Intro
Preface
Contents
Analytics-Oriented Applications
Recursive Multi-step Time-Series Forecasting for Residual-Feedback Artificial Neural Networks: A Survey
1 Introduction
2 Residual-Feedback ANNs: A Systematic Review
2.1 Systematic Review Planning and Execution
2.2 Overview of the Systematic Review Findings
3 The Existing Recursive Multi-step Forecast Strategy Solution
4 Limitation
5 Conclusions and Future Works
References
Feature Selection: Traditional and Wrapping Techniques with Tabu Search
1 Introduction
2 Related Work
3 Methodology

3.1 Data Description
3.2 Entropy-Based Feature Selection
3.3 Feature Selection Using Principal Component Analysis
3.4 Correlation-Based Feature Selection
4 Tabu Search
4.1 Initial Solution
4.2 Neighborhood
4.3 Objective Function
4.4 Memory Structures
5 Results
6 Discussion
7 Conclusions and Future Work
References
Pattern Classification with Holographic Neural Networks: A New Tool for Feature Selection
1 Introduction
2 Holographic Neural Networks
2.1 Basic Theory
2.2 Learning and Prediction Methods

2.3 red Explainability and Optimization of Holographic Models
3 Feature Selection with Holographic Neural Neworks
3.1 Previous Works
3.2 Pythagorean Membership Grades
4 Pattern Classification
4.1 Iris Dataset
4.2 red NIPS Feature Selection Challenge
5 red Conclusions and Future Works
References
Reusability Analysis of K-Nearest Neighbors Variants for Classification Models
1 Introduction
2 The K-Nearest Neighbors Algorithm
3 The Parameter K
4 Closeness Metrics
5 Analysis of KNN Variants
5.1 Heuristics for Class Assignment

5.2 Reduction of Dataset Records
5.3 Estimation of Dataset Variables
5.4 Discussion
6 Conclusions
References
Speech Emotion Recognition Using Deep CNNs Trained on Log-Frequency Spectrograms
1 Introduction
2 Literature Survey
2.1 Motivation
2.2 Contributions
3 Proposed Methodology
3.1 Data Augmentation
3.2 Extraction of Log-Frequency Spectrograms
3.3 Motivation Behind Using Spectrograms
3.4 Log-Frequency Spectrogram Extraction
3.5 Understanding What a Spectrogram Conveys
4 The Deep Convolutional Neural Network
4.1 Architecture
4.2 Training

5 Observations
5.1 Dataset Used
5.2 Performance Metrics Used
5.3 Results Obtained
5.4 Comparison Study
6 Conclusion
References
Text Classifier of Sensationalist Headlines in Spanish Using BERT-Based Models
1 Introduction
2 Background
2.1 Sensationalism
2.2 BERT-Based Models
3 Related Work
4 Dataset and Methods
4.1 Data Gathering and Data Labeling
4.2 Data Analysis
4.3 Model Generation and Fine-Tuning
5 Results
6 Conclusion
References
Arabic Question-Answering System Based on Deep Learning Models
1 Introduction