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Pattern Recognition and Artificial Intelligence

Overview of attention for book
Cover of 'Pattern Recognition and Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 PE-former: Pose Estimation Transformer
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    Chapter 2 ConDense: Multiple Additional Dense Layers with Fine-Grained Fully-Connected Layer Optimisation for Fingerprint Recognition
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    Chapter 3 A Sensor-Independent Multimodal Fusion Scheme for Human Activity Recognition
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    Chapter 4 Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model
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    Chapter 5 Application of A $$^*$$ ∗ to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings
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    Chapter 6 Robot Path Planning Method Based on Improved Grey Wolf Optimizer
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    Chapter 7 Space-Time Memory Networks for Multi-person Skeleton Body Part Detection
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    Chapter 8 Lip-Based Identification Using YOLOR
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    Chapter 9 Parallel $$\mathcal{O}(log(n))$$ O ( l o g ( n ) ) Computation of the Adjacency of Connected Components
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    Chapter 10 Encoding Sensors’ Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment
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    Chapter 11 Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics
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    Chapter 12 Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks
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    Chapter 13 The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
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    Chapter 14 Robust Detection of Conversational Groups Using a Voting Scheme and a Memory Process
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    Chapter 15 Fusing AutoML Models: A Case Study in Medical Image Classification
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    Chapter 16 Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow
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    Chapter 17 Towards Automated Monitoring of Parkinson’s Disease Following Drug Treatment
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    Chapter 18 A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification
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    Chapter 19 TS-QUAD: A Smaller Elastic Ensemble for Time Series Classification with No Reduction in Accuracy
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    Chapter 20 Shop Signboards Detection Using the ShoS Dataset
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    Chapter 21 One-Shot Decoupled Face Reenactment with Vision Transformer
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    Chapter 22 ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
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    Chapter 23 Deep Reinforcement Learning for Autonomous Navigation in Robotic Wheelchairs
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    Chapter 24 Understanding Individual Neurons of ResNet Through Improved Compositional Formulas
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    Chapter 25 Visual Transformer-Based Models: A Survey
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    Chapter 26 Stochastic Pairing for Contrastive Anomaly Detection on Time Series
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    Chapter 27 Visual Radial Basis Q-Network
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    Chapter 28 GANs Based Conditional Aerial Images Generation for Imbalanced Learning
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    Chapter 29 Augment Small Training Sets Using Matching-Graphs
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    Chapter 30 Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data
  32. Altmetric Badge
    Chapter 31 Malware Detection Using Pseudo Semi-Supervised Learning
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    Chapter 32 Temporal Disaggregation of the Cumulative Grass Growth
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    Chapter 33 Extraction of Entities in Health Domain Documents Using Recurrent Neural Networks
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    Chapter 34 An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs
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    Chapter 35 Explaining Image Classifications with Near Misses, Near Hits and Prototypes
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    Chapter 36 Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams
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    Chapter 37 Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet
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    Chapter 38 Improving Drift Detection by Monitoring Shapley Loss Values
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    Chapter 39 Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification
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    Chapter 40 DRN: Detection and Removal of Noisy Instances with Self Organizing Map
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    Chapter 41 Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring
  43. Altmetric Badge
    Chapter 42 A Deep Learning Approach to Detect Ventilatory Over-Assistance
Attention for Chapter 32: Temporal Disaggregation of the Cumulative Grass Growth
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Chapter title
Temporal Disaggregation of the Cumulative Grass Growth
Chapter number 32
Book title
Pattern Recognition and Artificial Intelligence
Published in
arXiv, December 2022
DOI 10.1007/978-3-031-09282-4_32
Book ISBNs
978-3-03-109281-7, 978-3-03-109282-4
Authors

Thomas Guyet, Laurent Spillemaecker, Simon Malinowski, Anne-Isabelle Graux, Guyet, Thomas, Spillemaecker, Laurent, Malinowski, Simon, Graux, Anne-Isabelle

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2022.
All research outputs
#18,912,355
of 24,093,053 outputs
Outputs from arXiv
#476,986
of 1,018,817 outputs
Outputs of similar age
#306,111
of 444,919 outputs
Outputs of similar age from arXiv
#15,120
of 36,987 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 444,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36,987 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.