Melinda T. Gervasio

According to our database, Melinda T. Gervasio authored at least 41 papers between 1989 and 2023.

Collaborative distances:

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

2023

Confidence Calibration for Systems with Cascaded Predictive Modules.

Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda T. Gervasio

CoRR, 2023

Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space.

Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio

Proceedings of the Explainable Artificial Intelligence, 2023

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness.

Pedro Sequeira, Melinda T. Gervasio

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning.

Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio

CoRR, 2022

A Framework for Understanding and Visualizing Strategies of RL Agents.

Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio

CoRR, 2022

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space.

Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio

CoRR, 2022

2021

Confidence Calibration for Domain Generalization under Covariate Shift.

Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations.

Pedro Sequeira, Melinda T. Gervasio

Artif. Intell., 2020

2019

Interestingness Elements for Explainable Reinforcement Learning through Introspection.

Pedro Sequeira, Eric Yeh, Melinda T. Gervasio

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

2018

Explanation to Avert Surprise.

Melinda T. Gervasio, Karen L. Myers, Eric Yeh, Boone Adkins

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

2017

Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agent.

Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith

Knowl. Inf. Syst., 2017

2016

Solution Authoring via Demonstration and Annotation: An Empirical Study.

Karen L. Myers, Melinda T. Gervasio

Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016

2013

Discovering action idioms bridging the gap between system-level events and human-level actions.

Melinda T. Gervasio, Thomas J. Lee

Proceedings of the 2013 IEEE Symposium on Visual Languages and Human Centric Computing, 2013

Drill Evaluation for Training Procedural Skills.

Karen L. Myers, Melinda T. Gervasio, Christian Jones, Kyle McIntyre, Kellie Keifer

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Learning by Demonstration for a Collaborative Planning Environment.

Karen L. Myers, Jake Kolojejchick, Carl Angiolillo, Tim Cummings, Tom Garvey, Matthew E. Gaston, Melinda T. Gervasio, Will Haines, Chris Jones, Kellie Keifer, Janette Knittel, David N. Morley, William Ommert, Scott Potter

AI Mag., 2012

2011

PTIME: Personalized assistance for calendaring.

Pauline M. Berry, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith

ACM Trans. Intell. Syst. Technol., 2011

Learning to ask the right questions to help a learner learn.

Melinda T. Gervasio, Eric Yeh, Karen L. Myers

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

How to serve soup: interleaving demonstration and assisted editing to support nonprogrammers.

Melinda T. Gervasio, Will Haines, David N. Morley, Thomas J. Lee, C. Adam Overholtzer, Shahin Saadati, Aaron Spaulding

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Learning by Demonstration Technology for Military Planning and Decision Making: A Deployment Story.

Karen L. Myers, Jake Kolojejchick, Carl Angiolillo, Tim Cummings, Tom Garvey, Melinda T. Gervasio, Will Haines, Chris Jones, Janette Knittel, David N. Morley, William Ommert, Scott Potter

Proceedings of the Twenty-Third Conference on Innovative Applications of Artificial Intelligence, 2011

Goal-Directed Metacontrol for Integrated Procedure Learning.

Jihie Kim, Karen L. Myers, Melinda T. Gervasio, Yolanda Gil

Proceedings of the Metareasoning - Thinking about Thinking., 2011

2009

From geek to sleek: integrating task learning tools to support end users in real-world applications.

Aaron Spaulding, Jim Blythe, Will Haines, Melinda T. Gervasio

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

What were you thinking?: filling in missing dataflow through inference in learning from demonstration.

Melinda T. Gervasio, Janet L. Murdock

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

Learning by Demonstration to Support Military Planning and Decision Making.

Thomas D. Garvey, Melinda T. Gervasio, Thomas J. Lee, Karen L. Myers, Carl Angiolillo, Matthew E. Gaston, Janette Knittel, Jake Kolojejchick

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant.

Pauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Question Asking to Inform Preference Learning: A Case Study.

Melinda T. Gervasio, Karen L. Myers, Marie desJardins, Fusun Yaman

Proceedings of the Agents that Learn from Human Teachers, 2009

Iteration Learning by Demonstration.

Steven Eker, Thomas J. Lee, Melinda T. Gervasio

Proceedings of the Agents that Learn from Human Teachers, 2009

2007

An Intelligent Personal Assistant for Task and Time Management.

Karen L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe

AI Mag., 2007

2006

Deploying a personalized time management agent.

Pauline Berry, Bart Peintner, Ken Conley, Melinda T. Gervasio, Tomás E. Uribe, Neil Yorke-Smith

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Multi-Criteria Evaluation in User-Centric Distributed Scheduling Agents.

Pauline M. Berry, Melinda T. Gervasio, Bart Peintner, Tomás E. Uribe, Neil Yorke-Smith

Proceedings of the Distributed Plan and Schedule Management, 2006

2005

Active preference learning for personalized calendar scheduling assistance.

Melinda T. Gervasio, Michael D. Moffitt, Martha E. Pollack, Joseph M. Taylor, Tomás E. Uribe

Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

A Personalized Time Management Assistant: Research Directions.

Pauline M. Berry, Melinda T. Gervasio, Tomás E. Uribe, Martha E. Pollack, Michael D. Moffitt

Proceedings of the Persistent Assistants: Living and Working with AI, 2005

2003

Personalized trading recommendation system.

Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley

Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003

An adaptive stock tracker for personalized trading advice.

Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley

Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003

1999

Adapting to User Preferences in Crisis Response.

Wayne Iba, Melinda T. Gervasio

Proceedings of the 4th International Conference on Intelligent User Interfaces, 1999

Learning User Evaluation Functions for Adaptive Scheduling Assistance.

Melinda T. Gervasio, Wayne Iba, Pat Langley

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Learning to Predict User Operations for Adaptive Scheduling.

Melinda T. Gervasio, Wayne Iba, Pat Langley

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1994

An Incremental Learning Approach for Completable Planning.

Melinda T. Gervasio, Gerald DeJong

Proceedings of the Machine Learning, 1994

1993

Explanation-based learning for intelligent process planning.

Sang-Chan Park, Melinda T. Gervasio, Michael J. Shaw, Gerald DeJong

IEEE Trans. Syst. Man Cybern., 1993

1991

On Becoming Decreasingly Reactive: Learning to Deliberate Minimally.

Steve A. Chien, Melinda T. Gervasio, Gerald DeJong

Proceedings of the Eighth International Workshop (ML91), 1991

1990

Learning General Completable Reactive Plans.

Melinda T. Gervasio

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Explanation-Based Learning of Reactive Operations.

Melinda T. Gervasio, Gerald DeJong

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989