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Advances in Artificial Intelligence

28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Halifax, Nova Scotia, Canada, June 2-5, 2015, Proceedings

  • Denilson Barbosa
  • Evangelos Milios
Conference proceedings AI 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9091)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9091)

Table of contents

  1. Front Matter
    Pages I-XXI
    PDF

  2. Agents, Uncertainty & Games

    1. Front Matter
      Pages 1-1
      PDF
    2. Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation
      Anders L. Madsen, Cory J. Butz
      Pages 3-15
    3. Darwinian Networks
      Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos
      Pages 16-29
    4. Improvements to the Linear Optimization Models of Patrol Scheduling for Mobile Targets
      Jean-Francois Landry, Jean-Pierre Dussault, Éric Beaudry
      Pages 30-41
    5. Trajectory Generation with Player Modeling
      Jason M. Bindewald, Gilbert L. Peterson, Michael E. Miller
      Pages 42-49
    6. Policies, Conversations, and Conversation Composition
      Robert Kremer, Roberto Flores
      Pages 50-58
    7. Task Allocation in Robotic Swarms: Explicit Communication Based Approaches
      Aryo Jamshidpey, Mohsen Afsharchi
      Pages 59-67

  3. AI Applications

    1. Front Matter
      Pages 69-69
      PDF
    2. Budget-Driven Big Data Classification
      Yiming Qian, Hao Yuan, Minglun Gong
      Pages 71-83
    3. Inferring User Profiles in Online Social Networks Using a Partial Social Graph
      Raïssa Yapan Dougnon, Philippe Fournier-Viger, Roger Nkambou
      Pages 84-99
    4. An Improved Machine Learning Approach for Selecting a Polyhedral Model Transformation
      Ray Ruvinskiy, Peter van Beek
      Pages 100-113
    5. Dynamic Budget-Constrained Pricing in the Cloud
      Eric Friedman, Miklós Z. Rácz, Scott Shenker
      Pages 114-121
    6. Visual Predictions of Traffic Conditions
      Jason Rhinelander, Mathew Kallada, Pawan Lingras
      Pages 122-129
    7. Privacy-aware Wrappers
      Yasser Jafer, Stan Matwin, Marina Sokolova
      Pages 130-138

  4. NLP, Text and Social Media Mining

    1. Front Matter
      Pages 139-139
      PDF
    2. Analyzing Productivity Shifts in Meetings
      Gabriel Murray
      Pages 141-154
    3. Temporal Feature Selection for Noisy Speech Recognition
      Ludovic Trottier, Brahim Chaib-draa, Philippe Giguère
      Pages 155-166
    4. Simulating Naming Latency Effects
      Yannick Marchand, Robert Damper
      Pages 167-180
    5. On Assessing the Sentiment of General Tweets
      Sifei Han, Ramakanth Kavuluru
      Pages 181-195
    6. Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams
      Khantil Patel, Orland Hoeber, Howard J. Hamilton
      Pages 196-203
    7. Sentiment and Factual Transitions in Online Medical Forums
      Victoria Bobicev, Marina Sokolova, Michael Oakes
      Pages 204-211
    8. Abstractive Meeting Summarization as a Markov Decision Process
      Gabriel Murray
      Pages 212-219

  5. Data Mining & Machine Learning

    1. Front Matter
      Pages 221-221
      PDF
    2. Rule Extraction from Random Forest: the RF+HC Methods
      Morteza Mashayekhi, Robin Gras
      Pages 223-237
    3. A Density-Penalized Distance Measure for Clustering
      Behrouz Haji Soleimani, Stan Matwin, Erico N. De Souza
      Pages 238-249
    4. Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture
      Ti Wang, Daniel L. Silver
      Pages 250-263
    5. Incremental Cluster Updating Using Gaussian Mixture Model
      Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
      Pages 264-272
    6. Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks
      Arvid Frydenlund, Frank Rudzicz
      Pages 273-280
    7. Active Learning with Clustering and Unsupervised Feature Learning
      Saul Berardo, Eloi Favero, Nelson Neto
      Pages 281-290
    8. STOCS: An Efficient Self-Tuning Multiclass Classification Approach
      Yiming Qian, Minglun Gong, Li Cheng
      Pages 291-306
    9. Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem
      Daniel L. Silver, Geoffrey Mason, Lubna Eljabu
      Pages 307-322

  6. GRADUATE STUDENT SYMPOSIUM

    1. Front Matter
      Pages 323-323
      PDF
    2. Resolving Elections with Partial Preferences Using Imputation
      John A. Doucette
      Pages 325-329
    3. Novel Game Playing Strategies Using Adaptive Data Structures
      Spencer Polk
      Pages 330-333
    4. Auto-FAQ-Gen: Automatic Frequently Asked Questions Generation
      Fatemeh Raazaghi
      Pages 334-337
    5. Representational Transfer in Deep Belief Networks
      Xiang Jiang
      Pages 338-342
    6. Unsupervised Multi-modal Learning
      Mohammed Shameer Iqbal
      Pages 343-346
    7. On the Usage of Discourse Relations Across Texts with Different Readability Levels
      Elnaz Davoodi
      Pages 347-351
    8. A Framework for Discovering Bursty Events and Their Relationships from Online News Articles
      Pooria Madani
      Pages 352-355
    9. Behavioural Game Theory: Predictive Models and Mechanisms
      James R. Wright
      Pages 356-359
  7. Back Matter
    Pages 361-361
    PDF

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, held in Halifax, Nova Scotia, Canada, in June 2015.The 15 regular papers and 12 short papers presented together with 8 papers from the Graduate Student Symposium were carefully reviewed and selected from 81 submissions.  The papers are organized in topical sections such as agents, uncertainty and games; AI applications; NLP, text and social media mining; data mining and machine learning.

Keywords

AI applications Agents Big data Cloud computing Data mining Games Graph and network mining Graph mining Human-computer interaction Information extraction Machine learning Natural language processing Network mining Neural nets Privacy Privacy preserving data mining Social media mining Support vector machines Text mining Uncertainty

Editors and affiliations

  • Denilson Barbosa
    • 1
  • Evangelos Milios
    • 2
  1. 1.University of AlbertaEdmontonCanada
  2. 2.Dalhousie UniversityHalifaxCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18356-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-18355-8
  • Online ISBN 978-3-319-18356-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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