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2020 – today
- 2024
[j43]Damien Dablain
, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. 113(6): 3751-3769 (2024)- [i10]Kenji Brameld, Germán Castro, Claude Sammut, Mark Roberts, David W. Aha:
Human-Centric Goal Reasoning with Ripple-Down Rules. CoRR abs/2402.10224 (2024) - 2022
- [i9]Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd, Noah Reifsnyder, David W. Aha:
Self-directed Learning of Action Models using Exploratory Planning. CoRR abs/2203.03485 (2022) - [i8]Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Interpretable ML for Imbalanced Data. CoRR abs/2212.07743 (2022) - 2020
- [c131]Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd, Sam Blisard, David W. Aha:
Exploiting Text Data to Improve Critical Care Mortality Prediction. GLOBECOM (Workshops) 2020: 1-7 - [c130]Divya K. Srivastava, Daniel M. Lofaro, Tristan Schuler, Donald Sofge, David W. Aha:
Case-Based Gesture Interface for Multiagent Formation Control. ICCBR 2020: 295-306
2010 – 2019
- 2019
- [j42]David Gunning, David W. Aha:
DARPA's Explainable Artificial Intelligence (XAI) Program. AI Mag. 40(2): 44-58 (2019) - [i7]Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha:
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. CoRR abs/1902.01769 (2019) - 2018
- [j41]Mark A. Wilson, James McMahon, Artur Wolek, David W. Aha, Brian H. Houston:
Goal reasoning for autonomous underwater vehicles: Responding to unexpected agents. AI Commun. 31(2): 151-166 (2018) - [j40]Justin Karneeb, Michael W. Floyd, Philip Moore, David W. Aha:
Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat. AI Commun. 31(2): 181-195 (2018) - [j39]Christine Task, Mark A. Wilson, Matthew Molineaux, David W. Aha:
Investigating the solution space for online iterative explanation in goal reasoning agents. AI Commun. 31(2): 213-233 (2018) - [j38]David W. Aha:
Goal Reasoning: Foundations, Emerging Applications, and Prospects. AI Mag. 39(2): 3-24 (2018) - [j37]David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber:
The 25th International Conference on Case-Based Reasoning. AI Mag. 39(2): 79-80 (2018) - [j36]Alexandra Coman, David W. Aha:
AI Rebel Agents. AI Mag. 39(3): 16-26 (2018) - [j35]Odd Erik Gundersen, Yolanda Gil, David W. Aha:
On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications. AI Mag. 39(3): 56-68 (2018) - [c129]Matthew Molineaux, Dustin Dannenhauer, David W. Aha:
Towards Explainable NPCs: A Relational Exploration Learning Agent. AAAI Workshops 2018: 565-569 - [c128]Rey Pocius, David Isele, Mark Roberts, David W. Aha:
Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI 2018: 8135-8136 - [c127]David H. Ménager, Dongkyu Choi, Mark Roberts, David W. Aha:
Learning Planning Operators from Episodic Traces. AAAI Spring Symposia 2018 - [c126]Matthew Molineaux, Michael W. Floyd, Dustin Dannenhauer, David W. Aha:
Human-Agent Teaming as a Common Problem for Goal Reasoning. AAAI Spring Symposia 2018 - [c125]David Isele, Eric Eaton, Mark Roberts, David W. Aha:
Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS 2018: 1965-1967 - [c124]J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha:
Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks. ICCBR 2018: 399-414 - 2017
- [j34]Michael W. Floyd, David W. Aha:
Using explanations to provide transparency during trust-guided behavior adaptation. AI Commun. 30(3-4): 281-294 (2017) - [c123]Alexandra Coman, Benjamin Johnson, Gordon Briggs, David W. Aha:
Social Attitudes of AI Rebellion: A Framework. AAAI Workshops 2017 - [c122]David H. Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha:
Dynamic Goal Recognition Using Windowed Action Sequences. AAAI Workshops 2017 - [c121]Vikas Shivashankar, Ron Alford, David W. Aha:
Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. AAAI 2017: 3658-3664 - [c120]David W. Aha, Alexandra Coman:
The AI Rebellion: Changing the Narrative. AAAI 2017: 4826-4830 - [c119]Michael W. Floyd, J. T. Turner, David W. Aha:
Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. AAAI Spring Symposia 2017 - [c118]Son Thanh To, Benjamin Johnson, Mark Roberts, David W. Aha:
A New Approach to Temporal Planning with Rich Metric Temporal Properties. ICAPS 2017: 288-296 - [c117]Michael W. Floyd, J. T. Turner, David W. Aha:
Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS 2017: 50-55 - [c116]Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha:
Towards Deception Detection in a Language-Driven Game. FLAIRS 2017: 388-393 - [c115]Michael W. Floyd, Justin Karneeb, David W. Aha:
Case-Based Team Recognition Using Learned Opponent Models. ICCBR 2017: 123-138 - [c114]Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha:
A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. IJCAI 2017: 4714-4721 - [e2]David W. Aha, Jean Lieber:
Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings. Lecture Notes in Computer Science 10339, Springer 2017, ISBN 978-3-319-61029-0 [contents] - [i6]J. T. Turner, Kalyan Moy Gupta, David W. Aha:
SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR abs/1708.07522 (2017) - 2016
- [j33]Luke K. McDowell, David W. Aha:
Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks. ACM Trans. Knowl. Discov. Data 11(1): 2:1-2:37 (2016) - [c113]Son Thanh To, Mark Roberts, Thomas Apker, Benjamin Johnson, David W. Aha:
Mixed Propositional Metric Temporal Logic: A New Formalism for Temporal Planning. AAAI Workshop: Planning for Hybrid Systems 2016 - [c112]William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart:
Dimensionality Reduced Reinforcement Learning for Assistive Robots. AAAI Fall Symposia 2016 - [c111]Mark Roberts, Laura M. Hiatt, Alexandra Coman, Dongkyu Choi, Benjamin Johnson, David W. Aha:
ActorSim, A Toolkit for Studying Cross-Disciplinary Challenges in Autonomy. AAAI Fall Symposia 2016 - [c110]J. T. Turner, Kalyan Moy Gupta, David W. Aha:
Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features. AIPR 2016: 1-6 - [c109]J. T. Turner, Kalyan Moy Gupta, David W. Aha:
SPARCNN: Spatially related convolutional neural networks. AIPR 2016: 1-6 - [c108]Ron Alford, Gregor Behnke, Daniel Höller, Pascal Bercher, Susanne Biundo, David W. Aha:
Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Tail-Recursive HTN Problems. ICAPS 2016: 20-28 - [c107]Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha:
Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. ECAI 2016: 1702-1703 - [c106]Michael W. Floyd, David W. Aha:
Incorporating Transparency During Trust-Guided Behavior Adaptation. ICCBR 2016: 124-138 - [c105]Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha:
Semantic Classification of Utterances in a Language-Driven Game. CGW@IJCAI 2016: 116-129 - [c104]Ron Alford, Vikas Shivashankar, Mark Roberts, Jeremy Frank, David W. Aha:
Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing. IJCAI 2016: 3022-3029 - [c103]Michael Maynord, Sambit Bhattacharya, David W. Aha:
Image Surveillance Assistant. WACV Workshops 2016: 1-7 - [i5]J. T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha:
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. CoRR abs/1603.00502 (2016) - [i4]Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha:
Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. CoRR abs/1607.01729 (2016) - 2015
- [j32]Constance L. Heitmeyer, Marc Pickett, Elizabeth I. Leonard, Myla M. Archer, Indrakshi Ray, David W. Aha, J. Gregory Trafton:
Building high assurance human-centric decision systems. Autom. Softw. Eng. 22(2): 159-197 (2015) - [c102]Ron Alford, Pascal Bercher, David W. Aha:
Tight Bounds for HTN Planning. ICAPS 2015: 7-15 - [c101]Mark Roberts, Thomas Apker, Benjamin Johnson, Bryan Auslander, Briana Wellman, David W. Aha:
Coordinating Robot Teams for Disaster Relief. FLAIRS 2015: 366-371 - [c100]Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha:
Case-Based Behavior Recognition in Beyond Visual Range Air Combat. FLAIRS 2015: 379-384 - [c99]Michael Maynord, Swaroop Vattam, David W. Aha:
Increasing the Runtime Speed of Case-Based Plan Recognition. FLAIRS 2015: 385-390 - [c98]Swaroop Vattam, David W. Aha, Michael W. Floyd:
Error Tolerant Plan Recognition: An Empirical Investigation. FLAIRS 2015: 397-403 - [c97]Bryan Auslander, Michael W. Floyd, Thomas Apker, Benjamin Johnson, Mark Roberts, David W. Aha:
Learning to Estimate: A Case-Based Approach to Task Execution Prediction. ICCBR 2015: 15-29 - [c96]Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha:
Case-Based Policy and Goal Recognition. ICCBR 2015: 30-43 - [c95]Keith A. Frazer, Swaroop Vattam, David W. Aha:
Flexible Plan-Subplan Matching for Plan Recognition in Case-Based Agents. ICCBR (Workshops) 2015: 78-87 - [c94]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Improving Trust-Guided Behavior Adaptation Using Operator Feedback. ICCBR 2015: 134-148 - [c93]Swaroop Vattam, David W. Aha:
Case-Based Plan Recognition Under Imperfect Observability. ICCBR 2015: 381-395 - [c92]Ron Alford, Pascal Bercher, David W. Aha:
Tight Bounds for HTN Planning with Task Insertion. IJCAI 2015: 1502-1508 - [c91]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Trust-Guided Behavior Adaptation Using Case-Based Reasoning. IJCAI 2015: 4261-4267 - [c90]Ron Alford, Pascal Bercher, David W. Aha:
Tight Bounds for HTN Planning with Task Insertion (Extended Abstract). SOCS 2015: 221-222 - [i3]J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta:
Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR abs/1512.07502 (2015) - 2014
- [c89]Matthew Molineaux, David W. Aha:
Learning Unknown Event Models. AAAI 2014: 395-401 - [c88]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust. AAAI Fall Symposia 2014 - [c87]Bryan Auslander, Tom Apker, David W. Aha:
Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams. ICCBR 2014: 32-47 - [c86]Michael W. Floyd, Michael Drinkwater, David W. Aha:
How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust. ICCBR 2014: 125-139 - [c85]Swaroop Vattam, David W. Aha, Michael W. Floyd:
Case-Based Plan Recognition Using Action Sequence Graphs. ICCBR 2014: 495-510 - [c84]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Adapting Autonomous Behavior Using an Inverse Trust Estimation. ICCSA (1) 2014: 728-742 - 2013
- [j31]David C. Uthus, David W. Aha:
Multiparticipant chat analysis: A survey. Artif. Intell. 199-200: 106-121 (2013) - [j30]Matthew Klenk, Matthew Molineaux, David W. Aha:
Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations. Comput. Intell. 29(2): 187-206 (2013) - [c83]David C. Uthus, David W. Aha:
The Ubuntu Chat Corpus for Multiparticipant Chat Analysis. AAAI Spring Symposium: Analyzing Microtext 2013 - [c82]Luke K. McDowell, David W. Aha:
Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks. CIKM 2013: 847-852 - [c81]Marc Pickett, David W. Aha:
Spontaneous Analogy by Piggybacking on a Perceptual System. CogSci 2013 - [c80]Myriam Abramson, David W. Aha:
User Authentication from Web Browsing Behavior. FLAIRS 2013 - [c79]Marc Pickett, David W. Aha, J. Gregory Trafton:
Acquiring User Models to Test Automated Assistants. FLAIRS 2013 - [c78]David C. Uthus, David W. Aha:
Extending Word Highlighting in Multiparticipant Chat. FLAIRS 2013 - [c77]Mark A. Wilson, Matthew Molineaux, David W. Aha:
Domain-Independent Heuristics for Goal Formulation. FLAIRS 2013 - [c76]Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha:
Case-Based Goal-Driven Coordination of Multiple Learning Agents. ICCBR 2013: 164-178 - [c75]Constance L. Heitmeyer, Marc Pickett, Len Breslow, David W. Aha, J. Greg Trafton, Elizabeth I. Leonard:
High assurance human-centric decision systems. RAISE@ICSE 2013: 35-41 - [c74]David C. Uthus, David W. Aha:
Detecting Bot-Answerable Questions in Ubuntu Chat. IJCNLP 2013: 747-752 - [i2]Marc Pickett, David W. Aha:
Spontaneous Analogy by Piggybacking on a Perceptual System. CoRR abs/1310.2955 (2013) - 2012
- [j29]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:
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33(1): 57-70 (2012) - [j28]Ryan A. Rossi, Luke K. McDowell, David William Aha, Jennifer Neville:
Transforming Graph Data for Statistical Relational Learning. J. Artif. Intell. Res. 45: 363-441 (2012) - [j27]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha:
Analysis of the IJCNN 2011 UTL challenge. Neural Networks 32: 174-178 (2012) - [c73]Bryan Auslander, Kalyan Moy Gupta, David William Aha:
Maritime Threat Detection Using Probabilistic Graphical Models. FLAIRS 2012 - [c72]Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha:
Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy. ICCBR 2012: 182-195 - [c71]Luke K. McDowell, David W. Aha:
Semi-Supervised Collective Classification via Hybrid Label Regularization. ICML 2012 - [i1]Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville:
Transforming Graph Representations for Statistical Relational Learning. CoRR abs/1204.0033 (2012) - 2011
- [j26]Matthew Klenk, David W. Aha, Matthew Molineaux:
The Case for Case-Based Transfer Learning. AI Mag. 32(1): 54-69 (2011) - [c70]Matthew Molineaux, David W. Aha, Ugur Kuter:
Learning Event Models that Explain Anomalies. ExaCt 2011: 21-30 - [c69]Jay H. Powell, Matthew Molineaux, David W. Aha:
Active and Interactive Discovery of Goal Selection Knowledge. FLAIRS 2011 - [c68]Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha:
Integrated Learning for Goal-Driven Autonomy. IJCAI 2011: 2450-2455 - [c67]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha:
Unsupervised and transfer learning challenge. IJCNN 2011: 793-800 - 2010
- [j25]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:
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31(4): 95-108 (2010) - [c66]Matthew Molineaux, Matthew Klenk, David W. Aha:
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects. AAAI 2010: 1115-1120 - [c65]Matthew Molineaux, Matthew Klenk, David W. Aha:
Goal-Driven Autonomy in a Navy Strategy Simulation. AAAI 2010: 1548-1554 - [c64]Luke K. McDowell, Kalyan Moy Gupta, David W. Aha:
Meta-Prediction for Collective Classification. FLAIRS 2010 - [c63]Hector Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux:
Applying Goal Driven Autonomy to a Team Shooter Game. FLAIRS 2010 - [c62]Héctor Muñoz-Avila, Ulit Jaidee, David W. Aha, Elizabeth Carter:
Goal-Driven Autonomy with Case-Based Reasoning. ICCBR 2010: 228-241
2000 – 2009
- 2009
- [j24]Frederick E. Petry, Roy Ladner, Kalyan Moy Gupta, Philip Moore, David W. Aha:
Design of an Integrated Web Services Brokering System. Int. J. Inf. Technol. Web Eng. 4(3): 58-77 (2009) - [j23]Luke K. McDowell, Kalyan Moy Gupta, David W. Aha:
Cautious Collective Classification. J. Mach. Learn. Res. 10: 2777-2836 (2009) - [j22]David W. Aha:
Case-Based Approximate Reasoning. Künstliche Intell. 23(1): 45 (2009) - [c61]Kennard R. Laviers, Gita Sukthankar, David W. Aha, Matthew Molineaux:
Improving Offensive Performance Through Opponent Modeling. AIIDE 2009 - [c60]Nan Li, David J. Stracuzzi, Gary Cleveland, Tolga Könik, Daniel G. Shapiro, Matthew Molineaux, David W. Aha, Kamal Ali:
Constructing Game Agents from Video of Human Behavior. AIIDE 2009 - [c59]Matthew Molineaux, David W. Aha, Gita Sukthankar:
Beating the Defense: Using Plan Recognition to Inform Learning Agents. FLAIRS 2009 - [c58]David W. Aha, Matthew Molineaux, Gita Sukthankar:
Case-Based Reasoning in Transfer Learning. ICCBR 2009: 29-44 - [c57]Kalyan Moy Gupta, David W. Aha, Philip Moore:
Case-Based Collective Inference for Maritime Object Classification. ICCBR 2009: 434-449 - 2008
- [j21]Roy Ladner, Frederick E. Petry, Kalyan Moy Gupta, Elizabeth Warner, Philip Moore, David W. Aha:
Soft computing techniques for web services brokering. Soft Comput. 12(11): 1089-1098 (2008) - [c56]Kalyan Moy Gupta, Michael Zang, Adam Gray, David W. Aha, Joe Kriege:
Enabling the Interoperability of Large-Scale Legacy Systems. AAAI 2008: 1679-1684 - [c55]Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha:
IMT: A Mixed-Initiative Data Mapping and Search Toolkit. AAAI 2008: 1890-1891 - [c54]Matthew Molineaux, David W. Aha, Philip Moore:
Learning Continuous Action Models in a Real-Time Strategy Environment. FLAIRS 2008: 257-262 - 2007
- [j20]Marc J. V. Ponsen, Pieter Spronck, Héctor Muñoz-Avila, David W. Aha:
Knowledge acquisition for adaptive game AI. Sci. Comput. Program. 67(1): 59-75 (2007) - [c53]Luke K. McDowell, Kalyan Moy Gupta, David W. Aha:
Cautious Inference in Collective Classification. AAAI 2007: 596-601 - [c52]Luke K. McDowell, Kalyan Moy Gupta, David W. Aha:
Case-Based Collective Classification. FLAIRS 2007: 399-404 - [c51]David McSherry, David W. Aha:
Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues. ICCBR 2007: 107-121 - [c50]David McSherry, David W. Aha:
The Ins and Outs of Critiquing. IJCAI 2007: 962-967 - 2006
- [j19]Marc J. V. Ponsen, Hector Muñoz-Avila, Pieter Spronck, David W. Aha:
Automatically Generating Game Tactics through Evolutionary Learning. AI Mag. 27(3): 75-84 (2006) - [c49]David W. Aha, Matthew Molineaux, Philip Moore:
A Testbed for Evaluating AI Research Systems in Commercial Games. AIIDE 2006: 137-138 - [c48]Kalyan Moy Gupta, David W. Aha, Philip Moore:
Rough Set Feature Selection Algorithms for Textual Case-Based Classification. ECCBR 2006: 166-181 - [c47]David McSherry, David W. Aha:
Avoiding Long and Fruitless Dialogues in Critiquing. SGAI Conf. 2006: 173-186 - 2005
- [j18]Okhtay Ilghami, Dana S. Nau, Héctor Muñoz-Avila, David W. Aha:
Learning Preconditions for Planning from Plan Traces and HTN Structure. Comput. Intell. 21(4): 388-413 (2005) - [j17]David W. Aha, Cindy Marling, Ian D. Watson:
Case-based reasoning commentaries: introduction. Knowl. Eng. Rev. 20(3): 201-202 (2005) - [j16]David W. Aha, David McSherry, Qiang Yang:
Advances in conversational case-based reasoning. Knowl. Eng. Rev. 20(3): 247-254 (2005) - [c46]Marc J. V. Ponsen, Héctor Muñoz-Avila, Pieter Spronck, David W. Aha:
Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning. AAAI 2005: 1535-1540 - [c45]Matthew Molineaux, David W. Aha:
TIELT: A Testbed for Gaming Environments. AAAI 2005: 1690-1691 - [c44]Kalyan Moy Gupta, David W. Aha:
Automating Planning Using Natural Language. FLAIRS 2005: 828-829 - [c43]David W. Aha, Matthew Molineaux, Marc J. V. Ponsen:
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game. ICCBR 2005: 5-20 - [c42]Keith Needels, Matthew Molineaux, David W. Aha:
Evaluating Case-Based Systems in Virtual Games. ICCBR Workshops 2005: 206-216 - [c41]Okhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha:
Learning approximate preconditions for methods in hierarchical plans. ICML 2005: 337-344 - [c40]David W. Aha:
Conversational Case-Based Reasoning. PReMI 2005: 30 - [c39]Kalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal:
Rough Set Feature Selection Methods for Case-Based Categorization of Text Documents. PReMI 2005: 792-798 - 2004
- [c38]Kalyan Moy Gupta, David W. Aha, Philip G. Moore:
Learning Feature Taxonomies for Case Indexing. ECCBR 2004: 211-226 - [c37]Kalyan Moy Gupta, David W. Aha:
Towards Acquiring Case Indexing Taxonomies From Text. FLAIRS 2004: 172-177 - 2003
- [j15]Rosina Weber, David W. Aha:
Intelligent delivery of military lessons learned. Decis. Support Syst. 34(3): 287-304 (2003) - [c36]J. William Murdock, David W. Aha, Len Breslow:
Case-Based Argumentation via Process Models. FLAIRS 2003: 134-138 - [c35]J. William Murdock, David W. Aha, Len Breslow:
Assessing Elaborated Hypotheses: An Interpretive Case-Based Reasoning Approach. ICCBR 2003: 332-346 - 2002
- [j14]Cynthia R. Marling, Mohammed H. Sqalli, Edwina L. Rissland, Héctor Muñoz-Avila, David W. Aha:
Case-Based Reasoning Integrations. AI Mag. 23(1): 69-86 (2002) - [c34]Okhtay Ilghami, Dana S. Nau, Héctor Muñoz-Avila, David W. Aha:
CaMeL: Learning Method Preconditions for HTN Planning. AIPS 2002: 131-142 - [c33]Kalyan Moy Gupta, David W. Aha, Nabil Sandhu:
Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval. ECCBR 2002: 133-147 - [c32]David W. Aha, Kalyan Moy Gupta:
Causal Query Elaboration in Conversational Case-Based Reasoning. FLAIRS 2002: 95-100 - [c31]Rosina Weber, David W. Aha:
Intelligent elicitation of military lessons. IUI 2002: 226-227 - [c30]Anthony J. Barbera, John A. Horst, Craig Schlenoff, David W. Aha:
Task analysis of autonomous on-road driving. Mobile Robots 2002: 61-72 - [c29]John A. Horst, Anthony J. Barbera, Craig Schlenoff, David W. Aha:
Identifying sensory processing requirements for an on-road driving application of 4D/RCS. Mobile Robots 2002: 73-84 - 2001
- [j13]Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. 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:
AAAI 2000 Workshop Reports. AI Mag. 22(1): 127-136 (2001) - [j12]David W. Aha, Héctor Muñoz-Avila:
Introduction: Interactive Case-Based Reasoning. Appl. Intell. 14(1): 7-8 (2001) - [j11]David W. Aha, Len Breslow, Héctor Muñoz-Avila:
Conversational Case-Based Reasoning. Appl. Intell. 14(1): 9-32 (2001) - [j10]Rosina Weber, David W. Aha, Irma Becerra-Fernandez:
Intelligent lessons learned systems. Expert Syst. Appl. 20(1): 17-34 (2001) - [c28]David W. Aha, Rosina Weber, Héctor Muñoz-Avila, Len Breslow, Kalyan Moy Gupta:
Bridging the Lesson Distribution Gap. IJCAI 2001: 987-992 - [c27]Héctor Muñoz-Avila, David W. Aha, Dana S. Nau, Rosina Weber, Len Breslow, Fusun Yaman:
SiN: Integrating Case-based Reasoning with Task Decomposition. IJCAI 2001: 999-1004 - [e1]David W. Aha, Ian D. Watson:
Case-Based Reasoning Research and Development, 4th International Conference on Case-Based Reasoning, ICCBR 2001, Vancouver, BC, Canada, July 30 - August 2, 2001, Proceedings. Lecture Notes in Computer Science 2080, Springer 2001, ISBN 3-540-42358-3 [contents] - 2000
- [j9]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:
Reports on the AAAI 1999 Workshop Program. AI Mag. 21(1): 95-100 (2000) - [c26]Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau, Rosina Weber-Lee:
Integrating Conversational Case Retrieval with generative Planning. EWCBR 2000: 210-221 - [c25]Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow:
Active Delivery for Lessons Learned Systems. EWCBR 2000: 322-334 - [c24]Rosina Weber, David W. Aha, Karl Branting, J. Robert Lucas, Irma Becerra-Fernandez:
Active Case-Based Reasoning for Lessons Delivery System. FLAIRS 2000: 170-174 - [c23]Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow:
An Intelligent Lessons Learned Process. ISMIS 2000: 358-367
1990 – 1999
- 1999
- [c22]Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau:
HICAP: An Interactive Case-Based Planning Architecture and its Application to Noncombatant Evacuation Operations. AAAI/IAAI 1999: 870-875 - [c21]Irma Becerra-Fernandez, David W. Aha:
Case-Based Problem Solving for Knowledge Management Systems. FLAIRS 1999: 219-223 - [c20]David W. Aha:
The AAAI-99 KM/CBR Workshop: Summary of Contributions. ICCBR Workshops 1999: 37-44 - [c19]Héctor Muñoz-Avila, Daniel C. McFarlane, David W. Aha, Len Breslow, James A. Ballas, Dana S. Nau:
Using Guidelines to Constrain Interactive Case-Based HTN Planning. ICCBR 1999: 288-302 - 1998
- [j8]Simon Kasif, Steven Salzberg, David L. Waltz, John Rachlin, David W. Aha:
A Probabilistic Framework for Memory-Based Reasoning. Artif. Intell. 104(1-2): 287-311 (1998) - [j7]David W. Aha:
The omnipresence of case-based reasoning in science and application. Knowl. Based Syst. 11(5-6): 261-273 (1998) - [c18]Francesco Ricci, David W. Aha:
Error-Correcting Output Codes for Local Learners. ECML 1998: 280-291 - [c17]David W. Aha, Tucker Maney, Len Breslow:
Supporting Dialogue Inferencing in Conversational Case-Based Reasoning. EWCBR 1998: 262-273 - 1997
- [j6]David W. Aha:
Editorial. Artif. Intell. Rev. 11(1-5): 7-10 (1997) - [j5]Dietrich Wettschereck, David W. Aha, Takao Mohri:
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms. Artif. Intell. Rev. 11(1-5): 273-314 (1997) - [j4]Leonard A. Breslow, David W. Aha:
Simplifying decision trees: A survey. Knowl. Eng. Rev. 12(1): 1-40 (1997) - [c16]Leonard A. Breslow, David W. Aha:
Comparing Tree-Simplification Procedures. AISTATS 1997: 67-74 - [c15]David W. Aha, Dietrich Wettschereck:
Case-Based Learning: Beyond Classification of Feature Vectors. ECML 1997: 329-336 - [c14]David W. Aha, Len Breslow:
Refining Conversational Case Libraries. ICCBR 1997: 267-278 - 1995
- [c13]David W. Aha, Richard L. Bankert:
A Comparative Evaluation of Sequential Feature Selection Algorithms. AISTATS 1995: 199-206 - [c12]Dietrich Wettschereck, David W. Aha:
Weighting Features. ICCBR 1995: 347-358 - [c11]Karl Branting, David W. Aha:
Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes. IJCAI 1995: 384-390 - 1994
- [c10]David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin:
Inverting Implication with Small Training Sets. ECML 1994: 31-48 - [c9]David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin:
Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994: 12-18 - [c8]John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha:
Towards a Better Understanding of Memory-based Reasoning Systems. ICML 1994: 242-250 - 1993
- [c7]David W. Aha:
Integrating machine learning with knowledge-based systems. ANNES 1993: 150-151 - 1992
- [j3]David W. Aha:
Tolerating Noisy, Irrelevant and Novel Attributes in Instance-Based Learning Algorithms. Int. J. Man Mach. Stud. 36(2): 267-287 (1992) - [c6]David W. Aha:
Generalizing from Case studies: A Case Study. ML 1992: 1-10 - 1991
- [j2]David W. Aha, Dennis F. Kibler, Marc K. Albert:
Instance-Based Learning Algorithms. Mach. Learn. 6: 37-66 (1991) - [c5]Marc K. Albert, David W. Aha:
Analyses of Instance-Based Learning Algorithms. AAAI 1991: 553-558 - [c4]David W. Aha:
Incremental Constructive Induction: An Instance-Based Approach. ML 1991: 117-121
1980 – 1989
- 1989
- [j1]Dennis F. Kibler, David W. Aha, Marc K. Albert:
Instance-based prediction of real-valued attributes. Comput. Intell. 5: 51-57 (1989) - [c3]David W. Aha:
Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions. ML 1989: 387-391 - [c2]David W. Aha, Dennis F. Kibler:
Noise-Tolerant Instance-Based Learning Algorithms. IJCAI 1989: 794-799 - 1988
- [c1]Dennis F. Kibler, David W. Aha:
Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. EWSL 1988: 63-79
Coauthor Index
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