Mobile Agents on the Digital Battlefield. - Martin O. Hofmann; Amy McGovern; Kenneth R. Whitebread (Agents, 1998)

Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. - Amy McGovern; J. Eliot B. Moss (NIPS, 1998)

Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. - Amy McGovern; Andrew G. Barto (ICML, 2001)

Autonomous Discovery of Abstractions through Interaction with an Environment. - Amy McGovern (SARA, 2002)

Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. - Amy McGovern; J. Eliot B. Moss; Andrew G. Barto (Mach. Learn., 2002)

Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. - Amy McGovern; David D. Jensen (ICML, 2003)

Exploiting relational structure to understand publication patterns in high-energy physics. - Amy McGovern; Lisa Friedland; Michael Hay; Brian Gallagher; Andrew S. Fast; Jennifer Neville; David D. Jensen (SIGKDD Explor., 2003)

Utile Distinctions for Relational Reinforcement Learning. - William Dabney; Amy McGovern (IJCAI, 2007)

Creating significant learning experiences in introductory artificial intelligence. - Amy McGovern; Jason Fager (SIGCSE, 2007)

Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines. - Matthew W. Collier; Amy McGovern (ICDM Workshops, 2008)

Spatiotemporal Relational Probability Trees: An Introduction. - Amy McGovern; Nathan C. Hiers; Matthew W. Collier; David John Gagne II; Rodger A. Brown (ICDM, 2008)

Optimistic pruning for multiple instance learning. - Amy McGovern; David D. Jensen (Pattern Recognit. Lett., 2008)

Spatio-temporal Multi-dimensional Relational Framework Trees. - Matthew Bodenhamer; Samuel Bleckley; Daniel Fennelly; Andrew H. Fagg; Amy McGovern (ICDM Workshops, 2009)

Spatiotemporal Relational Random Forests. - Timothy A. Supinie; Amy McGovern; John K. Williams; Jennifer Abernethy (ICDM Workshops, 2009)

Severe Weather Processes through Spatiotemporal Relational Random Forests. - Amy McGovern; Timothy A. Supinie; David John Gagne II; Nathaniel Troutman; Matthew W. Collier; Rodger A. Brown; Jeffrey B. Basara; John K. Williams (CIDU, 2010)

Teaching Introductory Artificial Intelligence through Java-Based Games. - Amy McGovern; Zachery Tidwel; Derek Rushing (EAAI, 2011)

Steerable Clustering for Visual Analysis of Ecosystems. - Zafar Ahmed; Patrick Yost; Amy McGovern; Chris E. Weaver (EuroVA@EuroVis, 2011)

Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. - Amy McGovern; Derek H. Rosendahl; Rodger A. Brown; Kelvin Droegemeier (Data Min. Knowl. Discov., 2011)

Machine learning in space: extending our reach. - Amy McGovern; Kiri L. Wagstaff (Mach. Learn., 2011)

Using spatiotemporal relational random forests to improve our understanding of severe weather processes. - Amy McGovern; David John Gagne II; Nathaniel Troutman; Rodger A. Brown; Jeffrey B. Basara; John K. Williams (Stat. Anal. Data Min., 2011)

Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. - David John Gagne II; Amy McGovern; Ming Xue (CIDU, 2012)

Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. - Scott Hellman; Amy McGovern; Ming Xue (CIDU, 2012)

Using the XSEDE supercomputing and visualization resources to improve tornado prediction using data mining. - Bradley Pirtle; Ross Kimes; Amy McGovern; Rodger A. Brown (XSEDE, 2012)

Making in-class competitions desirable for marginalized groups. - Amy McGovern; Deborah Anne Trytten (FIE, 2013)

Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework. - David John Gagne II; Amy McGovern; Jerald Brotzge; Ming Xue (ICDM Workshops, 2013)

Enhanced spatiotemporal relational probability trees and forests. - Amy McGovern; Nathaniel Troutman; Rodger A. Brown; John K. Williams; Jennifer Abernethy (Data Min. Knowl. Discov., 2013)

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. - Amy McGovern; David John Gagne II; John K. Williams; Rodger A. Brown; Jeffrey B. Basara (Mach. Learn., 2014)

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models. - David John Gagne II; Amy McGovern; Jerald Brotzge; Michael Coniglio; James Correia Jr.; Ming Xue (AAAI, 2015)

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. - Robert Morris 004; Blai Bonet; Marc Cavazza; Marie desJardins; Ariel Felner; Nick Hawes; Brad Knox; Sven Koenig; George Dimitri Konidaris; Jérôme Lang; Carlos Linares López; Daniele Magazzeni; et al. (AI Mag., 2015)

Welcome to AI Matters, volume 2, issue 2. - Eric Eaton; Amy McGovern (AI Matters, 2015)

Data Mining Tornadogenesis Precursors. - Greg Foss; Amy McGovern; Corey K. Potvin; Greg Abram; Anne Bowen; Neena Hulkoti; Arnav Kaul (EGPGV@EuroVis, 2016)

Welcome to AI Matters, volume 2, issue 3. - Eric Eaton; Amy McGovern (AI Matters, 2016)

AI profiles: an interview with Peter Norvig. - Amy McGovern; Eric Eaton (AI Matters, 2016)

Moving from managing enrollment to predicting student success. - Deborah Anne Trytten; Amy McGovern (FIE, 2017)

Spot the Difference: Tornado Visualizations. - Greg Foss; Amy McGovern; Corey K. Potvin; Brittany A. Dahl; Greg Abram; Anne Bowen; Neena Hulkoti; Arnav Kaul; Nick Sehy (PEARC, 2017)

Welcome to AI matters, volume 3, issue 2. - Eric Eaton; Amy McGovern (AI Matters, 2017)

Welcome to AI matters, volume 3, issue 3. - Eric Eaton; Amy McGovern (AI Matters, 2017)

ACM SIGAI activity report. - 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; et al. (AI Matters, 2017)

AI profiles: an interview with Jim Kurose. - Amy McGovern; Eric Eaton (AI Matters, 2017)

AI profiles: an interview with Peter Stone. - Amy McGovern; Eric Eaton (AI Matters, 2017)

AI profiles: an interview with Maja Matarić. - Amy McGovern; Eric Eaton (AI Matters, 2017)

Welcome to AI matters, volume 3, issue 4. - Eric Eaton; Amy McGovern (AI Matters, 2018)

ACM SIGAI activity report. - Sven Koenig; Sanmay Das; Rosemary D. Paradis; John P. Dickerson; Yolanda Gil; Katherine Guo; Benjamin Kuipers; Hang Ma 001; Nicholas Mattei; Amy McGovern; Larry R. Medsker; Todd W. Neller; et al. (AI Matters, 2018)

Welcome to AI matters 4(2). - Amy McGovern (AI Matters, 2018)

Welcome to AI matters 4(3). - Amy McGovern (AI Matters, 2018)

An interview with Ayanna Howard. - Amy McGovern; Eric Eaton (AI Matters, 2018)

Welcome to AI matters 4(1). - Amy McGovern; Eric Eaton (AI Matters, 2018)

Welcome to AI matters 4(4). - Amy McGovern; Iolanda Leite (AI Matters, 2018)

ACM SIGAI activity report. - Sven Koenig; Sanmay Das; Rosemary D. Paradis; John P. Dickerson; Yolanda Gil; Katherine Guo; Benjamin Kuipers; Iolanda Leite; Hang Ma 001; Nicholas Mattei; Amy McGovern; Larry R. Medsker; et al. (AI Matters, 2019)

Welcome to AI matters 5(1). - Amy McGovern; Iolanda Leite (AI Matters, 2019)

Welcome to AI matters 5(2). - Amy McGovern; Iolanda Leite (AI Matters, 2019)

Welcome to AI matters 5(3). - Amy McGovern; Iolanda Leite (AI Matters, 2019)

Welcome to AI matters 5(4). - Amy McGovern; Iolanda Leite; Anuj Karpatne (AI Matters, 2019)

NSF AI institute for research on trustworthy ai in weather, climate, and coastal oceanography. - Amy McGovern (AI Matters, 2020)

Welcome to AI Matters 6(1). - Amy McGovern; Iolanda Leite; Anuj Karpatne (AI Matters, 2020)

Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. - Montgomery Flora; Corey K. Potvin; Patrick S. Skinner; Shawn Handler; Amy McGovern (CoRR, 2020)

The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. - Amy McGovern; Imme Ebert-Uphoff; David John Gagne II; Ann Bostrom (CoRR, 2021)

CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. - Zhi Li 066; Mengye Chen; Shang Gao 007; Xiangyu Luo; Jonathan J. Gourley; Pierre Kirstetter; Tiantian Yang; Randall L. Kolar; Amy McGovern; Yixin Wen; Bo Rao; Teshome Yami; et al. (Environ. Model. Softw., 2021)

A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning. - Randy J. Chase; David R. Harrison; Amanda Burke; Gary M. Lackmann; Amy McGovern (CoRR, 2022)

Global Extreme Heat Forecasting Using Neural Weather Models. - Ignacio Lopez-Gomez; Amy McGovern; Shreya Agrawal; Jason Hickey (CoRR, 2022)

A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. - Randy J. Chase; David R. Harrison; Gary M. Lackmann; Amy McGovern (CoRR, 2022)

Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Machine Learning Estimation of Maximum Vertical Velocity from Radar. - Randy J. Chase; Amy McGovern; Cameron Homeyer; Peter Marinescu; Corey K. Potvin (CoRR, 2023)

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. - 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 (AI Mag., 2024)

Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024). - Roch Guérin; Amy McGovern; Klara Nahrstedt (CoRR, 2024)

Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned. - Maria J. Molina; Amy McGovern; Jhayron S. Perez-Carrasquilla; Robin L. Tanamachi (CoRR, 2024)

(Re)Conceptualizing trustworthy AI: A foundation for change. - Christopher D. Wirz; Julie L. Demuth; Ann Bostrom; Mariana G. Cains; Imme Ebert-Uphoff; David John Gagne; Andrea Schumacher; Amy McGovern; Deianna Madlambayan (Artif. Intell., 2025)