Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IV /

Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IV / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne.

The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023. The 426 full papers, 9 short papers and 9 abstract papers in...

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Angelov, Plamen, editor
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor
1st edition 2023.
Cham : Springer, 2023
XXXV, 603 pages 173 illustrations, 158 illustrations in color (online resource)
englisch
9783031442162
10.1007/978-3-031-44216-2
Lecture Notes in Computer Science ; 14257
Application software.
Artificial intelligence.
Computer engineering.
Computer networks .
Computers.



  • Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data
  • An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data
  • Analysis and Interpretation of ECG Time series through Convolutional Neural Networks in Brugada Syndrome Diagnosis
  • Analysis of Augmentations in Contrastive Learning for Parkinson's Disease Diagnosis
  • BF-Net: A Fine-Grained Network for Identify Bacterial and Fungal Keratitis
  • Bilateral Mammogram Mass Detection Based On Window Cross Attention
  • Boundary Attentive Spatial Multi-Scale Network For Cardiac MRI Image Segmentation
  • Clinical pixel feature recalibration module for ophthalmic image classification
  • CopiFilter: An Auxiliary Module Adapts Pre-trained Transformers for Medical Dialogue Summarization
  • IESBU-Net: A lightweight skin lesion segmentation UNet with inner-module extension and skip-connection bridge
  • Molecular Substructure-based Double-Central Drug-Drug Interaction prediction
  • Prediction of cancer drug sensitivity based on GBDT-RF algorithm
  • Risk stratification of malignant melanoma using neural networks
  • Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis
  • The Optimization and Parallelization of Two-Dimensional Zigzag Scanning on the Matrix
  • Tooth segmentation from Cone-Beam CT Images through boundary refinement
  • Transformer Based Prototype Learning for Weakly-Supervised Histopathology Tissue Semantic Segmentation
  • A Balanced Relation Prediction Framework for Scene Graph Generation
  • A Graph Convolutional Siamese Network for Assessment and Recognition Physical Rehabilitation Exercises
  • A Graph Neural Network-based Smart Contract Vulnerability Detection Method With Artificial Rule
  • Adaptive Randomized Graph Neural Network based on Markov Diffusion Kernel
  • Adaptive Weighted Multi-View Evidential Clustering
  • An untrained neural model for fast and accurate graph classification
  • BGEK: External Knowledge-enhanced Graph Convolutional Networks for Rumor Detection in Online Social Networks
  • BIG-FG: A Bi-directional Interaction Graph Framework with Filter Gate Mechanism for Chinese Spoken Language Understanding
  • Co-RGCN: A Bi-path GCN-based Co-Regression model for Multi-intent Detection and Slot Filling
  • DNFS: a Digraph Neural Network with the First-order and the Second-order Similarity
  • Efficient Question Answering Based on Language Models and Knowledge Graphs
  • Event association analysis using graph rules
  • Fake Review Detection via Heterogeneous Graph Attention Network
  • GatedGCN with GraphSage to Solve Traveling Salesman Problem
  • GNN Graph Classification Method to Discover Climate Change Patterns
  • GNN-MRC: Machine Reading Comprehension based on GNN Augmentation
  • Graph Convolutional Network Semantic Enhancement Hashing for Self-supervised Cross-Modal Retrieval
  • Heterogeneous Graph Neural Network Knowledge Graph Completion Model Based on Improved Attention Mechanism
  • Hierarchical Diachronic Embedding of Knowledge Graph combined with Fragmentary Information Filtering
  • K-DLM: A Domain-Adaptive Language Model Pre-Training Framework with Knowledge Graph
  • Label Enhanced Graph Attention Network for Truth Inference
  • LogE-Net: Logic evolution network for temporal knowledge graph forecasting
  • LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration
  • Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling
  • Multimodal Cross-Attention Graph Network for Desire Detection
  • Negative Edge Prediction for Attributed Graph Clustering
  • One-Class Intrusion Detection with Dynamic Graphs
  • Sequence-based Modeling for Temporal Knowledge Graph Link Prediction
  • Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction
  • Supervised Attention Using Homophily in Graph Neural Networks
  • Target-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph.