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Artificial Neural Networks and Machine Learning ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 2629, 2023, Proceedings, Part VIII 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 525 pages, height x width: 235x155 mm, weight: 854 g, 164 Illustrations, color; 7 Illustrations, black and white; XXXIV, 525 p. 171 illus., 164 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14261
  • Izdošanas datums: 22-Sep-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031441974
  • ISBN-13: 9783031441974
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Artificial Neural Networks and Machine Learning ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 2629, 2023, Proceedings, Part VIII 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 525 pages, height x width: 235x155 mm, weight: 854 g, 164 Illustrations, color; 7 Illustrations, black and white; XXXIV, 525 p. 171 illus., 164 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14261
  • Izdošanas datums: 22-Sep-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031441974
  • ISBN-13: 9783031441974
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031441974.html
Keywords:

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.  


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.