Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model J Pathak, A Wikner, R Fussell, S Chandra, BR Hunt, M Girvan, E Ott Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (4), 2018 | 309 | 2018 |
Machine learning for automated content analysis: characteristics of training data impact reliability R Fussell, A Mazrui, NG Holmes American Association of Physics Teachers, 2022 | 3 | 2022 |
Introductory data analysis with Jupyter Notebooks R Fussell, M Renz, P Krasicky, R Fulbright, N Holmes PICUP Collection, 2022 | 2 | 2022 |
Method to assess trustworthiness of machine coding at scale RK Fussell, EM Stump, NG Holmes Physical Review Physics Education Research, 2024 | 1 | 2024 |
Instructing nontraditional physics labs: Toward responsiveness to student epistemic framing M Sundstrom, RK Fussell, AML Phillips, M Akubo, SE Allen, D Hammer, ... Physical Review Physics Education Research 19 (2), 020140, 2023 | 1 | 2023 |
Students' varying responses to instructor prompts for frame shifts in physics labs M Sundstrom, R Fussell, RE Scherr, NG Holmes American Association of Physics Teachers, 2022 | 1 | 2022 |
Methods for trustworthy application of Large Language Models in PER R Fussell, M Flynn, A Damle, N Holmes Bulletin of the American Physical Society, 2024 | | 2024 |
Why the machine (dis) agrees: understanding uncertainty in natural language processing classifications R Fussell, N Holmes APS April Meeting Abstracts 2023, B18. 002, 2023 | | 2023 |
Machine learning analysis of student frames in open-structure lab courses R Fussell, R Jiang, S Aeron, N Holmes APS April Meeting Abstracts 2021, Z06. 003, 2021 | | 2021 |
Spots to stripes: using machine learning to navigate pattern formation space R Fussell, A Bhikha, S Kane APS March Meeting Abstracts 2019, L70. 299, 2019 | | 2019 |
Simulating an Interdependent Network of Fibroblasts and Heart Cells R Fussell REU Student Research Papers–Summer 2018 University of Notre Dame–Department …, 2018 | | 2018 |
Content Analysis with Machine Learning R Fussell, A Mazrui, NG Holmes | | |