Aha, David W.

39 publications

MLJ 2024 Understanding Imbalanced Data: XAI & Interpretable ML Framework Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla

AAAI 2018 Comparing Reward Shaping, Visual Hints, and Curriculum Learning Rey Pocius, David Isele, Mark Roberts, David W. Aha

IJCAI 2017 A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha

AAAI 2017 Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning Vikas Shivashankar, Ron Alford, David W. Aha

AAAI 2017 The AI Rebellion: Changing the Narrative David W. Aha, Alexandra Coman

IJCAI 2016 Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing Ron Alford, Vikas Shivashankar, Mark Roberts, Jeremy Frank, David W. Aha

WACVW 2016 Image Surveillance Assistant Michael Maynord, Sambit Bhattacharya, David W. Aha

IJCAI 2015 Tight Bounds for HTN Planning with Task Insertion Ron Alford, Pascal Bercher, David W. Aha

IJCAI 2015 Trust-Guided Behavior Adaptation Using Case-Based Reasoning Michael W. Floyd, Michael Drinkwater, David W. Aha

AAAI 2014 Learning Unknown Event Models Matthew Molineaux, David W. Aha

ICML 2012 Semi-Supervised Collective Classification via Hybrid Label Regularization Luke K. McDowell, David W. Aha

IJCAI 2011 Integrated Learning for Goal-Driven Autonomy Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha

AAAI 2010 Goal-Driven Autonomy in a Navy Strategy Simulation Matthew Molineaux, Matthew Klenk, David W. Aha

AAAI 2010 Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects Matthew Molineaux, Matthew Klenk, David W. Aha

JMLR 2009 Cautious Collective Classification Luke K. McDowell, Kalyan Moy Gupta, David W. Aha

AAAI 2008 Enabling the Interoperability of Large-Scale Legacy Systems Kalyan Moy Gupta, Michael Zang, Adam Gray, David W. Aha, Joe Kriege

AAAI 2008 IMT: A Mixed-Initiative Data Mapping and Search Toolkit Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha

AAAI 2007 Cautious Inference in Collective Classification Luke K. McDowell, Kalyan Moy Gupta, David W. Aha

IJCAI 2007 The Ins and Outs of Critiquing David McSherry, David W. Aha

AAAI 2005 Automatically Acquiring Domain Knowledge for Adaptive Game AI Using Evolutionary Learning Marc J. V. Ponsen, Héctor Muñoz-Avila, Pieter Spronck, David W. Aha

ICML 2005 Learning Approximate Preconditions for Methods in Hierarchical Plans Okhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha

AAAI 2005 TIELT: A Testbed for Gaming Environments Matthew Molineaux, David W. Aha

IJCAI 2001 Bridging the Lesson Distribution Gap David W. Aha, Rosina Weber, Héctor Muñoz-Avila, Len Breslow, Kalyan Moy Gupta

IJCAI 2001 SiN: Integrating Case-Based Reasoning with Task Decomposition Héctor Muñoz-Avila, David W. Aha, Dana S. Nau, Rosina Weber, Len Breslow, Fusun Yaman

AAAI 1999 HICAP: An Interactive Case-Based Planning Architecture and Its Application to Noncombatant Evacuation Operations Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau

ECML-PKDD 1998 Error-Correcting Output Codes for Local Learners Francesco Ricci, David W. Aha

ECML-PKDD 1997 Case-Based Learning: Beyond Classification of Feature Vectors David W. Aha, Dietrich Wettschereck

AISTATS 1997 Comparing Tree-Simplification Procedures Leonard A. Breslow, David W. Aha

AISTATS 1995 A Comparative Evaluation of Sequential Feature Selection Algorithms David W. Aha, Richard L. Bankert

IJCAI 1995 Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes Karl Branting, David W. Aha

ECML-PKDD 1994 Inverting Implication with Small Training Sets David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin

ICML 1994 Learning Recursive Relations with Randomly Selected Small Training Sets David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin

ICML 1994 Towards a Better Understanding of Memory-Based Reasoning Systems John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha

ICML 1992 Generalizing from Case Studies: A Case Study David W. Aha

AAAI 1991 Analyses of Instance-Based Learning Algorithms Marc K. Albert, David W. Aha

ICML 1991 Incremental Constructive Induction: An Instance-Based Approach David W. Aha

MLJ 1991 Instance-Based Learning Algorithms David W. Aha, Dennis F. Kibler, Marc K. Albert

ICML 1989 Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions David W. Aha

IJCAI 1989 Noise-Tolerant Instance-Based Learning Algorithms David W. Aha, Dennis F. Kibler