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Canadian AI 2024

Proceedings of the 37th Canadian Conference on Artificial Intelligence Canadian AI 2024 Long Papers Canadian AI 2024 ShortPapers Canadian AI 2024 Graduate Student Symposium

Graduate Student Symposium 2024

by Nisha Simon

Large Language Models are Incoherent Storytellers

by Peash Ranjan Saha

Generalized Voting Model To Measure Popularity Of Matchings

by Andrei Neagu

Deep Reinforcement Learning Algorithms for FinancialDecision-Making

by Vishvam Porwal

EarthEncode: A Vision-Language Framework for Balanced SoilProperty Mapping

by ZeMing Gong and Austin T. Wang

BioScan-CLIP: Contrastive Learning forAligning Biological Images and DNA Sequences

by Kristina L. Kupferschmidt and Cody Kupferschmidt

Enhancing Food Price Forecasts in Canada: An Integration ofExpert-Driven Covariates and Advanced ML Approaches

by Joseph O’Neill

A Fully Secure Approach to Privacy-Preserving Machine Learningfor Satellite Image Classification

by Kota Shamanth Ramanath Nayak

Does ChatGPT Measure Up to Discourse Unit Segmentation?A Comparative Analysis Utilizing Zero-Shot Custom Prompts

by Sayana Varughese and Cathrine Nayrouz

Artificial Intelligence solution to monitor key human biomedicalmarker via thermal camera

by Mehjabin Rahman

USING AI PLANNING AND MULTI-AGENT PATHFINDINGFOR DROPLET ROUTING

by Zayn J. Abbas

The Use of Human Evaluators in Emotion Text-Detection

by Ibrahim Aslam

Storage Reduction for the Vehicular IoT Data withTransformer-based Autoencoders

by Daniel Sadig and Reza Samavi

Certified Robustness Guarantee for Ensemble Networks

by Kelly McConvey and Shion Guha

Designing for Fairness in Higher Education Early WarningSystems