Artificial Neural Networks and Machine Learning - ICANN 2021 (Record no. 86250)
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| fixed length control field | 07530nam a22006375i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-86340-1 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730165324.0 |
| 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 | 9783030863401 |
| -- | 978-3-030-86340-1 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-86340-1 |
| 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 II / |
| 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, 651 p. 229 illus., 219 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 | 12892 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Computer vision and object detection -- Selective Multi-Scale Learning for Object Detection -- DRENet: Giving Full Scope to Detection and Regression-based Estimation for Video Crowd Counting -- Sisfrutos Papaya: a Dataset for Detection and Classification of Diseases in Papaya -- Faster-LTN: a neuro-symbolic, end-to-end object detection architecture -- GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting -- Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a single depth view -- Facial Expression Recognition by Expression-Specific Representation Swapping -- Iterative Error Removal for Time-of-Flight Depth Imaging -- Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware Approach -- Learning How to Zoom in: Weakly Supervised ROI-based-DAM for Fine-Grained Visual Classification -- Convolutional neural networks and kernel methods -- (Input) Size Matters for CNN Classifiers -- Accelerating Depthwise Separable Convolutions with Vector Processor -- KCNet: Kernel-based Canonicalization Network for entities in Recruitment Domain -- Deep Unitary Convolutional Neural Networks -- Deep learning and optimization I -- DPWTE: A Deep Learning Approach to Survival Analysis using a Parsimonious Mixture of Weibull Distributions -- First-order and second-order variants of the gradient descent in a unified framework -- Bayesian optimization for backpropagation in Monte-Carlo tree search -- Growing Neural Networks Achieve Flatter Minima -- Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks -- Curved SDE-Net Leads to Better Generalization for Uncertainty Estimates of DNNs -- EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance -- Deep learning and optimization II -- Why Mixup Improves the Model Performance -- Mixup gamblers: Learning to abstain with auto-calibrated reward for mixed samples -- Non-Iterative Phase Retrieval With Cascaded Neural Networks -- Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training -- MMF: A loss extension for feature learning in open set recognition -- On the selection of loss functions under known weak label models -- Distributed and continual learning -- Bilevel Online Deep Learning in Non-stationary Environment -- A Blockchain Based Decentralized Gradient Aggregation Design for Federated Learning -- Continual Learning for Fake News Detection from Social Media -- Balanced Softmax Cross-Entropy for Incremental Learning -- Generalised Controller Design using Continual Learning -- DRILL: Dynamic Representations for Imbalanced Lifelong Learning -- Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning -- Explainable methods -- Spontaneous Symmetry Breaking in Data Visualization -- Deep NLP Explainer: Using Prediction Slope To Explain NLP Models -- Empirically explaining SGD from a line search perspective -- Towards Ontologically Explainable Classifiers -- Few-shot learning -- Leveraging the Feature Distribution in Transfer-based Few-Shot Learning -- One-Shot Meta-Learning for Radar-Based Gesture Sequences Recognition -- Few-Shot Learning With Random Erasing and Task-Relevant Feature Transforming -- Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge -- Better Few-shot Text Classification with Pre-trained Language Model -- Generative adversarial networks -- Leveraging GANs via Non-local Features -- On Mode Collapse in Generative Adversarial Networks -- Image Inpainting Using Wasserstein Generative Adversarial Imputation Network -- COViT-GAN: Vision Transformer for COVID-19 Detection in CT Scan Images with Self-Attention GAN for Data Augmentation -- PhonicsGAN: Synthesizing Graphical Videos from Phonics Songs -- A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch -- Hybrid Generative Models for Two-Dimensional Datasets -- Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling -- . |
| 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 computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *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 engineering. |
| 9 (RLIN) | 10164 |
| 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) | 88431 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 88432 |
| 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 Engineering and Networks. |
| 9 (RLIN) | 88434 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer and Information Systems Applications. |
| 9 (RLIN) | 88435 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Engineering and Networks. |
| 9 (RLIN) | 88434 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Vision. |
| 9 (RLIN) | 88438 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Farkaš, Igor. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 88440 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Masulli, Paolo. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 88442 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Otte, Sebastian. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 88443 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wermter, Stefan. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 88444 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 88448 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030863395 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030863418 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Theoretical Computer Science and General Issues, |
| International Standard Serial Number | 2512-2029 ; |
| Volume/sequential designation | 12892 |
| 9 (RLIN) | 88449 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-86340-1">https://doi.org/10.1007/978-3-030-86340-1</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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