Program
Program at a Glance
The following is a Google Calendar for the events of the conference.
The timezone is indicated by Google in the lower left corner of the calendar. Click on individual events for more details. Click on the tab 'Agenda' for a list of events.
You can add the whole calendar to your agenda by using the button in the lower right corner.
You can also consult the full AI-CRV joint conference schedule here.
Detailed Program
Session 1: Uncertainty (Tuesday 31 May, 11:10 EDT-12:15 EDT, Chair: Olivier Schulte)
- Yang Xiang and Wanrong Sun. Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach
- Zhenyu Liao, Charupriya Sharma, Dongshu Luo and Peter van Beek. An empirical study of scoring functions for learning Bayesian networks in model averaging
- Shamir Khandaker and Aminul Islam. Binary Classification with Minimum Observations
- Jonathan Pearce and David Meger. Adaptive Confidence Calibration
Session 2: Security (Tuesday 31 May, 14:30 EDT-15:30 EDT, Chair: Dhanya Jothimani)
- Mansour Alqarni and Akramul Azim. Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model
- Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag and Paula Branco. DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection
- Vahid Reza Khazaie, Nicky Bayat and Yalda Mohsenzadeh. Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition
- (Short) Lily Wadoux, Nelly Barbot, Jonathan Chevelu and Damien Lolive. Voice Cloning Applied to Voice Disorders: a Study of Extreme Phonetic Content in Speaker Embeddings
Session 3: Natural language Processing (Tuesday 31 May, 15:45 EDT-17:00 EDT, Chair: Gabriel Bernier-Colborne)
- Vincent Primpied, David Beauchemin and Richard Khoury. Quantifying French Document Complexity
- Mohammad Mehdi Afsar, Trafford Crump and Behrouz Far. Sample Efficiency in Deep Reinforcement Learning based Recommender Systems with Imitation Learning
- Frédéric Piedboeuf and Philippe Langlais. A working model for textual Membership Query Synthesis
- Duncan Clelland and Gabriel Murray. Computational Models of Linguistic Alignment for Clustering Group Participants and Predicting Task Outcomes
- (Short) Fanny Rancourt, Diego Maupomé and Marie-Jean Meurs. On the Influence of Annotation Quality in Suicidal Risk Assessment from Text
- (Short) Marc Queudot, Louis Marceau, Raouf Moncef Belbahar, Eric Charton and Marie-Jean Meurs. Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems
Session 4: Knowledge representation (Wednesday 1 June, 11:10 EDT-12:15 EDT, Chair: Renata Dividino)
- Ali Abbasi Tadi, Luis Rueda and Dima Alhadidi. NICASN: Non-negative Matrix Factorization and Independent Component Analysis for Clustering Social Networks
- Xing Tan, Jimmy Huang and Kai Huang. Complexity Analysis of Green Pickup-and-Delivery Problems on Ring Structures
- Zhenyu Liao, Junyao Duan and Peter van Beek. On identifying significant edges for structure learning in Bayesian networks
- (Short) Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray and Mark Crowley. Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
- (Short) Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li and Hsu Kiang Ooi. Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge
Session 5: Neural nets and deep learning (Wednesday 1 June, 14:30 EDT-15:30 EDT, Chair: Paula Branco)
- Basile Tousside, Janis Mohr and Jörg Frochte. Group and Exclusive Sparse Regularization-based Continual Learning of CNNs
- Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja and Parmis Naddaf. Deep Learning of Latent Edge Types from Relational Data
- M. Hamed Mozaffari, Yuchuan Li and Yoon Ko. Detecting Flashover in a Room Fire based on the Sequence of Thermal Infrared Images using Convolutional Neural Networks
- Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh and Ayse Basar. Software requirement specific entity extraction using transformer models
Session 6: AI applications (Wednesday 1 June, 15:45 EDT-16:45 EDT, Chair: Fred Popowich)
- Ci Lin, Tet Yeap and Iluju Kiringa. Stacked Bidirectional LSTM for Predicting Emission of Nitrous Oxide
- Dakota Soares, M. Ali Akber Dewan and Fuhua Lin. A Hoeffding Decision Tree Based Approach for Soil Classification
- David Beauchemin, Julien Laumonier, Yvan Le Ster and Marouane Yassine. “FIJO”: a French Insurance Soft Skill Detection Dataset
- Syed Rafayal, Mucahit Cevik and Derya Kici. An empirical study on probabilistic forecasting for predicting city-wide electricity consumption
Session 7: Data mining for maritime and biomedical data (Thursday 2 June, 11:10 EDT-12:15 EDT, Chair: Amilcar Soares)
Watch this session on Youtube.
- Dogan Altan, Mohammad Etemad, Dusica Marijan and Tetyana Kholodna. Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
- Md Mahbub Alam and Luis Torgo. A Clustering-based Approach for Predicting the Future Location of a Vessel
- Zakary Georgis-Yap, Milos R. Popovic and Shehroz S. Khan. Preictal-Interictal Classification for Seizure Prediction
- Hirad Daneshvar and Reza Samavi. Heterogeneous Patient Graph Embedding in Readmission Prediction
Session 8: Agent systems and robotics (Thursday 2 June, 14:15 EDT-15:30 EDT, Chair: Malek Mouhoub)
- Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte and Sandra Zilles. Using Change Detection to Adapt to Dynamically Changing Trustees
- Colin Bellinger, Andriy Drozdyuk, Mark Crowley and Isaac Tamblyn. Balancing Information with Observation Costs in Deep Reinforcement Learning
- Mahesh Ranaweera and Qusay Mahmoud. Bridging Reality Gap Between Virtual and Physical Robot through Domain Randomization and Induced Noise
- Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov. Cache-Efficient Memory Representation of Markov Decision Processes
- (Short) Anthony Bilodeau, Renaud Bernatchez, Albert Michaud-Gagnon, Flavie Lavoie-Cardinal and Audrey Durand. Contextual bandit optimization of super-resolution microscopy
Session 9: AI Ethics (Friday 3 June, 15:00 EDT-17:00 EDT, Chair: Benjamin Fung)
Watch this session on Youtube.
- Margaret H. McKay and Rene Richard. Efficiency of Algorithmic Policing Tools: a nod to C.N. Parkinson
- Margaret H. McKay. AI Transparency in a Real-World Context: What we can learn from past examples of algorithmic and statistical decision-making
- Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan and Xiaodan Zhu. Evaluating Explanation Correctness in Legal Decision Making
- Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amilcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi and Stan Matwin. A Modularized Framework for Explaining Black Box Classifiers for Text
- Shainen Davidson, Vaibhav Kesarwani and Kenton White. Forecasting and Understanding the 2021 Canadian Federal Election Using Twitter Conversations
- Ayesha Khader, Hamid Sajjadi and Faezeh Ensan. Contextual Query Expansion for Conducting Technology-Assisted Biomedical Reviews
