| Four principles of explainable artificial intelligence PJ Phillips, PJ Phillips, CA Hahn, PC Fontana, AN Yates, K Greene, ... US Department of Commerce, National Institute of Standards and Technology 4, 09, 2021 | 244 | 2021 |
| A data science challenge for converting airborne remote sensing data into ecological information S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ... PeerJ 6, e5843, 2019 | 41 | 2019 |
| Understanding listening competency: A systematic review of research scales PC Fontana, SD Cohen, AD Wolvin International Journal of Listening 29 (3), 148-176, 2015 | 30 | 2015 |
| A menagerie of timed automata P Fontana, R Cleaveland ACM Computing Surveys (CSUR) 46 (3), 1-56, 2014 | 15 | 2014 |
| The NIST data science initiative BJ Dorr, CS Greenberg, P Fontana, M Przybocki, M Le Bras, C Ploehn, ... 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 10 | 2015 |
| The power of proofs: New algorithms for timed automata model checking P Fontana, R Cleaveland International Conference on Formal Modeling and Analysis of Timed Systems …, 2014 | 9 | 2014 |
| Four Principles of Explainable Artificial Intelligence. 2021 PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki Gaithersburg, Maryland, 2021 | 8 | 2021 |
| Evaluation-driven research in data science: Leveraging cross-field methodologies BJ Dorr, PC Fontana, CS Greenberg, M Le Bras, M Przybocki 2016 IEEE International Conference on Big Data (Big Data), 2853-2862, 2016 | 7 | 2016 |
| Four principles of explainable artificial intelligence: draft NISTIR 8312 PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki, ... Gaithersburg, National Institute of Standards and Technology Publ, 2020 | 6 | 2020 |
| A new data science research program: evaluation, metrology, standards, and community outreach BJ Dorr, CS Greenberg, P Fontana, M Przybocki, M Le Bras, C Ploehn, ... International Journal of Data Science and Analytics 1, 177-197, 2016 | 6 | 2016 |
| Towards a unified theory of timed automata PC Fontana University of Maryland, College Park, 2014 | 6 | 2014 |
| The nist iad data science research program BJ Dorr, CS Greenberg, PC Fontana, MA Przybocki, M Le Bras, ... Proceedings of the IEEE International Conference on Data Science and …, 2015 | 3 | 2015 |
| Data Structure Choices for On-the-Fly Model Checking of Real-Time Systems P Fontana, R Cleaveland DIFTS 2011: First International Workshop on Design and Implementation of …, 2011 | 3 | 2011 |
| A Combination of Decision Trees and Instance-Based Learning P Fontana Master’s Scholarly Paper, Univ. of Maryland, 2008 | 3 | 2008 |
| Four Principles of Explainable Artificial PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki NIST Interagency/Internal Report (NISTIR). Gaithersburg, MD: National …, 2020 | 2 | 2020 |
| The NIST IAD data science evaluation series: part of the NIST information access division data science research program BJ Dorr, C Greenberg, P Fontana, M Przybocki, M Le Bras, C Ploehn, ... Proceedings of IEEE BigData, 2575-2577, 2015 | 2* | 2015 |
| Four Principles of Explainable Artificial Intelligence [Internet]. National Institute of Standards and Technology; 2020 Aug [cited 2021 Jan 22] p. 30. Report No.: 8312 PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki | 2 | |
| The Language of Trustworthy AI: An In-Depth Glossary of Terms D Atherton, R Schwartz, P Fontana, P Hall OTHER, National Institute of Standards and Technology, Gaithersburg, MD, 2023 | 1 | 2023 |
| Corrections to “A Menagerie of Timed Automata” JJA Keiren, P Fontana, R Cleaveland ACM Computing Surveys (CSUR) 50 (3), 1-8, 2017 | 1 | 2017 |
| Data Science Research Program at NIST Information Access Division BJ Dorr, C Greenberg, P Fontana, MA Przybocki, M Le Bras, CA Ploehn, ... Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le …, 2016 | 1 | 2016 |
Craig S. GreenbergMathematician, National Institute of Standards and Technology在 nist.gov 的电子邮件经过验证
