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Artificial Neural Networks and Machine Learning – ICANN 2023

32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IX

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Lazaros Iliadis

    1. Democritus University of Thrace, Xanthi, Greece

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  2. Antonios Papaleonidas

    1. Democritus University of Thrace, Xanthi, Greece

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  3. Plamen Angelov

    1. Lancaster University, Lancaster, UK

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  4. Chrisina Jayne

    1. Teesside University, Middlesbrough, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14262)

Included in the following conference series:

Conference proceedings info: ICANN 2023.

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Table of contents (41 papers)

  1. Front Matter

    Pages i-xxxiv
    Download chapter PDF

  2. MEA-TransUNet: A Multiple External Attention Network for Multi-Organ Segmentation

    • Xianpeng Cao, Junfeng Yao, Qingqi Hong, Rongzhou Zhou
    Pages 1-12

  3. Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification

    • Sa Ning, Rundong Qi, Yong Jiang
    Pages 13-24

  4. Multi-grained Aspect Fusion for Review Response Generation

    • Yun Yuan, Chen Gong, Dexin Kong, Nan Yu, Guohong Fu
    Pages 25-37

  5. Multiple Object Tracking Based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation

    • Kelei Sun, Qiufen Wen, Huaping Zhou, Kaitao Xiong, Jie Zhang, Qi Zhao et al.
    Pages 38-51

  6. Multi-relation Identification for Few-Shot Document-Level Relation Extraction

    • Dazhuang Wang, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng
    Pages 52-64

  7. Multi-task Learning for Mongolian Morphological Analysis

    • Na Liu, Ren Qing-Dao-Er-Ji, Xiangdong Su, Yatu Ji, Aodengbala, Guiping Liu
    Pages 65-77

  8. Multi-task Pre-training for Lhasa-Tibetan Speech Recognition

    • Yigang Liu, Yue Zhao, Xiaona Xu, Liang Xu, Xubei Zhang
    Pages 78-90

  9. Mutual Information Dropout: Mutual Information Can Be All You Need

    • Zichen Song, Shan Ma
    Pages 91-101

  10. Non-Outlier Pseudo-Labeling for Short Text Clustering

    • Fangquan Zhou, Shenglin Gui
    Pages 102-113

  11. Optimal Node Embedding Dimension Selection Using Overall Entropy

    • Xinrun Xu, Zhiming Ding, Yurong Wu, Jin Yan, Shan Jiang, Qinglong Cui
    Pages 114-127

  12. PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction

    • Zetai Jiang, Fang Kong
    Pages 128-139

  13. PCB Component Rotation Detection Based on Polarity Identifier Attention

    • Haoming Ma, Hongjie Zhang
    Pages 140-151

  14. PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation

    • Yuxi Feng, Linlin Wang, Zhu Cao, Liang He
    Pages 152-165

  15. PlantDet: A Benchmark for Plant Detection in the Three-Rivers-Source Region

    • Huanhuan Li, Yu-an Zhang, Xuechao Zou, Zhiyong Li, Jiangcai Zhaba, Guomei Li et al.
    Pages 166-177

  16. PO-DARTS: Post-optimizing the Architectures Searched by Differentiable Architecture Search Algorithms

    • Debei Hao, Songwei Pei
    Pages 178-190

  17. Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models

    • Daniel Stamate, Riya Haran, Karolina Rutkowska, Pradyumna Davuloori, Evelyne Mercure, Caspar Addyman et al.
    Pages 191-199

  18. Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients

    • Jan Kalina, Petra Vidnerová
    Pages 200-212

  19. PSML: Prototype-Based OSSL Framework for Multi-information Mining

    • YiYong Xiao, GuiMei Ying, YongCan Fu
    Pages 213-224

  20. Pure Physics-Informed Echo State Network of ODE Solution Replicator

    • Dong Keun Oh
    Pages 225-236
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Keywords

About this book

The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.

The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.



Editors and Affiliations

  • Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis, Antonios Papaleonidas

  • Lancaster University, Lancaster, UK

    Plamen Angelov

  • Teesside University, Middlesbrough, UK

    Chrisina Jayne

Bibliographic Information

  • Book Title: Artificial Neural Networks and Machine Learning – ICANN 2023

  • Book Subtitle: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IX

  • Editors: Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-44201-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-44200-1Published: 23 September 2023

  • eBook ISBN: 978-3-031-44201-8Published: 22 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXIV, 523

  • Number of Illustrations: 28 b/w illustrations, 180 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Computing Milieux, Computer Systems Organization and Communication Networks

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