Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-11, 2024, Revised Selected Papers

Cosmo, Luca; Minello, Giorgia; Torsello, Andrea; Rossi, Luca

Springer International Publishing AG

01/2025

171

Mole

9783031805066

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.
artificial intelligence;computer science;computer systems;computer vision;deep learning;graph theory;image analysis;image processing;machine learning;mathematics;neural networks;pattern recognition;signal processing