Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E. (eds.) Neural Approaches to Dynamics of Signal Exchanges

Singapore: Springer, 2020. — 523 p.The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.Some Note on Artificial IntelligenceMusic Genre Classification Using Stacked Auto-Encoders
Linear Artificial Forces for Human Dynamics in Complex Contexts
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection
Italian Text Categorization with Lemmatization and Support Vector Machines
SOM-Based Analysis of Volcanic Rocks: An Application to Somma–Vesuvius and Campi Flegrei Volcanoes (Italy)
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach
An Effective Fuzzy Recommender System for Fund-raising Management
Reconstruction, Optimization and Quality Check of Microsoft HoloLens-Acquired 3D Point Clouds
The “Probabilistic Rand Index”: A Look from Some Different Perspectives
Dimension Reduction Techniques in a Brain–Computer Interface Application
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario
A Comparison of Apache Spark Supervised Machine Learning Algorithms for DNA Splicing Site Prediction
Recurrent ANNs for Failure Predictions on Large Datasets of Italian SMEs
Inverse Classification for Military Decision Support Systems
Simultaneous Learning of Fuzzy Sets
Trees in the Real Field
Graded Possibilistic Meta Clustering
Probing a Deep Neural Network
Neural Epistemology in Dynamical System Learning
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction MachinesA Neural Based Comparative Analysis for Feature Extraction from ECG Signals
A Multi-modal Tool Suite for Parkinson’s Disease Evaluation and Grading
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study
Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain
Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection
DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters
Evaluation of a Support Vector Machine Based Method for Crohn’s Disease ClassificationSeniors’ Appreciation of Humanoid Robots
The Influence of Personality Traits on the Measure of Restorativeness in an Urban Park: A Multisensory Immersive Virtual Reality Study
Linguistic Repetition in Three-Party Conversations
An Experiment on How Naïve People Evaluate Interruptions as Effective, Unpleasant and Influential
Analyzing Likert Scale Inter-annotator Disagreement
PySiology: A Python Package for Physiological Feature Extraction
Effect of Sensor Density on eLORETA Source Localization Accuracy
To the Roots of the Sense of Self: Proposals for a Study on the Emergence of Body Awareness in Early Infancy Through a Deep Learning Method
Performance of Articulation Kinetic Distributions Vs MFCCs in Parkinson’s Detection from Vowel Utterances
From “Mind and Body” to “Mind in Body”: A Research Approach for a Description of Personality as a Functional Unit of Thoughts, Behaviours and Affective States
Online Handwriting and Signature Normalization and Fusion in a Biometric Security Application
Data Insights and Classification in Multi-sensor Database for Cervical Injury
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals
Preliminary Study on Biometric Recognition Based on Drawing Tasks
Exploring the Relationship Between Attention and Awareness. Neurophenomenology of the Centroencephalic Space of Functional Integration
Decision-Making Styles in an Evolutionary Perspective
The Unaware Brain: The Role of the Interconnected Modal Matrices in the Centrencephalic Space of Functional Integration