| Reproducibility as a service J Wonsil, N Boufford, P Agrawal, C Chen, T Cui, A Sivaram, M Seltzer Software: Practice and Experience 53 (7), 1543-1571, 2023 | 9 | 2023 |
| Integrated Reproducibility with Self-describing Machine Learning Models J Wonsil, J Sullivan, M Seltzer, A Pocock Proceedings of the 2023 ACM Conference on Reproducibility and Replicability …, 2023 | 3 | 2023 |
| Making Provenance Work for You B Lerner, E Boose, O Brand, A M Ellison, E Fong, M Lau, K Ngo, ... The R Journal 14 (4), 2022 | 2 | 2022 |
| Computational Experiment Comprehension using Provenance Summarization N Boufford, J Wonsil, A Pocock, J Sullivan, M Seltzer, T Pasquier Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 1-19, 2024 | | 2024 |
| L-Vis: Visualizing Language-Level Provenance for Program Comprehension J Wonsil, F Nguyen | | 2019 |
| ProvTools painlessly provides provenance AM Ellison, E Boose, O Brand, E Fong, MK Lau, BS Lerner, T Pasquier, ... AGU Fall Meeting Abstracts 2018, IN53A-01, 2018 | | 2018 |
| Evaluation of Remotely Sensed Solar-Induced Fluorescence from OCO-2 as a Proxy for Productivity with the Forest Inventory Analysis Database J Wonsil | | 2018 |
| The value of data abstraction and transformation of provenance data for visual analysis F Nguyen, J Shamsi, J Wonsil, S Khan, M Seltzer, T Munzner | | |
| Tracey-Distributed Trace Comparison and Aggregation using NLP techniques V Anand, J Wonsil | | |
| L-Vis: Visualizing Language-Level Provenance for Program Comprehension F Nguyen, J Wonsil | | |
