Event

Fields Workshop on Machine Learning in the Presence of Class Imbalance, June 20-21

Thursday, June 20, 2019

The Fields Centre for Quantitative Analysis and Modelling lab at Carleton University, invites anyone with interests in machine learning to participate in their Workshop on Machine Learning in the Presence of Class Imbalance on Thursday, June 20 and Friday, June 21, 2019. See http://cu-cqam.ca for details and registration.

PUBLIC LECTURE: What is missing from common practice in machine learning?
Date: Thursday 20 June 2019, 6-7pm with networking to follow.
Speaker: Prof. Ali Ghodsi, University of Waterloo
Location: Health Science Building, Rm. 1301 (first floor), Carleton University
Cost: FREE

FULL-DAY WORKSHOP: Machine Learning in the Presence of Class Imbalance
Date: Friday 21 June 2019, 8:30-4:30pm
Keynote Speaker: Prof. Benjamin Fung, McGill University
Session Speakers: Stephan Jou (Interset), Robin Grosset (Mindbridge.ai), Daniel Shapiro (Lemay AI), Herna Viktor (University of Ottawa), Isuru Gunasekara (IMRSV Data Labs), Isar Nejadgholi (NRC), Dušan Sovilj (RANK Sorfware Inc.), Julio Valdes (NRC), Hamidreza Sadreazami (McGill University), Reddy Nellipudi (DB Schenker)
Location: Residence Commons Conference Room, Carleton University
Cost: $10+tax (includes lunch)

Full program details are available at http://cu-cqam.ca

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