Amy McGovern

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 36

Top Topics

Artificial Intelligent

Machine Learning Models

Top Venues

Publications

Roch Guérin, Amy McGovern, Klara Nahrstedt
Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024). CoRR (2024)
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
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Mag. 45 (1) (2024)
Randy J. Chase, Amy McGovern, Cameron Homeyer, Peter Marinescu, Corey K. Potvin
Machine Learning Estimation of Maximum Vertical Velocity from Radar. CoRR (2023)
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. CoRR (2022)
Ignacio Lopez-Gomez, Amy McGovern, Shreya Agrawal, Jason Hickey
Global Extreme Heat Forecasting Using Neural Weather Models. CoRR (2022)
Randy J. Chase, David R. Harrison, Gary M. Lackmann, Amy McGovern
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. CoRR (2022)
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement. CoRR (2022)
Randy J. Chase, David R. Harrison, Amanda Burke, Gary M. Lackmann, Amy McGovern
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning. CoRR (2022)
Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. CoRR (2021)
Zhi Li, Mengye Chen, Shang Gao, Xiangyu Luo, Jonathan J. Gourley, Pierre Kirstetter, Tiantian Yang, Randall Kolar, Amy McGovern, Yixin Wen, Bo Rao, Teshome Yami, Yang Hong
CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. Environ. Model. Softw. 141 (2021)
Amy McGovern
NSF AI institute for research on trustworthy ai in weather, climate, and coastal oceanography. AI Matters 6 (3) (2020)
Montgomery Flora, Corey K. Potvin, Patrick S. Skinner, Shawn Handler, Amy McGovern
Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. CoRR (2020)
Amy McGovern, Iolanda Leite, Anuj Karpatne
Welcome to AI Matters 6(1). AI Matters 6 (1) (2020)
Amy McGovern, Iolanda Leite
Welcome to AI matters 5(1). AI Matters 5 (1) (2019)
Amy McGovern, Iolanda Leite
Welcome to AI matters 5(3). AI Matters 5 (3) (2019)
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
ACM SIGAI activity report. AI Matters 5 (3) (2019)
Amy McGovern, Iolanda Leite, Anuj Karpatne
Welcome to AI matters 5(4). AI Matters 5 (4) (2019)
Amy McGovern, Iolanda Leite
Welcome to AI matters 5(2). AI Matters 5 (2) (2019)
Eric Eaton, Amy McGovern
Welcome to AI matters, volume 3, issue 4. AI Matters 3 (4) (2018)
Amy McGovern, Iolanda Leite
Welcome to AI matters 4(4). AI Matters 4 (4) (2018)
Amy McGovern
Welcome to AI matters 4(2). AI Matters 4 (2) (2018)
Amy McGovern
Welcome to AI matters 4(3). AI Matters 4 (3) (2018)
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
ACM SIGAI activity report. AI Matters 4 (3) (2018)
Amy McGovern, Eric Eaton
Welcome to AI matters 4(1). AI Matters 4 (1) (2018)
Amy McGovern, Eric Eaton
An interview with Ayanna Howard. AI Matters 3 (4) (2018)
Amy McGovern, Eric Eaton
AI profiles: an interview with Maja Matarić. AI Matters 3 (3) (2017)
Amy McGovern, Eric Eaton
AI profiles: an interview with Jim Kurose. AI Matters 3 (1) (2017)
Deborah Anne Trytten, Amy McGovern
Moving from managing enrollment to predicting student success. FIE (2017)
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
ACM SIGAI activity report. AI Matters 3 (3) (2017)
Amy McGovern, Eric Eaton
AI profiles: an interview with Peter Stone. AI Matters 3 (2) (2017)
Eric Eaton, Amy McGovern
Welcome to AI matters, volume 3, issue 3. AI Matters 3 (3) (2017)
Greg Foss, Amy McGovern, Corey K. Potvin, B. Dahl, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul, Nick Sehy
Spot the Difference: Tornado Visualizations. PEARC (2017)
Eric Eaton, Amy McGovern
Welcome to AI matters, volume 3, issue 2. AI Matters 3 (2) (2017)
Greg Foss, Amy McGovern, Corey K. Potvin, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul
Data Mining Tornadogenesis Precursors. EGPGV@EuroVis (2016)
Eric Eaton, Amy McGovern
Welcome to AI Matters, volume 2, issue 3. AI Matters 2 (3) (2016)
Amy McGovern, Eric Eaton
AI profiles: an interview with Peter Norvig. AI Matters 2 (4) (2016)
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
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36 (3) (2015)
David John Gagne II, Amy McGovern, Jerald Brotzge, Michael Coniglio, James Correia Jr., Ming Xue
Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models. AAAI (2015)
Eric Eaton, Amy McGovern
Welcome to AI Matters, volume 2, issue 2. AI Matters 2 (2) (2015)
Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. Mach. Learn. 95 (1) (2014)
David John Gagne II, Amy McGovern, Jerald Brotzge, Ming Xue
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework. ICDM Workshops (2013)
Amy McGovern, Deborah Anne Trytten
Making in-class competitions desirable for marginalized groups. FIE (2013)
Amy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy
Enhanced spatiotemporal relational probability trees and forests. Data Min. Knowl. Discov. 26 (2) (2013)
David John Gagne II, Amy McGovern, Ming Xue
Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. CIDU (2012)
Scott Hellman, Amy McGovern, Ming Xue
Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. CIDU (2012)
Bradley Pirtle, Ross Kimes, Amy McGovern, Rodger A. Brown
Using the XSEDE supercomputing and visualization resources to improve tornado prediction using data mining. XSEDE (2012)
Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
Using spatiotemporal relational random forests to improve our understanding of severe weather processes. Stat. Anal. Data Min. 4 (4) (2011)
Zafar Ahmed, Patrick Yost, Amy McGovern, Chris Weaver
Steerable Clustering for Visual Analysis of Ecosystems. EuroVA@EuroVis (2011)
Amy McGovern, Zachery Tidwel, Derek Rushing
Teaching Introductory Artificial Intelligence through Java-Based Games. EAAI (2011)
Amy McGovern, Derek H. Rosendahl, Rodger A. Brown, Kelvin Droegemeier
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. Data Min. Knowl. Discov. 22 (1-2) (2011)
Amy McGovern, Kiri L. Wagstaff
Machine learning in space: extending our reach. Mach. Learn. 84 (3) (2011)
Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
Severe Weather Processes through Spatiotemporal Relational Random Forests. CIDU (2010)
Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy
Spatiotemporal Relational Random Forests. ICDM Workshops (2009)
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern
Spatio-temporal Multi-dimensional Relational Framework Trees. ICDM Workshops (2009)
Matthew W. Collier, Amy McGovern
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines. ICDM Workshops (2008)
Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne II, Rodger A. Brown
Spatiotemporal Relational Probability Trees: An Introduction. ICDM (2008)
Amy McGovern, David D. Jensen
Optimistic pruning for multiple instance learning. Pattern Recognit. Lett. 29 (9) (2008)
William Dabney, Amy McGovern
Utile Distinctions for Relational Reinforcement Learning. IJCAI (2007)
Amy McGovern, Jason Fager
Creating significant learning experiences in introductory artificial intelligence. SIGCSE (2007)
Amy McGovern, David D. Jensen
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML (2003)
Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. 5 (2) (2003)
Amy McGovern
Autonomous Discovery of Abstractions through Interaction with an Environment. SARA (2002)
Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. Mach. Learn. 49 (2-3) (2002)
Amy McGovern, Andrew G. Barto
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. ICML (2001)
Amy McGovern, J. Eliot B. Moss
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. NIPS (1998)
Martin O. Hofmann, Amy McGovern, Kenneth R. Whitebread
Mobile Agents on the Digital Battlefield. Agents (1998)