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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 V /

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, 589 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Neural networks (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-44192-9
ISBN:	9783031441929

Artificial neural networks and machine learning - ICANN 2023 = 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.. Part V /
Artificial neural networks and machine learning - ICANN 202332nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.Part V /[electronic resource] :ICANN 2023edited by Lazaros Iliadis ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xxxv, 589 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,142580302-9743 ;. - Lecture notes in computer science ;14258..

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.

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: 9783031441929

Standard No.: 10.1007/978-3-031-44192-9doiSubjects--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 V /
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