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Artificial neural networks and machine learning - ICANN 2023 = 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.. Part IV /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial neural networks and machine learning - ICANN 2023/ edited by Lazaros Iliadis ... [et al.].
其他題名:	32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
其他題名:	ICANN 2023
其他作者:	Iliadis, Lazaros S.
團體作者:	International Conference on Artificial Neural Networks (European Neural Network Society)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xxxv, 603 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Neural networks (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-44216-2
ISBN:	9783031442162

Artificial neural networks and machine learning - ICANN 2023 = 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.. Part IV /
Artificial neural networks and machine learning - ICANN 202332nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.Part IV /[electronic resource] :ICANN 2023edited by Lazaros Iliadis ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xxxv, 603 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,142570302-9743 ;. - Lecture notes in computer science ;14257..

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.

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 included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.

ISBN: 9783031442162

Standard No.: 10.1007/978-3-031-44216-2doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Artificial neural networks and machine learning - ICANN 2023 = 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.. Part IV /
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