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Artificial Neural Networks and Machine Learning - ICANN 2021 (Record no. 89849)

000 -LEADER
fixed length control field 07350nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-3-030-86362-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730175250.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
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fixed length control field 210911s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030863623
-- 978-3-030-86362-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-86362-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
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
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Neural Networks and Machine Learning - ICANN 2021
Medium [electronic resource] :
Remainder of title 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I /
Statement of responsibility, etc. edited by Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XXIII, 617 p. 182 illus., 161 illus. in color.
Other physical details online resource.
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
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12891
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Adversarial machine learning -- An Improved (Adversarial) Reprogramming Technique for Neural Networks -- Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons -- How to compare adversarial robustness of classifiers from a global perspective -- Multiple-Model based Defense for Deep Reinforcement Learning against Adversarial Attack -- Neural Paraphrase Generation with Multi-Domain Corpus -- Leveraging Adversarial Training to Facilitate Grammatical Error Correction -- Statistical Certification of Acceptable Robustness for Neural Networks -- Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information -- Anomaly detection -- o 0097 - CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning -- Falcon: Malware Detection and Categorization with Network Traffic Images -- Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data -- Semi-supervised Graph Edge Convolutional Network for Anomaly Detection -- Feature Creation Towards the Detection of Non-Control-Flow Hijacking Attacks -- Attention and transformers I -- An Attention Module for Convolutional Neural Networks -- Attention-based 3D neural architectures for predicting cracks in designs -- Entity-aware Biaffine Attention for Constituent Parsing -- Attention-based Multi-View Feature Fusion for Cross-Domain Recommendation -- Say in Human-like Way: Hierarchical Cross-modal Information Abstraction and Summarization for Controllable Captioning -- DAEMA: Denoising Autoencoder with Mask Attention -- Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network -- EGAT: Edge-Featured Graph Attention Network -- Attention and transformers II -- Knowledge Graph Enhanced Transformer for Generative Question Answering Tasks -- GAttANet: Global attention agreement for convolutional neural networks -- Classification Models for Partially Ordered Sequences -- TINet: Multi-dimensional Traffic Data Imputation via Transformer Network -- Sequential Self-Attentive model for Knowledge Tracing -- Multi-Object Tracking based on Nearest Optimal Template Library -- TSTNet: A Sequence to Sequence Transformer Network for Spatial-temporal Traffic Prediction -- Audio and multimodal applications -- A multimode two-stream network for egocentric action recognition -- Behavior of Keyword Spotting Networks Under Noisy Conditions -- Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis -- AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation -- Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching -- Bird Audio Diarization with Faster R-CNN -- Multi-Modal Chorus Recognition for Improving Song Search -- FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection -- Bioinformatics and biosignal analysis -- Identification of Incorrect Karyotypes Using Deep Learning -- A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network -- Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets -- A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks -- Capsule networks -- CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation -- Learning Optimal Primary Capsules by Information Bottleneck -- Capsule Networks with Routing Annealing -- Training Deep Capsule Networks with Residual Connections -- Cognitive models -- Interpretable Visual Understanding with Cognitive Attention Network -- A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity -- A Predictive Coding Account for Chaotic Itinerancy -- A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia -- Transitions among metastable states underlie context-dependent working memories in a multiple timescale network.
520 ## - SUMMARY, ETC.
Summary, etc. The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as adversarial machine learning, anomaly detection, attention and transformers, audio and multimodal applications, bioinformatics and biosignal analysis, capsule networks and cognitive models. *The conference was held online 2021 due to the COVID-19 pandemic.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
9 (RLIN) 31572
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software.
9 (RLIN) 116064
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers.
9 (RLIN) 8172
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 116065
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Communication Networks.
9 (RLIN) 116066
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer and Information Systems Applications.
9 (RLIN) 116067
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing Milieux.
9 (RLIN) 55441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 116068
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farkaš, Igor.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116069
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Masulli, Paolo.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116070
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Otte, Sebastian.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116071
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wermter, Stefan.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 116072
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 116073
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030863616
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030863630
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12891
9 (RLIN) 116074
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-86362-3">https://doi.org/10.1007/978-3-030-86362-3</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.