東華大學圖書館 |

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural information processing/ edited by Mufti Mahmud ... [et al.].
Reminder of title:	31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.
remainder title:	ICONIP 2024
other author:	Mahmud, Mufti.
corporate name:	ICONIP (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxxiii, 448 p. :ill., digital ;24 cm.
[NT 15003449]:	Network structure and recurrent dynamics achieved by maximizing information transfer and minimizing maintenance costs of the network -- Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using Lagrange Programming Neural Network -- Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity -- ScaleMixer: A Multi-Scale MLP-Mixer Model for Long-Term Time Series Forecasting -- Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy -- USAM-Net: A U-Net based network for improved stereo correspondence and scene depth estimation using features from a pre-trained image segmentation network -- TaW-PeRCNN:Time-adaptive Weights Physics-encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations -- An Explainable Error Detection Approach for Machine Learning -- T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts -- Conformal Adversarial Generative Ensemble -- Virtual Command Allocation: Enhancing Hexapod Robot Locomotion through Goal-Conditioned Reinforcement Learning -- Adaptive Retrieval-based Gradient Planning for Offine Multi-context Model-based Optimization -- RBHAR: Role-Based Heterogeneous Action Representation in Multi-Agent Reinforcement Learning -- Deep mixtures of variational autoencoders model for representation learning and clustering tasks -- TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis -- Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks -- Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function -- Dual Cross Fusion Deep-unfolding Transformer for Hyperspectral Image Reconstruction -- A weight averaging neural network for semi-supervised data stream learning -- obust Noise Tolerant Algorithm for Randomized Neural Network -- Tackling Periodic Distribution Shifts in Federated Learning with Half-cycle Knowledge Distillation -- Multi-Scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling -- Temporal State Prediction and Sequence Recovery for Multi-Agent Reinforcement Learning -- Data Augmentation with Variational Autoencoder for Imbalanced Dataset -- Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data -- Certified Patch Defense via Dual Mask-Preservation Prediction -- Proximal Point Method for Online Saddle Point Problem -- Fast Preserving Local Distances and Topology in Auto-Encoders -- Neural Collapse Inspired Regularization for Deep Graph Neural Networks.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-6579-2
ISBN:	9789819665792

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part II /
Neural information processing31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.Part II /[electronic resource] :ICONIP 2024edited by Mufti Mahmud ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxxiii, 448 p. :ill., digital ;24 cm. - Lecture notes in computer science,152871611-3349 ;. - Lecture notes in computer science ;15287..

Network structure and recurrent dynamics achieved by maximizing information transfer and minimizing maintenance costs of the network -- Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using Lagrange Programming Neural Network -- Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity -- ScaleMixer: A Multi-Scale MLP-Mixer Model for Long-Term Time Series Forecasting -- Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy -- USAM-Net: A U-Net based network for improved stereo correspondence and scene depth estimation using features from a pre-trained image segmentation network -- TaW-PeRCNN:Time-adaptive Weights Physics-encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations -- An Explainable Error Detection Approach for Machine Learning -- T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts -- Conformal Adversarial Generative Ensemble -- Virtual Command Allocation: Enhancing Hexapod Robot Locomotion through Goal-Conditioned Reinforcement Learning -- Adaptive Retrieval-based Gradient Planning for Offine Multi-context Model-based Optimization -- RBHAR: Role-Based Heterogeneous Action Representation in Multi-Agent Reinforcement Learning -- Deep mixtures of variational autoencoders model for representation learning and clustering tasks -- TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis -- Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks -- Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function -- Dual Cross Fusion Deep-unfolding Transformer for Hyperspectral Image Reconstruction -- A weight averaging neural network for semi-supervised data stream learning -- obust Noise Tolerant Algorithm for Randomized Neural Network -- Tackling Periodic Distribution Shifts in Federated Learning with Half-cycle Knowledge Distillation -- Multi-Scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling -- Temporal State Prediction and Sequence Recovery for Multi-Agent Reinforcement Learning -- Data Augmentation with Variational Autoencoder for Imbalanced Dataset -- Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data -- Certified Patch Defense via Dual Mask-Preservation Prediction -- Proximal Point Method for Online Saddle Point Problem -- Fast Preserving Local Distances and Topology in Auto-Encoders -- Neural Collapse Inspired Regularization for Deep Graph Neural Networks.

The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.

ISBN: 9789819665792

Standard No.: 10.1007/978-981-96-6579-2doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part II /
LDR:04365nmm a2200361 a 4500 001 2413354
003 DE-He213
005 20250624130243.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819665792 $q (electronic bk.)
020 $a 9789819665785 $q (paper)
024 7 $a 10.1007/978-981-96-6579-2 $2 doi
035 $a 978-981-96-6579-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .I17 2024
111 2 $a ICONIP (Conference) $n (31st : $d 2024 : $c Auckland, N.Z.) $3 3789179
245 1 0 $a Neural information processing $h [electronic resource] : $b 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings. $n Part II / $c edited by Mufti Mahmud ... [et al.].
246 3 $a ICONIP 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxxiii, 448 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15287
505 0 $a Network structure and recurrent dynamics achieved by maximizing information transfer and minimizing maintenance costs of the network -- Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using Lagrange Programming Neural Network -- Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity -- ScaleMixer: A Multi-Scale MLP-Mixer Model for Long-Term Time Series Forecasting -- Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy -- USAM-Net: A U-Net based network for improved stereo correspondence and scene depth estimation using features from a pre-trained image segmentation network -- TaW-PeRCNN:Time-adaptive Weights Physics-encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations -- An Explainable Error Detection Approach for Machine Learning -- T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts -- Conformal Adversarial Generative Ensemble -- Virtual Command Allocation: Enhancing Hexapod Robot Locomotion through Goal-Conditioned Reinforcement Learning -- Adaptive Retrieval-based Gradient Planning for Offine Multi-context Model-based Optimization -- RBHAR: Role-Based Heterogeneous Action Representation in Multi-Agent Reinforcement Learning -- Deep mixtures of variational autoencoders model for representation learning and clustering tasks -- TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis -- Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks -- Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function -- Dual Cross Fusion Deep-unfolding Transformer for Hyperspectral Image Reconstruction -- A weight averaging neural network for semi-supervised data stream learning -- obust Noise Tolerant Algorithm for Randomized Neural Network -- Tackling Periodic Distribution Shifts in Federated Learning with Half-cycle Knowledge Distillation -- Multi-Scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling -- Temporal State Prediction and Sequence Recovery for Multi-Agent Reinforcement Learning -- Data Augmentation with Variational Autoencoder for Imbalanced Dataset -- Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data -- Certified Patch Defense via Dual Mask-Preservation Prediction -- Proximal Point Method for Online Saddle Point Problem -- Fast Preserving Local Distances and Topology in Auto-Encoders -- Neural Collapse Inspired Regularization for Deep Graph Neural Networks.
520 $a The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
650 0 $a Neural networks (Computer science) $x Congresses. $3 582186
650 1 4 $a Automated Pattern Recognition. $3 3538549
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Mahmud, Mufti. $3 3500851
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15287. $3 3789367
856 4 0 $u https://doi.org/10.1007/978-981-96-6579-2
950 $a Computer Science (SpringerNature-11645)