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Machine Learning Seminar by Dr. Alexandre Benoit – Analyzing gamma-ray astronomy data with deep learning and first steps towards explainability

Machine Learning Seminar by Dr. Alexandre Benoit – Analyzing gamma-ray astronomy data with deep learning and first steps towards explainability

by Kaiqi Zhao | Jul 6, 2021 | UoA Machine Learning Seminars

Machine Learning Seminar by Dr. Alexandre Benoit – Analyzing gamma-ray astronomy data with deep learning and first steps towards explainability July 28, 2021 6:00 pm - 7:00 pm Download iCal file for this event Short Bio   Alexandre received PhD degree in electronics...
ML Student Seminar on July 1 2021: Text Generation from Table Data and Background Knowledge

ML Student Seminar on July 1 2021: Text Generation from Table Data and Background Knowledge

by Katharina Dost | Jun 24, 2021 | ML Student Seminar, News

Where and when: Thursday, July 1 at 2-3pm in 303S-561 Speaker: Qianqian Qi (Beryl), PhD student, supervised by Michael Witbrock and Jiamou Liu Abstract: Controlling text generation according to some specification is an important research area. Semantic representation...

ML Student Seminar on June 17 2021: Defining Explainability Via Mental Models

by Katharina Dost | Jun 10, 2021 | ML Student Seminar, News

Where and when: Thursday, June 17 at 2-3pm in 303S-561 Speaker: Mike Merry, PhD student, supervised by Pat Riddle, and Jim Warren Abstract: Wide-ranging concerns exist regarding the use of black-box artificial intelligence (AI) in sensitive contexts. Despite...
Machine Learning Seminar by Jan N. van Rijn – Automating the Data Science Pipeline: AutoML, Meta-learning and OpenML

Machine Learning Seminar by Jan N. van Rijn – Automating the Data Science Pipeline: AutoML, Meta-learning and OpenML

by Joerg Simon Wicker | Jun 9, 2021 | UoA Machine Learning Seminars

Machine Learning Seminar by Jan N. van Rijn – Automating the Data Science Pipeline: AutoML, Meta-learning and OpenML June 30, 2021 6:00 pm - 7:00 pm UoA Machine Learning Seminars Download iCal file for this event RSVP If you want to join us for this seminar, please...
Provisional Year Seminar – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in  Networks

Provisional Year Seminar – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in Networks

by Joerg Simon Wicker | May 31, 2021 | News, PYR, Seminar

Provisional Year Review – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in Networks May 31, 2021 1:00 pm - 2:00 pm Provisional Year Seminar , Seminar Download iCal file for this...
ML Student Seminar June 3 2021: Data has shape and shape has meaning

ML Student Seminar June 3 2021: Data has shape and shape has meaning

by Katharina Dost | May 27, 2021 | ML Student Seminar, News

Where and when: Thursday, June 3 at 2-3pm in 303S-561 Speaker: Neset Tan, PhD student, supervised by Mark Gahegan and Michael Witbrock Abstract: Geometric and topological tools can be effective for understanding complex data. Topological data analysis is a young and...
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