Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings (Lecture Notes in Computer Science, 10832)

This book constitutes the refereed proceedings of the 31th Canadian Conference on Artificial Intelligence, Canadian AI 2018, held in Toronto, ON, Canada, in May 2018. The 16 regular papers and 18 short papers presented together with 7 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 72 submissions. The focus of the conference was on artificial intelligence research and advanced information and communications technology. Front Matter ....Pages I-XIV Front Matter ....Pages 1-1 Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy (Yang Xiang, Benjamin Baird)....Pages 3-16 De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency (Yang Xiang, Dylan Loker)....Pages 17-30 A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits (Negar Hassanpour, Russell Greiner)....Pages 31-44 Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning (Alberto Camacho, Jorge A. Baier, Christian Muise, Sheila A. McIlraith)....Pages 45-59 Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines (Yingcong Tan, Daria Terekhov)....Pages 60-71 Advice-Based Exploration in Model-Based Reinforcement Learning (Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith)....Pages 72-83 Deep Super Learner: A Deep Ensemble for Classification Problems (Steven Young, Tamer Abdou, Ayse Bener)....Pages 84-95 One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data (Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova)....Pages 96-107 MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning (Hamman Samuel, Osmar Zaïane)....Pages 108-120 Reranking Candidate Lists for Improved Lexical Induction (Laurent Jakubina, Philippe Langlais)....Pages 121-132 Analysis of Social Media Posts for Early Detection of Mental Health Conditions (Antoine Briand, Hayda Almeida, Marie-Jean Meurs)....Pages 133-143 Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal (M. M. Manjurul Islam, Jong-Myon Kim)....Pages 144-155 Mobile App for Detection of Counterfeit Banknotes (Tamarafinide V. Dittimi, Ching Y. Suen)....Pages 156-168 A Multiagent Framework for Understanding Addiction (Wasif Khan, Robin Cohen)....Pages 169-180 Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour (Chao Bian, Shehroz S. Khan, Alex Mihailidis)....Pages 181-193 An Incremental Machine Learning Algorithm for Nuclear Forensics (Chris Drummond)....Pages 194-207 Front Matter ....Pages 209-209 MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models (Nuha Zamzami, Nizar Bouguila)....Pages 211-217 Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints (Aliakbar Gorji Daronkolaei, Amir Hajian, Tonya Custis)....Pages 218-223 Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding (Behrouz Haji Soleimani, Stan Matwin)....Pages 224-230 Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization (M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei)....Pages 231-238 Learning Belief Revision Operators (Aaron Hunter)....Pages 239-245 Solving Constraint Satisfaction Problems Using Firefly Algorithms (Mahdi Bidar, Malek Mouhoub, Samira Sadaoui, Mohsen Bidar)....Pages 246-252 An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem (Maayan Shvo, Shirin Sohrabi, Sheila A. McIlraith)....Pages 253-258 Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal (Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin)....Pages 259-264 Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations (Ashwin Panchapakesan, Rami Abielmona, Rafael Falcon, Emil Petriu)....Pages 265-271 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 D. McLeod, Pingzhao Hu)....Pages 272-278 Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming (Karol Lina López, Christian Gagné)....Pages 279-284 Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings (Sriram Ganapathi Subramanian, Mark Crowley)....Pages 285-291 Text-Based Detection of Unauthorized Users of Social Media Accounts (Milton King, Dima Alhadidi, Paul Cook)....Pages 292-297 N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks (Magdalena Jankowska, Colin Conrad, Jabez Harris, Vlado Kešelj)....Pages 298-303 Matching Résumés to Job Descriptions with Stacked Models (Peng Xu, Denilson Barbosa)....Pages 304-309 Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach (Alaa Alslaity, Thomas Tran)....Pages 310-315 A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis (Tao Chen, Jeffrey Parsons)....Pages 316-321 Topic Detection and Document Similarity on Financial News (Saeede Sadat Asadi Kakhki, Can Kavaklioglu, Ayse Bener)....Pages 322-328 Front Matter ....Pages 329-329 Software Defect Prediction from Code Quality Measurements via Machine Learning (Ross MacDonald)....Pages 331-334 Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning (Yingcong Tan)....Pages 335-338 Estimating Vineyard Grape Yield from Images (Tanya Monga)....Pages 339-343 Real-Time Deep Learning Pedestrians Classification on a Micro-Controller (Zhaoyang Huang)....Pages 344-350 A Unified Evaluation Framework for Recommenders (Alaa Alslaity)....Pages 351-354 Early Detection of Alzheimer’s Disease Using Deep Learning (Laura McCrackin)....Pages 355-359 Learning with Prior Domain Knowledge and Insufficient Annotated Data (Matthew Dirks)....Pages 360-363 Front Matter ....Pages 365-365 Predicting Crime Using Spatial Features (Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin)....Pages 367-373 A Tool for Defining and Simulating Storage Strategies on the Smart Grid (Dan Russell, Aaron Hunter)....Pages 374-380 Decision Assist for Self-driving Cars (Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley)....Pages 381-387 Rule Mining and Prediction Using the Flek Machine – A New Machine Learning Engine (Abbas Taher)....Pages 388-393 Back Matter ....Pages 395-396