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

Colaborador(es): Iliadis, Lazaros [editor.] | Papaleonidas, Antonios [editor.] | Angelov, Plamen [editor.] | Jayne, Chrisina [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 14261Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXXIV, 525 p. 171 illus., 164 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031441981Tema(s): Artificial intelligence | Application software | Computers | Computer engineering | Computer networks  | Artificial Intelligence | Computer and Information Systems Applications | Computing Milieux | Computer Engineering and NetworksFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
2RDA: Representation and Relation Distillation with Data Augmentation -- A Document-Level Relation Extraction Framework with Dynamic Pruning -- A Global Feature Fusion Network for Lettuce Growth Trait Detection -- Adaptive Embedding and Distribution Re-Margin for Long-tail Recognition -- Adaptive Propagation Network Based on Multi-Scale Information Fusion -- An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification -- An Explainable Feature Selection Approach for Fair Machine Learning -- Anchor link prediction based on trusted anchor re-identification -- Application of Data Encryption in Chinese Named Entity Recognition -- Attractor dynamics drive flexible timing in birdsong -- Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier -- Can Machine Learning Support Improvement in Effective Nutrition of patients in Critical Care Units? -- Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation -- Delineation of prostate boundary from medical images via a mathematical formula-based hybrid algorithm -- Diversifying non-dissipative Reservoir Computing dynamics -- Efficient Reinforcement Learning using State-Action Uncertainty with Multiple Heads -- Exploring the role of feedback inhibition for the robustness against corruptions on event-based data -- Extracting feature space for synchronizing behavior in an interaction scene using unannotated data -- F-E Fusion:A Fast Detection Method of Moving UAV Based on Frame and Event Flow -- Few-shot Relational Triple Extraction based on Evaluation of Token-Level Semantic Similarity -- GII: a Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery -- Glancing text and vision regularized training to enhance machine translation -- Global-Temporal Enhancement for Sign Language Recognition -- Global-to-contextual Shared Semantic Learning for Fine-grained Vision-language Alignment -- Gradient-based Learning of Finite Automata -- Hierarchical Contrastive Learning for CSI-based Fingerprint Localization -- Higher Education Programming Competencies: A Novel Dataset -- Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement -- I^2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding -- Imbalanced Few-shot Learning based on Meta-transfer Learning -- Impact Analysis of Climate Change on Floods in an Indian Region using Machine Learning -- Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network -- Input Layer Binarization with Bit-Plane Encoding -- Investigation of Information Processing Mechanisms in the Human Brain during Reading Tanka Poetry -- Joint Demosaicing and Denoising with Frequency Domain Features -- Knowledge Distillation with Feature Enhancement Mask -- Label-description Enhanced Network for Few-shot Named Entity Recognition -- Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm -- LaneMP: Robust Lane Attention Detection based on Mutual Perception of Keypoints -- LE-MVSNet: Lightweight Efficient Multi-view Stereo Network -- Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction -- Limited Information Opponent Modeling.
En: Springer Nature eBookResumen: 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. .
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Acceso multiusuario

2RDA: Representation and Relation Distillation with Data Augmentation -- A Document-Level Relation Extraction Framework with Dynamic Pruning -- A Global Feature Fusion Network for Lettuce Growth Trait Detection -- Adaptive Embedding and Distribution Re-Margin for Long-tail Recognition -- Adaptive Propagation Network Based on Multi-Scale Information Fusion -- An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification -- An Explainable Feature Selection Approach for Fair Machine Learning -- Anchor link prediction based on trusted anchor re-identification -- Application of Data Encryption in Chinese Named Entity Recognition -- Attractor dynamics drive flexible timing in birdsong -- Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier -- Can Machine Learning Support Improvement in Effective Nutrition of patients in Critical Care Units? -- Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation -- Delineation of prostate boundary from medical images via a mathematical formula-based hybrid algorithm -- Diversifying non-dissipative Reservoir Computing dynamics -- Efficient Reinforcement Learning using State-Action Uncertainty with Multiple Heads -- Exploring the role of feedback inhibition for the robustness against corruptions on event-based data -- Extracting feature space for synchronizing behavior in an interaction scene using unannotated data -- F-E Fusion:A Fast Detection Method of Moving UAV Based on Frame and Event Flow -- Few-shot Relational Triple Extraction based on Evaluation of Token-Level Semantic Similarity -- GII: a Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery -- Glancing text and vision regularized training to enhance machine translation -- Global-Temporal Enhancement for Sign Language Recognition -- Global-to-contextual Shared Semantic Learning for Fine-grained Vision-language Alignment -- Gradient-based Learning of Finite Automata -- Hierarchical Contrastive Learning for CSI-based Fingerprint Localization -- Higher Education Programming Competencies: A Novel Dataset -- Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement -- I^2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding -- Imbalanced Few-shot Learning based on Meta-transfer Learning -- Impact Analysis of Climate Change on Floods in an Indian Region using Machine Learning -- Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network -- Input Layer Binarization with Bit-Plane Encoding -- Investigation of Information Processing Mechanisms in the Human Brain during Reading Tanka Poetry -- Joint Demosaicing and Denoising with Frequency Domain Features -- Knowledge Distillation with Feature Enhancement Mask -- Label-description Enhanced Network for Few-shot Named Entity Recognition -- Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm -- LaneMP: Robust Lane Attention Detection based on Mutual Perception of Keypoints -- LE-MVSNet: Lightweight Efficient Multi-view Stereo Network -- Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction -- Limited Information Opponent Modeling.

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. .

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