Canadian AI 2023 Long Papers

Canadian AI 2023

Proceedings of the 36th Canadian Conference on Artificial Intelligence Canadian AI 2023 Long Papers Canadian AI 2023 ShortPapers Canadian AI 2024 Graduate Student Symposium Canadian AI 2023 Industry Track

Long Papers

by Robert K. Helmeczi, Savas Yıldırım, Mucahit Cevik, and Sojin Lee

Few shot learning approaches to essay scoring

by Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, and Paula Branco

Detecting Malicious .NET Files Using CLR Header Features and Machine Learning

by Christian Nordahl, Veselka Boeva, and Håkan Grahn

MultiStream EvolveCluster

by Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, Md. Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, and Abu Raihan Mostofa Kamal

ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries

by Md Mezbaur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Azam Hossain, and Abu Raihan Mostofa Kamal

Multihop Factual Claim Verification Using Natural Language Prompts

by Ericsson Chenebuah, Michel Nganbe, and Alain Tchagang

Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites

by Sudipta Singha Roy, Robert Mercer, and Souvik Kundu

Personality Trait Detection using an Hierarchy of Tree-transformers and Graph Attention Network

by Stacey Taylor and Vlado Keselj

Don’t Worry Accountants, ChatGPT Won’t Be Taking Your Job...Yet

by Hongzhi Zhang and Omair Shafiq

Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data

by Mohammed Gasmallah, Francois Rivest, Farhana Zulkernine, and Mélanie Breton

Quantifying Path Smoothness in Video Object Tracking by Detection

by Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, and Mattis Hartwig

Improved Techniques for Training Tabular GANs Using Cramer’s V Statistics

by Abder-Rahman Ali, Peng Guo, and Anthony E. Samir

Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement

by Md Al Maruf and Akramul Azim

Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices

by Gaurav Jariwala and Vlado Keselj

Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning

by David Beauchemin and Richard Khoury

RISC: Generating Realistic Synthetic Bilingual Insurance Contract

by Cory Butz, Jhonatan Oliveira, André dos Santos, Anna Norris, and Kadence Meredith

Upward Pass Semantics in Arithmetic Circuit Inference

by Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, and Pascal Germain

PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations

by Valentin-Gabriel Soumah, Prashanth Rao, Philipp Eibl, and Maite Taboada

Radar de Parité: An NLP system to measure gender representation in French news stories

by Julien da Silva

Looking the Part: The AI Zombie Problem and the Anti-Turing Test

by Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, and Paula Branco

TAVo: Tor Application Detection with Voting Critic

by Jonathan Winton and Francis Palma

Improving Software Requirements Prioritization through the Lens of Constraint Satisfaction

by Tom Picherit, Louis-Philip Lampron, Michael Morin, Gabriel Caron-Guillemette, and Jonathan Gaudreault

Supervised recommendations of gas metal arc welding parameters

by Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, and Jin L.C. Guo

GUILGET: GUI Layout GEneration with Transformer

by Muhammad Al Digeil, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, and Dan-Xia Xu

PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes

by Paul Quinlan, Qingguo Li, and Xiaodan Zhu

Guided Learning of Human Sensor Models with Low-Level Grounding

by Paritosh Goyal, Chenyang Huang, Amine Trabelsi, and Osmar Zaïane

Exploring Preferential Label Smoothing for Neural Network-based Classifiers

by Michiel Dhont and Elena Tsiporkova

Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains

by Ella Morgan and Christian Muise

Learning to Recognize Reachable States from Visual Domains

by Garima Malik, Savas Yildirim, Mucahit Cevik, and Ayse Bener

An Empirical Study on Vagueness Detection in Privacy Policy Texts

by Ahmed Mabrouk