| Towards a Standard for Identifying and Managing Bias in Artificial Intelligence R Schwartz, A Vassilev, K Greene, L Perine, A Burt, P Hall https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1270.pdf, 2022 | 183 | 2022 |
| An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI P Hall, N Gill https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine …, 2018 | 181* | 2018 |
| Isoprenoid Biosynthesis as a Drug Target: Bisphosphonate Inhibition of Escherichia coli K12 Growth and Synergistic Effects of Fosmidomycin A Leon, L Liu, Y Yang, MP Hudock, P Hall, F Yin, D Studer, KJ Puan, ... Journal of medicinal chemistry 49 (25), 7331-7341, 2006 | 90 | 2006 |
| Machine Learning Interpretability with H2O Driverless AI P Hall, N Gill, M Kurka, W Phan http://docs.h2o.ai/driverless-ai/latest-stable/docs/booklets/MLIBooklet.pdf, 2017 | 80 | 2017 |
| Best practices for machine learning applications B Wujek, P Hall, F Günes SAS Institute Inc, 3, 2016 | 49 | 2016 |
| On the art and science of machine learning explanations P Hall arXiv preprint arXiv:1810.02909, 2018 | 40 | 2018 |
| Ideas on interpreting machine learning P Hall, W Phan, SS Ambati https://www.oreilly.com/ideas/ideas-on-interpreting-machine-learning, 2017 | 38 | 2017 |
| An overview of machine learning with SAS® enterprise miner™ P Hall, J Dean, IK Kabul, J Silva SAS Institute Inc 2, 2014 | 37 | 2014 |
| A responsible machine learning workflow with focus on interpretable models, post-hoc explanation, and discrimination testing N Gill, P Hall, K Montgomery, N Schmidt Information 11 (3), 137, 2020 | 36 | 2020 |
| Computerized cluster analysis framework for decorrelated cluster identification in datasets P Hall, IK Kabul, JL Dean, R Abbey, S Haller, J Silva US Patent 9,202,178, 2015 | 32 | 2015 |
| Proposed Guidelines for the Responsible Use of Explainable Machine Learning P Hall arXiv preprint arXiv:1906.03533, 2019 | 26 | 2019 |
| The evolution of analytics P Hall, W Phan, K Whitson O'Reilly Media, Incorporated, 2016 | 24 | 2016 |
| Undergraduate introductory quantitative chemistry laboratory course: Interdisciplinary group projects in phytoremediation DL Van Engelen, SW Suljak, JP Hall, BE Holmes Journal of chemical education 84 (1), 128, 2007 | 21 | 2007 |
| Neural network based cluster visualization that computes pairwise distances between centroid locations, and determines a projected centroid location in a multidimensional space P Hall, IK Kabul, JL Dean, R Abbey, S Haller, J Silva US Patent 9,367,799, 2016 | 20 | 2016 |
| Using H2O driverless ai P Hall, M Kurka, A Bartz Mountain View, CA: H2O. ai, 2017 | 16 | 2017 |
| A United States fair lending perspective on machine learning P Hall, B Cox, S Dickerson, A Ravi Kannan, R Kulkarni, N Schmidt Frontiers in Artificial Intelligence 4, 695301, 2021 | 14 | 2021 |
| Model interpretation M Chan, N Gill, P Hall US Patent 11,386,342, 2022 | 11 | 2022 |
| Number of clusters estimation P Hall, IK Kabul, W Sarle, J Silva US Patent 9,424,337, 2016 | 9 | 2016 |
| Machine Learning for High Risk Applications: Approaches to Responsible AI P Hall, J Curtis, P Pandey O'Reilly, 2023 | 8* | 2023 |
| Responsible Machine Learning: Actionable Strategies for Mitigating Risks & Driving Adoption P Hall, N Gill, B Cox O'Reilly Media 1, 60, 2020 | 7 | 2020 |
Jorge SilvaSAS InstituteVahvistettu sähköpostiosoite verkkotunnuksessa sas.com
