Structural, Syntactic, and Statistical Pattern Recognition

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

AvAndrea Torsello,Luca Rossi

Häftad, Engelska, 2025

Del 15444 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-01-31
Mått:155 x 235 x 12 mm
Vikt:330 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:200
Förlag:Springer International Publishing AG
ISBN:9783031805066

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Diskret matematik inom Naturvetenskap och teknik

Innehållsförteckning

.- 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.