Artificial Neural Networks and Machine Learning – ICANN 2024 (Record no. 63470)
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| fixed length control field | 07741nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-72335-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030113048.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031723353 |
| -- | 978-3-031-72335-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-72335-3 |
| 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 |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Neural Networks and Machine Learning – ICANN 2024 |
| Medium | [electronic resource] : |
| Remainder of title | 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part II / |
| Statement of responsibility, etc. | edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXXIV, 464 p. 145 illus., 141 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 | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume/sequential designation | 15017 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | -- Computer Vision: Classification. -- A WEAKLY SUPERVISED PART DETECTION METHOD FOR ROBUST FINE-GRAINED CLASSIFICATION. -- An Energy Sampling Replay-Based Continual Learning Framework. -- Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification. .-Multi-scale convolutional attention fuzzy broad network for few-shot hyperspectral image classification. -- Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification. -- Computer Vision: Object Detection. -- CIA-Net:Cross-modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. -- CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection. -- DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion. -- EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection. -- Global-Guided Weighted Enhancement for Salient Object Detection. -- KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. -- MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. -- One-Shot Object Detection with 4D-Correlation and 4D-Attention. -- Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation. .-SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-Supervised Cross-Domain Aerial Object Detection. -- Computer Vision: Security and Adversarial Attacks. -- BiFAT: Bilateral Filtering and Attention Mechanisms in a Two-Stream Model for Deepfake Detection. -- EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. -- Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-level Forgery Enhancement. -- Generative Universal Nullifying Perturbation for Countering Deepfakes through Combined Unsupervised Feature Aggregation. -- Noise-NeRF: Hide Information in Neural Radiance Field using Trainable Noise. -- Unconventional Face Adversarial Attack. Computer Vision: Image EnhancementComputer Vision: Image Enhancement. -- Computer Vision: Image Enhancement. -- A Study in Dataset Pruning for Image Super-Resolution. -- EDAFormer:Enhancing Low-Light Images with a Dual-Attention Transformer. -- Image Matting Based on Deep Equilibrium Models. -- Computer Vision: 3D Methods. -- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. -- Interactive Color Manipulation in NeRF: A Point Cloud and Palette-driven Approach. -- Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion using Transformer. -- SAM-NeRF: NeRF-based 3D Instance Segmentation with Segment Anything Model. -- Towards High-Accuracy Point Cloud Registration with Channel Self-Attention and Angle Invariance. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 65793 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 60157 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66530 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 65689 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wand, Michael. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0003-0966-7824 |
| -- | https://orcid.org/0000-0003-0966-7824 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 84501 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Malinovská, Kristína. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0001-7638-028X |
| -- | https://orcid.org/0000-0001-7638-028X |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 84502 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Schmidhuber, Jürgen. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-1468-6758 |
| -- | https://orcid.org/0000-0002-1468-6758 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 84503 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tetko, Igor V. |
| Relator term | editor. |
| Authority record control number | (orcid)0000-0002-6855-0012 |
| -- | https://orcid.org/0000-0002-6855-0012 |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 84504 |
| 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 | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031723346 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783031723360 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/sequential designation | 15017 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-72335-3">https://doi.org/10.1007/978-3-031-72335-3</a> |
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