Interpretable Machine Learning

Schedule
2023
Tuesday, January 3rd
12:00 AM	Bayesian Networks for Interpretable Cyberattack Detection Barnett Yang, Sandia National Laboratories Matt Hoffman, Sandia National Laboratories Nathanael Brown, Sandia National Laboratories Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents Burak Cankaya, Embry Riddle Aeronautical University Kazim Topuz, University of Tulsa Aaron Glassman, Embry-Riddle Aeronautical University Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Hebbian Continual Representation Learning Pawel Morawiecki, Institute of Computer Science, Polish Academy of Sciences Andrii Krutsylo, Institute of Computer Science, Polish Academy of Sciences Maciej Wołczyk, Jagiellonian University Marek Śmieja, Jagiellonian University Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Introduction to the Minitrack on Interpretable Machine Learning Ismail Abdulrashid, University of Tulsa Kazim Topuz, University of Tulsa Akhilesh Bajaj, University of Tulsa Online 12:00 AM - 12:00 AM Visit Site

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