Jed Irvine

According to our database, Jed Irvine authored at least 17 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Finding AI's Faults with AAR/AI: An Empirical Study.

Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett

ACM Trans. Interact. Intell. Syst., 2022

Beyond Value: CheckList for Testing Inferences in Planning-Based RL.

Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

After-Action Review for AI (AAR/AI).

Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern

ACM Trans. Interact. Intell. Syst., 2021

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations.

Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern

CoRR, 2021

"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review.

Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng

Proceedings of the 2021 IEEE Visualization Conference, 2021

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches.

Rupika Dikkala, Roli Khanna, Caleb R. Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett

Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021

2020

Mental Models of Mere Mortals with Explanations of Reinforcement Learning.

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, Margaret Burnett

ACM Trans. Interact. Intell. Syst., 2020

Keeping it "organized and logical": after-action review for AI (AAR/AI).

Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2019

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study.

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2014

Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability.

Andrew Farnsworth, Daniel Sheldon, Jeffrey Geevarghese, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling

AI Mag., 2014

2013

Multi-Label Classifier Chains for Bird Sound

Forrest Briggs, Xiaoli Z. Fern, Jed Irvine

CoRR, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.

Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Detecting insider threats in a real corporate database of computer usage activity.

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar.

Daniel Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2011

Learning Rules from Incomplete Examples via Implicit Mention Models.

Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

2009

Detecting and correcting user activity switches: algorithms and interfaces.

Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

2006

Predicting Task-Specific Webpages for Revisiting.

Arwen Twinkle Lettkeman, Simone Stumpf, Jed Irvine, Jonathan L. Herlocker

Proceedings of the Proceedings, 2006