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Intelligent Systems

Overview of attention for book
Cover of 'Intelligent Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News
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    Chapter 2 Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques
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    Chapter 3 De-Identification of Clinical Notes Using Contextualized Language Models and a Token Classifier
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    Chapter 4 Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach
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    Chapter 5 Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation
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    Chapter 6 Ensemble of Protein Stability upon Point Mutation Predictors
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    Chapter 7 Ethics of AI: Do the Face Detection Models Act with Prejudice?
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    Chapter 8 Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputies
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    Chapter 9 Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
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    Chapter 10 Experiments on Portuguese Clinical Question Answering
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    Chapter 11 Long-Term Map Maintenance in Complex Environments
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    Chapter 12 Supervised Training of a Simple Digital Assistant for a Free Crop Clinic
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    Chapter 13 The Future of AI: Neat or Scruffy?
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    Chapter 14 Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
  16. Altmetric Badge
    Chapter 15 Code Autocomplete Using Transformers
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    Chapter 16 Deep Convolutional Features for Fingerprint Indexing
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    Chapter 17 How to Generate Synthetic Paintings to Improve Art Style Classification
  19. Altmetric Badge
    Chapter 18 Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought
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    Chapter 19 Performance Analysis of YOLOv3 for Real-Time Detection of Pests in Soybeans
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    Chapter 20 Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
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    Chapter 21 Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions
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    Chapter 22 Time-Dependent Item Embeddings for Collaborative Filtering
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    Chapter 23 Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network
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    Chapter 24 A Deep Learning Approach for Aspect Sentiment Triplet Extraction in Portuguese
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    Chapter 25 Aggressive Language Detection Using VGCN-BERT for Spanish Texts
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    Chapter 26 An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese
  28. Altmetric Badge
    Chapter 27 Comparing Contextual Embeddings for Semantic Textual Similarity in Portuguese
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    Chapter 28 Deep Active-Self Learning Applied to Named Entity Recognition
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    Chapter 29 DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment
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    Chapter 30 Enriching Portuguese Word Embeddings with Visual Information
  32. Altmetric Badge
    Chapter 31 Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence Based on BERT
  33. Altmetric Badge
    Chapter 32 Experiments on Kaldi-Based Forced Phonetic Alignment for Brazilian Portuguese
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    Chapter 33 Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness
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    Chapter 34 Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language
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    Chapter 35 mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer
  37. Altmetric Badge
    Chapter 36 Named Entity Recognition for Brazilian Portuguese Product Titles
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    Chapter 37 Portuguese Neural Text Simplification Using Machine Translation
  39. Altmetric Badge
    Chapter 38 Rhetorical Role Identification for Portuguese Legal Documents
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    Chapter 39 Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
  41. Altmetric Badge
    Chapter 40 Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts
  42. Altmetric Badge
    Chapter 41 Universal Dependencies-Based PoS Tagging Refinement Through Linguistic Resources
  43. Altmetric Badge
    Chapter 42 When External Knowledge Does Not Aggregate in Named Entity Recognition
Attention for Chapter 20: Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Chapter title
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
Chapter number 20
Book title
Intelligent Systems
Published in
arXiv, November 2021
DOI 10.1007/978-3-030-91699-2_20
Book ISBNs
978-3-03-091698-5, 978-3-03-091699-2
Authors

Granero, Marco Aurélio, Hernández, Cristhian Xavier, Valle, Marcos Eduardo, Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Lecturer 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 3 30%
Mathematics 1 10%
Unspecified 1 10%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 December 2021.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#243,576
of 506,795 outputs
Outputs of similar age from arXiv
#8,939
of 34,195 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 has gotten more attention than average, scoring higher than 71% of its peers.
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 506,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 34,195 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 70% of its contemporaries.

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