Managing randomness to enable reproducible machine learning H Ahmed, J Lofstead Proceedings of the 5th International Workshop on Practical Reproducible …, 2022 | 12 | 2022 |
Ensuring AI For Science is Science: Making Randomness Portable H Ahmed, R Tchoua, J Lofstead 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine …, 2022 | 1 | 2022 |
Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis H Ahmed, R Tchoua, J Lofstead 2022 Fourth International Conference on Transdisciplinary AI (TransAI), 9-16, 2022 | 1 | 2022 |
A Probabilistic Theory of Abductive Reasoning N Espinosa Dice, M Kaye, H Ahmed, G Montañez Proceedings of the 13th International Conference on Agents and Artificial …, 2021 | 1 | 2021 |
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure H Friedman, AR Maina-Kilaas, J Schalkwyk, H Ahmed, J Haddock 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | | 2023 |
Failure Sources in Machine Learning for Medicine—A Study H Ahmed, R Tchoua, J Lofstead 2022 IEEE 18th International Conference on e-Science (e-Science), 501-506, 2022 | | 2022 |
Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure H Friedman, AR Maina-Kilaas, J Schalkwyk, H Ahmed, J Haddock arXiv preprint arXiv:2207.05112, 2022 | | 2022 |
Quantifying the Crisis in Reproducible Machine Learning. H Ahmed, G Lofstead Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
A Probabilistic Theory of Abductive Reasoning. NAE Dice, ML Kaye, H Ahmed, GD Montanez ICAART (2), 562-571, 2021 | | 2021 |
TransAI 2022 D Golpayegani, J Hovsha, H Ahmed, R Tchoua | | |