Michael W. Floyd

49 papers A* 2B 1C 13Misc 10Journal 7Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices. CoRR Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B. Rauch, Noah D. Reifsnyder, John Meyer, J. T. Turner, Michael W. Floyd, Matthew Molineaux, Rosina O. Weber
2025	—	`conf`	Decision-Maker Alignment: Benchmark Datasets. CAI Anik Sen, Rosina O. Weber, Christopher B. Rauch, Mallika Mainali, J. T. Turner, John Meyer, Michael W. Floyd, Matthew Molineaux
2025	J	`jnl`	Developing synthetic microdata through machine learning for firm-level business surveys. CoRR Jorge Cisneros, Timothy Wojan, Matthew Williams, Jennifer Ozawa, Robert Chew, Kimberly Janda, Timothy Navarro, Michael W. Floyd, Christine Task, Damon Streat
2025	—	`conf`	Levels of AI Memory - And Case-Based Ways for LLMs to Ascend Them. ICCBR Workshops Michael W. Floyd, David Leake, David H. Ménager, Ian D. Watson, Kaitlynne Wilkerson
2025	—	`conf`	Role-Based Ethics for Decision-Maker Alignment. CAI Christopher B. Rauch, Matthew Molineaux, Mallika Mainali, Anik Sen, Michael W. Floyd, Rosina O. Weber
2024	—	`conf`	Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J. T. Turner, Rosina Weber
2024	C	`conf`	Aligning to Human Decision-Makers in Military Medical Triage. ICCBR Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer
2024	C	`conf`	Counterfactual-Based Synthetic Case Generation. ICCBR Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber
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
2021	C	`ed.`	Case-Based Reasoning Research and Development - 29th International Conference, ICCBR 2021, Salamanca, Spain, September 13-16, 2021, Proceedings ICCBR Antonio A. Sánchez-Ruiz, Michael W. Floyd
2021	Misc	`conf`	HTN Learning via Transfer Learning of Domain Landmarks. FLAIRS Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta
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`	Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. CoRR Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha
2019	C	`conf`	NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
2019	—	`conf`	Workshop preface. ICCBR Workshops Antonio A. Sánchez-Ruiz, Michael W. Floyd
2018	—	`conf`	Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis
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	—	`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	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	Misc	`conf`	Special Track on Case-Based Reasoning. FLAIRS Stelios Kapetanakis, Michael W. Floyd
2018	J	`jnl`	Supplemental observation acquisition for learning by observation agents. Appl. Intell. Michael W. Floyd, Babak Esfandiari
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	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	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	C	`conf`	Incorporating Transparency During Trust-Guided Behavior Adaptation. ICCBR Michael W. Floyd, 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	C	`conf`	Case-Based Policy and Goal Recognition. ICCBR Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha
2015	Misc	`conf`	Error Tolerant Plan Recognition: An Empirical Investigation. FLAIRS Swaroop Vattam, David W. Aha, Michael W. Floyd
2015	C	`conf`	Improving Trust-Guided Behavior Adaptation Using Operator Feedback. ICCBR Michael W. Floyd, Michael Drinkwater, 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	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 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
2013	Misc	`conf`	A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts. FLAIRS Santiago Ontañón, Michael W. Floyd
2013	Misc	`conf`	Special Track on Case-Based Reasoning. FLAIRS Michael W. Floyd, Santiago Ontañón
2012	Misc	`conf`	Special Track on Case-Based Reasoning. FLAIRS Michael W. Floyd
2011	B	`conf`	A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation. ICTAI Michael W. Floyd, Babak Esfandiari
2011	Misc	`conf`	Supplemental Case Acquisition Using Mixed-Initiative Control. FLAIRS Michael W. Floyd, Babak Esfandiari
2010	—	`conf`	Creation of DEVS models using imitation learning. SummerSim Michael W. Floyd, Gabriel A. Wainer
2009	C	`conf`	An Active Approach to Automatic Case Generation. ICCBR Michael W. Floyd, Babak Esfandiari
2008	Misc	`conf`	A Case-Based Reasoning Approach to Imitating RoboCup Players. FLAIRS Michael W. Floyd, Babak Esfandiari, Kevin Lam
2008	—	`conf`	Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation. ECCBR Michael W. Floyd, Alan Davoust, Babak Esfandiari
2008	—	`conf`	Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning. Canadian AI Alan Davoust, Michael W. Floyd, Babak Esfandiari