Canadian AI

Publications

2023

Md. Al Maruf, Akramul Azim
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. Canadian AI (2023)
Hamid Vosoughi
Leveraging AI to investigate the impact of different research funding programs on research outcome. Canadian AI (2023)
Xu Wang, Yuehan Qi
A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems. Canadian AI (2023)
Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu
PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes. Canadian AI (2023)
Ruikang Luo, François Rivest, Farhana H. Zulkernine
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI (2023)
Ericsson Chenebuah, Michel Nganbe, Alain Tchagang
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. Canadian AI (2023)
36th Canadian Conference on Artificial Intelligence, Canadian AI, CANAI 2023, Montreal, Canada, June 5-9, 2023, Proceedings Canadian AI (2023)
Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaïane
Exploring Preferential Label Smoothing for Neural Network-based Classifiers. Canadian AI (2023)
Sharon Chee Yin Ho
From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art. Canadian AI (2023)
Hongzhi Zhang, Omair Shafiq
Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data. Canadian AI (2023)
Callaghan Wilmott
Exploring the Impact of Representation on Agent Learning. Canadian AI (2023)
Gaurav Jariwala, Vlado Keselj
Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning. Canadian AI (2023)
Pratheeksha Nair
Graph learning with programmatic weak supervision. Canadian AI (2023)
Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, Mattis Hartwig
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. Canadian AI (2023)
Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo
GUILGET: GUI Layout GEneration with Transformer. Canadian AI (2023)
Mozhgan Salimiparsa
Counterfactual Explanations for Rankings. Canadian AI (2023)
Paul Quinlan, Qingguo Li, Xiaodan Zhu
Guided Learning of Human Sensor Models with Low-Level Grounding. Canadian AI (2023)
Emily Medema
A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine. Canadian AI (2023)
Ahmed Mabrouk
Anomaly Detection and Explanation of Wind Turbine Main Bearings using Autoencoder and Bayesian Network Models. Canadian AI (2023)
Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu
Machine learning for the prediction of safe and biologically active organophosphorus molecules. Canadian AI (2023)
Valentin-Gabriel Soumah, Prashanth Rao, Philipp Eibl, Maite Taboada
Radar de Parité: An NLP system to measure gender representation in French news stories. Canadian AI (2023)
Md Mezbaur Rahman, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Azam Hossain, Abu Raihan Mostofa Kamal
Multihop Factual Claim Verification Using Natural Language Prompts. Canadian AI (2023)
Ruixin Song
Network Analysis and Vessel Flow Prediction for Risk Assessment of Biological Invasion of Non-indigenous Aquatic Species. Canadian AI (2023)
Saeedeh Jamali
An Explainable Deep Few-shot Network for Protein Family Classification. Canadian AI (2023)
Aaron Hunter, Richard Booth
Joint Trust for Belief Revision. Canadian AI (2023)
Jonathan Winton, Francis Palma
Improving Software Requirements Prioritization through the Lens of Constraint Satisfaction. Canadian AI (2023)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anna Norris, Kadence Meredith
Upward Pass Semantics in Arithmetic Circuit Inference. Canadian AI (2023)
Mateusz Ogrodowczyk, Joanna Kurczalska, Jakub Eichner, Adam Mickiewicz
InDeSTra - system for interior design style transfer. Canadian AI (2023)
Abder-Rahman Ali, Peng Guo, Anthony E. Samir
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. Canadian AI (2023)
Vicky Kuo
Machine Learning for Hotel Booking Cancellations Prediction. Canadian AI (2023)
Zachary Yang
When does Continuous Learning for BERT make sense? Canadian AI (2023)
Mohammad Al Ridhawi, Hussein Al Osman
Stock Market Prediction from Sentiment and Financial Stock Data Using Machine Learning. Canadian AI (2023)
Julien da Silva
Looking the Part: The AI Zombie Problem and the Anti-Turing Test. Canadian AI (2023)
Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. Canadian AI (2023)
Sudipta Singha Roy, Robert E. Mercer, Souvik Kundu
Personality Trait Detection using an Hierarchy of Tree-transformers and Graph Attention Network. Canadian AI (2023)
Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI (2023)
Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco
Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. Canadian AI (2023)
Bahar Sateli, Fernanda Del Castillo, Rod Moshtagi
Towards determining the criticality of AI applications: A model risk management perspective. Canadian AI (2023)
Stacey Taylor, Vlado Keselj
Don't Worry Accountants, ChatGPT Won't Be Taking Your Job...Yet. Canadian AI (2023)
Sazia Mahfuz
An Empirical Analysis on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data. Canadian AI (2023)
Dalia Shanshal
Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry. Canadian AI (2023)
Michiel Dhont, Elena Tsiporkova
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains. Canadian AI (2023)
Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI (2023)
Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. Canadian AI (2023)
Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco
TAVo: Tor Application Detection with Voting Critic. Canadian AI (2023)
David Beauchemin, Richard Khoury
RISC: Generating Realistic Synthetic Bilingual Insurance Contract. Canadian AI (2023)
Tom Picherit, Louis-Philip Lampron, Michael Morin, Gabriel Caron-Guillemette, Jonathan Gaudreault
Supervised recommendations of gas metal arc welding parameters. Canadian AI (2023)
Kellin Pelrine
Better Bridges Between Model and Real World. Canadian AI (2023)
Sepideh Nahali, Leila Safari, Alireza Khanteymoori, Hajer Ayadi, Jimmy X. Huang
IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance. Canadian AI (2023)
Jingjing Zheng, John Hawkin, Charles Robertson, Alexander J. M. Howse, Yuanzhu Chen, Xianta Jiang
Unsupervised Financial Fraud Detection Using Low-rank Recovery. Canadian AI (2023)