IEEE CIS/SMC Deep Learning Challenge : vTools Events

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IEEE CIS/SMC Deep Learning Challenge

#Challenge #programming #machine #learning #deep #multi-label #classification

The IEEE Joint Chapter of Computational Intelligence Society (CIS) and Systems, Man, and Cybernetics (SMC), Windsor Section welcomes students who are interested in deep learning to participate in the second competition for the IEEE CIS/SMC Challenge.

This competition aims to offer students an opportunity to exercise and improve their problem solving, analytical, programming, and technical writing skills. Only undergraduate and graduate students of the University of Windsor are eligible to participate in the competition.

Instructions for participation:
Interested students should register for the event and download the challenge dataset from the link, to solve a multi-label classification problem, where each sample of data has two labels. The solution must be based on deep learning; however, participants are free to use any deep learning algorithm of their choice or even propose their own architecture. The data is imbalanced and can be processed as desired. Further instructions about this project are given on the second page of the event poster.

Each participant then requires to submit a report by sending a PDF file along with the zipped project file to “cissmc@uwindsor.ca”, until July 15, 2021, indicating in the email subject “CISSMC Challenge”. The report should contain the name and student ID of the participant, and the project file should contain the source code and a file containing the predicted labels.

The submitted reports and the project codes will be evaluated after the submission deadline. Only the shortlisted participants will be contacted once all submissions are reviewed.

IEEE CIS/SMC Chapter offers the following awards:
Winner for the best solution – Certificate + 500CAD gift card
2nd best solution – Certificate + 300CAD gift card
3rd best solution – Certificate + 200CAD gift card