Neural Information Processing

1. Front Matter

   Pages i-xxix

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2. Data Mining

   1. Front Matter

      Pages 1-1

      PDF

   2. A Hybrid Representation of Word Images for Keyword Spotting

      • Hongxi Wei, Jing Zhang, Kexin Liu

      Pages 3-10

   3. A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway

      • Kai Xue, Yiyu Ding, Zhirong Yang, Natasa Nord, Mael Roger Albert Barillec, Hans Martin Mathisen et al.

      Pages 11-22

   4. An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction

      • Rasmita Panigrahi, Lov Kumar, Sanjay Kumar Kuanar

      Pages 23-31

   5. Prediction Model of Breast Cancer Based on mRMR Feature Selection

      • Junwen Di, Zhiguo Shi

      Pages 32-40

   6. Clustering Ensemble Selection with Analytic Hierarchy Process

      • Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou

      Pages 41-49

   7. Deep Learning for In-Vehicle Intrusion Detection System

      • Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel

      Pages 50-58

   8. Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrieval

      • Zhijian Wu, Jun Li, Jianhua Xu

      Pages 59-68

   9. Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategy

      • Shuang Liu, Peng Chen

      Pages 69-77

   10. Knowledge Graph Embedding Based on Relevance and Inner Sequence of Relations

       • Jia Peng, Neng Gao, Min Li, Jun Yuan

       Pages 78-86

   11. MrPC: Causal Structure Learning in Distributed Systems

       • Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh

       Pages 87-94

   12. Online Multi-objective Subspace Clustering for Streaming Data

       • Dipanjyoti Paul, Sriparna Saha, Jimson Mathew

       Pages 95-103

   13. Predicting Information Diffusion Cascades Using Graph Attention Networks

       • Meng Wang, Kan Li

       Pages 104-112

   14. PrivRec: User-Centric Differentially Private Collaborative Filtering Using LSH and KD

       • Yifei Zhang, Neng Gao, Junsha Chen, Chenyang Tu, Jiong Wang

       Pages 113-121

   15. Simultaneous Customer Segmentation and Behavior Discovery

       • Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu

       Pages 122-130

   16. Structural Text Steganography Using Unseen Tag Attribute Values

       • Feno H. Rabevohitra, Yantao Li

       Pages 131-139

   17. Trajectory Anomaly Detection Based on the Mean Distance Deviation

       • Xiaoyuan Hu, Qing Xu, Yuejun Guo

       Pages 140-147

   18. Tweet Relevance Based on the Theory of Possibility

       • Amina Ben Meriem, Lobna Hlaoua, Lotfi Ben Romdhane

       Pages 148-156

3. Healthcare Analytics-Improving Healthcare Outcomes Using Big Data Analytics

   1. Front Matter

      Pages 157-157

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The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.*

For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis.

* The conference was held virtually due to the COVID-19 pandemic.

• Computer Science
• Informatics
• Conference Proceedings
• Research
• Applications

• Department of AI, Ping An Life, Shenzhen, China

  Haiqin Yang

• Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

  Kitsuchart Pasupa

• City University of Hong Kong, Kowloon, Hong Kong

  Andrew Chi-Sing Leung

• Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

  James T. Kwok

• School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand

  Jonathan H. Chan

• The Chinese University of Hong Kong, New Territories, Hong Kong

  Irwin King

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