Advances in Artificial Intelligence

1. Front Matter

   Pages I-XIV

   PDF

2. Long Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy

      • Yang Xiang, Benjamin Baird

      Pages 3-16

   3. De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency

      • Yang Xiang, Dylan Loker

      Pages 17-30

   4. A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits

      • Negar Hassanpour, Russell Greiner

      Pages 31-44

   5. 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

   6. Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines

      • Yingcong Tan, Daria Terekhov

      Pages 60-71

   7. Advice-Based Exploration in Model-Based Reinforcement Learning

      • Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

      Pages 72-83

   8. Deep Super Learner: A Deep Ensemble for Classification Problems

      • Steven Young, Tamer Abdou, Ayse Bener

      Pages 84-95

   9. One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data

      • Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova

      Pages 96-107

   10. MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning

       • Hamman Samuel, Osmar Zaïane

       Pages 108-120

   11. Reranking Candidate Lists for Improved Lexical Induction

       • Laurent Jakubina, Philippe Langlais

       Pages 121-132

   12. Analysis of Social Media Posts for Early Detection of Mental Health Conditions

       • Antoine Briand, Hayda Almeida, Marie-Jean Meurs

       Pages 133-143

   13. 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

   14. Mobile App for Detection of Counterfeit Banknotes

       • Tamarafinide V. Dittimi, Ching Y. Suen

       Pages 156-168

   15. A Multiagent Framework for Understanding Addiction

       • Wasif Khan, Robin Cohen

       Pages 169-180

   16. 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

   17. An Incremental Machine Learning Algorithm for Nuclear Forensics

       • Chris Drummond

       Pages 194-207

3. Short Papers

   1. Front Matter

      Pages 209-209

      PDF

   2. MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models

      • Nuha Zamzami, Nizar Bouguila

      Pages 211-217

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.

• artificial intelligence
• classification
• computational linguistics
• data mining
• distributed artificial intelligence
• information retrieval
• knowledge representation and reasoning
• learning algorithms
• machine learning
• natural language processing
• neural networks
• planning and scheduling
• problem solving
• search methodologies
• semantics
• signal processing
• support vector machines
• algorithm analysis and problem complexity

• Ryerson University, Toronto, Canada

  Ebrahim Bagheri

• McGill University, Montréal, Canada

  Jackie C.K. Cheung

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