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ORCIDMichael W. Floyd
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2020 – today
- 2024
[c40]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:
Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia 2024: 583-585- [c39]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:
Aligning to Human Decision-Makers in Military Medical Triage. ICCBR 2024: 371-387 - [c38]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:
Counterfactual-Based Synthetic Case Generation. ICCBR 2024: 388-403 - 2022
- [i2]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) - 2021
- [c37]Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta:
HTN Learning via Transfer Learning of Domain Landmarks. FLAIRS 2021 - [e1]Antonio A. Sánchez-Ruiz, Michael W. Floyd:
Case-Based Reasoning Research and Development - 29th International Conference, ICCBR 2021, Salamanca, Spain, September 13-16, 2021, Proceedings. Lecture Notes in Computer Science 12877, Springer 2021, ISBN 978-3-030-86956-4 [contents] - 2020
- [c36]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
2010 – 2019
- 2019
- [c35]Antonio A. Sánchez-Ruiz, Michael W. Floyd:
Workshop preface. ICCBR Workshops 2019: 162-164 - [c34]J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates:
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR 2019: 373-387 - [i1]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
- [j3]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) - [j2]Michael W. Floyd, Babak Esfandiari:
Supplemental observation acquisition for learning by observation agents. Appl. Intell. 48(11): 4338-4354 (2018) - [c33]Matthew Molineaux, Michael W. Floyd, Dustin Dannenhauer, David W. Aha:
Human-Agent Teaming as a Common Problem for Goal Reasoning. AAAI Spring Symposia 2018 - [c32]Stelios Kapetanakis, Michael W. Floyd:
Special Track on Case-Based Reasoning. FLAIRS 2018: 370 - [c31]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 - [c30]Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis:
Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. 2018: 210-216 - 2017
- [j1]Michael W. Floyd, David W. Aha:
Using explanations to provide transparency during trust-guided behavior adaptation. AI Commun. 30(3-4): 281-294 (2017) - [c29]David H. Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha:
Dynamic Goal Recognition Using Windowed Action Sequences. AAAI Workshops 2017 - [c28]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 - [c27]Michael W. Floyd, J. T. Turner, David W. Aha:
Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS 2017: 50-55 - [c26]Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha:
Towards Deception Detection in a Language-Driven Game. FLAIRS 2017: 388-393 - [c25]Michael W. Floyd, Justin Karneeb, David W. Aha:
Case-Based Team Recognition Using Learned Opponent Models. ICCBR 2017: 123-138 - [c24]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 - 2016
- [c23]Michael W. Floyd, David W. Aha:
Incorporating Transparency During Trust-Guided Behavior Adaptation. ICCBR 2016: 124-138 - [c22]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 - 2015
- [c21]Swaroop Vattam, David W. Aha, Michael W. Floyd:
Error Tolerant Plan Recognition: An Empirical Investigation. FLAIRS 2015: 397-403 - [c20]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 - [c19]Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha:
Case-Based Policy and Goal Recognition. ICCBR 2015: 30-43 - [c18]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Improving Trust-Guided Behavior Adaptation Using Operator Feedback. ICCBR 2015: 134-148 - [c17]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Trust-Guided Behavior Adaptation Using Case-Based Reasoning. IJCAI 2015: 4261-4267 - 2014
- [c16]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust. AAAI Fall Symposia 2014 - [c15]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 - [c14]Swaroop Vattam, David W. Aha, Michael W. Floyd:
Case-Based Plan Recognition Using Action Sequence Graphs. ICCBR 2014: 495-510 - [c13]Michael W. Floyd, Michael Drinkwater, David W. Aha:
Adapting Autonomous Behavior Using an Inverse Trust Estimation. ICCSA (1) 2014: 728-742 - 2013
- [c12]Michael William Floyd, Babak Esfandiari:
Analysis and Cleaning of User Traces Through Comparison of Multiple Traces. FLAIRS 2013 - [c11]Michael W. Floyd, Santiago Ontañón:
Special Track on Case-Based Reasoning. FLAIRS 2013 - [c10]Santiago Ontañón, Michael W. Floyd:
A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts. FLAIRS 2013 - 2012
- [c9]Michael W. Floyd:
Special Track on Case-Based Reasoning. FLAIRS 2012 - [c8]Michael William Floyd, Mehmet Vefa Bicakci, Babak Esfandiari:
Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation. FLAIRS 2012 - 2011
- [c7]Michael W. Floyd, Babak Esfandiari:
Supplemental Case Acquisition Using Mixed-Initiative Control. FLAIRS 2011 - [c6]Michael W. Floyd, Babak Esfandiari:
A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation. ICTAI 2011: 531-538 - 2010
- [c5]Michael W. Floyd, Gabriel A. Wainer:
Creation of DEVS models using imitation learning. SummerSim 2010: 334-341
2000 – 2009
- 2009
- [c4]Michael W. Floyd, Babak Esfandiari:
An Active Approach to Automatic Case Generation. ICCBR 2009: 150-164 - 2008
- [c3]Alan Davoust, Michael W. Floyd, Babak Esfandiari:
Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning. Canadian AI 2008: 72-83 - [c2]Michael W. Floyd, Alan Davoust, Babak Esfandiari:
Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation. ECCBR 2008: 195-209 - [c1]Michael W. Floyd, Babak Esfandiari, Kevin Lam:
A Case-Based Reasoning Approach to Imitating RoboCup Players. FLAIRS 2008: 251-256
Coauthor Index
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