Amy McGovern

According to our database1, Amy McGovern authored at least 47 papers between 1998 and 2019.

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Timeline

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Bibliography

2019
Welcome to AI matters 5(2).
AI Matters, 2019

Welcome to AI matters 5(1).
AI Matters, 2019

2018
Welcome to AI matters 4(4).
AI Matters, 2018

Welcome to AI matters 4(1).
AI Matters, 2018

An interview with Ayanna Howard.
AI Matters, 2018

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

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

ACM SIGAI activity report.
AI Matters, 2018

Welcome to AI matters, volume 3, issue 4.
AI Matters, 2018

2017
AI profiles: an interview with Maja Matarić.
AI Matters, 2017

AI profiles: an interview with Peter Stone.
AI Matters, 2017

AI profiles: an interview with Jim Kurose.
AI Matters, 2017

ACM SIGAI activity report.
AI Matters, 2017

Welcome to AI matters, volume 3, issue 3.
AI Matters, 2017

Welcome to AI matters, volume 3, issue 2.
AI Matters, 2017

Spot the Difference: Tornado Visualizations.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Moving from managing enrollment to predicting student success.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

2016
AI profiles: an interview with Peter Norvig.
AI Matters, 2016

Welcome to AI Matters, volume 2, issue 3.
AI Matters, 2016

Data Mining Tornadogenesis Precursors.
Proceedings of the EGPGV16: Eurographics Symposium on Parallel Graphics and Visualization, 2016

2015
Welcome to AI Matters, volume 2, issue 2.
AI Matters, 2015

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
AI Magazine, 2015

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.
Machine Learning, 2014

2013
Enhanced spatiotemporal relational probability trees and forests.
Data Min. Knowl. Discov., 2013

Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Making in-class competitions desirable for marginalized groups.
Proceedings of the IEEE Frontiers in Education Conference, 2013

2012
Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Machine learning enhancement of Storm Scale Ensemble precipitation forecasts.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
Using spatiotemporal relational random forests to improve our understanding of severe weather processes.
Statistical Analysis and Data Mining, 2011

Machine learning in space: extending our reach.
Machine Learning, 2011

Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction.
Data Min. Knowl. Discov., 2011

2010
Severe Weather Processes through Spatiotemporal Relational Random Forests.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009
Spatiotemporal Relational Random Forests.
Proceedings of the ICDM Workshops 2009, 2009

Spatio-temporal Multi-dimensional Relational Framework Trees.
Proceedings of the ICDM Workshops 2009, 2009

2008
Optimistic pruning for multiple instance learning.
Pattern Recognition Letters, 2008

Spatiotemporal Relational Probability Trees: An Introduction.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Creating significant learning experiences in introductory artificial intelligence.
Proceedings of the 38th SIGCSE Technical Symposium on Computer Science Education, 2007

Utile Distinctions for Relational Reinforcement Learning.
Proceedings of the IJCAI 2007, 2007

2003
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explorations, 2003

Identifying Predictive Structures in Relational Data Using Multiple Instance Learning.
Proceedings of the Machine Learning, 2003

2002
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.
Machine Learning, 2002

Autonomous Discovery of Abstractions through Interaction with an Environment.
Proceedings of the Abstraction, 2002

2001
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

1998
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Mobile Agents on the Digital Battlefield.
Proceedings of the Second International Conference on Autonomous Agents, 1998


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