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Artificial Neural Networks and Machine Learning – ICANN 2023

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Cover of 'Artificial Neural Networks and Machine Learning – ICANN 2023'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Shallow Information Enhanced Efficient Small Object Detector Based on YOLOv5
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    Chapter 2 Adaptive Dehazing YOLO for Object Detection
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    Chapter 3 Adaptive Training Strategies for Small Object Detection Using Anchor-Based Detectors
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    Chapter 4 Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection
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    Chapter 5 Dual Attention Feature Fusion for Visible-Infrared Object Detection
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    Chapter 6 Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
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    Chapter 7 Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting
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    Chapter 8 GaitFusion: Exploring the Fusion of Silhouettes and Optical Flow for Gait Recognition
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    Chapter 9 Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection
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    Chapter 10 IMAM: Incorporating Multiple Attention Mechanisms for 3D Object Detection from Point Cloud
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    Chapter 11 LGF $$^2$$ 2 : Local and Global Feature Fusion for Text-Guided Object Detection
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    Chapter 12 MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
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    Chapter 13 Object Detection in Foggy Images with Transmission Map Guidance
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    Chapter 14 PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
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    Chapter 15 Region Feature Disentanglement for Domain Adaptive Object Detection
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    Chapter 16 ROFusion: Efficient Object Detection Using Hybrid Point-Wise Radar-Optical Fusion
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    Chapter 17 SDGC-YOLOv5: A More Accurate Model for Small Object Detection
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    Chapter 18 The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
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    Chapter 19 Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
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    Chapter 20 Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer
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    Chapter 21 X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
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    Chapter 22 Aggregate Distillation for Top- K Recommender System
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    Chapter 23 Candidate-Aware Dynamic Representation for News Recommendation
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    Chapter 24 Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation
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    Chapter 25 Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
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    Chapter 26 Incremental Recommendation Algorithm Based on the Influence Propagation Model
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    Chapter 27 Scenic Spot Recommendation Method Integrating Knowledge Graph and Distance Cost
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    Chapter 28 A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection
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    Chapter 29 Adaptive Token Excitation with Negative Selection for Video-Text Retrieval
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    Chapter 30 Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
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    Chapter 31 Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
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    Chapter 32 Correction while Recognition: Combining Pretrained Language Model for Taiwan-Accented Speech Recognition
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    Chapter 33 Cross-Camera Prototype Learning for Intra-camera Supervised Person Re-identification
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    Chapter 34 ECDet: A Real-Time Vehicle Detection Network for CPU-Only Devices
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    Chapter 35 Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering
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    Chapter 36 Learning Video Localization on Segment-Level Video Copy Detection with Transformer
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    Chapter 37 Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
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    Chapter 38 MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate
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    Chapter 39 OWS-Seg: Online Weakly Supervised Video Instance Segmentation via Contrastive Learning
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    Chapter 40 Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition
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    Chapter 41 Self-supervised Video Object Segmentation Using Motion Feature Compensation
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    Chapter 42 Space-Time Video Super-Resolution Based on Long-Term Time Dependence
Attention for Chapter 18: The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
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Chapter title
The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
Chapter number 18
Book title
Artificial Neural Networks and Machine Learning – ICANN 2023
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-44195-0_18
Book ISBNs
978-3-03-144194-3, 978-3-03-144195-0

Azizah, Resfyanti Nur, Ravienna, Karine, Puspa, Lyra, Akbar, Yudiansyah, Valenza, Lula Kania, Suwandi, Galih Restu Fardian, Khotimah, Siti Nurul, Haekal, Mohammad

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%