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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9–10, 2024, Revised Selected Papers

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Andrea Torsello

    1. Ca' Foscari University of Venice, Venice, Italy

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  2. Luca Rossi

    1. The Hong Kong Polytechnic University, Kowloon, Hong Kong

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  3. Luca Cosmo

    1. Ca' Foscari University of Venice, Venice, Italy

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  4. Giorgia Minello

    1. Ca' Foscari University of Venice, Venice, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15444)

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About this book

This book constitutes the proceedings of the Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2024, which took place in Venice, Italy, during September 9-11, 2024.

The 19 full papers presented in this volume were carefully reviewed and selected from 27 submissions. The proceedings focus on pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.

Keywords

Table of contents (19 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. A Differentiable Approximation of the Graph Edit Distance

    • Julia Wallnig, Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger, David B. Blumenthal
    Pages 1-10

  3. Learning Graph Similarity by Counting Holes in Simplicial Complexes

    • Kalvin Dobler, Kaspar Riesen
    Pages 11-20

  4. Community-Hop: Enhancing Node Classification Through Community Preference

    • Ahmed Begga, Waqar Ali, Gabriel Niculescu, Francisco Escolano, Thilo Stadelmann, Marcello Pelillo
    Pages 21-30

  5. Spatio-Temporal Graph Neural Networks for Water Temperature Modeling

    • Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
    Pages 31-40

  6. Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection

    • Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento
    Pages 41-51

  7. LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia

    • Fabian Hüni, Jose Garcia-Tirado, Kaspar Riesen
    Pages 52-61

  8. Evaluation Metrics in Saliency Maps Applied to Graph Regression

    • Natàlia Segura-Alabart, Alberto Fernández, Alexander Kensert, Deirdre Cabooter, Francesc Serratosa
    Pages 62-71

  9. LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding

    • Giorgia Minello, Lingfeng Zhang, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo
    Pages 72-81

  10. Mixture of Variational Graph Autoencoders

    • Alessandro Bicciato, Edwin Hancock, Richard Wilson, Andrea Torsello
    Pages 82-91

  11. Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions

    • Adriano De Simone, Michela Gravina, Carlo Sansone
    Pages 92-101

  12. The Effect of Class Distribution on Multi-Modal Medical Images Classification in Meta-Learning

    • Zainab Almugbel
    Pages 102-111

  13. From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures

    • Alexandru Valentin Pătraşcu, Ciprian-Mihai Ceauşescu, Bogdan Alexe
    Pages 112-121

  14. Chronic Wound Assessment with Semi-supervised Hierarchical CNNs

    • Shahram Ghahremani
    Pages 122-132

  15. ZIRACLE: Zero-Shot Composed Image Retrieval with Advanced Component-Level Emphasis

    • Florian Erdösi, Kilian Weishaupt, Khanlian Chung
    Pages 133-145

  16. Improving Object Detection Performance on Low-Quality Images Using Histogram Matching and Model Stacking

    • Yohanes Nuwara, Quoc-Huy Trinh
    Pages 146-155

  17. Comparing Learning Methods to Enhance Decision-Making in Simulated Curling

    • Michael Brunner, Kaspar Riesen
    Pages 156-165

  18. An Empirical Characterization of the Stability of Isolation Forest Results

    • Alberto Azzari, Manuele Bicego
    Pages 166-176

  19. Automated Classification of Android Games Using Word Embeddings

    • Elena Flondor, Marc Frincu
    Pages 177-187

  20. An Interesting Property of Random Forest Distances with Respect to the Curse of Dimensionality

    • Manuele Bicego, Ferdinando Cicalese
    Pages 188-198
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Other volumes

  1. Structural, Syntactic, and Statistical Pattern Recognition

Editors and Affiliations

  • Ca' Foscari University of Venice, Venice, Italy

    Andrea Torsello, Luca Cosmo, Giorgia Minello

  • The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Luca Rossi

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