Artificial Neural Networks and Machine Learning – ICANN 2023 (Record no. 185132)

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control field 978-3-031-44207-0
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control field 20240423130116.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031442070
-- 978-3-031-44207-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-44207-0
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
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Subject category code COM004000
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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 2023
Medium [electronic resource] :
Remainder of title 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part I /
Statement of responsibility, etc edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XXXV, 593 p. 196 illus., 172 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 14254
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note A classification performance evaluation measure considering data separability -- A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-Label Classification -- A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification -- A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation -- A Policy for Early Sequence Classification -- A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases -- An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-class Teaching Quality Evaluation -- Architecturing Binarized Neural Networks for Traffic Sign Recognition -- Boosting Few-Shot Classification with Lie Group Contrastive Learning -- Context Enhancement Methodology for action recognition in still images -- Discrete Denoising Diffusion Approach to Integer Factorization -- Distinguishing the correctness of knowledge makes knowledge transfer better -- Diversified Contrastive Learning For Few-Shot Classification -- Enhancing Cross-lingual Few-shot Named Entity Recognition by Prompt-guiding -- FAIR: A Causal Framework for Accurately Inferring Judgments Reversals -- FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification -- FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data -- Fusing Hand and Body Skeletons for Human Action Recognition in Assembly -- Gaze Behavior Patterns for Early Drowsiness Detection -- GH-QFL: Enhancing Industrial Defect Detection through Hard Example Mining -- HaarStyle:Revision Style Transfer Based on Multiple Resolutions -- Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media -- SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification -- Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection -- SWP:A Sliding Window Prompt for Emotion Recognition in Conversation -- VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios -- CFNet: Point Cloud Upsampling via Cascaded Feedback Network -- DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds -- Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis -- PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure -- Accurate detection of spiking motifs in multi-unit raster plots -- Context-dependent computations in spiking neural networks with apical modulation -- QMTS: Fixed-point quantization for multiple-timescale spiking neural networks -- Self-Organizing Temporally Coded Representation Learning -- A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot -- Clarifying the Half Full or Half Empty Question: Multimodal Container Classification -- CycleIK: Neuro-inspired Inverse Kinematics -- Robot at the mirror: learning to imitate via associating self-supervised models -- Approximation of Binary-Valued Functions by Networks of Finite VC Dimension -- Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures -- Improving Neural Network Verification Efficiency through Perturbation Refinement -- Relative intrinsic dimensionality is intrinsic to learning -- The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning -- Componentwise Adversarial Attacks -- Decorelated Weight Initialization by Backpropagation -- Exploring individuality in human EEG using reservoir computing -- Learning efficient backprojections across cortical hierarchies in real time -- Neural self-organization for muscle-driven robots -- Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization -- Reinforcement Learningwith Memory based Automatic Chunking for Complex Skill Acquisition -- Retinotopy improves the categorisation and localisation of visual objects in CNNs -- Safe Reinforcement Learning in a Simulated Robotic Arm.
520 ## - SUMMARY, ETC.
Summary, etc The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computing Milieux.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Iliadis, Lazaros.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Papaleonidas, Antonios.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Angelov, Plamen.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jayne, Chrisina.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031442063
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031442087
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 14254
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-44207-0">https://doi.org/10.1007/978-3-031-44207-0</a>
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Koha item type eBooks-CSE-Springer

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