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Canadian AI 2023

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

Short Papers

by Aaron Hunter and Richard Booth

Joint Trust for Belief Revision

by Sepideh Nahali, Leila Safari, Alireza Khanteymoori, Hajer Ayadi, and Jimmy Huang

IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance

by Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, and Anguang Hu

Machine learning for the prediction of safe and biologically active organophosphorus molecules

by Davood Pirayesh Neghab, Mucahit Cevik, and Ayse Basar

Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques

by Ruikang Luo, Francois Rivest, and Farhana Zulkernine

I3D Light - A Simple Motion Information Stream for I3D

by Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, and Xin Wang

Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks

by Amirhossein Daneshpajouh, Megan Fowler, and Kay C. Wiese

Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing

by Mohammad Al Ridhawi and Hussein Al Osman

Stock Market Prediction from Sentiment and Financial Stock Data Using Machine Learning

by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, and Richard K.G. Do

Parameter-Efficient Methods for Metastases Detection fromClinical Notes

by Jingjing Zheng, John Hawkin, Charles Robertson, Alexander Howse, Yuanzhu Chen, and Xianta Jiang

Unsupervised Financial Fraud Detection Using Low-rank Recovery