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ORCID34th AI 2021 [online]
- Luiza Antonie, Pooya Moradian Zadeh:
Proceedings of the 34th Canadian Conference on Artificial Intelligence, Canadian AI 2021, online, May 2021. Canadian Artificial Intelligence Association 2021
Regular Papers
- Éloi Brassard-Gourdeau, Richard Khoury:
Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations. - Andrey Shcherbinin, Ekaterina Safronova, Valery Anisimovskiy, Ilya Kurilin:
Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels. - Farzana Anowar, Samira Sadaoui:
Incremental Learning with Self-labeling of Incoming High-dimensional Data. - 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. - Benjamin Ertl, Jörg Meyer, Matthias Schneider, Achim Streit:
Semi-Supervised Time Point Clustering for Multivariate Time Series. - Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Planning for Connected Agents in a Partially Known Environment. - Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau:
Understanding Capacity Saturation in Incremental Learning. - Mahtab Ahmed, Robert E. Mercer:
Encoding Dependency Information inside Tree Transformer. - Mohamed Benabdelkrim
, Céline Robardet, Jean Savinien:
Leveraging semantic for community mining in multilayer networks. - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Active Measure Reinforcement Learning for Observation Cost Minimization. - Salim Sazzed:
ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles. - Aaron Hunter:
On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief. - Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi:
Neural Network Architectures and Feature Extraction for Lumber Production Prediction. - Kartik Chaudhary, Raghav Bali:
EASTER: Simplifying Text Recognition using only 1D Convolutions. - Hao Wang, Raymond Yao, Likun Hou, Jie Zhao, Xing Zhao:
A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions. - Tobias Renwick, Denilson Barbosa:
Detection and Identification of Obfuscated Obscene Language with Character Level Transformers. - Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Driving Scene Understanding: How much temporal context and spatial resolution is necessary? - 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. - Taha Racicot, Richard Khoury, Christophe Pere:
Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute. - David Gregory LeBlanc, Greg Lee:
General Deep Reinforcement Learning in NES Games. - Erik McGuire, Noriko Tomuro:
Sentiment Analysis with Cognitive Attention Supervision. - Sri Harsha Dumpala, Sageev Oore:
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. - 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. - Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. - Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie:
Product Matching Lessons and Recommendations from a Real World Application. - Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative:
Using ProtoPNet for Interpretable Alzheimer's Disease Classification. - Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs:
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. - Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs:
Position Encoding Schemes for Linear Aggregation of Word Sequences. - Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, Ankush Mittal:
Eye-focused Detection of Bell's Palsy in Videos. - Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar:
A BERT-based transfer learning approach to text classification on software requirements specifications.
Short Papers
- Subhadip Maji, Raghav Bali, Sree Harsha Ankem, Kishore V. Ayyadevara:
A Simple and Interpretable Predictive Model for Healthcare. - Vincent Sippola, Robert E. Mercer:
An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data. - Yufei Feng, Michael A. Greenspan, Xiaodan Zhu:
Enhancing Pretrained Models with Domain Knowledge. - Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. - 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. - Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Models for Assessment of Mental Health Issues. - 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. - Zhan Shi, Hui Liu, Xiaodan Zhu:
Descriptive Image Captioning with Salient Retrieval Priors. - Marco Peixeiro, Nada Naji, Eric Charton:
Direct Answer Threshold Optimization in Dialogue Systems. - Julian Templeton, Thomas Tran:
Improved Trust Establishment Performance with Transaction-based Preprocessing. - Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco:
HEAL: Heterogeneous Ensemble and Active Learning Framework. - Zohreh Alamatian, Majid Vafaei Jahan, Amin Milani Fard:
Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis. - Yunli Wang, Sun Sun, Wei Li:
Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows. - Shehroz S. Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf:
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays. - Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, Ahmed Khoumsi:
On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings. - Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes, Yalda Mohsenzadeh:
Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection. - Tasha Baller, Kaelen Bennett, Howard J. Hamilton:
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. - Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Modeling in Embedding Spaces for Depression Assessment. - Farhood Farahnak, Elham Mohammadi, MohammadReza Davari, Leila Kosseim:
Semantic Similarity Matching Using Contextualized Representations. - Tao Yang, Daniel L. Silver:
The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions. - Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar:
Named Entity Recognition on Software Requirements Specification Documents. - Daria Yasafova, Chris Emezue:
A Computational Method for Histological Bone Research using Convolutional Neural Networks.
Graduate Student Symposium
- Théophile Berteloot:
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics. - Lynda Dib:
Interpretability of polypharmacy deep-learning models. - Amirabbas Jalali, Roy Ka-Wei Lee:
Hierarchical Expert Recommendation on Community Question Answering Platforms. - Lief Pagalan:
Population-Based Risk Prediction Models to Predict and Prevent Premature Mortality in Canadian Cities. - Mahmud Hasan:
An AI Approach for Reducing Residual Motion and Noise from Myocardial Perfusion for Assessment of Coronary Artery Disease. - Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig:
A User-Centered Design of Explainable AI for Clinical Decision Support. - Caroline Strickland, Daniel J. Lizotte:
Hierarchical Reinforcement Learning for Decision Support in Health Care. - Guillaume Desmarais-de Grandpré:
Patient representation learning from EHR data. - Didulani Acharige, Eric Johlin:
Machine learning and artificial neural networks for improved algorithmic design of nanophotonic structures. - Maryam MahdavyRad:
Geo-Team Formation Model for Impromptu Activities.
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