Artificial Neural Networks and Machine Learning - ICANN 2023

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.