Amy McGovern

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David John Gagne IINational Center for Atmospheric ResearchAdresă de e-mail confirmată pe ucar.edu
Travis M. SmithCooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO)Adresă de e-mail confirmată pe ou.edu
Andrew BartoUniversity of Massachusetts AmherstAdresă de e-mail confirmată pe cs.umass.edu
Sue Ellen HauptNational Center for Atmospheric ResearchAdresă de e-mail confirmată pe ucar.edu
Montgomery FloraPostDoctoral Research AssociateAdresă de e-mail confirmată pe noaa.gov
Ann BostromWeyerhaeuser Endowed Professor in Environmental Policy, Evans School of Public Policy & GovernanceAdresă de e-mail confirmată pe uw.edu
Philippe TissotConrad Blucher Institute, Texas A&M University-Corpus ChristiAdresă de e-mail confirmată pe tamucc.edu
Imme Ebert-UphoffColorado State UniversityAdresă de e-mail confirmată pe colostate.edu
Ming Xue, Ph.D., FAMS, FAGUUniversity of OklahomaAdresă de e-mail confirmată pe ou.edu
David HarrisonCooperative Institute for Severe and High-Impact Weather Research and Operations, The University ofAdresă de e-mail confirmată pe ou.edu
Kimberly L. ElmoreResearch Scientist, Cooperative Institute for Mesoscale Meteorological StudiesAdresă de e-mail confirmată pe noaa.gov
Corey K PotvinResearch Scientist, NOAA National Severe Storms LabAdresă de e-mail confirmată pe noaa.gov
Richard S. SuttonKeen, Amii, and University of AlbertaAdresă de e-mail confirmată pe richsutton.com
Jason HickeyGoogle ResearchAdresă de e-mail confirmată pe google.com
Ryan SobashNational Center for Atmospheric ResearchAdresă de e-mail confirmată pe ucar.edu
Kelvin DroegemeierUniversity of OklahomaAdresă de e-mail confirmată pe ou.edu
Cameron R HomeyerAssociate Professor, School of Meteorology, University of OklahomaAdresă de e-mail confirmată pe ou.edu
Andrew FaggUniversity of OklahomaAdresă de e-mail confirmată pe cs.ou.edu
John AllenCentral Michigan UniversityAdresă de e-mail confirmată pe cmich.edu
Jeffrey BasaraUniversity of Massachusetts LowellAdresă de e-mail confirmată pe uml.edu

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Amy McGovern

University of Oklahoma

Adresă de e-mail confirmată pe ou.edu - Pagina de pornire

Artificial Intelligence Machine Learning Severe Weather


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto	646	2001
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	424	2019
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	408	2017
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	180	2017
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	158	2011
Roles of macro-actions in accelerating reinforcement learning A McGovern, RS Sutton, AH Fagg Grace Hopper celebration of women in computing 1317, 15, 1997	137	1997
Autonomous discovery of temporal abstractions from interaction with an environment EA Mcgovern University of Massachusetts Amherst, 2002	126	2002
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	99	2019
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	98	2017
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	94	2020
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	85	2014
Macro-actions in reinforcement learning: An empirical analysis A McGovern, RS Sutton Computer Science Department Faculty Publication Series, 15, 1998	83	1998
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	73	2003
Classification of convective areas using decision trees DJ Gagne, A McGovern, J Brotzge Journal of Atmospheric and Oceanic Technology 26 (7), 1341-1353, 2009	71	2009
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science A McGovern, I Ebert-Uphoff, DJ Gagne, A Bostrom Environmental Data Science 1, e6, 2022	65	2022
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	63	2021
Building a basic block instruction scheduler with reinforcement learning and rollouts A McGovern, E Moss, AG Barto Machine learning 49, 141-160, 2002	62	2002
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, 27-50, 2014	59	2014
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	58	2020
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	58	2019

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