Applications of Artificial Intelligence and Neural Systems to Data Science

Chapter 1 Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture

Chapter 2 Graph Neural Networks for Topological Feature Extraction in ECG Classification

Chapter 3 Manifold Learning by a Deep Gaussian Process Variational Autoencoder

Chapter 4 Analysis of Sensors for Movement Analysis

Chapter 5 Dual Deep Clustering

Chapter 6 Learning-Based Approach to Predict Fatal Events in Brugada Syndrome

Chapter 7 Breast Cancer Localization and Classification in Mammograms Using YoloV5

Chapter 8 Deep Acoustic Emission Detection Trained on Seismic Signals

Chapter 9 A Deep Learning Framework for the Classification of Pre-prodromal and Prodromal Alzheimer’s Disease Using Resting-State EEG Signals

Chapter 10 Imitation Learning Through Prior Injection in Markov Decision Processes

Chapter 11 Vision-Based Human Activity Recognition Methods Using Pose Estimation

Chapter 12 Identifying Exoplanets in TESS Data by Deep Learning

Chapter 13 Computational Intelligence for Marine Litter Recovery

Chapter 14 A Synthetic Dataset for Learning Optical Flow in Underwater Environment

Chapter 15 BERT Classifies SARS-CoV-2 Variants

Chapter 16 Competence-Based Coalition Choice, a Non-additive Approach

Chapter 17 Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data

Chapter 18 Leaky Echo State Network for Audio Classification in Construction Sites

Chapter 19 ECG Signal Classification Using Long Short-Term Memory Neural Networks

Chapter 20 A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings

Chapter 21 Commerce Districts: Conditions for Customer Overall Satisfaction in a Multi-attribute Framework

Chapter 22 Problematic Merging and Cartels: A Collusion Risk Factors Analysis

Chapter 23 Conversational Ontologies for Human–Machine Interaction: Application for Cultural Heritage

Chapter 24 On Statistical Prediction of Geometric Features of Three-Dimensional Configurations of Proteins I: Theoretical Description of an Inference Method

Chapter 25 Emotion Recognition in Preschool Children: The Role of Age, Gender and Emotional Categories

Chapter 26 A Multilevel Approach on the Investigation of the Association Between Responses to Infant Cues and Caregiving Propensity

Chapter 27 What Would Happen if Hackers Attacked the Railways? Consideration of the Need for Ethical Codes in the Railway Transport Systems

Chapter 28 Home Automation and Applied Behavior Analysis: Mand’s Development in the Natural Environment

Chapter 29 The Role of HEXACO Personality Traits on Predicting Problematic and Risky Behaviors in Adolescents

Chapter 30 Evolving Aggregation Behaviors in Swarms from an Evolutionary Algorithms Point of View

Chapter 31 A Review of the Use of Neural Models of Language and Conversation to Support Mental Health

Chapter 32 Generative Adversarial Networks in Federated Learning

Chapter 33 Identifying Key Physical and Natural Environmental Correlates of Child Development: An Exploratory Study Using Machine Learning on Data from Pakistan