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Advances in Artificial Intelligence – IBERAMIA 2022

Overview of attention for book
Advances in Artificial Intelligence – IBERAMIA 2022
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease Diagnosis
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    Chapter 2 Forroset: A Multipurpose Dataset of Brazilian Forró Music
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    Chapter 3 Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques
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    Chapter 4 Learning Automata Using Dimensional Reduction
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    Chapter 5 Modelling Urban Traffic Configuration with the Influence of Human Factors
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    Chapter 6 Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent
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    Chapter 7 Optimal Architecture Discovery for Physics-Informed Neural Networks
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    Chapter 8 An AI–Based Approach for Failure Prediction in Transmission Lines Components
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    Chapter 9 Crowdsensing on Smart Cities: A Systematic Review
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    Chapter 10 Sentiment Gradient, An Enhancement to the Truth, Lies and Sarcasm Detection
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    Chapter 11 Selection of Acoustic Features for the Discrimination Between Highly and Moderately Transformed Colombian Soundscapes
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    Chapter 12 A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach
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    Chapter 13 Evolving Node Embeddings for Dynamic Exploration of Network Topologies
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    Chapter 14 Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
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    Chapter 15 A Novel Methodology for Engine Diagnosis Based on Multiscale Permutation Entropy and Machine Learning Using Non-intrusive Data
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    Chapter 16 Markers of Exposure to the Colombian Armed Conflict: A Machine Learning Approach
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    Chapter 17 Model Compression for Deep Reinforcement Learning Through Mutual Information
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    Chapter 18 Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
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    Chapter 19 Insights from Deep Learning in Feature Extraction for Non-supervised Multi-species Identification in Soundscapes
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    Chapter 20 Evaluation of Transfer Learning to Improve Arrhythmia Classification for a Small ECG Database
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    Chapter 21 A General Recipe for Automated Machine Learning in Practice
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    Chapter 22 Semi-supervised Hierarchical Classification Based on Local Information
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    Chapter 23 The Impact of Allostatic Load on Machine Learning Models
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    Chapter 24 Antonymy-Synonymy Discrimination in Spanish with a Parasiamese Network
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    Chapter 25 LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation
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    Chapter 26 TSPNet-HF: A Hand/Face TSPNet Method for Sign Language Translation
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    Chapter 27 Phonetic Speech Segmentation of Audiobooks by Using Adapted LSTM-Based Acoustic Models
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    Chapter 28 Depth Estimation from a Single Image Using Line Segments only
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    Chapter 29 Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images
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    Chapter 30 Where Are the Gates: Discovering Effective Waypoints for Autonomous Drone Racing
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    Chapter 31 Probabilistic Logic Markov Decision Processes for Modeling Driving Behaviors in Self-driving Cars
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    Chapter 32 Design of E. coli Growth Simulator Using Multi-agent System
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    Chapter 33 Quantitative Models for Forecasting Demand for Perishable Products: A Systematic Review
Attention for Chapter 29: Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images
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Chapter title
Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images
Chapter number 29
Book title
Advances in Artificial Intelligence – IBERAMIA 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-22419-5_29
Book ISBNs
978-3-03-122418-8, 978-3-03-122419-5
Authors

Mejia-Zuluaga, Rafael, Aguirre-Arango, Juan Carlos, Collazos-Huertas, Diego, Daza-Castillo, Jessica, Valencia-Marulanda, Néstor, Calderón-Marulanda, Mauricio, Aguirre-Ospina, Óscar, Alvarez-Meza, Andrés, Castellanos-Dominguez, Germán

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unspecified 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%

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