Παρακολούθηση
Amy McGovern
Amy McGovern
University of Oklahoma
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ou.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
6672001
Making the black box more transparent: Understanding the physical implications of machine learning
A McGovern, R Lagerquist, DJ Gagne, GE Jergensen, KL Elmore, ...
Bulletin of the American Meteorological Society 100 (11), 2175-2199, 2019
4912019
Using artificial intelligence to improve real-time decision-making for high-impact weather
A McGovern, KL Elmore, DJ Gagne, SE Haupt, CD Karstens, R Lagerquist, ...
Bulletin of the American Meteorological Society 98 (10), 2073-2090, 2017
4592017
Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles
DJ Gagne, A McGovern, SE Haupt, RA Sobash, JK Williams, M Xue
Weather and forecasting 32 (5), 1819-1840, 2017
2042017
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
A McGovern, DH Rosendahl, RA Brown, KK Droegemeier
Data Mining and Knowledge Discovery 22, 232-258, 2011
1632011
Roles of macro-actions in accelerating reinforcement learning
A McGovern, RS Sutton, AH Fagg
Grace Hopper celebration of women in computing 1317, 15, 1997
1401997
Autonomous discovery of temporal abstractions from interaction with an environment
EA Mcgovern
University of Massachusetts Amherst, 2002
1282002
Deep learning for spatially explicit prediction of synoptic-scale fronts
R Lagerquist, A McGovern, DJ Gagne II
Weather and Forecasting 34 (4), 1137-1160, 2019
1142019
Machine learning for real-time prediction of damaging straight-line convective wind
R Lagerquist, A McGovern, T Smith
Weather and Forecasting 32 (6), 2175-2193, 2017
1122017
Deep learning on three-dimensional multiscale data for next-hour tornado prediction
R Lagerquist, A McGovern, CR Homeyer, DJ Gagne II, T Smith
Monthly Weather Review 148 (7), 2837-2861, 2020
1082020
Machine learning enhancement of storm-scale ensemble probabilistic quantitative precipitation forecasts
DJ Gagne, A McGovern, M Xue
Weather and Forecasting 29 (4), 1024-1043, 2014
932014
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science
A McGovern, I Ebert-Uphoff, DJ Gagne II, A Bostrom
Environmental Data Science 1, e6, 2022
912022
Macro-actions in reinforcement learning: An empirical analysis
A McGovern, RS Sutton
Computer Science Department Faculty Publication Series, 15, 1998
851998
Outlook for exploiting artificial intelligence in the earth and environmental sciences
SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ...
Bulletin of the American Meteorological Society 102 (5), E1016-E1032, 2021
782021
Classification of convective areas using decision trees
DJ Gagne, A McGovern, J Brotzge
Journal of Atmospheric and Oceanic Technology 26 (7), 1341-1353, 2009
742009
Exploiting relational structure to understand publication patterns in high-energy physics
A McGovern, L Friedland, M Hay, B Gallagher, A Fast, J Neville, D Jensen
Acm Sigkdd Explorations Newsletter 5 (2), 165-172, 2003
742003
A machine learning tutorial for operational meteorology. Part I: Traditional machine learning
RJ Chase, DR Harrison, A Burke, GM Lackmann, A McGovern
Weather and Forecasting 37 (8), 1509-1529, 2022
692022
Calibration of machine learning–based probabilistic hail predictions for operational forecasting
A Burke, N Snook, DJ Gagne II, S McCorkle, A McGovern
Weather and Forecasting 35 (1), 149-168, 2020
692020
Classifying convective storms using machine learning
GE Jergensen, A McGovern, R Lagerquist, T Smith
Weather and Forecasting 35 (2), 537-559, 2020
672020
Evaluating knowledge to support climate action: A framework for sustained assessment. Report of an independent advisory committee on applied climate assessment
RH Moss, S Avery, K Baja, M Burkett, AM Chischilly, J Dell, PA Fleming, ...
Weather, Climate, and Society 11 (3), 465-487, 2019
652019
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