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Program

Program at a Glance

Tuesday 12 May: Graduate Student Symposium (on Zoom), go to the symposium's page here.

 

Wednesday 13 May

Thursday 14 May

Friday 15 May

11:00-11:30 EST

AI-2020 Welcome

YouTube live stream

Zoom Webinar

   

11:30-12:30 EST

AI-Keynote1

Pascal Poupart (UWaterloo)

YouTube live stream

Zoom Webinar



Session Chair: Ziad Kobti

CRV-Keynote1

Jon Howe (MIT)

YouTube live stream

CRV-Keynote2

Simon Lucey (CMU)

YouTube live stream

13:30-14:30 EST

AI-Tutorial

Pierre-Luc Bacon (U. de Montréal)

YouTube live stream

Zoom meeting

Colab Notebook

 

Session Chair: Gabriel Bernier-Colborne

AI-Keynote2

Giuseppe Carenini (UBC) (Zoom1)

YouTube live stream

Zoom Webinar



Session Chair: Leila Kosseim

AI-Keynote3

Csaba Szepesvari (U. Alberta) (Zoom1)

YouTube live stream

Zoom Webinar



Session Chair: Luiza Antonie

14:45-16:00 EST

CAIAC AGM

Zoom meeting

AI-award session
Best PhD/MSc Thesis · Best Papers · Distinguished Service Award

YouTube live stream

Zoom meeting

All Zoom events need passwords. Registered users will receive Zoom passwords with their Slack invitation link.

 

Session Schedule

For each paper, its id and its long or short form are shown. The sessions' content or order may be changed.

Sessions for 13 May 2020

Session ai — Ethics and AI

Watch this session's presentations here. »

9 long A Deeper Look at Bongard Problems Best student paper Xinyu Yun, Tanner Bohn and Charles Ling
37 long Sensitivity to risk profiles of users when developing AI systems Robin Cohen, Rishav Agarwal, Dhruv Kumar, Alexandre Parmentier and Tsz Him Leung
44 short RideSafe: Detecting Sexual Harassment in Rideshares Shikhar Sakhuja and Robin Cohen
94 short Ethical Requirements for AI Systems Renata Guizzardi, Glenda Amaral, Giancarlo Guizzardi and John Mylopoulos

Session anomaly — Anomaly Detection

Watch this session's presentations here. »

12 long Anomaly Detection and Prototype Selection Using Polyhedron Curvature Benyamin Ghojogh, Fakhri Karray and Mark Crowley
71 long Exploring Deep Anomaly Detection Methods Based on Capsule Net Xiaoyan Li, Tet Yeap, Iluju Kiringa, Xiaodan Zhu and Yifeng Li
103 short Challenges in vessel behavior and anomaly detection: from classical machine learning to deep learning Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli and Stan Matwin
111 long A Scheme for Generating A Dataset for Anomalous Activity Detection in Internet of Things Imtiaz Ullah and Qusay Mahmoud

Session app1 — Applications 1

Watch this session's presentations here. »

29 long An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction Jonathan Milot, Jaël Champagne Gareau and Éric Beaudry
42 long A Deep Neural Network for Counting the Number of Vessels using Sonar Signals Hamed H. Aghdam, Martin Bouchard, Robert Laganiere, Emil M. Petriu and Philip Wort
75 short Evaluation of A Failure Prediction Model for Large Scale Cloud Applications Mohammad Jassas and Qusay Mahmoud
106 short The K-Closest Resemblance Classifier for remote sensing data sets Nabil Belacel, Cheng Duan and Diana Inkpen

Session app2 — Applications 2

Watch this session's presentations here. »

87 short Machine Learning the Donor Journey Greg Lee, Ajith Kumar Veera Raghavan and Mark Hobbs
93 long Amalgamated Models for Detecting Duplicate Bug Reports Sukhjit Singh Sehra, Tamer Abdou, Ayse Basar and Sumeet Kaur Sehra
139 short Customer Segmentation And Churn Prediction In Online Retail Nilay Jha, Dhruv Parekh, Malek Mouhoub and Varun Makkar
159 long Predicting the Number of Reported Bugs in a Software Repository Hadi Jahanshahi, Mucahit Cevik and Ayse Basar

Session health — Health

Watch this session's presentations here. »

21 short A Cost Skew Aware Predictive System for Chest Drain Management Nicholas J. Denis, Danny French, Sebastien Gilbert and Nathalie Japkowicz
33 long Automatic Polyp Segmentation Using Convolutional Neural Networks Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider and Ralph Deters
38 long Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks Meryll Dindin, Frederic Chazal and Yuhei Umeda
56 short Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings Simon de Montigny and Philippe Broët
113 short Detection and Diagnosis of Breast Cancer Using a Bayesian Approach Nathina Krishnakumar and Tamer Abdou

Session mla — Machine Learning A

Watch this session's presentations here. »

25 long Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity Valery Anisimovskiy, Andrey Shcherbinin, Sergey Turko and Ilya Kurilin
68 long Adversarial Models for Deterministic Finite Automata Kaixuan Zhang, Qinglong Wang and Clyde Lee Giles
104 long Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Network Best paper Mahdieh Abbasi, Arezoo Rajabi, Christian Gagne and Rakesh Bobba

Session mlb — Machine Learning B

Watch this session's presentations here. »

58 long Improving classification using topic correlation and Expectation Propagation Xavier Sumba and Nizar Bouguila
63 long Empirical Confidence Models for Supervised Machine Learning Margarita Castro, Meinolf Sellmann, Zhaoyuan Yang and Nurali Virani
110 short CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities Gashin Ghazizadeh, Mirerfan Gheibi and Stan Matwin
136 short Partial Label Learning by Entropy Minimization Xuejun Han

Session mlc — Machine Learning C

Watch this session's presentations here. »

15 long Mixing ICI and CSI Models for More Efficient Probabilistic Inference Michael Roher and Yang Xiang
36 long VecHGrad for solving accurately tensor decomposition Jeremy Charlier and Vladimir Makarenkov
82 long FASTT: Team Formation using Fair Division Jeff Bulmer, Matthew Fritter, Yong Gao and Bowen Hui
141 short Low-dimensional dynamics of encoding and learning in recurrent neural networks Stefan Horoi, Victor Geadah, Guy Wolf and Guillaume Lajoie

Session nlp1 — Text Summarization and Categorization

Watch this session's presentations here. »

60 short Selection Driven Query Focused Abstractive Document Summarization Yllias Chali and Chudamani Aryal
73 short Lexical Data Augmentation for Text Classification in Deep Learning Rong Xiang, Emmanuele Chersoni, Qin Lu, Yunfei Long and Chu-Ren Huang
80 long Classification of Rare Recipes Requires Linguistic Features as Special Ingredients Best student paper runner-up Elham Mohammadi, Nada Naji, Louis Marceau, Marc Queudot, Eric Charton, Leila Kosseim and Marie-Jean Meurs
84 short Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models Md Tahmid Rahman Laskar, Enamul Hoque and Jimmy Huang

Session nlp2 — Topics in Natural Language Processing

Watch this session's presentations here. »

83 short Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer in Sentence Pair Modelling Tasks Mahtab Ahmed and Robert Mercer
105 short Seed Lexicons, Word Representations, Mapping Procedure, and Evaluation Lists: What Matters in Bilingual Lexicon Induction from Comparable Corpora? Martin Laville, Mérième Bouhandi, Emmanuel Morin and Philippe Langlais
108 long Investigating Citation Linkage as a Sentence Similarity Measurement Task using Deep Learning Sudipta Singha Roy, Robert E. Mercer and Felipe Urra
165 short From Explicit to Implicit Entity Linking: A Learn to Rank Framework Hawre Hosseini and Ebrahim Bagheri

Session nlp3 — Question Answering and NLP Applications

Watch this session's presentations here. »

76 long Attending knowledge facts with BERT-like models in Question-Answering : disappointing results and some explanations Guillaume Le Berre and Philippe Langlais
144 long Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter Shainen Davidson and Kenton White
148 short Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes Karim El Mokhtari, Mucahit Cevik and Ayse Basar
156 long Question-Worthy Sentence Selection for Question Generation Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh and Emad Gohari

Session rl — Reinforcement Learning

Watch this session's presentations here. »

61 long Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amilcar Soares, Bruno Brandoli Machado and Stan Matwin
65 long Reinforcement Learning in a Physics-Inspired Semi-Markov Environment Colin Bellinger, Rory Coles, Mark Crowley and Isaac Tamblyn
149 long Deep Multi Agent Reinforcement Learning for Autonomous Driving Sushrut Bhalla, Sriram Ganapathi Subramanian and Mark Crowley

Session seq — Sequences

Watch this session's presentations here. »

14 long Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation Mohammad Etemad, Zahra Etemad, Amilcar Soares, Vania Bogorny, Stan Matwin and Luis Torgo
85 short Similarity Matching of Temporal Event-Interval Sequences S. Mohammad Mirbagheri and Howard J. Hamilton
135 long Incremental Sequential Rule Mining with Streaming Input Traces Scott Buffett, Michael Fleming and Andriy Drozdyuk
154 short Augmented Out-of-sample Comparison Method for Time Series Forecasting Techniques Igor Ilic, Berk Gorgulu and Mucahit Cevik

Session soc — Social and Affective Computing

Watch this session's presentations here. »

17 long Locating influential agents in social networks: Budget-constrained seed set selection Rishav Agarwal, Robin Cohen, Lukasz Golab and Alan Tsang
34 short Personalized Multi-Faceted Trust Modeling in Social Networks Alexandre Parmentier and Robin Cohen
53 short Happiness Analysis with Fisher information of Dirichlet-multinomial mixture model Fatma Najar and Nizar Bouguila
54 long Big Players: Emotion in Twitter Communities Tweeting about Global Warming Dennis Drown, Roger Villemaire and Serge Robert

Program co-chairs

Cyril Goutte
National Research Council Canada

Xiaodan Zhu
Queen's University

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