國立虎尾科技大學 |

PRICAI 2022: Trends in Artificial Intelligence = 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	PRICAI 2022: Trends in Artificial Intelligence/ edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu.
其他題名:	19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II /
其他作者:	Xu, Guandong.
面頁冊數:	XX, 546 p. 143 illus., 133 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Imaging, Vision, Pattern Recognition and Graphics. -
電子資源:	https://doi.org/10.1007/978-3-031-20865-2
ISBN:	9783031208652

PRICAI 2022: Trends in Artificial Intelligence = 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II /
PRICAI 2022: Trends in Artificial Intelligence19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II /[electronic resource] :edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu. - 1st ed. 2022. - XX, 546 p. 143 illus., 133 illus. in color.online resource. - Lecture Notes in Computer Science,136301611-3349 ;. - Lecture Notes in Computer Science,9324.

Knowledge Representation and Reasoning -- Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information -- Source-Free Implicit Semantic Augmentation for Domain Adaptation -- Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality -- Dynamic Refining Knowledge Distillation Based on Attention Mechanism -- Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction -- Entity Similarity-based Negative Sampling for Knowledge Graph Embedding -- Label Enhancement using Inter-Example Correlation Information -- Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network -- Multi-Subspace Attention Graph Pooling -- Embedding for Temporal Knowledge Graph Reasoning -- Natural Language Processing -- M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering -- Noise-robust Semi-supervised Multi-modal Machine Translation -- SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction -- PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media -- Entity-aware Social Media Reading Comprehension -- Analysis via Virtual Node Augmented Graph Convolutional Networks -- Bidirectional Macro-level Discourse Parser based on Oracle Selection -- Evidence-Based Document-Level Event Factuality Identification -- Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion -- Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction -- A Structure-aware Method for Cross-domain Text Classification -- SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT -- HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification -- Pay Attention to the ”Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection -- Choice-driven Contextual Reasoning for Commonsense Question Answering -- Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism -- Chinese Medical Named Entity Recognition Using External Knowledge -- Neural Networks and Deep Learning -- Trajectory Prediction With Heterogeneous Graph Neural Network -- EEF1-NN: Efficient and EF1 allocations through Neural Networks -- Weighted Adaptive Perturbations Adversarial Training for Improving Robustness -- Improved Network Pruning via Similarity-Based Regularization -- Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer -- ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning -- Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval -- DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection -- A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss -- A Self-Supervised Graph Autoencoder with Barlow Twins -- Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales -- Group Residual Dense Block for Key-Point Detector with One-level Feature.

This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022. The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.

ISBN: 9783031208652

Standard No.: 10.1007/978-3-031-20865-2doiSubjects--Topical Terms:

671334
Computer Imaging, Vision, Pattern Recognition and Graphics.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

PRICAI 2022: Trends in Artificial Intelligence = 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II /
LDR:05532nam a22004215i 4500 001 1085147
003 DE-He213
005 20221103214250.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031208652 $9 978-3-031-20865-2
024 7 $a 10.1007/978-3-031-20865-2 $2 doi
035 $a 978-3-031-20865-2
050 4 $a Q334-342
050 4 $a TA347.A78
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
245 1 0 $a PRICAI 2022: Trends in Artificial Intelligence $h [electronic resource] : $b 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II / $c edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a XX, 546 p. 143 illus., 133 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computer Science, $x 1611-3349 ; $v 13630
505 0 $a Knowledge Representation and Reasoning -- Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information -- Source-Free Implicit Semantic Augmentation for Domain Adaptation -- Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality -- Dynamic Refining Knowledge Distillation Based on Attention Mechanism -- Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction -- Entity Similarity-based Negative Sampling for Knowledge Graph Embedding -- Label Enhancement using Inter-Example Correlation Information -- Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network -- Multi-Subspace Attention Graph Pooling -- Embedding for Temporal Knowledge Graph Reasoning -- Natural Language Processing -- M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering -- Noise-robust Semi-supervised Multi-modal Machine Translation -- SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction -- PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media -- Entity-aware Social Media Reading Comprehension -- Analysis via Virtual Node Augmented Graph Convolutional Networks -- Bidirectional Macro-level Discourse Parser based on Oracle Selection -- Evidence-Based Document-Level Event Factuality Identification -- Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion -- Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction -- A Structure-aware Method for Cross-domain Text Classification -- SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT -- HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification -- Pay Attention to the ”Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection -- Choice-driven Contextual Reasoning for Commonsense Question Answering -- Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism -- Chinese Medical Named Entity Recognition Using External Knowledge -- Neural Networks and Deep Learning -- Trajectory Prediction With Heterogeneous Graph Neural Network -- EEF1-NN: Efficient and EF1 allocations through Neural Networks -- Weighted Adaptive Perturbations Adversarial Training for Improving Robustness -- Improved Network Pruning via Similarity-Based Regularization -- Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer -- ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning -- Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval -- DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection -- A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss -- A Self-Supervised Graph Autoencoder with Barlow Twins -- Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales -- Group Residual Dense Block for Key-Point Detector with One-level Feature.
520 $a This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022. The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Computer vision. $3 561800
650 0 $a Image processing—Digital techniques. $3 1365735
650 0 $a Application software. $3 528147
650 0 $a Computer networks . $3 1365720
650 0 $a Computer engineering. $3 569006
650 0 $a Artificial intelligence. $3 559380
700 1 $a Xu, Guandong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 782251
700 1 $a Bai, Quan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1065870
700 1 $a Cao, Jian. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 881977
700 1 $a Khanna, Sankalp. $e editor. $1 https://orcid.org/0000-0001-6125-8871 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1391560
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031208645
776 0 8 $i Printed edition: $z 9783031208669
830 0 $a Lecture Notes in Computer Science, $x 0302-9743 ; $v 9324 $3 1258960
856 4 0 $u https://doi.org/10.1007/978-3-031-20865-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)