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Advances in Computational Intelligence

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Cover of 'Advances in Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability
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    Chapter 2 Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting
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    Chapter 3 An Approach to Rain Detection Using Sobel Image Pre-processing and Convolutional Neuronal Networks
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    Chapter 4 On the Application of a Recurrent Neural Network for Rainfall Quantification Based on the Received Signal from Microwave Links
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    Chapter 5 Ambient Temperature Estimation Using WSN Links and Gaussian Process Regression
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    Chapter 6 Voice Command Recognition Using Statistical Signal Processing and SVM
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    Chapter 7 Enterprise System Response Time Prediction Using Non-stationary Function Approximations
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    Chapter 8 Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution
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    Chapter 9 Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis
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    Chapter 10 Use of Complex Networks for the Automatic Detection and the Diagnosis of Alzheimer’s Disease
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    Chapter 11 The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs
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    Chapter 12 DeepTrace: A Generic Framework for Time Series Forecasting
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    Chapter 13 Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks
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    Chapter 14 Anomaly Detection for Bivariate Signals
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    Chapter 15 A Scalable Long-Horizon Forecasting of Building Electricity Consumption
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    Chapter 16 Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection
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    Chapter 17 Automatic Time Series Forecasting with GRNN: A Comparison with Other Models
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    Chapter 18 Improving Online Handwriting Text/Non-text Classification Accuracy Under Condition of Stroke Context Absence
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    Chapter 19 Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN
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    Chapter 20 Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following
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    Chapter 21 Robust Echo State Network for Recursive System Identification
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    Chapter 22 Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting
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    Chapter 23 A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy
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    Chapter 24 Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection
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    Chapter 25 The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models
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    Chapter 26 A Neural Network for Stance Phase Detection in Smart Cane Users
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    Chapter 27 Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses
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    Chapter 28 RF-Based Human Activity Recognition: A Non-stationary Channel Model Incorporating the Impact of Phase Distortions
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    Chapter 29 Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest
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    Chapter 30 Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows
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    Chapter 31 Preliminary Results Using a P300 Brain-Computer Interface Speller: A Possible Interaction Effect Between Presentation Paradigm and Set of Stimuli
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    Chapter 32 Custom-Made Monitor for Easy High-Frequency SSVEP Stimulation
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    Chapter 33 A Comparison of cVEP-Based BCI-Performance Between Different Age Groups
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    Chapter 34 Remote Steering of a Mobile Robotic Car by Means of VR-Based SSVEP BCI
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    Chapter 35 A VR-Based Hybrid BCI Using SSVEP and Gesture Input
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    Chapter 36 Word Prediction Support Model for SSVEP-Based BCI Web Speller
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    Chapter 37 Is Stress State an Important Factor in the BCI-P300 Speller Performance?
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    Chapter 38 Echo State Networks with Artificial Astrocytes and Hebbian Connections
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    Chapter 39 Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure
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    Chapter 40 Richness of Deep Echo State Network Dynamics
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    Chapter 41 Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks
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    Chapter 42 Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights
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    Chapter 43 Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters
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    Chapter 44 Detector of Small Objects with Application to the License Plate Symbols
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    Chapter 45 Failure Diagnosis of Wind Turbine Bearing Using Feature Extraction and a Neuro-Fuzzy Inference System (ANFIS)
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    Chapter 46 OnMLM: An Online Formulation for the Minimal Learning Machine
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    Chapter 47 Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off
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    Chapter 48 Some Insights and Observations on Depth Issues in Deep Learning Networks
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    Chapter 49 Multi-input CNN for Text Classification in Commercial Scenarios
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    Chapter 50 Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments
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    Chapter 51 Document Model with Attention Bidirectional Recurrent Network for Gender Identification
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    Chapter 52 Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction
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    Chapter 53 Meeting Summarization, A Challenge for Deep Learning
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    Chapter 54 Semantic Fake News Detection: A Machine Learning Perspective
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    Chapter 55 Unsupervised Inflection Generation Using Neural Language Modelling
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    Chapter 56 AL 4 LA: Active Learning for Text Labeling Based on Paragraph Vectors
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    Chapter 57 On Transfer Learning for Detecting Abusive Language Online
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    Chapter 58 Security Testing for Multi-Agent Systems
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    Chapter 59 GPTSG: A Genetic Programming Test Suite Generator Using Information Theory Measures
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    Chapter 60 An Intelligent System Integrating CEP and Colored Petri Nets for Helping in Decision Making About Pollution Scenarios
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    Chapter 61 Using Genetic Algorithms to Generate Test Suites for FSMs
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    Chapter 62 Conformance Relations for Fuzzy Automata
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    Chapter 63 Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks
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    Chapter 64 SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset
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    Chapter 65 Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks
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    Chapter 66 A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume
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    Chapter 67 Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar
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    Chapter 68 Infering Air Quality from Traffic Data Using Transferable Neural Network Models
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    Chapter 69 Deep Learning Based Ship Movement Prediction System Architecture
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    Chapter 70 A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO 2 Level Estimations
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    Chapter 71 Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices
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    Chapter 72 Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis
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    Chapter 73 Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring
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    Chapter 74 A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders
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    Chapter 75 Dementia Detection and Classification from MRI Images Using Deep Neural Networks and Transfer Learning
Attention for Chapter 1: A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability
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Chapter title
A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability
Chapter number 1
Book title
Advances in Computational Intelligence
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-20521-8_1
Book ISBNs
978-3-03-020520-1, 978-3-03-020521-8

Arnaud Mignan, Marco Broccardo, Mignan, Arnaud, Broccardo, Marco

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X Demographics

The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Master 5 24%
Researcher 4 19%
Student > Doctoral Student 2 10%
Lecturer 1 5%
Other 0 0%
Unknown 4 19%
Readers by discipline Count As %
Earth and Planetary Sciences 6 29%
Computer Science 5 24%
Physics and Astronomy 2 10%
Engineering 2 10%
Neuroscience 1 5%
Other 1 5%
Unknown 4 19%