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 V / 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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Full text |
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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
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| Physical Description: |
XXXV, 589 pages 206 illustrations, 186 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783031441929 |
| DOI: |
10.1007/978-3-031-44192-9 |
| Series Title: |
Lecture Notes in Computer Science ;
14258 |
| Subject (LOC): |
- A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition
- ANODE-GAN: Incomplete Time Series Imputation by Augmented Neural ODE-based Generative Adversarial Networks
- Boosting Adversarial Transferability through Intermediate Feature
- DaCon: Multi-Domain Text Classification Using Domain Adversarial Contrastive Learning
- Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks
- GC-GAN: Photo Cartoonization using Guided Cartoon Generative Adversarial Network
- Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion
- Generative Event Extraction via Internal Knowledge-enhanced Prompt Learning
- Improved attention mechanism and adversarial training for respiratory infectious disease text named entity recognition
- Low-frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack
- Multi-Convolution and Adaptive-stride Based Transferable Adversarial Attacks
- Multi-Source Open-Set Image Classification based on Deep Adversarial Domain Adaptation
- SAL: Salient Adversarial Attack with LRP Refinement
- Towards background and foreground color robustness with adversarial right for the right reasons
- Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation
- TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack
- A spatial interpolation method based on meta-learning with spatial weighted neural networks
- Adapted Methods for GAN Vocoders via Skip-Connections ISTFT and Cooperative Structure
- An Efficient Approximation Method Based on Enhanced Physics-informed Neural Networks for Solving Localized Wave Solutions of PDEs
- Causal Interpretability and Uncertainty Estimation in Mixture Density Networks
- Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-network with Multi-limit cycle Formulation
- Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
- Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment
- Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics
- Guiding the Comparison of Neural Network Local Robustness: An Empirical Study
- Information-Theoretically Secure Neural Network Training with Flexible Deployment
- LRP-GUS: A visual based data reduction algorithm for Neural Networks
- Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments
- Mixed-mode response of Nigral Dopaminergic neurons: an in silico study on SpiNNaker
- Pan-Sharpening with Global Multi-Scale Context Network
- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison
- Population Coding Can Greatly Improve Performance of Neural Networks: A Comparison
- QuasiNet: a neural network with trainable product layers
- Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
- Real-time Adaptive Physical Sensor Processing with SNN Hardware
- Regularization for Hybrid N-Bit Weight Quantization of Neural Networks on Ultra-Low Power Microcontrollers
- SGNN: A new method for learning representations on signed networks
- SkaNet: Split Kernel Attention Network
- Syntax-Aware Complex-Valued Neural Machine Translation
- Traffic Flow Prediction Based on Multi-Type Characteristic Hybrid Graph Neural Network
- Whisker Analysis Framework for Unrestricted Mice with Neural Networks
- Adaptive Segmentation Network for Scene Text Detection
- How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction
- Label-guided Graphormer for Hierarchy Text Classification
- Text Semantic Matching Research Based on Parallel Dropout
- Towards Better Core Elements Extraction for Customer Service Dialogue Text
- UIT: Unifying Pre-Training Objectives for Image-Text Understanding.