Takip et
Peter Fontana
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3242021
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
432019
Understanding listening competency: A systematic review of research scales
PC Fontana, SD Cohen, AD Wolvin
International Journal of Listening 29 (3), 148-176, 2015
322015
Four principles of explainable artificial intelligence (draft)
P Phillips, C Hahn, P Fontana, DA Broniatowski, MA Przybocki
P Phillips, Carina Hahn, Peter Fontana, David A. Broniatowski, Mark A. Przybocki, 2020
302020
Four Principles of Explainable Artificial Intelligence. 2021
PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki
URL: https://tsapps. nist. gov/publication/get_ pdf. cfm, 2021
162021
A menagerie of timed automata
P Fontana, R Cleaveland
ACM Computing Surveys (CSUR) 46 (3), 1-56, 2014
152014
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
102015
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
92016
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
92014
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
82016
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
72020
Towards a unified theory of timed automata
PC Fontana
University of Maryland, College Park, 2014
62014
Four principles of explainable artificial
PJ Phillips, CA Hahn, PC Fontana, DA Broniatowski, MA Przybocki
Technical report, NIST interagency report, 2020
52020
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
42015
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
42011
The language of trustworthy AI: An in-depth glossary of terms
D Atherton, R Schwartz, PC Fontana, P Hall
National Institute of Standards and Technology, NIST Artificial Intelligence AI, 2023
32023
A Combination of Decision Trees and Instance-Based Learning
P Fontana
Master’s Scholarly Paper, Univ. of Maryland, 2008
32008
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
Corrections to “A Menagerie of Timed Automata”
JJA Keiren, P Fontana, R Cleaveland
ACM Computing Surveys (CSUR) 50 (3), 1-8, 2017
12017
Individual differences in fusing the face identification decisions of humans and machines
PJ Phillips, G Jeckeln, C Hahn, A Yates, P Fontana, A O'Toole
Journal of Vision 24 (10), 533-533, 2024
2024
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Makaleler 1–20