[AI Seminar] Online AI Seminar on April 14 (Zoom) -- Thomas G. Dietterich -- Advances in Anomaly Detection. AI seminar is sponsored by Fortive.

[Aayush Bansal]

Thomas G. Dietterich (Oregon State University) will be giving an online
seminar on "Advances in Anomaly Detection" from *12:00 - 01:00 PM* on April
14. This is a joint seminar with the Institute of Software Research (ISR).

Zoom Link: *https://cmu.zoom.us/j/778021232
<https://cmu.zoom.us/j/778021232>*
(NOTE: different zoom link for this talk)

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Advances in Anomaly Detection

*Abstract: *Anomaly detection is important for data cleaning, cyber
security, and robust AI systems. This talk will review recent work in our
group on (a) benchmarking existing algorithms, (b) developing a theoretical
understanding of their behavior, (c) explaining anomaly "alarms" to a data
analyst, and (d) interactively re-ranking candidate anomalies in response
to analyst feedback. Then the talk will describe two applications: (a)
detecting and diagnosing sensor failures in weather networks and (b) open
category detection in supervised learning.

*Bio*: Dr. Dietterich (AB Oberlin College 1977; MS University of Illinois
1979; PhD Stanford University 1984) is Professor Emeritus in the School of
Electrical Engineering and Computer Science at Oregon State University,
where he joined the faculty in 1985. Dietterich is one of the pioneers of
the field of Machine Learning and has authored more than 190 refereed
publications and two books. His research is motivated by challenging real
world problems with a special focus on robust artificial intelligence and
sustainable development. He is best known for his work on ensemble methods
in machine learning including the development of error-correcting output
coding. Dietterich has also invented the MAXQ method for hierarchical
reinforcement learning. He has a long record of service to the AI/ML
community including President of AAAI, President of the IMLS, and Executive
Editor of Machine Learning. He currently serves as one of the moderators
for the arXiv machine learning category. He tweets as @tdietterich.


To learn more about the seminar series, please visit the website:
http://www.cs.cmu.edu/~aiseminar/


-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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