Canadian Conference on AI

Keyphrases

Publications

2021

Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, Sargur N. Srihari
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects. Canadian Conference on 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 Conference on AI (2021)
Farzana Anowar, Samira Sadaoui
Incremental Learning with Self-labeling of Incoming High-dimensional Data. Canadian Conference on AI (2021)
Maryam MahdavyRad
Geo-Team Formation Model for Impromptu Activities. Canadian Conference on AI (2021)
Éloi Brassard-Gourdeau, Richard Khoury
Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations. Canadian Conference on AI (2021)
Aaron Hunter
On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief. Canadian Conference on AI (2021)
Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs
Topic Models for Assessment of Mental Health Issues. Canadian Conference on AI (2021)
Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig
A User-Centered Design of Explainable AI for Clinical Decision Support. Canadian Conference on AI (2021)
Sri Harsha Dumpala, Sageev Oore
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. Canadian Conference on AI (2021)
Erik McGuire, Noriko Tomuro
Sentiment Analysis with Cognitive Attention Supervision. Canadian Conference on AI (2021)
Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs
Topic Modeling in Embedding Spaces for Depression Assessment. Canadian Conference on AI (2021)
Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, Ankush Mittal
Eye-focused Detection of Bell's Palsy in Videos. Canadian Conference on AI (2021)
Proceedings of the 34th Canadian Conference on Artificial Intelligence, Canadian AI 2021, online, May 2021 Canadian Conference on AI (2021)
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
Active Measure Reinforcement Learning for Observation Cost Minimization. Canadian Conference on 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 Conference on 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 Conference on AI (2021)
Mahmud Hasan
An AI Approach for Reducing Residual Motion and Noise from Myocardial Perfusion for Assessment of Coronary Artery Disease. Canadian Conference on AI (2021)
Benjamin Ertl, Jörg Meyer, Matthias Schneider, Achim Streit
Semi-Supervised Time Point Clustering for Multivariate Time Series. Canadian Conference on AI (2021)
Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes, Yalda Mohsenzadeh
Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection. Canadian Conference on AI (2021)
Kartik Chaudhary, Raghav Bali
EASTER: Simplifying Text Recognition using only 1D Convolutions. Canadian Conference on 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 Conference on AI (2021)
Lynda Dib
Interpretability of polypharmacy deep-learning models. Canadian Conference on AI (2021)
Taha Racicot, Richard Khoury, Christophe Pere
Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute. Canadian Conference on AI (2021)
Andrey Shcherbinin, Ekaterina Safronova, Valery Anisimovskiy, Ilya Kurilin
Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels. Canadian Conference on AI (2021)
Tasha Baller, Kaelen Bennett, Howard J. Hamilton
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. Canadian Conference on AI (2021)
Yufei Feng, Michael A. Greenspan, Xiaodan Zhu
Enhancing Pretrained Models with Domain Knowledge. Canadian Conference on 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 Conference on AI (2021)
Daria Yasafova, Chris Emezue
A Computational Method for Histological Bone Research using Convolutional Neural Networks. Canadian Conference on AI (2021)
Vincent Sippola, Robert E. Mercer
An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data. Canadian Conference on AI (2021)
Farhood Farahnak, Elham Mohammadi, MohammadReza Davari, Leila Kosseim
Semantic Similarity Matching Using Contextualized Representations. Canadian Conference on AI (2021)
Didulani Acharige, Eric Johlin
Machine learning and artificial neural networks for improved algorithmic design of nanophotonic structures. Canadian Conference on AI (2021)
Zohreh Alamatian, Majid Vafaei Jahan, Amin Milani Fard
Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis. Canadian Conference on AI (2021)
Ramashish Gaurav, Bryan Tripp, Apurva Narayan
Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian Conference on AI (2021)
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian Conference on AI (2021)
Guillaume Desmarais-de Grandpré
Patient representation learning from EHR data. Canadian Conference on AI (2021)
Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie
Product Matching Lessons and Recommendations from a Real World Application. Canadian Conference on AI (2021)
Stephen Obadinma, Hongyu Guo, Xiaodan Zhu
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian Conference on AI (2021)
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau
Understanding Capacity Saturation in Incremental Learning. Canadian Conference on AI (2021)
Julian Templeton, Thomas Tran
Improved Trust Establishment Performance with Transaction-based Preprocessing. Canadian Conference on AI (2021)
Lief Pagalan
Population-Based Risk Prediction Models to Predict and Prevent Premature Mortality in Canadian Cities. Canadian Conference on AI (2021)
Zhan Shi, Hui Liu, Xiaodan Zhu
Descriptive Image Captioning with Salient Retrieval Priors. Canadian Conference on AI (2021)
Tao Yang, Daniel L. Silver
The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions. Canadian Conference on AI (2021)
Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. Canadian Conference on AI (2021)
Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs
Position Encoding Schemes for Linear Aggregation of Word Sequences. Canadian Conference on AI (2021)
Mahtab Ahmed, Robert E. Mercer
Encoding Dependency Information inside Tree Transformer. Canadian Conference on AI (2021)
Amirabbas Jalali, Roy Ka-Wei Lee
Hierarchical Expert Recommendation on Community Question Answering Platforms. Canadian Conference on AI (2021)
Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian Conference on AI (2021)
Marco Peixeiro, Nada Naji, Eric Charton
Direct Answer Threshold Optimization in Dialogue Systems. Canadian Conference on AI (2021)
Théophile Berteloot
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics. Canadian Conference on 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 Conference on AI (2021)