國立虎尾科技大學 |

PRICAI 2024 = trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings.. Part I /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	PRICAI 2024/ edited by Rafik Hadfi ... [et al.].
其他題名:	trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings.
其他作者:	Hadfi, Rafik.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxiv, 489 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Automated Pattern Recognition. -
電子資源:	https://doi.org/10.1007/978-981-96-0116-5
ISBN:	9789819601165

PRICAI 2024 = trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings.. Part I /
PRICAI 2024trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings.Part I /[electronic resource] :edited by Rafik Hadfi ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxiv, 489 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,152811611-3349 ;. - Lecture notes in artificial intelligence..

Machine Learning. -- Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation. -- EQUISCALE: Equitable Scaling for Abstention Learning. -- Unsupervised Clustering Using a Variational Autoencoder with Constrained Mixtures for Posterior and Prior. -- UTBoost: Gradient Boosted Decision Trees for Uplift Modeling. -- CodeMosaic Patch: Physical Adversarial Attacks Against Infrared Aerial Object Detectors. -- Sequential Clustering for Real-world Datasets. -- Dual-mode Contrastive Learning-Enhanced Knowledge Tracing. -- Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. -- Characterization of Similarity Metrics in Epistemic Logic. -- A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery. -- Enhanced Cognitive Distortions Detection and Classification through Data Augmentation Techniques. -- Enhancing Music Genre Classification using Augmented Features Ensemble Learning Technique. -- A Multi-Layer Network Community Detection Method via Network Feature Augmentation and Contrastive Learning. -- Scene Text Recognition Based on Corner Point and Attention Mechanism. -- A Comprehensive Framework for Debiased Sample Selection across All Noise Types. -- A Traffic Flow Prediction Model Integrating Dynamic Implicit Graph Information. -- A Recursive Learning Algorithm for the Least Squares SVM. -- BDEL: A Backdoor Attack Defense Method Based on Ensemble Learning. -- Customizing Spatial-Temporal Graph Mamba Networks for Pandemic Forecasting. -- Distribution-aligned Sequential Counterfactual Explanation with Local Outlier Factor. -- T-FIA: Temporal-Frequency Interactive Attention Network for Long-term Time Series Forecasting. -- Multi-modal Food Recommendation using Clustering andSelf-supervised Learning. -- A quality assessment method of few-shot datasets based on the fusion of quantity and quality. -- Deep Learning. -- CSDCNet: A Semantic Segmentation Network for Tubular Structures. -- Neural Network Surrogate based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. -- HN-Darts:Hybrid Network Differentiable Architecture Search for Industrial Scenarios. High-Order Structure Enhanced Graph Clustering. -- CAFGO: Confidence-Adaptive Factor Graph Optimization Algorithm for Fusion Localization. -- MFNAS: Multi-Fidelity Exploration in Neural Architecture Search with Stable Zero-shot Proxy. -- DyAGL: A Dynamic-aware Adaptive Graph Learning Network for Next POI Recommendation. -- Acoustic classification of bird species using improved pre-trained models. -- Aspect Term Extraction via Dynamic Attention and a Densely Connected Graph Convolutional Network. -- NLDF: Neural Light Dynamic Fields for 3D Talking Head Generation. -- Enhanced Knowledge Tracing via Frequency Integration and Order Sensitivity. -- Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. -- Pose Preserving Landmark Guided Neural Radiation Fields for Talking Portrait Synthesis. -- Adaptive Optimisation of PyTorch Memory Pools for DNNs. -- Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. -- Context-Aware Structural Adaptive Graph Neural Networks. -- multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation.

The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024. The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. The papers are organized in the following topical sections: Part I: Machine Learning, Deep Learning Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, Part III: Large Language Models, Computer Vision Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.

ISBN: 9789819601165

Standard No.: 10.1007/978-981-96-0116-5doiSubjects--Topical Terms:

1365734
Automated Pattern Recognition.

LC Class. No.: Q334

Dewey Class. No.: 006.3

PRICAI 2024 = trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings.. Part I /
LDR:05498nam a2200349 a 4500 001 1160068
003 DE-He213
005 20241117120819.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819601165 $q (electronic bk.)
020 $a 9789819601158 $q (paper)
024 7 $a 10.1007/978-981-96-0116-5 $2 doi
035 $a 978-981-96-0116-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .P117 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a PRICAI 2024 $h [electronic resource] : $b trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024 : proceedings. $n Part I / $c edited by Rafik Hadfi ... [et al.].
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xxiv, 489 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15281
490 1 $a Lecture notes in artificial intelligence
505 0 $a Machine Learning. -- Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation. -- EQUISCALE: Equitable Scaling for Abstention Learning. -- Unsupervised Clustering Using a Variational Autoencoder with Constrained Mixtures for Posterior and Prior. -- UTBoost: Gradient Boosted Decision Trees for Uplift Modeling. -- CodeMosaic Patch: Physical Adversarial Attacks Against Infrared Aerial Object Detectors. -- Sequential Clustering for Real-world Datasets. -- Dual-mode Contrastive Learning-Enhanced Knowledge Tracing. -- Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. -- Characterization of Similarity Metrics in Epistemic Logic. -- A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery. -- Enhanced Cognitive Distortions Detection and Classification through Data Augmentation Techniques. -- Enhancing Music Genre Classification using Augmented Features Ensemble Learning Technique. -- A Multi-Layer Network Community Detection Method via Network Feature Augmentation and Contrastive Learning. -- Scene Text Recognition Based on Corner Point and Attention Mechanism. -- A Comprehensive Framework for Debiased Sample Selection across All Noise Types. -- A Traffic Flow Prediction Model Integrating Dynamic Implicit Graph Information. -- A Recursive Learning Algorithm for the Least Squares SVM. -- BDEL: A Backdoor Attack Defense Method Based on Ensemble Learning. -- Customizing Spatial-Temporal Graph Mamba Networks for Pandemic Forecasting. -- Distribution-aligned Sequential Counterfactual Explanation with Local Outlier Factor. -- T-FIA: Temporal-Frequency Interactive Attention Network for Long-term Time Series Forecasting. -- Multi-modal Food Recommendation using Clustering andSelf-supervised Learning. -- A quality assessment method of few-shot datasets based on the fusion of quantity and quality. -- Deep Learning. -- CSDCNet: A Semantic Segmentation Network for Tubular Structures. -- Neural Network Surrogate based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. -- HN-Darts:Hybrid Network Differentiable Architecture Search for Industrial Scenarios. High-Order Structure Enhanced Graph Clustering. -- CAFGO: Confidence-Adaptive Factor Graph Optimization Algorithm for Fusion Localization. -- MFNAS: Multi-Fidelity Exploration in Neural Architecture Search with Stable Zero-shot Proxy. -- DyAGL: A Dynamic-aware Adaptive Graph Learning Network for Next POI Recommendation. -- Acoustic classification of bird species using improved pre-trained models. -- Aspect Term Extraction via Dynamic Attention and a Densely Connected Graph Convolutional Network. -- NLDF: Neural Light Dynamic Fields for 3D Talking Head Generation. -- Enhanced Knowledge Tracing via Frequency Integration and Order Sensitivity. -- Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. -- Pose Preserving Landmark Guided Neural Radiation Fields for Talking Portrait Synthesis. -- Adaptive Optimisation of PyTorch Memory Pools for DNNs. -- Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. -- Context-Aware Structural Adaptive Graph Neural Networks. -- multi-GAT: Integrative Analysis of scRNA-seq and scATAC-seq Data Using Graph Attention Networks for Cell Annotation.
520 $a The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024. The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. The papers are organized in the following topical sections: Part I: Machine Learning, Deep Learning Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, Part III: Large Language Models, Computer Vision Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.
650 2 4 $a Automated Pattern Recognition. $3 1365734
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 1365738
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computing Milieux. $3 669921
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Artificial intelligence $3 671585
700 1 $a Hadfi, Rafik. $3 1487218
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in artificial intelligence. $3 1208301
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u https://doi.org/10.1007/978-981-96-0116-5
950 $a Computer Science (SpringerNature-11645)