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  • Conference proceedings
  • © 2019

PRICAI 2019: Trends in Artificial Intelligence

16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26–30, 2019, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11670)

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

Conference series link(s): PRICAI: Pacific Rim International Conference on Artificial Intelligence

Conference proceedings info: PRICAI 2019.

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Table of contents (58 papers)

  1. Front Matter

    Pages i-xxxii
  2. Learning

    1. Front Matter

      Pages 1-1
    2. Explaining Black-Box Models Using Interpretable Surrogates

      • Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh
      Pages 3-15
    3. Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling

      • Eunkyung Park, Raymond K. Wong, Victor W. Chu
      Pages 16-29
    4. Explaining Deep Learning Models with Constrained Adversarial Examples

      • Jonathan Moore, Nils Hammerla, Chris Watkins
      Pages 43-56
    5. Towards Understanding Classification and Identification

      • Mattia Fumagalli, Gábor Bella, Fausto Giunchiglia
      Pages 71-84
    6. What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests

      • Nhat Van-Quoc Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
      Pages 85-97
    7. Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning

      • Fan Wu, Shuigeng Zhou, Kang Wang, Yi Xu, Jihong Guan, Jun Huan
      Pages 98-112
    8. A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation

      • He Zhao, Hongyi Su, Yang Chen, Jiamou Liu, Hong Zheng, Bo Yan
      Pages 113-117
  3. Knowledge Handling

    1. Front Matter

      Pages 119-119
    2. Emotion Recognition from Music Enhanced by Domain Knowledge

      • Yangyang Shu, Guandong Xu
      Pages 121-134
    3. A Better Understanding of the Interaction Between Users and Items by Knowledge Graph Learning for Temporal Recommendation

      • Chunjing Xiao, Cong Xie, Shuyan Cao, Yuxiang Zhang, Wei Fan, Hongjun Heng
      Pages 135-147
    4. Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction

      • Xuemiao Zhang, Kejun Deng, Leilei Zhang, Zhouxing Tan, Junfei Liu
      Pages 148-161
    5. A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph

      • Guiming Zhu, Chenzhong Bin, Tianlong Gu, Liang Chang, Yanpeng Sun, Wei Chen et al.
      Pages 176-189
    6. Jointing Knowledge Graph and Neural Network for Top-N Recommendation

      • Wei Chen, Liang Chang, Chenzhong Bin, Tianlong Gu, Zhonghao Jia
      Pages 190-195
  4. Image Recognition and Manipulation

    1. Front Matter

      Pages 201-201

About this book

This three-volume set, LNAI 11670, LNAI 11671, and LNAI 11672 constitutes  the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019.

The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.



Editors and Affiliations

  • Department of Computing, Macquarie University, Sydney, Australia

    Abhaya C. Nayak

  • RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

    Alok Sharma

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access