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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

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    Book Overview
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    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 3: Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques
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Chapter title
Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques
Chapter number 3
Book title
Advances in Artificial Intelligence – IBERAMIA 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-22419-5_3
Book ISBNs
978-3-03-122418-8, 978-3-03-122419-5
Authors

Andrés Ayala-Cucas, Hermes, Mora-Piscal, Edison Alexander, Mayorca-Torres, Dagoberto, Peluffo-Ordoñez, Diego Hernán, León-Salas, Alejandro J.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Student > Bachelor 2 18%
Professor 1 9%
Researcher 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 2 18%
Unspecified 2 18%
Environmental Science 1 9%
Mathematics 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 4 36%

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