El. knyga: Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024, Revised Selected Papers

.- 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.