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Program

At a Glance

Events shown in time zone: Eastern Time - Toronto
For PDT time, please consult the calendar here

Zoom Room 1: https://sfu.zoom.us/j/64644702556
Zoom Room 2: https://sfu.zoom.us/j/62553498329
Zoom webinar (for all keynotes): https://zoom.us/j/91650665548

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Detailed Program

The proceedings are available in open access on PubPub: https://caiac.pubpub.org/ai2021.

Session 1: Machine Learning (Wednesday 26 May, 11:00 EDT-12:30 EDT)

114 Eye-focused Detection of Bell's Palsy in Videos Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal and Ankush Mittal
104 Using ProtoPNet for Interpretable Alzheimer's Disease Classification Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam and Ayse Basar
8     Incremental Learning with Self-labeling of Incoming High-dimensional Data Farzana Anowar and Samira Sadaoui
16   Semi-Supervised Time Point Clustering for Multivariate Time Series Benjamin Ertl, Jörg Meyer, Matthias Schneider and Achim Streit
52   On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief Aaron Hunter
73   Estimation of uncertainty bounds on disparate treatment when using proxies for the protected attribute best student paper awardPhilippe Racicot, Richard Khoury and Christophe Père

Session 2: Natural Language Processing (Wednesday 26 May, 14:00 EDT-15:00 EDT)

Session 2a (14:00-14:30)

28   Direct Answer Threshold Optimization in Dialogue Systems Marco Peixeiro, Eric Charton and Nada Naji
63 An Experimental Comparison of the Geometry of Models Trained on Natural Language and Synthetic Data Vincent Sippola and Robert E. Mercer        
64 On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada and Ahmed Khoumsi
81   Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael Greenspan and Xiaodan Zhu

Session 2b (14:30-15:00)

85   Transfer Learning and Language Model Adaptation for Low Resource Speech Recognition Tasha Baller, Kaelen Bennett and Howard J. Hamilton
87   Enhancing Pretrained Models with Domain Knowledge Yufei Feng, Michael Greenspan and Xiaodan Zhu
91   Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction Rohan Bhambhoria, Samuel Dahan and Xiaodan Zhu
97   Semantic Similarity Matching Using Contextualized Representations Farhood Farahnak, Elham Mohammadi, Mohammadreza Davari and Leila Kosseim

Session 3: Data Mining/ Social Networks/ Applications (Wednesday 26 May, 15:00 EDT-16:30 EDT)

98   Product Matching Lessons and Recommendations from a Real World Application Jeremy Foxcroft, Luiza Antonie, Tianle Chen, Kanchana Padmanabhan and Brian Keng
4     Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations Eloi Brassard-Gourdeau and Richard Khoury
55   Neural Network Architectures and Feature Extraction for Lumber Prediction Vincent Martineau, Jonathan Gaudreault, Michael Morin, Philippe Thomas and Hind Bril El Haouzi
118 A BERT-based transfer learning approach to text classification on software requirements specifications Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh and Ayse Bener
39   Leveraging semantic for community mining in multilayer networks Mohamed Benabdelkrim, Celine Robardet and Jean Savinien
61   A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions Hao Wang, Raymond Yao, Likun Hou, Jie Zhao and Xing Zhao

Session 4: Artificial Intelligence/ Machine Learning (Thursday 27 May, 12:00-12:55 EDT)

Session 4a (12:00-12:30)

15   Descriptive Image Captioning with Salient Retrieval Priors Zhan Shi, Hui Liu and Xiaodan Zhu
31   Improved Trust Establishment Performance with Transaction-based Preprocessing Julian Templeton and Thomas Tran
40   HEAL: Heterogeneous Ensemble and Active Learning Framework Anubhav Chhabra, Tirumala Sree Akhil Nandyala and Paula Branco
54   Hierarchical Reinforcement Learning for Vehicle Routing Problems with Time Windows Yunli Wang, Sun Sun and Wei Li

Session 4b (12:30-12:55)

77   PyFed: extending  PySyft with N-IID Federated Learning Benchmark Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse and Ismail Berrada
79   Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes and Yalda Mohsenzadeh
101 The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions Daniel Silver and Tao Andy Yang

Session 5: Machine Learning/ Deep Learning (Thursday 27 May, 14:30-16:00 EDT)

6     Image Enhancement using Entwined Auto-Encoder CNN with Nested Convolution Kernels Andrey Shcherbinin, Ekaterina Safronova, Valery Anisimovskiy and Ilya Kurilin
33   Understanding Capacity Saturation in Incremental Learning Shenyang Huang, Vincent Francois-Lavet and Guillaume Rabusseau
34   Encoding Dependency Information inside Tree Transformer Mahtab Ahmed and Robert Mercer
56   EASTER: Simplifying Text Recognition using only 1D Convolutions Kartik Chaudhary and Raghav Bali
62   Detection and Identification of Obfuscated Obscene Language with Character Level Transformers Tobias Renwick and Denilson Barbosa
66   Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Ramashish Gaurav, Bryan Tripp and Apurva Narayan

Session 6: Natural Language Processing (Thursday 27 May, 16:00-17:30 EDT)

72   A modularized framework for explaining hierarchical attention networks on text classifiers Mahtab Sarvmaili, Amilcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi and Stan Matwin
86   Sentiment Analysis with Cognitive Attention Supervision Erik McGuire and Noriko Tomuro
90   Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion Sri Harsha Dumpala and Sageev Oore
96   Class-wise Calibration: A Case Study on COVID-19 Hate Speech best paper award Stephen Obadinma, Hongyu Guo and Xiaodan Zhu
108 Leveraging Textual Similarity to Predict Beck Depression Inventory Answers Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt and Marie-Jean Meurs
109 Position Encoding Schemes for Linear Aggregation of Word Sequences Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong and Marie-Jean Meurs

Session 7 Planning / Reinforcement Learning (Friday 28 May, 11:00-12:30 EDT)

10   Tracking agitation in people living with dementia in a care environment Shehroz Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojević, Bing Ye, Kristine Newman, Andrea Iaboni and Alex Mihailidis
49   ANOVA-SRC-BPSO: a hybrid filter and swarm optimization-based method for gene selection and cancer classification using gene expression profiles Salim Sazzed
32   Planning for Connected Agents in a Partially Known Environment Arthur Queffelec, Ocan Sankur and Francois Schwarzentruber
45   Active Measure Reinforcement Learning for Observation Cost Minimization Colin Bellinger, Rory Coles, Mark Crowley and Isaac Tamblyn
78   General Deep Reinforcement Learning in NES Games David LeBlanc and Greg Lee
94   AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan Jepson and Sheila A. McIlraith

Session 8 Health/Applications (Friday 28 May, 15:00-16:00 EDT)

Session 8a (15:00-15:30)

42   Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis Zohreh Alamatian, Majid Vafaei Jahan and Amin Milani Fard
43   A Simple and Interpretable Predictive Model for Healthcare Subhadip Maji, Raghav Bali, Sree Harsha Ankem and Kishore V Ayyadevara
58   Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays Shehroz Khan, Faraz Khoshbakhtian and Ahmed Ashraf
93   Topic Modeling in Embedding Spaces for Depression Assessment Maxime D. Armstrong, Diego Maupomé and Marie-Jean Meurs

Session 8b (15:30-16:00)

107 Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu and Sargur Srihari
110 Topic Models for Assessment of Mental Health Issues Maxime D. Armstrong, Diego Maupomé and Marie-Jean Meurs
111 Named Entity Recognition on Software Requirements Specification Documents Garima Malik, Yusef Khedr, Mucahit Cevik, Devang Parikh and Ayse Bener
119 A Computational Method for Histological Bone Research using Convolutional Neural Networks Daria Yasafova and Chris Emezue

Program co-chairs

Luiza Antonie
University of Guelph

Pooya Moradian Zadeh
University of Windsor

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