Artificial Neural Networks and Machine Learning - ICANN 2021 (Record no. 85805)
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| fixed length control field | 08360nam a22006735i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-86365-4 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164622.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210910s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030863654 |
| -- | 978-3-030-86365-4 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-86365-4 |
| 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 III / |
| 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 | XXIV, 697 p. 220 illus., 204 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 | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Theoretical Computer Science and General Issues, |
| International Standard Serial Number | 2512-2029 ; |
| Volume/sequential designation | 12893 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Generative neural networks -- Binding and Perspective Taking as Inference in a Generative Neural Network Model -- Advances in Password Recovery using Generative Deep Learning Techniques -- o 0886 - Dilated Residual Aggregation Network for Text-guided Image Manipulation -- Denoising AutoEncoder based Delete and Generate Approach for Text Style Transfer -- GUIS2Code: A Computer Vision Tool to Generate Code Automatically from Graphical User Interface Sketches -- Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement -- Generative properties of Universal Bidirectional Activation-based Learning -- Graph neural networks I -- Joint Graph Contextualized Network for Sequential Recommendation -- Relevance-Aware Q-matrix Calibration for Knowledge Tracing -- LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering -- HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs -- An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks -- Multi-resolution Graph Neural Networks for PDE approximation -- Link Prediction on Knowledge Graph by Rotation Embedding on the Hyperplane in the Complex Vector Space -- Graph neural networks II -- Contextualise Entities and Relations: An Interaction Method for Knowledge Graph Completion -- Civil Unrest Event Forecasting Using Graphical and Sequential Neural Networks -- Parameterized Hypercomplex Graph Neural Networks for Graph Classification -- Feature Interaction Based Graph Convolutional Networks For Image-text Retrieval -- Generalizing Message Passing Neural Networks to Heterophily using Position Information -- Local and Non-local Context Graph Convolutional Networks for Skeleton-based Action Recognition.-STGATP: A Spatio-temporal Graph Attention Network for Long-term Traffic Prediction -- Hierarchical and ensemble models -- Integrating N-Gram Features into Pre-Trained Model: A Novel Ensemble Model for Multi-Target Stance Detection -- Hierarchical Ensemble for Multi-view Clustering -- Structure-Aware Multi-Scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition -- Learning Hierarchical Reasoning for Text-based Visual Question Answering -- Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation -- Adaptive Consensus-Based Ensemble for Improved Deep Learning Inference Cost -- Human pose estimation -- Multi-Branch Network for Small Human Pose Estimation -- PNO: Personalized Network Optimization for Human Pose and Shape Reconstruction -- JointPose: Jointly Optimizing Evolutionary Data Augmentation and Prediction Neural Network for 3D Human Pose Estimation -- DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation -- Image processing -- Subspace constraint for Single Image Super-Resolution -- Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation -- FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset -- Towards Measuring Bias in Image Classification -- Towards Image Retrieval with Noisy Labels via Non-deterministic Features -- Image segmentation -- Improving Visual Question Answering by Semantic Segmentation -- Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement -- ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation -- Depth Mapping Hybrid Deep Learning Method for Optic Disc and Cup Segmentation on Stereoscopic Ocular Fundus -- RATS: Robust Automated Tracking and Segmentation of Similar Instances -- Knowledge distillation -- Data Diversification Revisited: Why Does It Work? -- A Generalized Meta-Loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression -- Empirical Study of Data-Free Iterative Knowledge Distillation -- Adversarial Variational Knowledge Distillation -- Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation -- Medical image processing -- Semi-supervised Learning based Right Ventricle Segmentation Using Deep Convolutional Boltzmann Machine Shape Model -- Improved U-Net for Plaque Segmentation of Intracoronary Optical Coherence Tomography Images -- Approximated Masked Global Context Network for Skin Lesion Segmentation -- DSNet: Dynamic Selection Network for Biomedical Image Segmentation -- Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells -- Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph -- A Two-Branch Neural Network for Non-Small-Cell Lung Cancer Classification and Segmentation -- Uncertainty Quantification and Estimation in Medical Image Classification -- Labeling Chest X-Ray Reports Using Deep Learning. |
| 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 generative neural networks, graph neural networks, hierarchical and ensemble models, human pose estimation, image processing, image segmentation, knowledge distillation, and medical image 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. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 85388 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Application software. |
| 9 (RLIN) | 85390 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Education |
| General subdivision | Data processing. |
| 9 (RLIN) | 82607 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Pattern recognition systems. |
| 9 (RLIN) | 3953 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer engineering. |
| 9 (RLIN) | 10164 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer networks . |
| 9 (RLIN) | 31572 |
| 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 Vision. |
| 9 (RLIN) | 85392 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer and Information Systems Applications. |
| 9 (RLIN) | 85394 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers and Education. |
| 9 (RLIN) | 41129 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Automated Pattern Recognition. |
| 9 (RLIN) | 31568 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Engineering and Networks. |
| 9 (RLIN) | 85396 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Farkaš, Igor. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85397 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Masulli, Paolo. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85399 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Otte, Sebastian. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85400 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wermter, Stefan. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 85401 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 85404 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030863647 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030863661 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Theoretical Computer Science and General Issues, |
| International Standard Serial Number | 2512-2029 ; |
| Volume/sequential designation | 12893 |
| 9 (RLIN) | 85405 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-86365-4">https://doi.org/10.1007/978-3-030-86365-4</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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