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Program

At a glance

Many of the conference's events will be held at Queen's University's Sterling Hall.


Detailed Program

Tuesday, 28 May
9:00-10:30 - Graduate Student Symposium - Session 1
Stirling Hall Room A
Discrete-Event Systems for Modelling Decision-Making in Human Motor Control
Richard Moulton
Principal Sample Analysis for Data Ranking
Benyamin Ghojogh
Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Data Representation
Mark Thomas
10:30-11:00 - Coffee Break
Chemoff Hall Lobby
11:00-12:30 - Graduate Student Symposium - Session 2
Stirling Hall Room A
Generating Accurate Virtual Examples For Lifelong Machine Learning
Sazia Mahfuz
Artificial Intelligence-Based Latency Estimation For Distributed Systems
Shady A. Mohammed
Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network
Bonaventure Molokwu
Safe Policy Learning with Constrained Return Variance
Arushi Jain
Face Morphing with Machine Learning
Samia Sifat
12:30-14:00 - Lunch
Leonard Hall Cafeteria
14:00-15:00 - Graduate Student Symposium - Session 3 and Panel
Stirling Hall Room A
A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks
Kalyani Selvarajah
Panel: Open discussion with chair, panelist and students: Grad school, academia, and the GSS
 
15:00-15:30 - Graduate Student Symposium - Best Master’s Thesis Presentation
Stirling Hall Room A
15:30-16:00 - Coffee Break
Chemoff Hall Lobby
16:00-18:00 - Tutorial
Deep Learning for Natural Language Inference
Dr. Xiaodan Zhu, Queen's University
Reasoning is a central topic in artificial intelligence. Informal reasoning in natural language is deeply entangled with semantics and is among the hardest problems to solve. This tutorial discusses cutting-edge research on natural language inference (NLI), including recent advance on dataset development, the state-of-the-art deep learning models, and the applications of NLI.
19:00-21:00 - Welcome Reception
University Club
Wednesday, 29 May
8:30-9:00 - AI-GI-CRV Joint Welcome
Stirling Hall Auditorium
9:00-10:30 - Session 1
Stirling Hall Room A
Categorizing Emails Using Machine Learning with Textual Features
Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, and Kamil Malikov
Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions
David Skillicorn, Nasser Alsadhan, Richard Billingsley, and Mary-Anne Williams
best student paper Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling
Mahtab Ahmed and Robert E. Mercer
Inter and Intra Document Attention for Depression Risk Assessment
Diego Maupomé, Marc Queudot, and Marie-Jean Meurs
Detecting Depression from Voice
Mashrura Tasnim and Eleni Stroulia
10:30-11:00 - Coffee Break
Chemoff Hall Lobby
11:00-11:30 - Session 2
Stirling Hall Room A
A Shallow Learning - Reduced Data Approach for Image Classification
Kaleb E. Smith and Phillip Williams
Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures
Mohammed Alliheedi and Robert E. Mercer
Name2Vec: Personal Names Embeddings
Jeremy Foxcroft, Adrian d’Alessandro, and Luiza Antonie
11:30-12:30 - Keynote Speaker Chad Gaffield
Stirling Hall Room A
12:30-14:00 - Lunch
Leonard Hall Cafeteria
14:00-15:00 - Keynote Speaker Sven Dickinson
Stirling Hall Room A
15:00-16:00 - Session 3
Stirling Hall Room A
best paper Personality Extraction Through LinkedIn
Frédéric Piedboeuf, Philippe Langlais, and Ludovic Bourg
Automatically Learning a Human-Resource Ontology from Professional Social-Network Data
David Alfonso-Hermelo, Philippe Langlais, and Ludovic Bourg
The Invisible Power of Fairness. How Machine Learning Shapes Democracy
Elena Beretta, Antonio Santangelo, Bruno Lepri, Antonio Vetrò, and Juan Carlos De Martin
16:00-18:30 - Industrial Track
Biosciences Complex Atrium
16:00-18:30 - Poster Session
Biosciences Complex Atrium
Lexicographic Preference Trees with Hard Constraints
Sultan Ahmed and Malek Mouhoub
Lifted Temporal Maximum Expected Utility
Marcel Gehrke, Tanya Braun, and Ralf Möller
Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections
Charles Huyghues-Despointes, Leila Khouas, Julien Velcin, and Sabine Loudcher
Self-training for Cell Segmentation and Counting
J. Luo, S. Oore, P. Hollensen, A. Fine, and T. Trappenberg
An Experiment for Background Subtraction in a Dynamic Scene
Ting-Yuan Lin, Jeng-Sheng Yeh, Fu-Che Wu, Yung-Yu Chuang, and Andrew Dellinger
Machine Translation on a Parallel Code-Switched Corpus
M. A. Menacer, D. Langlois, D. Jouvet, D. Fohr, O. Mella, and K. Smaïli
Name2Vec: Personal Names Embeddings
Jeremy Foxcroft, Adrian d’Alessandro, and Luiza Antonie
A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery
Mohammad Ghodratigohar, Kevin Cheung, Natalie Baddour, and Hussein Al Osman
Compression Improves Image Classification Accuracy
Nnamdi Ozah and Antonina Kolokolova
Towards Causal Analysis of Protocol Violations
Shakil M. Khan and Mikhail Soutchanski
Enhanced Collaborative Filtering through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means
Ayangleima Laishram and Vineet Padmanabhan
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference
Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang and Yufei Feng
 
Thursday, 30 May
8:30-10:30 - Session 4
Stirling Hall Room A
Exploiting Symmetry of Independence in d-Separation
Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira, and Anders L. Madsen
Solving Influence Diagrams with Simple Propagation
Anders L. Madsen, Cory J. Butz, Jhonatan Oliveira, and André E. dos Santos
Uncertain Evidence for Probabilistic Relational Models
Marcel Gehrke, Tanya Braun, and Ralf Möller
Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction
Fabrizio Gotti and Philippe Langlais
Learning Career Progression by Mining Social Media Profiles
Zakaria Soliman, Philippe Langlais, and Ludovic Bourg
Unsupervised Sentiment Analysis of Objective Texts
Qufei Chen and Marina Sokolova
Efficient Sequence Labeling with Actor-Critic Training
Saeed Najafi, Colin Cherry, and Grzegorz Kondrak
Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes
Jean-Thomas Baillargeon, Luc Lamontagne, and Étienne Marceau
10:30-11:00 - Coffee Break
Chemoff Hall Lobby
11:00-12:30 - Session 5
Stirling Hall Room A
TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks
Md. Akmal Haidar and Mehdi Rezagholizadeh
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation
Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, and Mehdi Rezagholizadeh
Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection
Andrea Pagotto, Patrick Littell, Yunli Wang, and Cyril Goutte
Optimized Random Walk with Restart for Recommendation Systems
Seyyed Mohammadreza Rahimi, Rodrigo Augusto de Oliveira e Silva, Behrouz Far, and Xin Wang
Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks
Nicolas Garneau, Jean-Samuel Leboeuf, and Luc Lamontagne
12:30-14:00 - Lunch
Leonard Hall Cafeteria
14:00-15:30 - Session 6
Stirling Hall Room A
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
Benyamin Ghojogh and Mark Crowley
Hybrid Temporal Situation Calculus
Vitaliy Batusov, Giuseppe De Giacomo, and Mikhail Soutchanski
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
Rongtian Ye, Fangyu Liu, and Liqiang Zhang
In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning
Daniel L. Silver and Tanya Monga
Toward a Conceptual Framework for Understanding AI Action and Legal Reaction
Raheena Dahya and Alexis Morris
15:30-16:00 - Coffee Break
Chemoff Hall Lobby
16:00-17:00 - Keynote Speaker Maite Taboada
Stirling Hall Room A
17:00-18:00 - CAIAC AGM
Stirling Hall Room A
18:00 - Banquet
Portsmouth Olympic Harbor
 
Friday, 31 May
9:00-10:30 - Session 7
Stirling Hall Room A
Options in Multi-task Reinforcement Learning - Transfer via Reflection
Nicholas Denis and Maia Fraser
Memory-Efficient Backpropagation for Recurrent Neural Networks
Issa Ayoub and Hussein Al Osman
A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns
Yosef Ashibani and Qusay H. Mahmoud
Sparseout: Controlling Sparsity in Deep Networks
Najeeb Khan and Ian Stavness
Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples
Yoshimasa Kubo and Thomas Trappenberg
10:30-11:00 - Coffee Break
Chemoff Hall Lobby
11:00-11:30 - Session 8
Stirling Hall Room A
Crowd Prediction Under Uncertainty
Luis Da Costa and Jean-François Rajotte
Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks
Matthew T. Mann and Howard J. Hamilton
11:30-12:30 - Keynote Speaker Nancy Ide
Stirling Hall Room A
12:30-14:00 - Lunch
Leonard Hall Cafeteria
14:00-15:30 - Session 9
Stirling Hall Room A
Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data
Rayhan Shikder, Pourang Irani, and Pingzhao Hu
Applications of Feature Selection Techniques on Large Biomedical Datasets
Nicolas Ewen, Tamer Abdou, and Ayse Bener
Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum
Hyeju Jang, Young Ji Lee, Giuseppe Carenini, Raymond Ng, Grace Campbell, and Kendall Ho
Fully End-To-End Super-Resolved Bone Age Estimation
Mohammed Gasmallah, Farhana Zulkernine, Francois Rivest, Parvin Mousavi, and Alireza Sedghi
Predicting Commentaries on a Financial Report with Recurrent Neural Networks
Karim El Mokhtari, John Maidens, and Ayse Bener
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment
Jeremy Charlier, Radu State, and Jean Hilger
Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data
Farzana Anowar and Samira Sadaoui
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes
Okwudili M. Ezeme, Michael Lescisin, Qusay H. Mahmoud, and Akramul Azim
15:30-16:00 - Coffee Break
Chemoff Hall Lobby
16:00-17:00 - CAIAC Closing Remarks
Stirling Hall Room A
17:00-17:30 - AI-GI-CRV Closing Remarks
Stirling Hall Auditorium

 



List of accepted papers for the conference.

Full papers

Categorizing Emails Using Machine Learning with Textual Features Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, and Kamil Malikov

Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction Fabrizio Gotti and Philippe Langlais

Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions David Skillicorn, Nasser Alsadhan, Richard Billingsley, and Mary-Anne Williams

Exploiting Symmetry of Independence in d-Separation Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira, and Anders L. Madsen

best paperPersonality Extraction Through LinkedIn Frédéric Piedboeuf, Philippe Langlais, and Ludovic Bourg

Solving Influence Diagrams with Simple Propagation Anders L. Madsen, Cory J. Butz, Jhonatan Oliveira, and André E. dos Santos

Uncertain Evidence for Probabilistic Relational Models Marcel Gehrke, Tanya Braun, and Ralf Möller

Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means Ayangleima Laishram and Vineet Padmanabhan

TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks Md. Akmal Haidar and Mehdi Rezagholizadeh

SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, and Mehdi Rezagholizadeh

Automatically Learning a Human-Resource Ontology from Professional Social-Network Data David Alfonso-Hermelo, Philippe Langlais, and Ludovic Bourg

best student paperEfficient Transformer-Based Sentence Encoding for Sentence Pair Modelling Mahtab Ahmed and Robert E. Mercer

Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning Benyamin Ghojogh and Mark Crowley

Hybrid Temporal Situation Calculus Vitaliy Batusov, Giuseppe De Giacomo, and Mikhail Soutchanski

3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks Rongtian Ye, Fangyu Liu, and Liqiang Zhang

Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection Andrea Pagotto, Patrick Littell, Yunli Wang, and Cyril Goutte

In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning Daniel L. Silver and Tanya Monga

Options in Multi-task Reinforcement Learning - Transfer via Reflection Nicholas Denis and Maia Fraser

The Invisible Power of Fairness. How Machine Learning Shapes Democracy Elena Beretta, Antonio Santangelo, Bruno Lepri, Antonio Vetrò, and Juan Carlos De Martin

Maize Insects Classification Through Endoscopic Video Analysis André R. de Geus, Marcos A. Batista, Marcos N. Rabelo, Celia Z. Barcelos, and Sérgio F. da Silva

Collaborative Clustering Approach Based on Dempster-Shafer Theory for Bag-of-Visual-Words Codebook Generation Sabrine Hafdhellaoui, Yaakoub Boualleg, and Mohamed Farah

Memory-Efficient Backpropagation for Recurrent Neural Networks Issa Ayoub and Hussein Al Osman

A Behavior-Based Proactive User Authentication Model Utilizing Mobile Application Usage Patterns Yosef Ashibani and Qusay H. Mahmoud

Sparseout: Controlling Sparsity in Deep Networks Najeeb Khan and Ian Stavness

Crowd Prediction Under Uncertainty Luis Da Costa and Jean-François Rajotte

Optimized Random Walk with Restart for Recommendation Systems Seyyed Mohammadreza Rahimi, Rodrigo Augusto de Oliveira e Silva, Behrouz Far, and Xin Wang

Inter and Intra Document Attention for Depression Risk Assessment Diego Maupomé, Marc Queudot, and Marie-Jean Meurs

Short papers

A Shallow Learning - Reduced Data Approach for Image Classification Kaleb E. Smith and Phillip Williams

Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data Farzana Anowar and Samira Sadaoui

Towards Causal Analysis of Protocol Violations Shakil M. Khan and Mikhail Soutchanski

Lexicographic Preference Trees with Hard Constraints Sultan Ahmed and Malek Mouhoub

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images Abder-Rahman Ali, Jingpeng Li, and Thomas Trappenberg

Lifted Temporal Maximum Expected Utility Marcel Gehrke, Tanya Braun, and Ralf Möller

Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks Matthew T. Mann and Howard J. Hamilton

Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections Charles Huyghues-Despointes, Leila Khouas, Julien Velcin, and Sabine Loudcher

Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples Yoshimasa Kubo and Thomas Trappenberg

Self-training for Cell Segmentation and Counting J. Luo, S. Oore, P. Hollensen, A. Fine, and T. Trappenberg

Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, and Yufei Feng

An Experiment for Background Subtraction in a Dynamic Scene Ting-Yuan Lin, Jeng-Sheng Yeh, Fu-Che Wu, Yung-Yu Chuang, and Andrew Dellinger

Machine Translation on a Parallel Code-Switched Corpus M. A. Menacer, D. Langlois, D. Jouvet, D. Fohr, O. Mella, and K. Smaïli

Weighting Words Using Bi-Normal Separation for Text Classification Tasks with Multiple Classes Jean-Thomas Baillargeon, Luc Lamontagne, and Étienne Marceau

A Deep Learning Approach for Diagnosing Long QT Syndrome Without Measuring QT Interval Habib Hajimolahoseini, Damian Redfearn, and Andrew Krahn

Learning Career Progression by Mining Social Media Profiles Zakaria Soliman, Philippe Langlais, and Ludovic Bourg

Toward a Conceptual Framework for Understanding AI Action and Legal Reaction Raheena Dahya and Alexis Morris

Unsupervised Sentiment Analysis of Objective Texts Qufei Chen and Marina Sokolova

Efficient Sequence Labeling with Actor-Critic Training Saeed Najafi, Colin Cherry, and Grzegorz Kondrak

Detecting Depression from Voice Mashrura Tasnim and Eleni Stroulia

A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery Mohammad Ghodratigohar, Kevin Cheung, Natalie Baddour, and Hussein Al Osman

A Generic Evolutionary Algorithm for Efficient Multi-Robot Task Allocations Muhammad Usman Arif

Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum Hyeju Jang, Young Ji Lee, Giuseppe Carenini, Raymond Ng, Grace Campbell, and Kendall Ho

Fully End-To-End Super-Resolved Bone Age Estimation Mohammed Gasmallah, Farhana Zulkernine, Francois Rivest, Parvin Mousavi, and Alireza Sedghi

Name2Vec: Personal Names Embeddings Jeremy Foxcroft, Adrian d’Alessandro, and Luiza Antonie

Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression DataRayhan Shikder, Pourang Irani, and Pingzhao Hu

Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures Mohammed Alliheedi and Robert E. Mercer

Compression Improves Image Classification Accuracy Nnamdi Ozah and Antonina Kolokolova

Predicting Commentaries on a Financial Report with Recurrent Neural Networks Karim El Mokhtari, John Maidens, and Ayse Bener

Applications of Feature Selection Techniques on Large Biomedical Datasets Nicolas Ewen, Tamer Abdou, and Ayse Bener

DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes Okwudili M. Ezeme, Michael Lescisin, Qusay H. Mahmoud, and Akramul Azim

Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment Jeremy Charlier, Radu State, and Jean Hilger

Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks Nicolas Garneau, Jean-Samuel Leboeuf, and Luc Lamontagne

Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study Francesco Usai and Thomas Trappenberg

Graduate student symposium papers

Principal Sample Analysis for Data Ranking Benyamin Ghojogh

Discrete-Event Systems for Modelling Decision-Making in Human Motor Control Richard Hugh Moulton

Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network Bonaventure C. Molokwu

A Framework for Determining Effective Team Members Using Evolutionary Computation in Dynamic Social Networks Kalyani Selvarajah

Generating Accurate Virtual Examples for Lifelong Machine Learning Sazia Mahfuz

Towards a Novel Data Representation for Classifying Acoustic Signals Mark Thomas

Safe Policy Learning with Constrained Return Variance Arushi Jain

Artificial Intelligence-Based Latency Estimation for Distributed Systems Shady A. Mohammed

Industry track papers

Exploring Optimal Trading Rules in a High-Frequency Portfolio Cédric Poutré and Manuel Morales

Auto-Adaptive Learning for Life Science Knowledge Mickaël Camus

Credit Card Delinquency, Who to Contact? A Machine Learning Based Approach Nizar Ghoula, Josée Frappier, and Annie Lemieux

Extending Recent Advancements in Reinforcement Learning to High Frequency Trading in the Canadian Equities Market Brittany Rockwell, Laurent Charlin, and Manuel Morales

Program co-chairs

Marie-Jean Meurs
UQAM

Frank Rudzicz
University of Toronto

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