Skip to main content
SpringerLink
Log in
Book cover

Advances in Artificial Intelligence

31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Ebrahim Bagheri

    1. Ryerson University, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jackie C.K. Cheung

    1. McGill University, Montréal, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10832)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: Canadian AI 2018.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (45 papers)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Long Papers

    1. Front Matter

      Pages 1-1
      Download chapter 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
      Download chapter PDF

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

      • Nuha Zamzami, Nizar Bouguila
      Pages 211-217
Back to top

Other volumes

  1. Advances in Artificial Intelligence

Keywords

About this book

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.

Editors and Affiliations

  • Ryerson University, Toronto, Canada

    Ebrahim Bagheri

  • McGill University, Montréal, Canada

    Jackie C.K. Cheung

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation