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Canadian AI

Proceedings of the 36th Canadian Conference on Artificial Intelligence Canadian AI 2023 Long Papers Canadian AI 2023 ShortPapers Canadian AI 2023 Graduate Student Symposium Canadian AI 2023 Industry Track

Graduate Student Symposium

by Sharon Chee Yin Ho

From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art

by Emily Medema

A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine

by Xu Wang and Yuehan Qi

A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems

by Ali Ghaemmaghami

Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning

by Kellin Pelrine

Better Bridges Between Model and RealWorld

by Saeedeh Jamali

An Explainable Deep Few-shot Network for Protein Family Classification

by Hamid Vosoughi

Leveraging AI to investigate the impact of different research funding programs on research outcome

by Sazia Mahfuz

An Empirical Analysis on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data

by Mozhgan Salimiparsa

Counterfactual Explanations for Rankings

by Callaghan Wilmott

Exploring the Impact of Representation on Agent Learning

by Zachary Yang

When does Continuous Learning for BERT make sense?

by Vicky Kuo

Machine Learning for Hotel Booking Cancellations Prediction

by Ruixin Song

Network Analysis and Vessel Flow Prediction for Risk Assessment of Biological Invasion of Non-indigenous Aquatic Species

by Pratheeksha Nair

Graph learning with programmatic weak supervision

by Daria Maltseva

Heuristic Restart Methods for Optimal Surgery Scheduling

by Mateusz Ogrodowczyk, Joanna Kurczalska, Jakub Eichner, and Adam Mickiewicz

InDeSTra – system for interior design style transfer