National Gallery of Canada (ceiling) by nivekneerg35

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

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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

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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

Program at a Glance

Session Schedule

Sessions for 13 May 2020

Session ai — Ethics and AI

Session anomaly — Anomaly Detection

Session app1 — Applications 1

Session app2 — Applications 2

Session health — Health

Session mla — Machine Learning A

Session mlb — Machine Learning B

Session mlc — Machine Learning C

Session nlp1 — Text Summarization and Categorization

Session nlp2 — Topics in Natural Language Processing

Session nlp3 — Question Answering and NLP Applications

Session rl — Reinforcement Learning

Session seq — Sequences

Session soc — Social and Affective Computing

Program co-chairs

Contact

Our thanks to:

Our host society

Organizations who provided travel grants

Our gold sponsor

Our silver sponsors

Our bronze sponsors