David W. Aha - RankMe

187 papers A* 29A 6B 4C 25Misc 22Journal 54Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	R-HTN: Rebellious Online HTN Planning for Safety and Game AI. CoRR Hector Muñoz-Avila, David W. Aha, Paola Rizzo
2025	—	`conf`	ChatHTN: Interleaving Approximate (LLM) and Symbolic HTN Planning. NeuS Héctor Muñoz-Avila, David W. Aha, Paola Rizzo
2025	J	`jnl`	ChatHTN: Interleaving Approximate (LLM) and Symbolic HTN Planning. CoRR Hector Muñoz-Avila, David W. Aha, Paola Rizzo
2024	J	`jnl`	Human-Centric Goal Reasoning with Ripple-Down Rules. CoRR Kenji Brameld, Germán Castro, Claude Sammut, Mark Roberts, David W. Aha
2024	J	`jnl`	Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
2022	J	`jnl`	Interpretable ML for Imbalanced Data. CoRR Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
2022	J	`jnl`	Self-directed Learning of Action Models using Exploratory Planning. CoRR Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd, Noah Reifsnyder, David W. Aha
2020	C	`conf`	Case-Based Gesture Interface for Multiagent Formation Control. ICCBR Divya K. Srivastava, Daniel M. Lofaro, Tristan Schuler, Donald Sofge, David W. Aha
2020	—	`conf`	Exploiting Text Data to Improve Critical Care Mortality Prediction. GLOBECOM (Workshops) Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd, Sam Blisard, David W. Aha
2019	J	`jnl`	DARPA's Explainable Artificial Intelligence (XAI) Program. AI Mag. David Gunning, David W. Aha
2019	J	`jnl`	Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. CoRR Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha
2018	J	`jnl`	AI Rebel Agents. AI Mag. Alexandra Coman, David W. Aha
2018	A*	`conf`	Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI Rey Pocius, David Isele, Mark Roberts, David W. Aha
2018	J	`jnl`	Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat. AI Commun. Justin Karneeb, Michael W. Floyd, Philip Moore, David W. Aha
2018	J	`jnl`	Goal Reasoning: Foundations, Emerging Applications, and Prospects. AI Mag. David W. Aha
2018	J	`jnl`	Goal reasoning for autonomous underwater vehicles: Responding to unexpected agents. AI Commun. Mark A. Wilson, James McMahon, Artur Wolek, David W. Aha, Brian H. Houston
2018	—	`conf`	Human-Agent Teaming as a Common Problem for Goal Reasoning. AAAI Spring Symposia Matthew Molineaux, Michael W. Floyd, Dustin Dannenhauer, David W. Aha
2018	J	`jnl`	Investigating the solution space for online iterative explanation in goal reasoning agents. AI Commun. Christine Task, Mark A. Wilson, Matthew Molineaux, David W. Aha
2018	—	`conf`	Learning Planning Operators from Episodic Traces. AAAI Spring Symposia David H. Ménager, Dongkyu Choi, Mark Roberts, David W. Aha
2018	A	`conf`	Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS David Isele, Eric Eaton, Mark Roberts, David W. Aha
2018	C	`conf`	Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks. ICCBR J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha
2018	J	`jnl`	On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications. AI Mag. Odd Erik Gundersen, Yolanda Gil, David W. Aha
2018	J	`jnl`	The 25th International Conference on Case-Based Reasoning. AI Mag. David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber
2018	—	`conf`	Towards Explainable NPCs: A Relational Exploration Learning Agent. AAAI Workshops Matthew Molineaux, Dustin Dannenhauer, David W. Aha
2017	A*	`conf`	A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. IJCAI Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha
2017	A*	`conf`	A New Approach to Temporal Planning with Rich Metric Temporal Properties. ICAPS Son Thanh To, Benjamin Johnson, Mark Roberts, David W. Aha
2017	C	`ed.`	Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings ICCBR David W. Aha, Jean Lieber
2017	C	`conf`	Case-Based Team Recognition Using Learned Opponent Models. ICCBR Michael W. Floyd, Justin Karneeb, David W. Aha
2017	—	`conf`	Dynamic Goal Recognition Using Windowed Action Sequences. AAAI Workshops David H. Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha
2017	A*	`conf`	Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. AAAI Vikas Shivashankar, Ron Alford, David W. Aha
2017	J	`jnl`	SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2017	—	`conf`	Social Attitudes of AI Rebellion: A Framework. AAAI Workshops Alexandra Coman, Benjamin Johnson, Gordon Briggs, David W. Aha
2017	A*	`conf`	The AI Rebellion: Changing the Narrative. AAAI David W. Aha, Alexandra Coman
2017	Misc	`conf`	Towards Deception Detection in a Language-Driven Game. FLAIRS Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha
2017	Misc	`conf`	Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS Michael W. Floyd, J. T. Turner, David W. Aha
2017	—	`conf`	Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. AAAI Spring Symposia Michael W. Floyd, J. T. Turner, David W. Aha
2017	J	`jnl`	Using explanations to provide transparency during trust-guided behavior adaptation. AI Commun. Michael W. Floyd, David W. Aha
2016	—	`conf`	ActorSim, A Toolkit for Studying Cross-Disciplinary Challenges in Autonomy. AAAI Fall Symposia Mark Roberts, Laura M. Hiatt, Alexandra Coman, Dongkyu Choi, Benjamin Johnson, David W. Aha
2016	A*	`conf`	Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Tail-Recursive HTN Problems. ICAPS Ron Alford, Gregor Behnke, Daniel Höller, Pascal Bercher, Susanne Biundo, David W. Aha
2016	A	`conf`	Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. ECAI Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha
2016	J	`jnl`	Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. CoRR Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha
2016	—	`conf`	Dimensionality Reduced Reinforcement Learning for Assistive Robots. AAAI Fall Symposia William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart
2016	A*	`conf`	Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing. IJCAI Ron Alford, Vikas Shivashankar, Mark Roberts, Jeremy Frank, David W. Aha
2016	—	`conf`	Image Surveillance Assistant. WACV Workshops Michael Maynord, Sambit Bhattacharya, David W. Aha
2016	C	`conf`	Incorporating Transparency During Trust-Guided Behavior Adaptation. ICCBR Michael W. Floyd, David W. Aha
2016	J	`jnl`	Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. CoRR J. T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha
2016	—	`conf`	Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features. AIPR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2016	J	`jnl`	Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks. ACM Trans. Knowl. Discov. Data Luke K. McDowell, David W. Aha
2016	—	`conf`	Mixed Propositional Metric Temporal Logic: A New Formalism for Temporal Planning. AAAI Workshop: Planning for Hybrid Systems Son Thanh To, Mark Roberts, Thomas Apker, Benjamin Johnson, David W. Aha
2016	—	`conf`	SPARCNN: Spatially related convolutional neural networks. AIPR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2016	—	`conf`	Semantic Classification of Utterances in a Language-Driven Game. CGW@IJCAI Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha
2015	J	`jnl`	Building high assurance human-centric decision systems. Autom. Softw. Eng. Constance L. Heitmeyer, Marc Pickett, Elizabeth I. Leonard, Myla M. Archer, Indrakshi Ray, David W. Aha, J. Gregory Trafton
2015	Misc	`conf`	Case-Based Behavior Recognition in Beyond Visual Range Air Combat. FLAIRS Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha
2015	C	`conf`	Case-Based Plan Recognition Under Imperfect Observability. ICCBR Swaroop Vattam, David W. Aha
2015	C	`conf`	Case-Based Policy and Goal Recognition. ICCBR Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha
2015	J	`jnl`	Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta
2015	Misc	`conf`	Coordinating Robot Teams for Disaster Relief. FLAIRS Mark Roberts, Thomas Apker, Benjamin Johnson, Bryan Auslander, Briana Wellman, David W. Aha
2015	Misc	`conf`	Error Tolerant Plan Recognition: An Empirical Investigation. FLAIRS Swaroop Vattam, David W. Aha, Michael W. Floyd
2015	—	`conf`	Flexible Plan-Subplan Matching for Plan Recognition in Case-Based Agents. ICCBR (Workshops) Keith A. Frazer, Swaroop Vattam, David W. Aha
2015	C	`conf`	Improving Trust-Guided Behavior Adaptation Using Operator Feedback. ICCBR Michael W. Floyd, Michael Drinkwater, David W. Aha
2015	Misc	`conf`	Increasing the Runtime Speed of Case-Based Plan Recognition. FLAIRS Michael Maynord, Swaroop Vattam, David W. Aha
2015	C	`conf`	Learning to Estimate: A Case-Based Approach to Task Execution Prediction. ICCBR Bryan Auslander, Michael W. Floyd, Thomas Apker, Benjamin Johnson, Mark Roberts, David W. Aha
2015	B	`conf`	Tight Bounds for HTN Planning with Task Insertion (Extended Abstract). SOCS Ron Alford, Pascal Bercher, David W. Aha
2015	A*	`conf`	Tight Bounds for HTN Planning with Task Insertion. IJCAI Ron Alford, Pascal Bercher, David W. Aha
2015	A*	`conf`	Tight Bounds for HTN Planning. ICAPS Ron Alford, Pascal Bercher, David W. Aha
2015	A*	`conf`	Trust-Guided Behavior Adaptation Using Case-Based Reasoning. IJCAI Michael W. Floyd, Michael Drinkwater, David W. Aha
2014	—	`conf`	Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust. AAAI Fall Symposia Michael W. Floyd, Michael Drinkwater, David W. Aha
2014	—	`conf`	Adapting Autonomous Behavior Using an Inverse Trust Estimation. ICCSA (1) Michael W. Floyd, Michael Drinkwater, David W. Aha
2014	C	`conf`	Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams. ICCBR Bryan Auslander, Tom Apker, David W. Aha
2014	C	`conf`	Case-Based Plan Recognition Using Action Sequence Graphs. ICCBR Swaroop Vattam, David W. Aha, Michael W. Floyd
2014	C	`conf`	How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust. ICCBR Michael W. Floyd, Michael Drinkwater, David W. Aha
2014	A*	`conf`	Learning Unknown Event Models. AAAI Matthew Molineaux, David W. Aha
2013	Misc	`conf`	Acquiring User Models to Test Automated Assistants. FLAIRS Marc Pickett, David W. Aha, J. Gregory Trafton
2013	C	`conf`	Case-Based Goal-Driven Coordination of Multiple Learning Agents. ICCBR Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
2013	B	`conf`	Detecting Bot-Answerable Questions in Ubuntu Chat. IJCNLP David C. Uthus, David W. Aha
2013	Misc	`conf`	Domain-Independent Heuristics for Goal Formulation. FLAIRS Mark A. Wilson, Matthew Molineaux, David W. Aha
2013	Misc	`conf`	Extending Word Highlighting in Multiparticipant Chat. FLAIRS David C. Uthus, David W. Aha
2013	J	`jnl`	Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations. Comput. Intell. Matthew Klenk, Matthew Molineaux, David W. Aha
2013	—	`conf`	High assurance human-centric decision systems. RAISE@ICSE Constance L. Heitmeyer, Marc Pickett, Len Breslow, David W. Aha, J. Greg Trafton, Elizabeth I. Leonard
2013	A	`conf`	Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks. CIKM Luke K. McDowell, David W. Aha
2013	J	`jnl`	Multiparticipant chat analysis: A survey. Artif. Intell. David C. Uthus, David W. Aha
2013	B	`conf`	Spontaneous Analogy by Piggybacking on a Perceptual System. CogSci Marc Pickett, David W. Aha
2013	J	`jnl`	Spontaneous Analogy by Piggybacking on a Perceptual System. CoRR Marc Pickett, David W. Aha
2013	—	`conf`	The Ubuntu Chat Corpus for Multiparticipant Chat Analysis. AAAI Spring Symposium: Analyzing Microtext David C. Uthus, David W. Aha
2013	Misc	`conf`	User Authentication from Web Browsing Behavior. FLAIRS Myriam Abramson, David W. Aha
2012	J	`jnl`	Analysis of the IJCNN 2011 UTL challenge. Neural Networks Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha
2012	C	`conf`	Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy. ICCBR Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
2012	J	`jnl`	Reports of the AAAI 2011 Conference Workshops. AI Mag. Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams
2012	A*	`conf`	Semi-Supervised Collective Classification via Hybrid Label Regularization. ICML Luke K. McDowell, David W. Aha
2012	J	`jnl`	Transforming Graph Representations for Statistical Relational Learning CoRR Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville
2011	Misc	`conf`	Active and Interactive Discovery of Goal Selection Knowledge. FLAIRS Jay H. Powell, Matthew Molineaux, David W. Aha
2011	A*	`conf`	Integrated Learning for Goal-Driven Autonomy. IJCAI Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
2011	—	`conf`	Learning Event Models that Explain Anomalies. ExaCt Matthew Molineaux, David W. Aha, Ugur Kuter
2011	J	`jnl`	The Case for Case-Based Transfer Learning. AI Mag. Matthew Klenk, David W. Aha, Matthew Molineaux
2011	B	`conf`	Unsupervised and transfer learning challenge. IJCNN Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha
2010	Misc	`conf`	Applying Goal Driven Autonomy to a Team Shooter Game. FLAIRS Hector Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux
2010	A*	`conf`	Goal-Driven Autonomy in a Navy Strategy Simulation. AAAI Matthew Molineaux, Matthew Klenk, David W. Aha
2010	C	`conf`	Goal-Driven Autonomy with Case-Based Reasoning. ICCBR Héctor Muñoz-Avila, Ulit Jaidee, David W. Aha, Elizabeth Carter
2010	Misc	`conf`	Meta-Prediction for Collective Classification. FLAIRS Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
2010	A*	`conf`	Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects. AAAI Matthew Molineaux, Matthew Klenk, David W. Aha
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2009	Misc	`conf`	Beating the Defense: Using Plan Recognition to Inform Learning Agents. FLAIRS Matthew Molineaux, David W. Aha, Gita Sukthankar
2009	J	`jnl`	Case-Based Approximate Reasoning. Künstliche Intell. David W. Aha
2009	C	`conf`	Case-Based Collective Inference for Maritime Object Classification. ICCBR Kalyan Moy Gupta, David W. Aha, Philip Moore
2009	C	`conf`	Case-Based Reasoning in Transfer Learning. ICCBR David W. Aha, Matthew Molineaux, Gita Sukthankar
2009	J	`jnl`	Cautious Collective Classification. J. Mach. Learn. Res. Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
2009	—	`conf`	Constructing Game Agents from Video of Human Behavior. AIIDE Nan Li, David J. Stracuzzi, Gary Cleveland, Tolga Könik, Daniel G. Shapiro, Matthew Molineaux, David W. Aha, Kamal Ali
2009	J	`jnl`	Design of an Integrated Web Services Brokering System. Int. J. Inf. Technol. Web Eng. Frederick E. Petry, Roy Ladner, Kalyan Moy Gupta, Philip Moore, David W. Aha
2009	—	`conf`	Improving Offensive Performance Through Opponent Modeling. AIIDE Kennard R. Laviers, Gita Sukthankar, David W. Aha, Matthew Molineaux
2008	A*	`conf`	Enabling the Interoperability of Large-Scale Legacy Systems. AAAI Kalyan Moy Gupta, Michael Zang, Adam Gray, David W. Aha, Joe Kriege
2008	A*	`conf`	IMT: A Mixed-Initiative Data Mapping and Search Toolkit. AAAI Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha
2008	Misc	`conf`	Learning Continuous Action Models in a Real-Time Strategy Environment. FLAIRS Matthew Molineaux, David W. Aha, Philip Moore
2008	J	`jnl`	Soft computing techniques for web services brokering. Soft Comput. Roy Ladner, Frederick E. Petry, Kalyan Moy Gupta, Elizabeth Warner, Philip Moore, David W. Aha
2007	Misc	`conf`	Case-Based Collective Classification. FLAIRS Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
2007	A*	`conf`	Cautious Inference in Collective Classification. AAAI Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
2007	J	`jnl`	Knowledge acquisition for adaptive game AI. Sci. Comput. Program. Marc J. V. Ponsen, Pieter Spronck, Héctor Muñoz-Avila, David W. Aha
2007	C	`conf`	Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues. ICCBR David McSherry, David W. Aha
2007	A*	`conf`	The Ins and Outs of Critiquing. IJCAI David McSherry, David W. Aha
2006	—	`conf`	A Testbed for Evaluating AI Research Systems in Commercial Games. AIIDE David W. Aha, Matthew Molineaux, Philip Moore
2006	J	`jnl`	Automatically Generating Game Tactics through Evolutionary Learning. AI Mag. Marc J. V. Ponsen, Hector Muñoz-Avila, Pieter Spronck, David W. Aha
2006	—	`conf`	Avoiding Long and Fruitless Dialogues in Critiquing. SGAI Conf. David McSherry, David W. Aha
2006	—	`conf`	Rough Set Feature Selection Algorithms for Textual Case-Based Classification. ECCBR Kalyan Moy Gupta, David W. Aha, Philip Moore
2005	J	`jnl`	Advances in conversational case-based reasoning. Knowl. Eng. Rev. David W. Aha, David McSherry, Qiang Yang
2005	A*	`conf`	Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning. AAAI Marc J. V. Ponsen, Héctor Muñoz-Avila, Pieter Spronck, David W. Aha
2005	Misc	`conf`	Automating Planning Using Natural Language. FLAIRS Kalyan Moy Gupta, David W. Aha
2005	J	`jnl`	Case-based reasoning commentaries: introduction. Knowl. Eng. Rev. David W. Aha, Cindy Marling, Ian D. Watson
2005	—	`conf`	Conversational Case-Based Reasoning. PReMI David W. Aha
2005	—	`conf`	Evaluating Case-Based Systems in Virtual Games. ICCBR Workshops Keith Needels, Matthew Molineaux, David W. Aha
2005	J	`jnl`	Learning Preconditions for Planning from Plan Traces and HTN Structure. Comput. Intell. Okhtay Ilghami, Dana S. Nau, Héctor Muñoz-Avila, David W. Aha
2005	A*	`conf`	Learning approximate preconditions for methods in hierarchical plans. ICML Okhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha
2005	C	`conf`	Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game. ICCBR David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
2005	—	`conf`	Rough Set Feature Selection Methods for Case-Based Categorization of Text Documents. PReMI Kalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal
2005	A*	`conf`	TIELT: A Testbed for Gaming Environments. AAAI Matthew Molineaux, David W. Aha
2004	—	`conf`	Learning Feature Taxonomies for Case Indexing. ECCBR Kalyan Moy Gupta, David W. Aha, Philip G. Moore
2004	Misc	`conf`	Towards Acquiring Case Indexing Taxonomies From Text. FLAIRS Kalyan Moy Gupta, David W. Aha
2003	C	`conf`	Assessing Elaborated Hypotheses: An Interpretive Case-Based Reasoning Approach. ICCBR J. William Murdock, David W. Aha, Len Breslow
2003	Misc	`conf`	Case-Based Argumentation via Process Models. FLAIRS J. William Murdock, David W. Aha, Len Breslow
2003	J	`jnl`	Intelligent delivery of military lessons learned. Decis. Support Syst. Rosina Weber, David W. Aha
2002	—	`conf`	CaMeL: Learning Method Preconditions for HTN Planning. AIPS Okhtay Ilghami, Dana S. Nau, Héctor Muñoz-Avila, David W. Aha
2002	J	`jnl`	Case-Based Reasoning Integrations. AI Mag. Cynthia R. Marling, Mohammed H. Sqalli, Edwina L. Rissland, Héctor Muñoz-Avila, David W. Aha
2002	Misc	`conf`	Causal Query Elaboration in Conversational Case-Based Reasoning. FLAIRS David W. Aha, Kalyan Moy Gupta
2002	—	`conf`	Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval. ECCBR Kalyan Moy Gupta, David W. Aha, Nabil Sandhu
2002	—	`conf`	Identifying sensory processing requirements for an on-road driving application of 4D/RCS. Mobile Robots John A. Horst, Anthony J. Barbera, Craig Schlenoff, David W. Aha
2002	A	`conf`	Intelligent elicitation of military lessons. IUI Rosina Weber, David W. Aha
2002	—	`conf`	Task analysis of autonomous on-road driving. Mobile Robots Anthony J. Barbera, John A. Horst, Craig Schlenoff, David W. Aha
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
2001	A*	`conf`	Bridging the Lesson Distribution Gap. IJCAI David W. Aha, Rosina Weber, Héctor Muñoz-Avila, Len Breslow, Kalyan Moy Gupta
2001	C	`ed.`	Case-Based Reasoning Research and Development, 4th International Conference on Case-Based Reasoning, ICCBR 2001, Vancouver, BC, Canada, July 30 - August 2, 2001, Proceedings ICCBR David W. Aha, Ian D. Watson
2001	J	`jnl`	Conversational Case-Based Reasoning. Appl. Intell. David W. Aha, Len Breslow, Héctor Muñoz-Avila
2001	J	`jnl`	Intelligent lessons learned systems. Expert Syst. Appl. Rosina Weber, David W. Aha, Irma Becerra-Fernandez
2001	J	`jnl`	Introduction: Interactive Case-Based Reasoning. Appl. Intell. David W. Aha, Héctor Muñoz-Avila
2001	A*	`conf`	SiN: Integrating Case-based Reasoning with Task Decomposition. IJCAI Héctor Muñoz-Avila, David W. Aha, Dana S. Nau, Rosina Weber, Len Breslow, Fusun Yaman
2000	Misc	`conf`	Active Case-Based Reasoning for Lessons Delivery System. FLAIRS Rosina Weber, David W. Aha, Karl Branting, J. Robert Lucas, Irma Becerra-Fernandez
2000	—	`conf`	Active Delivery for Lessons Learned Systems. EWCBR Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow
2000	C	`conf`	An Intelligent Lessons Learned Process. ISMIS Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow
2000	—	`conf`	Integrating Conversational Case Retrieval with generative Planning. EWCBR Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau, Rosina Weber-Lee
2000	J	`jnl`	Reports on the AAAI 1999 Workshop Program. AI Mag. Brian Drabble, Laurent Chaudron, Catherine Tessier, Sue Abu-Hakima, Steven Willmott, Jim Austin, Boi Faltings, Eugene C. Freuder, Gerhard Friedrich, Alex Alves Freitas, Ulises Cortés, Miquel Sànchez-Marrè, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner
1999	Misc	`conf`	Case-Based Problem Solving for Knowledge Management Systems. FLAIRS Irma Becerra-Fernandez, David W. Aha
1999	—	`conf`	HICAP: An Interactive Case-Based Planning Architecture and its Application to Noncombatant Evacuation Operations. AAAI/IAAI Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau
1999	—	`conf`	The AAAI-99 KM/CBR Workshop: Summary of Contributions. ICCBR Workshops David W. Aha
1999	C	`conf`	Using Guidelines to Constrain Interactive Case-Based HTN Planning. ICCBR Héctor Muñoz-Avila, Daniel C. McFarlane, David W. Aha, Len Breslow, James A. Ballas, Dana S. Nau
1998	J	`jnl`	A Probabilistic Framework for Memory-Based Reasoning. Artif. Intell. Simon Kasif, Steven Salzberg, David L. Waltz, John Rachlin, David W. Aha
1998	—	`conf`	Error-Correcting Output Codes for Local Learners. ECML Francesco Ricci, David W. Aha
1998	—	`conf`	Supporting Dialogue Inferencing in Conversational Case-Based Reasoning. EWCBR David W. Aha, Tucker Maney, Len Breslow
1998	J	`jnl`	The omnipresence of case-based reasoning in science and application. Knowl. Based Syst. David W. Aha
1997	J	`jnl`	A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms. Artif. Intell. Rev. Dietrich Wettschereck, David W. Aha, Takao Mohri
1997	—	`conf`	Case-Based Learning: Beyond Classification of Feature Vectors. ECML David W. Aha, Dietrich Wettschereck
1997	A	`conf`	Comparing Tree-Simplification Procedures. AISTATS Leonard A. Breslow, David W. Aha
1997	J	`jnl`	Editorial. Artif. Intell. Rev. David W. Aha
1997	C	`conf`	Refining Conversational Case Libraries. ICCBR David W. Aha, Len Breslow
1997	J	`jnl`	Simplifying decision trees: A survey. Knowl. Eng. Rev. Leonard A. Breslow, David W. Aha
1995	A	`conf`	A Comparative Evaluation of Sequential Feature Selection Algorithms. AISTATS David W. Aha, Richard L. Bankert
1995	A*	`conf`	Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes. IJCAI Karl Branting, David W. Aha
1995	C	`conf`	Weighting Features. ICCBR Dietrich Wettschereck, David W. Aha
1994	—	`conf`	Inverting Implication with Small Training Sets. ECML David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994	A*	`conf`	Learning Recursive Relations with Randomly Selected Small Training Sets. ICML David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994	A*	`conf`	Towards a Better Understanding of Memory-based Reasoning Systems. ICML John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha
1993	—	`conf`	Integrating machine learning with knowledge-based systems. ANNES David W. Aha
1992	—	`conf`	Generalizing from Case studies: A Case Study. ML David W. Aha
1992	J	`jnl`	Tolerating Noisy, Irrelevant and Novel Attributes in Instance-Based Learning Algorithms. Int. J. Man Mach. Stud. David W. Aha
1991	A*	`conf`	Analyses of Instance-Based Learning Algorithms. AAAI Marc K. Albert, David W. Aha
1991	—	`conf`	Incremental Constructive Induction: An Instance-Based Approach. ML David W. Aha
1991	J	`jnl`	Instance-Based Learning Algorithms. Mach. Learn. David W. Aha, Dennis F. Kibler, Marc K. Albert
1989	—	`conf`	Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions. ML David W. Aha
1989	J	`jnl`	Instance-based prediction of real-valued attributes. Comput. Intell. Dennis F. Kibler, David W. Aha, Marc K. Albert
1989	A*	`conf`	Noise-Tolerant Instance-Based Learning Algorithms. IJCAI David W. Aha, Dennis F. Kibler
1988	—	`conf`	Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. EWSL Dennis F. Kibler, David W. Aha