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Amy McGovern
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Cited by
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Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
5782001
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
2882017
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
2172019
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 (1), 232-258, 2011
1352011
Roles of macro-actions in accelerating reinforcement learning
A McGovern, RS Sutton, AH Fagg
Grace Hopper celebration of women in computing 1317, 15, 1997
1241997
Autonomous discovery of temporal abstractions from interaction with an environment
EA Mcgovern
University of Massachusetts Amherst, 2002
1202002
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
1182017
Macro-actions in reinforcement learning: An empirical analysis
A McGovern, RS Sutton
Computer Science Department Faculty Publication Series, 15, 1998
751998
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
702003
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
652014
Classification of convective areas using decision trees
DJ Gagne, A McGovern, J Brotzge
Journal of Atmospheric and Oceanic Technology 26 (7), 1341-1353, 2009
642009
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
622019
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
622017
Building a basic block instruction scheduler with reinforcement learning and rollouts
A McGovern, E Moss, AG Barto
Machine learning 49 (2), 141-160, 2002
592002
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
A McGovern, DJ Gagne, JK Williams, RA Brown, JB Basara
Machine learning 95 (1), 27-50, 2014
502014
Scheduling straight-line code using reinforcement learning and rollouts
A McGovern, J Moss
Advances in neural information processing Systems 11, 1998
501998
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
452020
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
452019
Spatiotemporal relational probability trees: An introduction
A McGovern, NC Hiers, M Collier, DJ Gagne II, RA Brown
2008 Eighth IEEE International Conference on Data Mining, 935-940, 2008
442008
Evaluation of statistical learning configurations for gridded solar irradiance forecasting
DJ Gagne II, A McGovern, SE Haupt, JK Williams
Solar Energy 150, 383-393, 2017
392017
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