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Artificial Neural Networks and Machine Learning - ICANN 2023 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II
Title
Artificial Neural Networks and Machine Learning - ICANN 2023 [electronic resource] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne.
ISBN
9783031442100
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
XXXV, 595 p. 224 illus., 213 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
October 03, 2023
Series
Lecture Notes in Computer Science, 14255
Contents
A Data Augmentation based ViT for Fine-Grained Visual Classification
A Detail Geometry Learning Network for High-Fidelity Face Reconstruction
A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining
A Multi-Scale Method for Cell Segmentation in Fluorescence Microscopy Images
Adaptive interaction-based multi-view 3D object reconstruction
An auxiliary modality based Text-Image matching methodology for fake news detection
An Improved Lightweight YOLOv5 for Remote Sensing Images
An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection
ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images
Cascaded Network-based Single-View Bird 3D Reconstruction
CLASPPNet: A Cross-Layer Multi-Class Lane Semantic Segmentation Model Fused with Lane Detection Module
Classification-based and Lightweight Networks For Fast Image Super Resolution
CLN: Complementary Learning Network For 3D Face Reconstruction And Alignment
Combining Edge-guided Attention and Sparse-connected U-Net for Detection of Image Splicing
Contour-augmented Concept Prediction Network for image captioning
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Cross Classroom Domain Adaptive Object Detector for Student's Heads
Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models
DWA: Differential Wavelet Amplifier for Image Super-Resolution
Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
E-Patcher: A Patch-based Efficient Network for Fast Whole Slide Images Segmentation
Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality
Extraction Method of Rotated Objects from High-resolution Remote Sensing Images
Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation
Ga-RFR: Recurrent Feature Reasoning with gated convolution for Chinese Inscriptions Image Inpainting
Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples
Image Caption with Prior Knowledge Graph and Heterogeneous Attention
Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network
Improving Image Captioning with Feature Filtering and Injection
In silico study of single synapse dynamics using a three-state kinetic model
Interpretable Image Recognition by Screening Class-specific and Class-shared Prototypes
Joint Edge-guided and Spectral Transformation Network for Self-Supervised X-ray Image Restoration
Lightweight Human Pose Estimation Based On Densely Guided Self-Knowledge Distillation
MCAPR: Multi-Modality Cross Attention for Camera Absolute Pose Regression
MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision
Medical Image Segmentation and Saliency Detection through a Novel Color Contextual Extractor
MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images
Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks
Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking
Multi-scale field distillation for multi-task semantic segmentation
Neural Field Conditioning Strategies for 2D Semantic Segmentation
Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis
Pie-UNet: A novel Parallel Interaction Encoder for Medical Image Segmentation
Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images
PSR-Net A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images.
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