Artificial Neural Networks and Machine Learning – ICANN 2021 : (Record no. 200467728)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 200467728
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260327114136.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210910s2021 sz | o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3030863832
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-86383-8
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CKB)4100000012025884
System control number (MiAaPQ)EBC6724986
System control number (Au-PeEL)EBL6724986
System control number (OCoLC)1268261511
System control number (DE-He213)978-3-030-86383-8
System control number (PPN)258051337
System control number (EXLCZ)994100000012025884
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 14 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.87
Item number .A785 2021
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
Subject category code COM004000
Source bisacsh
Subject category code UYQ
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA76.87
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .A785 2021EBK
245 10 - TITLE STATEMENT
Title Artificial Neural Networks and Machine Learning – ICANN 2021 :
Remainder of title 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V /
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 1 online resource (704 pages)
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
490 1# - SERIES STATEMENT
Series statement Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12895
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Representation learning -- SageDy: A Novel Sampling and Aggregating based Representation Learning Approach for Dynamic Networks -- CuRL: Coupled Representation Learning of cards and merchants to detect transaction frauds -- Revisiting Loss Functions for Person Re-Identification -- Statistical Characteristics of Deep Representations: An Empirical Investigation -- Reservoir computing -- Unsupervised Pretraining of Echo State Networks for Onset Detection -- Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs -- Which Hype for my New Task? Hints and Random Search for Echo State Networks Hyperparameters -- Semi- and Unsupervised learning -- A new Nearest Neighbor Median Shift Clustering for Binary Data -- Self-supervised Multi-view Clustering for Unsupervised Image Segmentation -- Evaluate Pseudo Labeling and CNN for multi-variate time series classification in low-data regimes -- Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP) -- Short Text Clustering with A Deep Multi-Embedded Self-Supervised Model -- Brain-like approaches to unsupervised learning of hidden representations - a comparative study -- Spiking neural networks -- A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model -- SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking -- The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks -- Algorithm For 3D-Chemotaxis Using Spiking Neural Network -- Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning -- Dynamic Action Inference with Recurrent Spiking Neural Networks -- End-to-end Spiking Neural Network for Speech Recognition Using Resonating Input Neurons -- Text understanding I -- Visual-Textual Semantic Alignment Network for Visual Question Answering -- Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images -- STCP: An Efficient Model Combing Subject Triples and Constituency Parsing for Recognizing Textual Entailment -- A Latent Variable Model with Hierarchical structure and GPT-2 for long text generation -- A Scoring Model Assisted by Frequency for Multi-Document Summarization -- A Strategy for Referential Problem in Low-Resource Neural Machine Translation -- A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism -- Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition -- Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision -- Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules -- Text understanding II -- Detecting Scarce Emotions Using BERT and Hyperparameter Optimization -- Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter -- T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information -- Graph Enhanced BERT for Stance-aware Rumor Verification on Social Media -- Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction -- Learning to Remove: Towards Isotropic Pre-trained BERT Embedding -- ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference -- Multi-Features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3 -- Style as Sentiment versus Style as Formality: the same or different? -- Transfer and meta learning -- Low-resource Neural Machine Translation Using XLNet Pre-training Model -- Self-Learning for Received Signal Strength MapReconstruction with Neural Architecture Search -- Propagation-aware Social Recommendation by Transfer Learning -- Evaluation of Transfer Learning for Visual Road Condition Assessment -- EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search -- DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition -- Dynamic Tuning andWeighting of Meta-Learning for NMT Domain Adaptation -- Improving Transfer Learning in Unsupervised Language Adaptation -- Sample-Label View Transfer Active Learning for Time Series Classification -- Video processing -- Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation -- Traffic Camera Calibration via Vehicle Vanishing Point Detection -- Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution -- Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking -- Dense video captioning for incomplete videos -- Modeling Context-guided Visual and Linguistic Semantic Feature for Video Captioning.
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 representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *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.
Topical term or geographic name entry element Application software.
9 (RLIN) 4694
Topical term or geographic name entry element Data mining.
9 (RLIN) 6146
Topical term or geographic name entry element Database management.
9 (RLIN) 1343
Topical term or geographic name entry element Social sciences
General subdivision Data processing.
Topical term or geographic name entry element Computer vision.
9 (RLIN) 2455
Topical term or geographic name entry element Artificial Intelligence.
Topical term or geographic name entry element Computer and Information Systems Applications.
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
Topical term or geographic name entry element Database Management.
9 (RLIN) 1343
Topical term or geographic name entry element Computer Application in Social and Behavioral Sciences.
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 2455
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
Source of term local
9 (RLIN) 2032
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farkas, Igor,
Relator term editor
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
International Standard Book Number 3-030-86382-4
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Theoretical Computer Science and General Issues,
International Standard Serial Number 2512-2029 ;
Volume/sequential designation 12895
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Springerlink
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-030-86383-8">https://link.springer.com/book/10.1007/978-3-030-86383-8</a>
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Full call number Barcode Date last seen Cost, replacement price Date shelved Koha item type
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 22/07/2025   0.00 BİL QA76.87 .A785 2021EBK EBK03944 22/07/2025 0.00 22/07/2025 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.