Program

Tentative program

This program is subject to change but will be finalized soon.

Tuesday May 8, 2018 8:00—9:00 Breakfast 9:00—10:30 Graduate Student Symposium: Session 1 10:30—11:00 Coffee break 11:00—12:30 Graduate Student Symposium: Session 2 12:30—14:00 Lunch break 14:00—15:30 GSS Panel   18:00—19:30 Reception (CIBC Lobby) 19:30—20:30 AI @ York 20:30—21:30 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: Session 1

10:30-11:00    Coffee break

11:00-12:30    Graduate Student Symposium: Session 2

12:30-14:00    Lunch break

14:00-15:30    GSS Panel

18:00-19:30    Reception (CIBC Lobby)

19:30-20:30    AI @ York

20:30-21:30    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

17:00-18:00    CAIAC AGM

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 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 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