Melinda T. Gervasio - researchr alias

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Viewing Publication 1 - 38 from 38

2025

AI as Collaborative Partner: Rethinking Human-AI Teaming for the Real WorldMelinda T. Gervasio, Pedro Sequeira, Eric Yeh, Nicholas Marion, Sarah Bakst, Helen Gent. aaaiss 2025: 63-66 [doi]

2023

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of InterestingnessPedro Sequeira, Melinda T. Gervasio. xai 2023: 373-396 [doi]

Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent SpaceEric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio. xai 2023: 449-469 [doi]

2021

Confidence Calibration for Domain Generalization under Covariate ShiftYunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio. iccv 2021: 8938-8947 [doi]

2020

Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitationsPedro Sequeira, Melinda T. Gervasio. ai, 288:103367, 2020. [doi]

2019

Interestingness Elements for Explainable Reinforcement Learning through IntrospectionPedro Sequeira, Eric Yeh, Melinda T. Gervasio. IUI 2019: [doi]

2018

Explanation to Avert SurpriseMelinda T. Gervasio, Karen L. Myers, Eric Yeh, Boone Adkins. IUI 2018: [doi]

2017

Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agentPauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith. kais, 52(2):379-409, 2017. [doi]

2016

Solution Authoring via Demonstration and Annotation: An Empirical StudyKaren L. Myers, Melinda T. Gervasio. icalt 2016: 212-216 [doi]

2013

Discovering action idioms bridging the gap between system-level events and human-level actionsMelinda T. Gervasio, Thomas J. Lee. vl 2013: 11-14 [doi]

Drill Evaluation for Training Procedural SkillsKaren L. Myers, Melinda T. Gervasio, Christian Jones, Kyle McIntyre, Kellie Keifer. aied 2013: 561-570 [doi]

2012

Learning by Demonstration for a Collaborative Planning EnvironmentKaren L. Myers, Jake Kolojejchick, Carl Angiolillo, Tim Cummings, Tom Garvey, Matthew E. Gaston, Melinda T. Gervasio, Will Haines, Chris Jones 0002, Kellie Keifer, Janette Knittel, David N. Morley, William Ommert, Scott Potter. aim, 33(2):15-27, 2012. [doi]

2011

PTIME: Personalized assistance for calendaringPauline M. Berry, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith. tist, 2(4):40, 2011. [doi]

How to serve soup: interleaving demonstration and assisted editing to support nonprogrammersMelinda T. Gervasio, Will Haines, David N. Morley, Thomas J. Lee, C. Adam Overholtzer, Shahin Saadati, Aaron Spaulding. IUI 2011: 331-334 [doi]

Learning to ask the right questions to help a learner learnMelinda T. Gervasio, Eric Yeh, Karen L. Myers. IUI 2011: 135-144 [doi]

Goal-Directed Metacontrol for Integrated Procedure LearningJihie Kim, Karen L. Myers, Melinda T. Gervasio, Yolanda Gil. In Michael T. Cox, Anita Raja, editors, Metareasoning - Thinking about Thinking. pages 77-100, MIT Press, 2011. [doi]

Learning by Demonstration Technology for Military Planning and Decision Making: A Deployment StoryKaren 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. iaai 2011: 1597-1604 [doi]

2009

Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling AssistantPauline M. Berry, Thierry Donneau-Golencer, Khang Duong, Melinda T. Gervasio, Bart Peintner, Neil Yorke-Smith. iaai 2009: [doi]

Iteration Learning by DemonstrationSteven Eker, Thomas J. Lee, Melinda T. Gervasio. aaaiss 2009: 40-47 [doi]

Learning by Demonstration to Support Military Planning and Decision MakingThomas Garvey, Melinda T. Gervasio, Thomas J. Lee, Karen L. Myers, Carl Angiolillo, Matthew E. Gaston, Janette Knittel, Jake Kolojejchick. iaai 2009: [doi]

What were you thinking?: filling in missing dataflow through inference in learning from demonstrationMelinda T. Gervasio, Janet L. Murdock. IUI 2009: 157-166 [doi]

Question Asking to Inform Preference Learning: A Case StudyMelinda T. Gervasio, Karen L. Myers, Marie desJardins, Fusun Yaman. aaaiss 2009: 56-62 [doi]

From geek to sleek: integrating task learning tools to support end users in real-world applicationsAaron Spaulding, Jim Blythe, Will Haines, Melinda T. Gervasio. IUI 2009: 389-394 [doi]

2007

An Intelligent Personal Assistant for Task and Time ManagementKaren L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe. aim, 28(2):47-61, 2007. [doi]

2006

Multi-Criteria Evaluation in User-Centric Distributed Scheduling AgentsPauline M. Berry, Melinda T. Gervasio, Bart Peintner, Tomás E. Uribe, Neil Yorke-Smith. aaaiss 2006: 151-152 [doi]

Deploying a personalized time management agentPauline Berry, Bart Peintner, Ken Conley, Melinda T. Gervasio, Tomás E. Uribe, Neil Yorke-Smith. atal 2006: 1564-1571 [doi]

2005

A Personalized Time Management Assistant: Research DirectionsPauline M. Berry, Melinda T. Gervasio, Tomás E. Uribe, Martha E. Pollack, Michael D. Moffitt. aaaiss 2005: 1-6 [doi]

Active preference learning for personalized calendar scheduling assistanceMelinda T. Gervasio, Michael D. Moffitt, Martha E. Pollack, Joseph M. Taylor, Tomás E. Uribe. IUI 2005: 90-97 [doi]

2003

Personalized trading recommendation systemJungsoon P. Yoo, Melinda T. Gervasio, Pat Langley. IUI 2003: 332 [doi]

An adaptive stock tracker for personalized trading adviceJungsoon P. Yoo, Melinda T. Gervasio, Pat Langley. IUI 2003: 197-203 [doi]

1999

Learning User Evaluation Functions for Adaptive Scheduling AssistanceMelinda T. Gervasio, Wayne Iba, Pat Langley. icml 1999: 152-161

Adapting to User Preferences in Crisis ResponseWayne Iba, Melinda T. Gervasio. IUI 1999: 87-90 [doi]

1998

Learning to Predict User Operations for Adaptive SchedulingMelinda T. Gervasio, Wayne Iba, Pat Langley. AAAI 1998: 721-726

1994

An Incremental Learning Approach for Completable PlanningMelinda T. Gervasio, Gerald DeJong. icml 1994: 78-86

1993

Explanation-based learning for intelligent process planningSang-Chan Park, Melinda T. Gervasio, Michael J. Shaw, Gerald DeJong. tsmc, 23(6):1597-1616, 1993. [doi]

1991

On Becoming Decreasingly Reactive: Learning to Deliberate MinimallySteve A. Chien, Melinda T. Gervasio, Gerald DeJong. icml 1991: 288-292

1990

Learning General Completable Reactive PlansMelinda T. Gervasio. AAAI 1990: 1016-1021

1989

Explanation-Based Learning of Reactive OperationsMelinda T. Gervasio, Gerald DeJong. icml 1989: 252-254

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