Proceedings of the 34th Canadian Conference on Artificial Intelligence

Proceedings of the 34^th Canadian Conference on Artificial Intelligence

Luiza Antonie, Pooya Moradian Zadeh (Editors)

Month: May

Year: 2021

Address: Online

Venue: 34th Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL: caiac.pubpub.org/ai2021

Jump directly to: Long Papers — Regular Papers — Short Papers — Graduate Student Symposium

Preface

Regular Papers

Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations

by Éloi Brassard-Gourdeau and Richard Khoury

Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels

by Andrey Shcherbinin, Ekaterina Safronova, Valery Anisimovskiy, and Ilya Kurilin

Incremental Learning with Self-labeling of Incoming High-dimensional Data

by Farzana Anowar and Samira Sadaoui

Tracking agitation in people living with dementia in a care environment

by Shehroz S. Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, and Alex Mihailidis

Semi-Supervised Time Point Clustering for Multivariate Time Series

by Benjamin Ertl, Jörg Meyer, Matthias Schneider, and Achim Streit

Planning for Connected Agents in a Partially Known Environment

by Arthur Queffelec, Ocan Sankur, and François Schwarzentruber

Understanding Capacity Saturation in Incremental Learning

by Shenyang Huang, Vincent Francois-Lavet, and Guillaume Rabusseau

Encoding Dependency Information inside Tree Transformer

by Mahtab Ahmed and Robert E. Mercer

Leveraging semantic for community mining in multilayer networks

by Mohamed Benabdelkrim, Céline Robardet, and Jean Savinien

Active Measure Reinforcement Learning for Observation Cost Minimization

by Colin Bellinger, Rory Coles, Mark Crowley, and Isaac Tamblyn

ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles

by Salim Sazzed

On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief

by Aaron Hunter

Neural Network Architectures and Feature Extraction for Lumber Production Prediction

by Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, and Hind Bril El-Haouzi

EASTER: Simplifying Text Recognition using only 1D Convolutions

by Kartik Chaudhary and Raghav Bali

A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions

by Hao Wang, Raymond Yao, Likun Hou, Jie Zhao, and Xing Zhao

Detection and Identification of Obfuscated Obscene Language with Character Level Transformers

by Tobias Renwick and Denilson Barbosa

Driving Scene Understanding: How much temporal context and spatial resolution is necessary?

by Ramashish Gaurav, Bryan Tripp, and Apurva Narayan

A modularized framework for explaining hierarchical attention networks on text classifiers

by Mahtab Sarvmaili, Amilcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, and Stan Matwin

Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute

by Taha Racicot, Richard Khoury, and Christophe Pere

General Deep Reinforcement Learning in NES Games

by David Gregory LeBlanc and Greg Lee

Sentiment Analysis with Cognitive Attention Supervision

by Erik S. McGuire and Noriko Tomuro

Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion

by Sri Harsha Dumpala and Sageev Oore

AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning

by Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan Jepson, and Sheila A. McIlraith

Class-wise Calibration: A Case Study on COVID-19 Hate Speech

by Stephen Obadinma, Hongyu Guo, and Xiaodan Zhu

Product Matching Lessons and Recommendations from a Real World Application

by Jeremy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, and Luiza Antonie

Using ProtoPNet for Interpretable Alzheimer’s Disease Classification

by Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, and Alzheimer’s Disease Neuroimaging Initiative

Leveraging Textual Similarity to Predict Beck Depression Inventory Answers

by Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, and Marie-Jean Meurs

Position Encoding Schemes for Linear Aggregation of Word Sequences

by Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, and Marie-Jean Meurs

Eye-focused Detection of Bell’s Palsy in Videos

by Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, and Ankush Mittal

A BERT-based transfer learning approach to text classification on software requirements specifications

by Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, and Ayşe Başar

Short Papers

Direct Answer Threshold Optimization in Dialogue Systems

by Marco Peixeiro, Nada Naji, and Eric Charton

Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows

by Yunli Wang, Sun Sun, and Wei Li

Improved Trust Establishment Performance with Transaction-based Preprocessing

by Julian Templeton and Thomas Tran

Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction

by Rohan Bhambhoria, Samuel Dahan, and Xiaodan Zhu

Named Entity Recognition on Software Requirements Specification Documents

by Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, and Ayşe Başar

The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions

by Tao (Andy) Yang and Daniel L. Silver

Topic Modeling in Embedding Spaces for Depression Assessment

by Maxime D. Armstrong, Diego Maupomé, and Marie-Jean Meurs

Transfer Learning and Language Model Adaption for Low Resource Speech Recognition

by Tasha Baller, Kaelen Bennett, and Howard J. Hamilton

Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects

by Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, and Sargur N. Srihari

Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis

by Zohreh Alamatian, Majid Vafaei Jahan, and Amin Milani Fard

Descriptive Image Captioning with Salient Retrieval Priors

by Zhan Shi, Hui Liu, and Xiaodan Zhu

HEAL: Heterogeneous Ensemble and Active Learning Framework

by Anubhav Chhabra, Tirumala Sree Akhil Nandyala, and Paula Branco

A Simple and Interpretable Predictive Model for Healthcare

by Subhadip Maji, Raghav Bali, Sree Harsha Ankem, and Kishore V Ayyadevara

Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays

by Shehroz S. Khan, Faraz Khoshbakhtian, and Ahmed Bilal Ashraf

An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data

by Vincent Sippola and Robert E. Mercer

On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings

by Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, and Ahmed Khoumsi

PyFed: extending PySyft with N-IID Federated Learning Benchmark

by Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada

Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection

by Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes, and Yalda Mohsenzadeh

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

by Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael Greenspan, and 1 more

Enhancing Pretrained Models with Domain Knowledge

by Yufei Feng, Michael Greenspan, and Xiaodan Zhu

Semantic Similarity Matching Using Contextualized Representations

by Farhood Farahnak, Elham Mohammadi, MohammadReza Davari, and Leila Kosseim

Topic Models for Assessment of Mental Health Issues