Artificial neural networks and machine learning -- ICANN 2022 : (Record no. 656947)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field on1344334459
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250707094551.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220913s2022 sz a o 101 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency GW5XE
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency GW5XE
Modifying agency EBLCP
-- OCLCF
-- OCLCQ
-- INT
-- OCLCO
-- WSU
-- OCLCO
-- OCLCL
019 ## -
-- 1344161446
-- 1374609138
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031159374
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3031159373
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783031159367
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788303115935
Qualifying information (4)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 8303115936
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-15937-4
Source of number or code doi
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000072801628
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000074038792
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1344334459
Canceled/invalid control number (OCoLC)1344161446
-- (OCoLC)1374609138
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.87
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/2
Edition number 23/eng/20220913
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
111 2# - MAIN ENTRY--MEETING NAME
Meeting name or jurisdiction name as entry element International Conference on Artificial Neural Networks (European Neural Network Society)
Number of part/section/meeting (31st :
Date of meeting 2022 :
Location of meeting Bristol, England ; Online)
245 10 - TITLE STATEMENT
Title Artificial neural networks and machine learning -- ICANN 2022 :
Remainder of title 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings.
Number of part/section of a work Part IV /
Statement of responsibility, etc. Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.).
246 3# - VARYING FORM OF TITLE
Title proper/short title ICANN 2022
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham, Switzerland :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxii, 795 pages) :
Other physical details illustrations (some color).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Source rdaft
Authority record control number or standard number http://rdaregistry.info/termList/fileType/1002
490 1# - SERIES STATEMENT
Series statement Lecture notes in computer science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13532
520 ## - SUMMARY, ETC.
Summary, etc. The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.
500 ## - GENERAL NOTE
General note Includes author index.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from PDF title page (SpringerLink, viewed September 13, 2022).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Preface -- Organization -- Contents - Part IV -- Analysing the Predictivity of Features to Characterise the Search Space -- 1 Introduction -- 2 Related Work -- 3 Landscape Features -- 4 Experimental Results -- 4.1 Feature Exploratory Analysis -- 4.2 Operator Classification -- 5 Conclusions and Future Work -- References -- Boosting Feature-Aware Network for Salient Object Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Overall Framework -- 3.2 Edge Guidance Sub-network -- 3.3 Object Sub-network -- 3.4 Loss Function -- 4 Experimental Results
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.1 Datasets and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Comparison with the State-of-the-Arts -- 4.4 Ablation Studies -- 5 Conclusion -- References -- Continual Learning Based on Knowledge Distillation and Representation Learning -- 1 Introduction -- 2 Related Works -- 2.1 Class Incremental Learning -- 2.2 Beta-VAE -- 2.3 Knowledge Distillation -- 3 Model and Methodology -- 3.1 KRCL Model -- 3.2 KRCL Loss Function -- 3.3 Model Parameters and Update Rules -- 4 Experimental Comparison -- 4.1 Benchmark Datasets -- 4.2 Baseline Methods -- 4.3 Network Architecture
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.4 Evaluation Metrics -- 4.5 Experimental Results and Analysis -- 5 Conclusions and Future Works -- References -- Deep Feature Learning for Medical Acoustics -- 1 Introduction -- 2 The Considered Frontends -- 2.1 Mel-filterbanks -- 2.2 LEAF -- 2.3 nnAudio -- 3 Models -- 3.1 EfficientNet -- 3.2 VGG -- 4 Datasets -- 4.1 Respiratory Dataset -- 4.2 Heartbeat Dataset -- 5 Experiments -- 5.1 Pre-processing -- 5.2 System Parameterization -- 6 Results -- 6.1 Test 1 -- Respiratory -- 6.2 Test 2 -- Heartbeat -- 6.3 Overall -- 7 Conclusion -- References -- Feature Fusion Distillation -- 1 Introduction
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2 Related Work -- 3 Method -- 3.1 Feature Fusion Module -- 3.2 Asymmetric Switch Function -- 3.3 Total Loss Function -- 4 Experiments -- 4.1 Image Classification (CIFAR-100) -- 4.2 Image Classification (ImageNet-1K) -- 4.3 Object Detection -- 4.4 Semantic Segmentation -- 5 Ablation Study -- 6 Conclusion -- A Margin Value -- References -- Feature Recalibration Network for Salient Object Detection -- 1 Introduction -- 2 Proposed Method -- 2.1 Consistency Recalibration Module -- 2.2 Multi-source Feature Recalibration Module -- 2.3 Loss Function -- 3 Experiments -- 3.1 Datasets and Evaluation Metrics
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.2 Implementation Details -- 3.3 Comparison with the State-of-the-Art -- 3.4 Ablation Studies -- 4 Conclusion -- References -- Feature Selection for Trustworthy Regression Using Higher Moments -- 1 Introduction -- 2 Trustworthy Regression -- 3 Feature Relevance -- 3.1 Feature Relevance for Classification -- 3.2 Feature Relevance for (MSE-)Regression -- 4 Feature Selection Methods -- 5 On the Relation of Relevance Notions -- 6 Application: Moment Feature Relevance -- 7 Empirical Evaluation -- 8 Conclusion -- References -- Fire Detection Based on Improved-YOLOv5s -- 1 Introduction -- 2 Method
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
Form subdivision Congresses.
9 (RLIN) 10641
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Form subdivision Congresses.
9 (RLIN) 15308
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
Form subdivision Congresses.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Réseaux neuronaux (Informatique)
Form subdivision Congrès.
9 (RLIN) 20059
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apprentissage automatique
Form subdivision Congrès.
9 (RLIN) 20183
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Intelligence artificielle
Form subdivision Congrès.
9 (RLIN) 17678
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
Source of heading or term fast
9 (RLIN) 1340
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Source of heading or term fast
9 (RLIN) 1680
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
Source of heading or term fast
9 (RLIN) 1703
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term proceedings (reports)
Source of term aat
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Conference papers and proceedings
Source of term fast
9 (RLIN) 6065
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Conference papers and proceedings.
Source of term lcgft
9 (RLIN) 6065
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Actes de congrès.
Source of term rvmgf
9 (RLIN) 609890
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pimenidis, Elias,
Relator term editor.
-- https://orcid.org/0000-0003-3593-8640
9 (RLIN) 64809
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Angelov, Plamen P.,
Relator term editor.
-- https://orcid.org/0000-0002-5770-934X
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jayne, Chrisina,
Relator term editor.
-- https://orcid.org/0000-0001-7292-2109
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Papaleonidas, Antonios,
Relator term editor.
Authority record control number (orcid)0000-0002-0545-7638
-- https://orcid.org/0000-0002-0545-7638
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aydin, M. E.
Fuller form of name (Mehmet E.),
Relator term editor.
-- https://id.oclc.org/worldcat/entity/E39PCjvkydt8fR9tyyWKgqg9pd
-- https://orcid.org/0000-0002-4890-5648
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Pimenidis, Elias
Title Artificial Neural Networks and Machine Learning - ICANN 2022
Place, publisher, and date of publication Cham : Springer,c2022
International Standard Book Number 9783031159367
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture notes in computer science ;
Volume number/sequential designation 13532.
International Standard Serial Number 1611-3349
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://link.springer.com/10.1007/978-3-031-15937-4">https://link.springer.com/10.1007/978-3-031-15937-4</a>
938 ## -
-- ProQuest Ebook Central
-- EBLB
-- EBL7081056
994 ## -
-- 92
-- ATIST
Holdings
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