- Shehroz S. Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf:
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays. Canadian AI 2021 - Shehroz S. Khan, Thaejaesh Sooriyakumaran, Richard K. Brewer, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis:
Tracking agitation in people living with dementia in a care environment. Canadian AI 2021 - Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar:
A BERT-based transfer learning approach to text classification on software requirements specifications. Canadian AI 2021 - David Gregory LeBlanc, Greg Lee:
General Deep Reinforcement Learning in NES Games. Canadian AI 2021 - Maryam MahdavyRad:
Geo-Team Formation Model for Impromptu Activities. Canadian AI 2021 - Subhadip Maji, Raghav Bali, Sree Harsha Ankem, Kishore V. Ayyadevara:
A Simple and Interpretable Predictive Model for Healthcare. Canadian AI 2021 - Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar:
Named Entity Recognition on Software Requirements Specification Documents. Canadian AI 2021 - Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi:
Neural Network Architectures and Feature Extraction for Lumber Production Prediction. Canadian AI 2021 - Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs:
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. Canadian AI 2021 - Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs:
Position Encoding Schemes for Linear Aggregation of Word Sequences. Canadian AI 2021 - Erik McGuire, Noriko Tomuro:
Sentiment Analysis with Cognitive Attention Supervision. Canadian AI 2021 - Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, Ahmed Khoumsi:
On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings. Canadian AI 2021 - Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative:
Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian AI 2021 - Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian AI 2021 - Lief Pagalan:
Population-Based Risk Prediction Models to Predict and Prevent Premature Mortality in Canadian Cities. Canadian AI 2021 - Marco Peixeiro, Nada Naji, Eric Charton:
Direct Answer Threshold Optimization in Dialogue Systems. Canadian AI 2021 - Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Planning for Connected Agents in a Partially Known Environment. Canadian AI 2021 - Taha Racicot, Richard Khoury, Christophe Pere
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Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute. Canadian AI 2021 - Tobias Renwick, Denilson Barbosa:
Detection and Identification of Obfuscated Obscene Language with Character Level Transformers. Canadian AI 2021 - Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig:
A User-Centered Design of Explainable AI for Clinical Decision Support. Canadian AI 2021 - Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin:
A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian AI 2021 - Salim Sazzed:
ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles. Canadian AI 2021 - Andrey Shcherbinin, Ekaterina Safronova, Valery Anisimovskiy, Ilya Kurilin:
Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels. Canadian AI 2021 - Zhan Shi, Hui Liu, Xiaodan Zhu:
Descriptive Image Captioning with Salient Retrieval Priors. Canadian AI 2021 - Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith:
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. Canadian AI 2021 - Vincent Sippola, Robert E. Mercer:
An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data. Canadian AI 2021 - Caroline Strickland, Daniel J. Lizotte:
Hierarchical Reinforcement Learning for Decision Support in Health Care. Canadian AI 2021 - Julian Templeton, Thomas Tran:
Improved Trust Establishment Performance with Transaction-based Preprocessing. Canadian AI 2021 - Yunli Wang, Sun Sun, Wei Li:
Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows. Canadian AI 2021 - Hao Wang, Raymond Yao, Likun Hou, Jie Zhao, Xing Zhao:
A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions. Canadian AI 2021