David W. Aha

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 47

Top Venues

ICCBR

CoRR

FLAIRS Conference

AI Mag.

Publications

Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. 113 (6) (2024)
Kenji Brameld, Germán Castro, Claude Sammut, Mark Roberts, David W. Aha
Human-Centric Goal Reasoning with Ripple-Down Rules. CoRR (2024)
Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd, Noah Reifsnyder, David W. Aha
Self-directed Learning of Action Models using Exploratory Planning. CoRR (2022)
Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
Interpretable ML for Imbalanced Data. CoRR (2022)
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)
Divya Srivastava, Daniel M. Lofaro, Tristan Schuler, Donald Sofge, David W. Aha
Case-Based Gesture Interface for Multiagent Formation Control. ICCBR (2020)
David Gunning, David W. Aha
DARPA's Explainable Artificial Intelligence (XAI) Program. AI Mag. 40 (2) (2019)
Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. CoRR (2019)
Rey Pocius, David Isele, Mark Roberts, David W. Aha
Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI (2018)
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) (2018)
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)
David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber
The 25th International Conference on Case-Based Reasoning. AI Mag. 39 (2) (2018)
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) (2018)
Matthew Molineaux, Dustin Dannenhauer, David W. Aha
Towards Explainable NPCs: A Relational Exploration Learning Agent. AAAI Workshops (2018)
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) (2018)
David Ménager, Dongkyu Choi, Mark Roberts, David W. Aha
Learning Planning Operators from Episodic Traces. AAAI Spring Symposia (2018)
Alexandra Coman, David W. Aha
AI Rebel Agents. AI Mag. 39 (3) (2018)
David Isele, Eric Eaton, Mark Roberts, David W. Aha
Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS (2018)
David W. Aha
Goal Reasoning: Foundations, Emerging Applications, and Prospects. AI Mag. 39 (2) (2018)
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) (2018)
Matthew Molineaux, Michael W. Floyd, Dustin Dannenhauer, David W. Aha
Human-Agent Teaming as a Common Problem for Goal Reasoning. AAAI Spring Symposia (2018)
Son Thanh To, Benjamin Johnson, Mark Roberts, David W. Aha
A New Approach to Temporal Planning with Rich Metric Temporal Properties. ICAPS (2017)
Michael W. Floyd, J. T. Turner, David W. Aha
Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS Conference (2017)
Vikas Shivashankar, Ron Alford, David W. Aha
Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. AAAI (2017)
David Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha
Dynamic Goal Recognition Using Windowed Action Sequences. AAAI Workshops (2017)
Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha
Towards Deception Detection in a Language-Driven Game. FLAIRS Conference (2017)
Michael W. Floyd, Justin Karneeb, David W. Aha
Case-Based Team Recognition Using Learned Opponent Models. ICCBR (2017)
J. T. Turner, Kalyan Moy Gupta, David W. Aha
SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR (2017)
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)
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)
David W. Aha, Alexandra Coman
The AI Rebellion: Changing the Narrative. AAAI (2017)
Michael W. Floyd, David W. Aha
Using explanations to provide transparency during trust-guided behavior adaptation. AI Commun. 30 (3-4) (2017)
Alexandra Coman, Benjamin Johnson, Gordon Briggs, David W. Aha
Social Attitudes of AI Rebellion: A Framework. AAAI Workshops (2017)
Michael W. Floyd, David W. Aha
Incorporating Transparency During Trust-Guided Behavior Adaptation. ICCBR (2016)
Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha
Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. CoRR (2016)
Luke K. McDowell, David W. Aha
Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart
Dimensionality Reduced Reinforcement Learning for Assistive Robots. AAAI Fall Symposia (2016)
Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha
Semantic Classification of Utterances in a Language-Driven Game. CGW@IJCAI (2016)
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)
Vikas Shivashankar, Ron Alford, Mark Roberts, David W. Aha
Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. ECAI (2016)
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)
J. T. Turner, Kalyan Moy Gupta, David W. Aha
SPARCNN: Spatially related convolutional neural networks. AIPR (2016)
Ron Alford, Vikas Shivashankar, Mark Roberts, Jeremy Frank, David W. Aha
Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing. IJCAI (2016)
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)
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 (2016)
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)
Michael Maynord, Sambit Bhattacharya, David W. Aha
Image Surveillance Assistant. WACV Workshops (2016)
J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta
Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR (2015)
Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha
Case-Based Policy and Goal Recognition. ICCBR (2015)
Keith A. Frazer, Swaroop Vattam, David W. Aha
Flexible Plan-Subplan Matching for Plan Recognition in Case-Based Agents. ICCBR (Workshops) (2015)
Mark Roberts, Thomas Apker, Benjamin Johnson, Bryan Auslander, Briana Wellman, David W. Aha
Coordinating Robot Teams for Disaster Relief. FLAIRS Conference (2015)
Swaroop Vattam, David W. Aha, Michael W. Floyd
Error Tolerant Plan Recognition: An Empirical Investigation. FLAIRS Conference (2015)
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)
Michael Maynord, Swaroop Vattam, David W. Aha
Increasing the Runtime Speed of Case-Based Plan Recognition. FLAIRS Conference (2015)
Swaroop Vattam, David W. Aha
Case-Based Plan Recognition Under Imperfect Observability. ICCBR (2015)
Michael W. Floyd, Michael Drinkwater, David W. Aha
Improving Trust-Guided Behavior Adaptation Using Operator Feedback. ICCBR (2015)
Ron Alford, Pascal Bercher, David W. Aha
Tight Bounds for HTN Planning with Task Insertion. IJCAI (2015)
Ron Alford, Pascal Bercher, David W. Aha
Tight Bounds for HTN Planning. ICAPS (2015)
Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha
Case-Based Behavior Recognition in Beyond Visual Range Air Combat. FLAIRS Conference (2015)
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) (2015)
Ron Alford, Pascal Bercher, David W. Aha
Tight Bounds for HTN Planning with Task Insertion (Extended Abstract). SOCS (2015)
Michael W. Floyd, Michael Drinkwater, David W. Aha
Trust-Guided Behavior Adaptation Using Case-Based Reasoning. IJCAI (2015)
Michael W. Floyd, Michael Drinkwater, David W. Aha
How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust. ICCBR (2014)
Bryan Auslander, Tom Apker, David W. Aha
Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams. ICCBR (2014)
Matthew Molineaux, David W. Aha
Learning Unknown Event Models. AAAI (2014)
Michael W. Floyd, Michael Drinkwater, David W. Aha
Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust. AAAI Fall Symposia (2014)
Swaroop Vattam, David W. Aha, Michael W. Floyd
Case-Based Plan Recognition Using Action Sequence Graphs. ICCBR (2014)
Michael W. Floyd, Michael Drinkwater, David W. Aha
Adapting Autonomous Behavior Using an Inverse Trust Estimation. ICCSA (1) (2014)
Matthew Klenk, Matthew Molineaux, David W. Aha
Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations. Comput. Intell. 29 (2) (2013)
Luke K. McDowell, David W. Aha
Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks. CIKM (2013)
Marc Pickett, David W. Aha
Spontaneous Analogy by Piggybacking on a Perceptual System. CogSci (2013)
Mark A. Wilson, Matthew Molineaux, David W. Aha
Domain-Independent Heuristics for Goal Formulation. FLAIRS Conference (2013)
Myriam Abramson, David W. Aha
User Authentication from Web Browsing Behavior. FLAIRS Conference (2013)
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)
David C. Uthus, David W. Aha
Extending Word Highlighting in Multiparticipant Chat. FLAIRS Conference (2013)
Marc Pickett, David W. Aha
Spontaneous Analogy by Piggybacking on a Perceptual System. CoRR (2013)
David C. Uthus, David W. Aha
The Ubuntu Chat Corpus for Multiparticipant Chat Analysis. AAAI Spring Symposium: Analyzing Microtext (2013)
David C. Uthus, David W. Aha
Multiparticipant chat analysis: A survey. Artif. Intell. (2013)
Marc Pickett, David W. Aha, J. Gregory Trafton
Acquiring User Models to Test Automated Assistants. FLAIRS Conference (2013)
Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
Case-Based Goal-Driven Coordination of Multiple Learning Agents. ICCBR (2013)
David C. Uthus, David W. Aha
Detecting Bot-Answerable Questions in Ubuntu Chat. IJCNLP (2013)
Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy. ICCBR (2012)
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 (2012)
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 P. Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33 (1) (2012)
Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville
Transforming Graph Representations for Statistical Relational Learning CoRR (2012)
Luke K. McDowell, David W. Aha
Semi-Supervised Collective Classification via Hybrid Label Regularization. ICML (2012)
Matthew Molineaux, David W. Aha, Ugur Kuter
Learning Event Models that Explain Anomalies. ExaCt (2011)
Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha
Unsupervised and transfer learning challenge. IJCNN (2011)
Ulit Jaidee, Héctor Muñoz-Avila, David W. Aha
Integrated Learning for Goal-Driven Autonomy. IJCAI (2011)
Jay Powell, Matthew Molineaux, David W. Aha
Active and Interactive Discovery of Goal Selection Knowledge. FLAIRS Conference (2011)
Matthew Klenk, David W. Aha, Matthew Molineaux
The Case for Case-Based Transfer Learning. AI Mag. 32 (1) (2011)
Matthew Molineaux, Matthew Klenk, David W. Aha
Goal-Driven Autonomy in a Navy Strategy Simulation. AAAI (2010)
Héctor Muñoz-Avila, Ulit Jaidee, David W. Aha, Elizabeth Carter
Goal-Driven Autonomy with Case-Based Reasoning. ICCBR (2010)
Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
Meta-Prediction for Collective Classification. FLAIRS Conference (2010)
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 J. 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) (2010)
Matthew Molineaux, Matthew Klenk, David W. Aha
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects. AAAI (2010)
Hector Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux
Applying Goal Driven Autonomy to a Team Shooter Game. FLAIRS Conference (2010)
David W. Aha, Matthew Molineaux, Gita Sukthankar
Case-Based Reasoning in Transfer Learning. ICCBR (2009)
Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
Cautious Collective Classification. J. Mach. Learn. Res. 10 (2009)
Kalyan Moy Gupta, David W. Aha, Philip Moore
Case-Based Collective Inference for Maritime Object Classification. ICCBR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

David W. Aha