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AI 2017: Advances in Artificial Intelligence

30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Wei Peng

    1. La Trobe University, Melbourne, Australia

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  2. Damminda Alahakoon

    1. La Trobe Business School, La Trobe University, Bundoora, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Xiaodong Li

    1. RMIT University, Melbourne, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10400)

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

Included in the following conference series:

Conference proceedings info: AI 2017.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XIII
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Context-Aware Recommender Systems Based on Item-Grain Context Clustering

      • Yilong Shi, Hong Lin, Yuqiang Li
      Pages 3-13

    3. Competitive Reinforcement Learning in Atari Games

      • Mark McKenzie, Peter Loxley, William Billingsley, Sebastien Wong
      Pages 14-26

    4. Density-Based Multiscale Analysis for Clustering in Strong Noise Settings

      • Tiantian Zhang, Bo Yuan
      Pages 27-38

    5. Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching

      • Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang
      Pages 39-51

    6. Multiple Kernel Learning with One-Level Optimization of Radius and Margin

      • Shinichi Yamada, Kourosh Neshatian
      Pages 52-63

    7. A Deterministic Actor-Critic Approach to Stochastic Reinforcements

      • Yemi Okesanjo, Victor Kofia
      Pages 64-75

    8. SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks

      • Lingwei Chen, Yanfang Ye
      Pages 76-89

  3. Optimization

    1. Front Matter

      Pages 91-91
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    2. Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts

      • Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray
      Pages 93-105

    3. Use of a Non-nested Formulation to Improve Search for Bilevel Optimization

      • Md Monjurul Islam, Hemant Kumar Singh, Tapabrata Ray
      Pages 106-118

    4. Let’s Consider Two Objectives When Estimating Hand Postures

      • Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, Alan Wee-Chung Liew
      Pages 119-130

    5. Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization

      • Wanru Gao, Tobias Friedrich, Timo Kötzing, Frank Neumann
      Pages 131-143

    6. An Integer Linear Programming Model for Binary Knapsack Problem with Dependent Item Values

      • Davoud Mougouei, David M. W. Powers, Asghar Moeini
      Pages 144-154

  4. Swarm Intelligence and Evolutionary Computing

    1. Front Matter

      Pages 155-155
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    2. A ‘Breadcrumbs’ Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device

      • Sarah Jean Bowley, Kathryn Merrick
      Pages 157-168

    3. Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing

      • Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang
      Pages 169-181

    4. Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data

      • Binh Tran, Bing Xue, Mengjie Zhang
      Pages 182-194

    5. Comprehensive Quality-Aware Automated Semantic Web Service Composition

      • Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann
      Pages 195-207
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Other volumes

  1. AI 2017: Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, AI 2017, held in Melbourne, VIC, Australia, in August 2017.

The 29 full papers were carefully reviewed and selected from 58 submissions. This volume covers a wide spectrum of research streams in artificial intelligence ranging from machine learning, optimization to big data science and their practical applications. 

Editors and Affiliations

  • La Trobe University, Melbourne, Australia

    Wei Peng

  • La Trobe Business School, La Trobe University, Bundoora, Australia

    Damminda Alahakoon

  • RMIT University, Melbourne, Australia

    Xiaodong Li

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