URBS-Lab Machine Learning and Artificial Intelligence Research Overview (2023)

Описание: This video provides an overview of the current major research directions, software/tools, projects, and collaborations in my machine learning and artificial intelligence lab in the Department of Computational Biomedicine at the Cedars Sinai Medical Center. It was prepared to help orient new and existing collaborators, students, and staff, or anyone interested in our lab's research.

Weblinks:
http://ryanurbanowicz.com/
https://github.com/UrbsLab
https://github.com/UrbsLab/STREAMLINE

Chapters:
0:00 Introduction
0:45 Background
5:40 Artificial Intelligence and Machine Learning
8:29 Overview of URBS-Lab Tools
10:42 STREAMLINE (Automated Machine Learning)
13:50 GAMETES (Data Simulation)
14:14 ReBATE (Interaction Sensitive Feature Selection)
15:49 Rule-Based Machine Learning
17:32 Capturing Complexity with LCS
19:11 ExSTraCS (ML Modeling)
20:29 LCS-DIVE (Rule Interpretation)
21:05 FIBERS (Feature Learning/Binning)
22:14 Major Collaborations and Research
23:53 Conclusion