Progresses in Artificial Intelligence and Neural Systems 1st Edition by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero – Ebook PDF Instant Download/Delivery: 9789811550928, 9811550921
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Product details:
ISBN 10: 9811550921
ISBN 13: 9789811550928
Author: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction.
At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.
The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.
Table of contents:
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Towards Socially and Emotionally Believable ICT Interfaces
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The Simplification Conspiracy
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Passengers’ Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles
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Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation
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Emotional Content Comparison in Speech Signal Using Feature Embedding
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Efficient Data Augmentation Using Graph Imputation Neural Networks
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Flexible Generative Adversarial Networks with Non-parametric Activation Functions
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Low-Power Hardware Accelerator for Sparse Matrix Convolution in Deep Neural Network
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Use of Deep Learning for Automatic Detection of Cracks in Tunnels
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SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials
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Intent Classification in Question-Answering Using LSTM Architectures
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A Novel Proof-of-Concept Framework for the Exploitation of ConvNets on Whole Slide Images
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An Analysis of Word2Vec for the Italian Language
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On the Role of Time in Learning
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Preliminary Experiments on Thermal Emissivity Adjustment for Face Images
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Psychological Stress Detection by 2D and 3D Facial Image Processing
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Unsupervised Geochemical Analysis of the Eruptive Products of Ischia, Vesuvius and Campi Flegrei
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A Novel System for Multi-level Crohn’s Disease Classification and Grading Based on a Multiclass Support Vector Machine
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Preliminary Study on the Behavioral Traits Obtained from Signatures and Writing Using Deep Learning Algorithms
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An Ensemble Based Classification Approach for Persian Sentiment Analysis
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Insects Image Classification Through Deep Convolutional Neural Networks
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A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers
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Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting
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Discovering Hierarchical Neural Archetype Sets
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1-D Convolutional Neural Network for ECG Arrhythmia Classification
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Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition
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Exploration and Exploitation in Optimizing a Basic Financial Trading System: A Comparison Between FA and PSO Algorithms
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SDOWA: A New OWA Operator for Decision Making
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A Fuzzy Approach to Long-Term Care Benefit Eligibility; an Italian Case-Study
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On Fuzzy Confirmation Measures of Fuzzy Association Rules
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Q-Learning-Based Financial Trading: Some Results and Comparisons
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Financial Literacy and Generation Y: Relationships Between Instruction Level and Financial Choices
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A CNN Approach for Audio Classification in Construction Sites
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Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis
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Quaternion Widely Linear Forecasting of Air Quality
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Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface
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Spam Detection by Machine Learning-Based Content Analysis
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A Multimodal Deep Network for the Reconstruction of T2W MR Images
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Facial Emotion Recognition Skills and Measures in Children and Adolescents with Attention Deficit Hyperactivity Disorder (ADHD)
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The Effect of Facial Expressions on Interpersonal Space: A Gender Study in Immersive Virtual Reality
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Signals of Threat in Persons Exposed to Natural Disasters
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Adults Responses to Infant Faces and Cries: Consistency Between Explicit and Implicit Measures
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The Influence of Systemizing, Empathizing and Autistic Traits on Visuospatial Abilities
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Investigating Perceptions of Social Intelligence in Simulated Human-Chatbot Interactions
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Linguistic Evidence of Ageing in the Pratchett Canon
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M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD
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Computational Methods for the Assessment of Empathic Synchrony
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The Structuring of the Self Through Relational Patterns of Movement Using Data from the Microsoft Kinect 2 to Study Baby-Caregiver Interaction
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eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer’s Disease
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The Nodes of Treatment: A Pilot Study of the Patient-Therapist Relationship Through the Theory of Complex Systems
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Modal Structure and Altered States of Consciousness
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The Desiring Algorithm. The Sex Appeal of the Inorganic
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Tags: Anna Esposito, Marcos Faundez Zanuy, Francesco Carlo Morabito, Eros Pasero, Progresses, Artificial Intelligence, Neural Systems