Bassis S., Esposito A., Morabito F.C., Pasero E. (eds.) Advances in Neural Networks. Computational Intelligence for ICT

Springer, 2016. — 525 p.Advances in Neural Networks: Computational and Theoretical Issues is a book series dedicated to recent advances in computational and theoretical issues of artificial intelligence methods. Special attention is reserved to information communication technologies (ICT) applications that are of public utility and profitable for a living science that simplify user access to future, remote and nearby social services. In particular, avatars replacing human in high-responsibility tasks, companion agents for elderly and impaired people, robots interacting with humans in extreme, stressful time-critical conditions, wearable sensors and apps for clinical applications. In addition, new mathematical models for representing data, reasoning, learning and interacting are considered as well as new psychological and computational approaches from existing cognitive frameworks and algorithmic solutions. Any book edition will select new topics that report progresses towards the implementation of automaton human levels of intelligence, crucial for developing believable and trustable HCI systems that enhance the end user’s quality of life. The content of the book is organized in sections and in each edition new topics are afforded and discussed on the basis of their contribution in the conception of new ICT functionalities and evaluation methods for modelling the concepts of learning, reasoning, interaction and data interpretation. Each edition of the book is related to a long running international conference, International Workshop on Neural Networks (WIRN, currently at the 25th edition), where researchers contributing to the book meet each year to propose new topics, advances and applications in the field of neural networks, machine learning and artificial intelligence.Part I Introductory Chapter
Some Notes on Computational and Theoretical Issues in Artificial Intelligence and Machine Learning
Part II Machine Learning
Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique
Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction
3-D Hand Pose Estimation from Kinect’s Point Cloud Using Appearance Matching
Frequency-Domain Adaptive Filtering in Hypercomplex Systems
Bayesian Clustering on Images with Factor Graphs in Reduced Normal Form
Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques
Recent Advances on Distributed Unsupervised Learning
A Rule Based Recommender System
Learning from Nowhere
Model Complexity Control in Clustering
Part III Artificial Neural Networks: Algorithms and Models
Using Neural Networks for the Recognition of Specific Motion Symptoms of the Parkinson’s Disease
Benchmarking Functional Link Expansions for Audio Classification Tasks
A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks
Spatial-Temporal Entangled Sparse Distributed Storage (STE-SDS) and Sparse Distributed Code (SDC) in the Systolic Hebb Agnostic Resonance Perceptron (SHARP) Proposed as Hypothetical Model Linking Mini and Macro-Column Scale Functionality in the Cerebral Cortex
Łukasiewicz Equivalent Neural Networks
A Bayesian-Based Neural Network Model for Solar Photovoltaic Power Forecasting
Strict Pyramidal Deep Architectures for Person Re-identification
Part IV Computational Intelligence Methods for Biomedical ICT in Neurological Diseases
A Pilot Study on the Decoding of Dynamic Emotional Expressions in Major Depressive Disorder
Anna Esposito, Filomena Scibelli and Alessandro Vinciarelli
Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis
Improving Functional Link Neural Network Learning Scheme for Mammographic Classification
Quantifying the Complexity of Epileptic EEG
What Relatives and Caregivers of Children with Type 1 Diabetes Talk About: Preliminary Results from a Computerized Text Analysis of Messages Posted on the Italian Facebook Diabetes Group
A New ICT Based Model for Wellness and Health Care
The Implicit and Explicit Attitudes Predict Electoral Decision-Making in 2008 Italian Political Campaign
Internet Dependence in High School Student
Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks
Sparse fNIRS Feature Estimation via Unsupervised Learning for Mental Workload Classification
Analyzing Correlations Between Personality Disorders and Frontal Functions: A Pilot Study
Processing Bio-medical Data with Class-Dependent Feature Selection
LQR Based Training of Adaptive Neuro-Fuzzy Controller
Structured Versus Shuffled Connectivity in Cortical Dynamics
Part V Neural Networks-Based Approaches to Industrial Processes
Machine Learning Techniques for the Estimation of Particle Size Distribution in Industrial Plants
Combining Multiple Neural Networks to Predict Bronze Alloy Elemental Composition
Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives
The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context
Non Linear Time Series Analysis of Air Pollutants with Missing Data
Part VI Intelligent Cyber-Physical and Embedded Systems Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection
A Study on the Moral Implications of Human Disgust-Related Emotions Detected Using EEG-Based BCI Devices
Learning Hardware Friendly Classifiers Through Algorithmic Risk Minimization
A Hidden Markov Model-Based Approach to Grasping Hand Gestures Classification
A Low Cost ECG Biometry System Based on an Ensemble of Support Vector Machine Classifiers
Part VII Reconfigurable- Modular- Adaptive- Smart Robotic Systems for Optoelectronics Industry: The White’R Instantiation
A Regenerative Approach to Dynamically Design the Forward Kinematics for an Industrial Reconfigurable Anthropomorphic Robotic Arm
An ANN Based Decision Support System Fostering Production Plan Optimization Through Preventive Maintenance Management
Gaussian Beam Optics Model for Multi-emitter Laser Diode Module Configuration Design
Flexible Automated Island for (Dis)Assembly of a Variety of Silicon Solar Cell Geometries for Specialist Solar Products
Analysis of Production Scenario and KPI Calculation: Monitoring and Optimization Logics of White’R Island
Standardization and Green Labelling Procedure Methodology Developed for the Achievement of an Eco-Label for White’R Island
A Novel Hybrid Fuzzy Multi-objective Linear Programming Method of Aggregate Production Planning
A Production Scheduling Algorithm for a Distributed Mini Factories Network Model
A Multi-horizon, Multi-objective Training Planner: Building the Skills for Manufacturing
Use of Laser Scanners in Machine Tools to Implement Freeform Parts Machining and Quality Control