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Advances in Artificial Intelligence

27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Marina Sokolova

    1. Faculty of Medicine and School of Electrical Engineering and Computer Science, Department of Epidemiology & Community Medicine, University of Ottawa, Ottawa, Canada

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  2. Peter Beek

    1. Cheriton School of Computer Science, University of Waterloo, Waterloo, 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 8436)

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

Included in the following conference series:

Conference proceedings info: Canadian AI 2014.

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About this book

This book constitutes the refereed proceedings of the 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, held in Montréal, QC, Canada, in May 2014. The 22 regular papers and 18 short papers presented together with 3 invited talks were carefully reviewed and selected from 94 submissions. The papers cover a variety of topics within AI, such as: agent systems; AI applications; automated reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive models; constraint satisfaction; data mining; E-commerce; evolutionary computation; games; information retrieval; knowledge representation; machine learning; multi-media processing; natural language processing; neural nets; planning; privacy-preserving data mining; robotics; search; smart graphics; uncertainty; user modeling; web applications.

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Table of contents (43 papers)

  1. Front Matter

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  2. Long Papers

    1. A Novel Particle Swarm-Based Approach for 3D Motif Matching and Protein Structure Classification

      • Hazem Radwan Ahmed, Janice Glasgow
      Pages 1-12

    2. Rhetorical Figuration as a Metric in Text Summarization

      • Mohammed Alliheedi, Chrysanne Di Marco
      Pages 13-22

    3. Empirical Evaluation of Intelligent Mobile User Interfaces in Healthcare

      • Reem Alnanih, Olga Ormandjieva, Thiruvengadam Radhakrishnan
      Pages 23-34

    4. Learning to Measure Influence in a Scientific Social Network

      • Shane Bergsma, Regan L. Mandryk, Gordon McCalla
      Pages 35-46

    5. Filtering Personal Queries from Mixed-Use Query Logs

      • Ary Fagundes Bressane Neto, Philippe Desaulniers, Pablo Ariel Duboue, Alexis Smirnov
      Pages 47-58

    6. Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks

      • Joseph Lin Chu, Adam Krzyżak
      Pages 59-70

    7. Inconsistency versus Accuracy of Heuristics

      • Hang Dinh
      Pages 71-82

    8. VMSP: Efficient Vertical Mining of Maximal Sequential Patterns

      • Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng
      Pages 83-94

    9. A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm

      • Ouadie Gharroudi, Haytham Elghazel, Alex Aussem
      Pages 95-106

    10. Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes

      • Negar Ghourchian, Doina Precup
      Pages 107-118

    11. Use of Ontology and Cluster Ensembles for Geospatial Clustering Analysis

      • Wei Gu, Zhilin Zhang, Baijie Wang, Xin Wang
      Pages 119-130

    12. Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis

      • Michael Guerzhoy, Aaron Hertzmann
      Pages 131-142

    13. Task Oriented Privacy Preserving Data Publishing Using Feature Selection

      • Yasser Jafer, Stan Matwin, Marina Sokolova
      Pages 143-154

    14. A Consensus Approach for Annotation Projection in an Advanced Dialog Context

      • Simon Julien, Philippe Langlais, Réal Tremblay
      Pages 155-166

    15. Partial Satisfaction Planning under Time Uncertainty with Control on When Objectives Can Be Aborted

      • Sylvain Labranche, Éric Beaudry
      Pages 167-178

    16. Active Learning Strategies for Semi-Supervised DBSCAN

      • Jundong Li, Jörg Sander, Ricardo Campello, Arthur Zimek
      Pages 179-190

    17. Learning How Productive and Unproductive Meetings Differ

      • Gabriel Murray
      Pages 191-202

    18. Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms

      • Ahmad Pesaranghader, Ali Pesaranghader, Azadeh Rezaei, Danoosh Davoodi
      Pages 203-214

    19. Text Representation Using Multi-level Latent Dirichlet Allocation

      • Amir H. Razavi, Diana Inkpen
      Pages 215-226
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Other volumes

  1. Advances in Artificial Intelligence

Editors and Affiliations

  • Faculty of Medicine and School of Electrical Engineering and Computer Science, Department of Epidemiology & Community Medicine, University of Ottawa, Ottawa, Canada

    Marina Sokolova

  • Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada

    Peter Beek

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