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 VIII / 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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Personal Name(s): | Angelov, Plamen, editor |
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
XXXIV, 525 pages 171 illustrations, 164 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031441981 |
DOI: |
10.1007/978-3-031-44198-1 |
Series Title: |
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Lecture Notes in Computer Science ;
14261 |
Subject (LOC): |
- 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.