Amy McGovern

70 papers A* 5A 1C 2Journal 47Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
(Re)Conceptualizing trustworthy AI: A foundation for change.
Artif. Intell.
Christopher D. Wirz, Julie L. Demuth, Ann Bostrom, Mariana G. Cains, Imme Ebert-Uphoff, David John Gagne, Andrea Schumacher, Amy McGovern, Deianna Madlambayan
2025 J jnl
A Diffusion-Based Framework for High-Resolution Precipitation Forecasting over CONUS.
CoRR
Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill, Efi Foufoula-Georgiou, Clément Guilloteau, Samuel S. P. Shen
2025 J jnl
Oya: Deep Learning for Accurate Global Precipitation Estimation.
CoRR
Emmanuel Asiedu Brempong, Mohammed Alewi Hassen, MohamedElfatih MohamedKhair, Vusumuzi Dube, Santiago Hincapie Potes, Olivia Graham, Amanie Brik, Amy McGovern, George J. Huffman, Jason Hickey
2024 J jnl
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography.
AI Mag.
Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz
2024 J jnl
Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024).
CoRR
Roch Guérin, Amy McGovern, Klara Nahrstedt
2024 J jnl
Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned.
CoRR
Maria J. Molina, Amy McGovern, Jhayron S. Perez-Carrasquilla, Robin L. Tanamachi
2023 J jnl
Machine Learning Estimation of Maximum Vertical Velocity from Radar.
CoRR
Randy J. Chase, Amy McGovern, Cameron Homeyer, Peter Marinescu, Corey K. Potvin
2022 J jnl
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning.
CoRR
Randy J. Chase, David R. Harrison, Amanda Burke, Gary M. Lackmann, Amy McGovern
2022 J jnl
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning.
CoRR
Randy J. Chase, David R. Harrison, Gary M. Lackmann, Amy McGovern
2022 J jnl
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement.
CoRR
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
2022 J jnl
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction.
CoRR
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
2022 J jnl
Global Extreme Heat Forecasting Using Neural Weather Models.
CoRR
Ignacio Lopez-Gomez, Amy McGovern, Shreya Agrawal, Jason Hickey
2021 J jnl
CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction.
Environ. Model. Softw.
Zhi Li, Mengye Chen, Shang Gao, Xiangyu Luo, Jonathan J. Gourley, Pierre Kirstetter, Tiantian Yang, Randall L. Kolar, Amy McGovern, Yixin Wen, Bo Rao, Teshome Yami, Yang Hong
2021 J jnl
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences.
CoRR
Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom
2020 J jnl
NSF AI institute for research on trustworthy ai in weather, climate, and coastal oceanography.
AI Matters
Amy McGovern
2020 J jnl
Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System.
CoRR
Montgomery Flora, Corey K. Potvin, Patrick S. Skinner, Shawn Handler, Amy McGovern
2020 J jnl
Welcome to AI Matters 6(1).
AI Matters
Amy McGovern, Iolanda Leite, Anuj Karpatne
2019 J jnl
ACM SIGAI activity report.
AI Matters
Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork
2019 J jnl
Welcome to AI matters 5(1).
AI Matters
Amy McGovern, Iolanda Leite
2019 J jnl
Welcome to AI matters 5(2).
AI Matters
Amy McGovern, Iolanda Leite
2019 J jnl
Welcome to AI matters 5(3).
AI Matters
Amy McGovern, Iolanda Leite
2019 J jnl
Welcome to AI matters 5(4).
AI Matters
Amy McGovern, Iolanda Leite, Anuj Karpatne
2018 J jnl
ACM SIGAI activity report.
AI Matters
Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork
2018 J jnl
An interview with Ayanna Howard.
AI Matters
Amy McGovern, Eric Eaton
2018 J jnl
Welcome to AI matters 4(1).
AI Matters
Amy McGovern, Eric Eaton
2018 J jnl
Welcome to AI matters 4(2).
AI Matters
Amy McGovern
2018 J jnl
Welcome to AI matters 4(3).
AI Matters
Amy McGovern
2018 J jnl
Welcome to AI matters 4(4).
AI Matters
Amy McGovern, Iolanda Leite
2018 J jnl
Welcome to AI matters, volume 3, issue 4.
AI Matters
Eric Eaton, Amy McGovern
2017 J jnl
ACM SIGAI activity report.
AI Matters
Sven Koenig, Sanmay Das, Rosemary D. Paradis, Eric Eaton, Yolanda Gil, Katherine Guo, Bojun Huang, Albert Jiang, Benjamin Kuipers, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork
2017 J jnl
AI profiles: an interview with Jim Kurose.
AI Matters
Amy McGovern, Eric Eaton
2017 J jnl
AI profiles: an interview with Maja Matarić.
AI Matters
Amy McGovern, Eric Eaton
2017 J jnl
AI profiles: an interview with Peter Stone.
AI Matters
Amy McGovern, Eric Eaton
2017 C conf
Moving from managing enrollment to predicting student success.
FIE
Deborah Anne Trytten, Amy McGovern
2017 — conf
Spot the Difference: Tornado Visualizations.
PEARC
Greg Foss, Amy McGovern, Corey K. Potvin, Brittany A. Dahl, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul, Nick Sehy
2017 J jnl
Welcome to AI matters, volume 3, issue 2.
AI Matters
Eric Eaton, Amy McGovern
2017 J jnl
Welcome to AI matters, volume 3, issue 3.
AI Matters
Eric Eaton, Amy McGovern
2016 J jnl
AI profiles: an interview with Peter Norvig.
AI Matters
Amy McGovern, Eric Eaton
2016 — conf
Data Mining Tornadogenesis Precursors.
EGPGV@EuroVis
Greg Foss, Amy McGovern, Corey K. Potvin, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul
2016 J jnl
Welcome to AI Matters, volume 2, issue 3.
AI Matters
Eric Eaton, Amy McGovern
2015 J jnl
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
AI Mag.
Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff
2015 A* conf
Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.
AAAI
David John Gagne II, Amy McGovern, Jerald Brotzge, Michael Coniglio, James Correia Jr., Ming Xue
2015 J jnl
Welcome to AI Matters, volume 2, issue 2.
AI Matters
Eric Eaton, Amy McGovern
2014 J jnl
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.
Mach. Learn.
Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara
2013 J jnl
Enhanced spatiotemporal relational probability trees and forests.
Data Min. Knowl. Discov.
Amy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy
2013 C conf
Making in-class competitions desirable for marginalized groups.
FIE
Amy McGovern, Deborah Anne Trytten
2013 — conf
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework.
ICDM Workshops
David John Gagne II, Amy McGovern, Jerald Brotzge, Ming Xue
2012 — conf
Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction.
CIDU
Scott Hellman, Amy McGovern, Ming Xue
2012 — conf
Machine learning enhancement of Storm Scale Ensemble precipitation forecasts.
CIDU
David John Gagne II, Amy McGovern, Ming Xue
2012 — conf
Using the XSEDE supercomputing and visualization resources to improve tornado prediction using data mining.
XSEDE
Bradley Pirtle, Ross Kimes, Amy McGovern, Rodger A. Brown
2011 J jnl
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction.
Data Min. Knowl. Discov.
Amy McGovern, Derek H. Rosendahl, Rodger A. Brown, Kelvin Droegemeier
2011 J jnl
Machine learning in space: extending our reach.
Mach. Learn.
Amy McGovern, Kiri L. Wagstaff
2011 — conf
Steerable Clustering for Visual Analysis of Ecosystems.
EuroVA@EuroVis
Zafar Ahmed, Patrick Yost, Amy McGovern, Chris E. Weaver
2011 — conf
Teaching Introductory Artificial Intelligence through Java-Based Games.
EAAI
Amy McGovern, Zachery Tidwel, Derek Rushing
2011 J jnl
Using spatiotemporal relational random forests to improve our understanding of severe weather processes.
Stat. Anal. Data Min.
Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
2010 — conf
Severe Weather Processes through Spatiotemporal Relational Random Forests.
CIDU
Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
2009 — conf
Spatio-temporal Multi-dimensional Relational Framework Trees.
ICDM Workshops
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern
2009 — conf
Spatiotemporal Relational Random Forests.
ICDM Workshops
Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy
2008 — conf
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines.
ICDM Workshops
Matthew W. Collier, Amy McGovern
2008 J jnl
Optimistic pruning for multiple instance learning.
Pattern Recognit. Lett.
Amy McGovern, David D. Jensen
2008 A* conf
Spatiotemporal Relational Probability Trees: An Introduction.
ICDM
Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne II, Rodger A. Brown
2007 A conf
Creating significant learning experiences in introductory artificial intelligence.
SIGCSE
Amy McGovern, Jason Fager
2007 A* conf
Utile Distinctions for Relational Reinforcement Learning.
IJCAI
William Dabney, Amy McGovern
2003 J jnl
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explor.
Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
2003 A* conf
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning.
ICML
Amy McGovern, David D. Jensen
2002 — conf
Autonomous Discovery of Abstractions through Interaction with an Environment.
SARA
Amy McGovern
2002 J jnl
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.
Mach. Learn.
Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
2001 A* conf
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density.
ICML
Amy McGovern, Andrew G. Barto
1998 — conf
Mobile Agents on the Digital Battlefield.
Agents
Martin O. Hofmann, Amy McGovern, Kenneth R. Whitebread
1998 — conf
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts.
NIPS
Amy McGovern, J. Eliot B. Moss