default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID36th CANAI 2023: Montreal, QC, Canada
- Amílcar Soares, Farhana H. Zulkernine, Renata Dividino, Reihaneh Rabbany, Qiang Ye, David Beach, Karim Ali:
36th Canadian Conference on Artificial Intelligence, Canadian AI, CANAI 2023, Montreal, Canada, June 5-9, 2023, Proceedings. Canadian Artificial Intelligence Association 2023
Long papers
- Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee:
Few shot learning approaches to essay scoring. - Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco:
Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. - Christian Nordahl, Veselka Boeva, Håkan Grahn:
MultiStream EvolveCluster. - Raian Rahman
, Rizvi Hasan, Abdullah Al Farhad, Md. Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, Abu Raihan Mostofa Kamal:
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries. - 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. - Ericsson Chenebuah, Michel Nganbe, Alain Tchagang:
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. - Sudipta Singha Roy, Robert E. Mercer, Souvik Kundu:
Personality Trait Detection using an Hierarchy of Tree-transformers and Graph Attention Network. - Stacey Taylor, Vlado Keselj:
Don't Worry Accountants, ChatGPT Won't Be Taking Your Job...Yet. - Hongzhi Zhang, Omair Shafiq:
Towards Improving Text Classification Tasks Based on Knowledge Graphs for Limited Labeled Data. - Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton:
Quantifying Path Smoothness in Video Object Tracking by Detection. - Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Möller, Mattis Hartwig:
Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. - 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. - Md. Al Maruf, Akramul Azim:
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. - Gaurav Jariwala, Vlado Keselj:
Mimicking Electronic Gaming Machine Player Behavior Using Reinforcement Learning. - David Beauchemin, Richard Khoury:
RISC: Generating Realistic Synthetic Bilingual Insurance Contract. - Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anna Norris, Kadence Meredith:
Upward Pass Semantics in Arithmetic Circuit Inference. - Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain:
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. - Valentin-Gabriel Soumah, Prashanth Rao, Philipp Eibl, Maite Taboada:
Radar de Parité: An NLP system to measure gender representation in French news stories. - Julien da Silva:
Looking the Part: The AI Zombie Problem and the Anti-Turing Test. - Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco:
TAVo: Tor Application Detection with Voting Critic. - Jonathan Winton, Francis Palma:
Improving Software Requirements Prioritization through the Lens of Constraint Satisfaction. - Tom Picherit, Louis-Philip Lampron, Michael Morin, Gabriel Caron-Guillemette, Jonathan Gaudreault:
Supervised recommendations of gas metal arc welding parameters. - Andrey Sobolevsky, Guillaume-Alexandre Bilodeau, Jinghui Cheng, Jin L. C. Guo:
GUILGET: GUI Layout GEneration with Transformer. - 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. - Paul Quinlan, Qingguo Li, Xiaodan Zhu:
Guided Learning of Human Sensor Models with Low-Level Grounding. - Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaïane:
Exploring Preferential Label Smoothing for Neural Network-based Classifiers. - Michiel Dhont, Elena Tsiporkova:
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains. - Ella Morgan, Christian Muise:
Learning to Recognize Reachable States from Visual Domains. - Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener:
An Empirical Study on Vagueness Detection in Privacy Policy Texts. - Ahmed Mabrouk:
Anomaly Detection and Explanation of Wind Turbine Main Bearings using Autoencoder and Bayesian Network Models.
Short papers
- Aaron Hunter, Richard Booth:
Joint Trust for Belief Revision. - Sepideh Nahali, Leila Safari, Alireza Khanteymoori, Hajer Ayadi, Jimmy X. Huang:
IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance. - Hang Hu, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Anguang Hu:
Machine learning for the prediction of safe and biologically active organophosphorus molecules. - Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar:
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. - Ruikang Luo, François Rivest, Farhana H. Zulkernine:
I3D Light - A Simple Motion Information Stream for I3D. - 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. - Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese:
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing. - Mohammad Al Ridhawi, Hussein Al Osman:
Stock Market Prediction from Sentiment and Financial Stock Data Using Machine Learning. - Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. - Jingjing Zheng, John Hawkin, Charles Robertson, Alexander J. M. Howse, Yuanzhu Chen, Xianta Jiang:
Unsupervised Financial Fraud Detection Using Low-rank Recovery.
Graduate Student Symposium
- Sharon Chee Yin Ho:
From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art. - Emily Medema:
A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine. - Xu Wang, Yuehan Qi:
A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems. - Ali Ghaemmaghami:
Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning. - Kellin Pelrine:
Better Bridges Between Model and Real World. - Saeedeh Jamali:
An Explainable Deep Few-shot Network for Protein Family Classification. - Hamid Vosoughi:
Leveraging AI to investigate the impact of different research funding programs on research outcome. - Sazia Mahfuz:
An Empirical Analysis on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data. - Mozhgan Salimiparsa:
Counterfactual Explanations for Rankings. - Callaghan Wilmott:
Exploring the Impact of Representation on Agent Learning. - Zachary Yang:
When does Continuous Learning for BERT make sense? - Vicky Kuo:
Machine Learning for Hotel Booking Cancellations Prediction. - Ruixin Song:
Network Analysis and Vessel Flow Prediction for Risk Assessment of Biological Invasion of Non-indigenous Aquatic Species. - Pratheeksha Nair:
Graph learning with programmatic weak supervision. - Daria Maltseva:
Heuristic Restart Methods for Optimal Surgery Scheduling. - Mateusz Ogrodowczyk, Joanna Kurczalska, Jakub Eichner, Adam Mickiewicz:
InDeSTra - system for interior design style transfer.
Industry Track
- Bahar Sateli, Fernanda Del Castillo, Rod Moshtagi:
Towards determining the criticality of AI applications: A model risk management perspective. - Dalia Shanshal:
Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-09 22:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
