Program

At a glance

All talks are happening in ACE 005, with receptions and poster sessions happening nearby.

 

Tuesday May 8, 2018 8:00—9:00 Breakfast 9:00—10:30 Graduate Student Symposium: Welcome session & Guest speaker Robin Cohen 10:30—11:00 Coffee break 11:00—12:30 Graduate Student Symposium: Session 1 12:30—14:00 Lunch break 14:00—15:30 Graduate Student Symposium: Session 2 15:30—16:00 Coffee break   18:00—19:00 AI @ York 19:00—20:30 Reception (CIBC Lobby)

Wednesday May 9, 2018 8:00—8:30 Breakfast 8:30—9:00 Joint Welcome Session (ACE 102) 9:00—10:30 Session 1: Long Papers 10:30—11:00 Coffee break 11:00—12:30 Session 2: Long Papers 12:30—14:00 Lunch break 14:00—15:00 Session 3: Keynote speaker Jian Pei 15:00—15:30 Session 4: Short Papers 15:30—16:00 Coffee break 16:00—17:00 Session 5: Short Papers 17:00—18:00 NSERC presentation

Thursday May 10, 2018 8:00—9:00 Breakfast 9:00—10:30 Session 6: Long Papers 10:30—11:00 Coffee break 11:00—12:30 Session 7: Long Papers 12:30—14:00 Lunch break 14:00—15:00 Session 8: Keynote speaker Peter van Beek 15:00—15:30 Session 9: Short Papers 15:30—16:00 Coffee break 16:00—17:00 Session 10: Short Papers 17:00—18:30 Posters from the Short Talk Sessions 17:00—18:00 CAIAC AGM   18:30—22:00 Banquet (York University Underground)

Friday May 11, 2018 8:00—9:00 Breakfast 9:00—10:30 Session 11: Long Papers 10:30—11:00 Coffee break 11:00—12:00 Session 12: Keynote speaker Amanda Stent 12:00—12:30 Session 13: Long Paper 12:30—14:00 Lunch break 14:00—15:30 Session 14: Industry Track 1 15:30—16:00 Coffee break 16:00—17:30 Session 15: Industry Track 2 17:30—18:00 Closing Remarks

 

Detailed Program

Tuesday, May 8, 2018

9:00-10:30    Graduate Student Symposium

Welcome session

Guest speaker Dr. Robin Cohen, from the University of Waterloo, is the winner of the CAIAC Lifetime Achievement Award

10:30-11:00    Coffee break

11:00-12:30    Graduate Student Symposium: Session 1

Early Detection of Alzheimer’s Disease Using Deep Learning Laura McCracken

Learning with Prior Domain Knowledge and Insufficient Annotated Data Matthew Dirks

Software Defect Prediction from Code Quality Measurements via Machine Learning Ross MacDonald

Pedestrian Classification on a Low-Cost System Based on Deep Learning Zhaoyang Huang

12:30-14:00    Lunch break

14:00-15:30    Graduate Student Symposium: Session 2

Estimating Vineyard Grape Yield from Images Jabu Nasa

Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning Yingcong Tang

A Unified Evaluation Framework for Recommender Systems Alaa Slaity

15:30-16:00    Coffee break

18:00-19:00    AI @ York

19:00-20:30    Reception (CIBC Lobby)

Wednesday, May 9, 2018

8:30-09:00    Joint Welcome Session in ACE 102

9:00-10:30    Session 1: Planning, Scheduling, and Bayesian Networks

09:00-09:30 Synthesizing controllers: On the Correspondence Between LTL Synthesis and Non-Deterministic Planning Alberto Camacho, Jorge Baier, Christian Muise and Sheila McIlraith

09:30-10:00 Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines Yingcong Tan and Daria Terekhov

10:00-10:30 Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy Yang Xiang and Benjamin Baird

10:30-11:00    Coffee break

11:00-12:30    Session 2: Machine Learning

11:00-11:30 Deep Super Learner: A Deep Ensemble for Classification Problems Steven Young, Tamer Abdou and Ayse Bener

11:30-12:00 One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin and Marina Sokolova

12:00-12:30 MedFact: Towards Improving Veracity of Medical Information in Social Media using Applied Machine Learning Hamman Samuel and Osmar Zaïane

12:30-14:00    Lunch break

14:00-15:00    Session 3: Keynote Session with Dr. Jian Pei

14:00 - 15:00 Jian Pei

15:00-15:30    Session 4: Short Talks A

15:00-15:10 Towards a Comprehensive Evaluation of Recommenders: A Cognition-based Approach Alaa Slaity and Thomas Tran

15:10-15:20 Text-based detection of unauthorized users of social media accounts Milton King, Dima Alhadidi and Paul Cook

15:20-15:30 A Sentence-level Sparse Gamma Topic Model for Sentiment Analysis Tao Chen and Jeffrey Parsons

15:30-16:00    Coffee break

16:00-17:00    Session 5: Short Talks B

16:00-16:10 Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-based Regularized Linear Classification Model Jiaying You, Md. Mohaiminul Islam, Liam Grenier, Qin Kuang, Robert McLeod and Pingzhao Hu

16:10-16:20 Optimal Scheduling for Smart Charging of Electric Vehicles using Dynamic Programming Karol Lina López and Christian Gagné

16:20-16:30 Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings Sriram Ganapathi Subramanian and Mark Crowley

16:30-16:40 Topic detection and document similarity on financial news Saeede Sadat Asadi Kakhki, Can Kavaklioglu and Ayse Bener

16:40-16:50 N-gram Based Approach for Automatic Prediction of Essay Rubric Marks Magdalena Jankowska, Colin Conrad, Jabez Harris and Vlado Keselj

16:50-17:00 Matching Resumes to Job Descriptions with Stacked Models Peng Xu and Denilson Barbosa

17:00-18:00    NSERC presentation

Thursday, May 10, 2018

9:00-10:30    Session 6: Applications

09:00-09:30 Motor bearing fault diagnosis using deep convolutional neural networks with 2D analysis of vibration signal M M Manjurul Islam and Jong-Myon Kim

09:30-10:00 Mobile App for Detection of Counterfeit Banknotes Tamarafinide Dittimi and Ching Suen

10:00-10:30 An Incremental Machine Learning Algorithm for Nuclear Forensics Chris Drummond

10:30-11:00    Coffee break

11:00-12:30    Session 7: AI & Health

11:00-11:30 Analysis of Social Media Posts for Early Detection of Mental Health Conditions Antoine Briand, Hayda Almeida and Marie-Jean Meurs

11:30-12:00 A Multiagent Framework for Understanding Addiction Wasif Khan and Robin Cohen

12:00-12:30 Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour Chao Bian, Shehroz Khan and Alex Mihailidis

12:30-14:00    Lunch break

14:00-15:00    Session 8: Keynote Session with Dr. Peter van Beek

14:00 - 15:00 Peter van Beek

15:00-15:30    Session 9: Short Talks C

15:00-15:10 An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem Maayan Shvo, Shirin Sohrabi and Sheila A. McIlraith

15:10-15:20 Solving Constraint Satisfaction Problems using Firefly Algorithms Mahdi Bidar, Malek Mouhoub, Mohsen Bidar and Samira Sadaoui

15:20-15:30 Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints Aliakbar Gorji Daronkolaei, Amir Hajian and Tonya Custis

15:30-16:00    Coffee break

16:00-17:00    Session 10: Short Talks D

16:00-16:10 MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models Nuha Zamzami and Nizar Bouguila

16:10-16:20 Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding Behrouz Haji Soleimani and Stan Matwin

16:20-16:30 Accelerated Gradient and Block-wise Gradient Methods for Big Data Factorization M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang and Masoud Ataei

16:30-16:40 Learning Belief Revision Operators Aaron Hunter

16:40-16:50 Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal Mohammad Etemad, Amilcar Soares Junior and Stan Matwin

16:50-17:00 Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations Ashwin Panchapakesan, Rami Abielmona, Rafael Falcon and Emil Petriu

17:00-18:30    Posters from the Short Talk Sessions

Posters from the Short Talk Sessions A, B, C, and D

>> Detailed info on poster layout here

17:00-18:00    CAIAC AGM

1. Call to Order/Approval of Agenda
2. Secretary report (Approval of 2017 AGM Minutes)
3. Treasurer’s Report (Approval of 2017 Treasurer's Report)
4. President's report
5. AI-2018 Program co-chairs Report
6. Other business

18:30-22:00    Banquet (York University Underground)

Friday, May 11, 2018

9:00-10:30    Session 11: Bandits, Reinforcement Learning, and Bayesian Networks

09:00-09:30 A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits Negar Hassanpour and Russell Greiner

09:30-10:00 Advice-Based Exploration in Model-Based Reinforcement Learning Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano and Sheila A. McIlraith

10:00-10:30 best paper De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency Yang Xiang and Dylan Loker

10:30-11:00    Coffee break

11:00-12:00    Session 12: Keynote Session with Dr. Amanda Stent

11:00 - 12:00 Amanda Stent

12:00-12:30    Session 13: Natural Language Processing

12:00-12:30 best student paper Reranking Candidate Lists for Improved Lexical Induction Laurent Jakubina and Philippe Langlais

12:30-14:00    Lunch break

14:00-15:30    Session 14

14:00-14:30 Rule Mining and Prediction Using the Flek Machine – A New Machine Learning Engine Abbas Taher

14:30-15:00 Deep Learning For Generating Labeled Data From Massive Text Data Feng, Hajian

15:30-16:00    Coffee break

16:00-17:30    Session 15

16:00-16:30 Predicting Crime Using Spatial Features Fateha Khanam Bappee, Amílcar Soares Júnior and Stan Matwin

16:30-17:00 A Tool for Defining and Simulating Storage Strategies on the Smart Grid Daniel Russell and Aaron Hunter

17:00-17:30 Decision Assist For Self-Driving Cars Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh and Mark Crowley