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Neural Information Processing

29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VII

  • Conference proceedings
  • © 2023

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Editors:
  1. Mohammad Tanveer

    1. Indian Institute of Technology Indore, Indore, India

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  2. Sonali Agarwal

    1. Indian Institute of Information Technology - Allahabad, Prayagraj, India

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  3. Seiichi Ozawa

    1. Kobe University, Kobe, Japan

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  4. Asif Ekbal

    1. Indian Institute of Technology Patna, Patna, India

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  5. Adam Jatowt

    1. University of Innsbruck, Innsbruck, Austria

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1794)

Included in the following conference series:

Conference proceedings info: ICONIP 2022.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xxxv
    Download chapter PDF

  2. Applications II

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting

      • Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa, Licheng Xu
      Pages 3-12

    3. Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes

      • Adam Pardyl, Dawid Rymarczyk, Zbisław Tabor, Bartosz Zieliński
      Pages 13-24

    4. Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection

      • Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa
      Pages 25-37

    5. Automatically Generating Storylines from Microblogging Platforms

      • Xujian Zhao, Junli Wang, Peiquan Jin, Chongwei Wang, Chunming Yang, Bo Li et al.
      Pages 38-50

    6. Improving Document Image Understanding with Reinforcement Finetuning

      • Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le
      Pages 51-63

    7. MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction

      • Shuang Yang, Daren Zha, Cong Xue
      Pages 64-76

    8. Vision Transformer-Based Federated Learning for COVID-19 Detection Using Chest X-Ray

      • Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda
      Pages 77-88

    9. HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System

      • Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le
      Pages 89-99

    10. Multi-level Network Based on Text Attention and Pose-Guided for Person Re-ID

      • Xi Wang, Canlong Zhang, Zhixin Li, Zhiwen Wang
      Pages 100-112

    11. Sketch Image Style Transfer Based on Sketch Density Controlling

      • Siyuan Yu, Hao Wang, Anna Zhu
      Pages 113-125

    12. VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images

      • Nikhil Ojha, Indrajeet Kumar Sinha, Krishna Pratap Singh
      Pages 126-137

    13. DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation

      • Wanqiang Cai, Bin Wang
      Pages 138-150

    14. Efficient-Nets and Their Fuzzy Ensemble: An Approach for Skin Cancer Classification

      • Dibyendu Das, Nikhilanand Arya, Sriparna Saha
      Pages 151-162

    15. A Framework for Software Defect Prediction Using Optimal Hyper-Parameters of Deep Neural Network

      • Rakesh Kumar, Amrita Chaturvedi
      Pages 163-174

    16. Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition

      • Medha, Jitender Kumar Chhabra, Dinesh Kumar
      Pages 175-186

    17. A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis

      • Susmita Palmal, Nikhilanand Arya, Sriparna Saha, Somanath Tripathy
      Pages 187-198

    18. Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model

      • Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
      Pages 199-211

    19. Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning

      • Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci
      Pages 212-223
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

  6. Neural Information Processing

  7. Neural Information Processing

Keywords

About this book

The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. 


The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.


The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Editors and Affiliations

  • Indian Institute of Technology Indore, Indore, India

    Mohammad Tanveer

  • Indian Institute of Information Technology - Allahabad, Prayagraj, India

    Sonali Agarwal

  • Kobe University, Kobe, Japan

    Seiichi Ozawa

  • Indian Institute of Technology Patna, Patna, India

    Asif Ekbal

  • University of Innsbruck, Innsbruck, Austria

    Adam Jatowt

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