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Advances in Artificial Intelligence

33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Cyril Goutte

    1. National Research Council Canada, Ottawa, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Xiaodan Zhu

    1. Queen’s University, Kingston, 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 12109)

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

Included in the following conference series:

Conference proceedings info: Canadian AI 2020.

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Table of contents (59 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks

    • Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba
    Pages 1-14

  3. Locating Influential Agents in Social Networks: Budget-Constrained Seed Set Selection

    • Rishav Raj Agarwal, Robin Cohen, Lukasz Golab, Alan Tsang
    Pages 15-28

  4. Investigating Relational Recurrent Neural Networks with Variable Length Memory Pointer

    • Mahtab Ahmed, Robert E. Mercer
    Pages 29-35

  5. Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity

    • Valery Anisimovskiy, Andrey Shcherbinin, Sergey Turko, Ilya Kurilin
    Pages 36-48

  6. The K-Closest Resemblance Classifier for Remote Sensing Data

    • Nabil Belacel, Cheng Duan, Diana Inkpen
    Pages 49-54

  7. Reinforcement Learning in a Physics-Inspired Semi-Markov Environment

    • Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
    Pages 55-66

  8. Deep Multi Agent Reinforcement Learning for Autonomous Driving

    • Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
    Pages 67-78

  9. Incremental Sequential Rule Mining with Streaming Input Traces

    • Andriy Drozdyuk, Scott Buffett, Michael W. Fleming
    Pages 79-91

  10. FASTT: Team Formation Using Fair Division

    • Jeff Bulmer, Matthew Fritter, Yong Gao, Bowen Hui
    Pages 92-104

  11. Empirical Confidence Models for Supervised Machine Learning

    • Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
    Pages 105-117

  12. Selection Driven Query Focused Abstractive Document Summarization

    • Chudamani Aryal, Yllias Chali
    Pages 118-124

  13. VecHGrad for Solving Accurately Tensor Decomposition

    • Jeremy Charlier, Vladimir Makarenkov
    Pages 125-137

  14. Sensitivity to Risk Profiles of Users When Developing AI Systems

    • Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung
    Pages 138-150

  15. Forecasting Seat Counts in the 2019 Canadian Federal Election Using Twitter

    • Shainen M. Davidson, Kenton White
    Pages 151-162

  16. Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings

    • Simon de Montigny, Philippe Broët
    Pages 163-169

  17. A Cost Skew Aware Predictive System for Chest Drain Management

    • Nicholas J. Denis, Danny French, Sebastien Gilbert, Nathalie Japkowicz
    Pages 170-176

  18. Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks

    • Meryll Dindin, Yuhei Umeda, Frederic Chazal
    Pages 177-188

  19. Big Players: Emotion in Twitter Communities Tweeting About Global Warming

    • Dennis J. Drown, Roger Villemaire, Serge Robert
    Pages 189-200

  20. Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes

    • Karim El Mokhtari, Mucahit Cevik, Ayşe Başar
    Pages 201-207
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  1. Advances in Artificial Intelligence

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About this book

This book constitutes the refereed proceedings of the 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, which was planned to take place in Ottawa, ON, Canada. Due to the COVID-19 pandemic, however, it was held virtually during May 13–15, 2020.
The 31 regular papers and 24 short papers presented together with 4 Graduate Student Symposium papers were carefully reviewed and selected from a total of 175 submissions. The selected papers cover a wide range of topics, including machine learning, pattern recognition, natural language processing, knowledge representation, cognitive aspects of AI, ethics of AI, and other important aspects of AI research.

Editors and Affiliations

  • National Research Council Canada, Ottawa, Canada

    Cyril Goutte

  • Queen’s University, Kingston, Canada

    Xiaodan Zhu

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