse gases emissions visible through remote sensing and artificial intelligence A Davitt, G McCormick, C McCormick, C Lewis, G Volpato, L Sridhar, ... AGU Fall Meeting Abstracts 2021, GC45Q-14, 2021 | 2 | 2021 |
| Connecting neural reconstruction integrity (nri) to graph metrics and biological priors EP Reilly, EC Johnson, MJ Hughes, D Ramsden, L Park, B Wester, ... Complex Networks XI: Proceedings of the 11th Conference on Complex Networks …, 2020 | 2 | 2020 |
| An Immersive Curriculum to Develop Computational Science and Research Skills in a Cohort-Based Internship Program EC Johnson, M Villafañe-Delgado, D Symonette, KA Carr, M Hughes, ... 2023 IEEE Integrated STEM Education Conference (ISEC), 293-300, 2023 | 1 | 2023 |
| Artificial Intelligence Air Quality Forecast Emulation of Atmospheric Tracers J Sleeman, I Stajner, CA Keller, C Ashcraft, R Montuoro, M Halem, ... 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
| Using Deep Learning for Climate Tipping Point Discovery to Understand Atlantic Meridional Overturning Circulation (AMOC) Collapse JA Sleeman, D Chung, C Ashcraft, A Saksena, GJ Brett, M Hughes, ... AGU Fall Meeting Abstracts 2022, OS36A-08, 2022 | 1 | 2022 |
| Parasol: An Architecture for Cross-Cloud Federated Graph Querying MD Lieberman, S Choudhury, M Hughes, D Patrone, RT Hider Jr, ... Proceedings of Workshop on Data analytics in the Cloud, 1-4, 2014 | 1 | 2014 |
| Quotients of spheres by linear actions of tori MJ Hughes, E Swartz arXiv preprint arXiv:1205.6387, 2012 | 1 | 2012 |
| Difference Learning for Air Quality Forecasting Transport Emulation RR Chen, C Ribaudo, J Sleeman, C Ashcraft, C Kofroth, M Hughes, ... arXiv preprint arXiv:2402.14806, 2024 | | 2024 |
| Difference Learning for Air Quality Forecasting Transport Emulation R River Chen, C Ribaudo, J Sleeman, C Ashcraft, C Kofroth, M Hughes, ... arXiv e-prints, arXiv: 2402.14806, 2024 | | 2024 |
| Using Artificial Intelligence for NOAA Operational Air Quality Forecasting Guidance JA Sleeman, I Stajner, CJ Ribaudo, C Ashcraft, D Chung, R Chen, C Tang, ... AGU23, 2023 | | 2023 |
Jennifer SleemanSenior AI Researcher, Johns Hopkins University Applied Physics Laboratory, Research AssistantVerified email at umbc.edu
