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Advances in Artificial Intelligence

32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28–31, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Marie-Jean Meurs

    1. University of Quebec in Montreal, Montreal, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Frank Rudzicz

    1. University of Toronto, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11489)

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

Included in the following conference series:

Conference proceedings info: Canadian AI 2019.

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About this book

This book constitutes the refereed proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, held in Kingston, ON, Canada, in May 2019.
The 27 regular papers and 34 short papers presented together with 8 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 132 submissions. The focus of the conference was on artificial intelligence research and advanced information and communications technology.

 

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Table of contents (69 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Regular Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Categorizing Emails Using Machine Learning with Textual Features

      • Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov
      Pages 3-15

    3. Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction

      • Fabrizio Gotti, Philippe Langlais
      Pages 16-28

    4. Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions

      • David Skillicorn, Nasser Alsadhan, Richard Billingsley, Mary-Anne Williams
      Pages 29-41

    5. Exploiting Symmetry of Independence in d-Separation

      • Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira, Anders L. Madsen
      Pages 42-54

    6. Personality Extraction Through LinkedIn

      • Frédéric Piedboeuf, Philippe Langlais, Ludovic Bourg
      Pages 55-67

    7. Solving Influence Diagrams with Simple Propagation

      • Anders L. Madsen, Cory J. Butz, Jhonatan Oliveira, André E. dos Santos
      Pages 68-79

    8. Uncertain Evidence for Probabilistic Relational Models

      • Marcel Gehrke, Tanya Braun, Ralf Möller
      Pages 80-93

    9. Enhanced Collaborative Filtering Through User-Item Subgroups, Particle Swarm Optimization and Fuzzy C-Means

      • Ayangleima Laishram, Vineet Padmanabhan
      Pages 94-106

    10. TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks

      • Md. Akmal Haidar, Mehdi Rezagholizadeh
      Pages 107-118

    11. SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation

      • Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh
      Pages 119-131

    12. Automatically Learning a Human-Resource Ontology from Professional Social-Network Data

      • David Alfonso-Hermelo, Philippe Langlais, Ludovic Bourg
      Pages 132-145

    13. Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling

      • Mahtab Ahmed, Robert E. Mercer
      Pages 146-159

    14. Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning

      • Benyamin Ghojogh, Mark Crowley
      Pages 160-172

    15. Hybrid Temporal Situation Calculus

      • Vitaliy Batusov, Giuseppe De Giacomo, Mikhail Soutchanski
      Pages 173-185

    16. 3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks

      • Rongtian Ye, Fangyu Liu, Liqiang Zhang
      Pages 186-199

    17. Identifying Misaligned Spans in Parallel Corpora Using Change Point Detection

      • Andrea Pagotto, Patrick Littell, Yunli Wang, Cyril Goutte
      Pages 200-211

    18. In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning

      • Daniel L. Silver, Tanya Monga
      Pages 212-224

    19. Options in Multi-task Reinforcement Learning - Transfer via Reflection

      • Nicholas Denis, Maia Fraser
      Pages 225-237
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Other volumes

  1. Advances in Artificial Intelligence

Editors and Affiliations

  • University of Quebec in Montreal, Montreal, Canada

    Marie-Jean Meurs

  • University of Toronto, Toronto, Canada

    Frank Rudzicz

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