Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9–10, 2024, Revised Selected Papers /

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...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Torsello, Andrea (Editor), Rossi, Luca (Editor), Cosmo, Luca (Editor), Minello, Giorgia (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Lecture Notes in Computer Science, 15444
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-80507-3
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Obsah:
  • -- A Differentiable Approximation of the Graph Edit Distance.
  • Learning Graph Similarity by Counting Holes in Simplicial Complexes.
  • Community-Hop: Enhancing Node Classification through Community Preference.
  • Spatio-Temporal Graph Neural Networks for Water Temperature Modeling.
  • Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection.
  • LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia.
  • Evaluation metrics in Saliency Maps applied to Graph Regression.
  • LESI-GNN: an Interpretable Graph Neural Network based on Local Structures Embedding.
  • Mixture of Variational Graph Autoencoders.
  • Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions.
  • Multi-modal Medical Images Classification Using Meta-learning Algorithms.
  • From semantic segmentation of natural images to medical image segmentation using ViT-based architectures.
  • Chronic Wound Segmentation and Measurement Using Semi-Supervised Hierarchical Convolutional Neural Networks.
  • ZIRACLE: Zero-shot composed Image Retrieval with Advanced Component-Level Emphasis.
  • Improving Object Detector Performance on Low-Quality Images using Histogram Matching and Model Stacking.
  • Comparing Learning Methods to Enhance Decision-Making in Simulated Curling.
  • An empirical characterization of the stability of Isolation Forest results.
  • Automated Classification of Android Games using Word Embeddings.
  • An interesting property of Random Forest distances with respect to the curse of dimensionality.