Biomedical Applications Based on Natural and Artificial Computing International Work Conference on the Interplay Between Natural and Artificial Computation IWINAC 2017 Corunna Spain June 19 23 2017 Proceedings Part II 1st Edition by José Manuel Ferrández Vicente 3319597737 9783319597737

Biomedical Applications Based on Natural and Artificial Computing International Work Conference on the Interplay Between Natural and Artificial Computation IWINAC 2017 Corunna Spain June 19 23 2017 Proceedings Part II 1st Edition by José Manuel Ferrández Vicente – Ebook PDF Instant Download/DeliveryISBN: 3319597737, 9783319597737 

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ISBN-10 ‏ : ‎3319597737 

ISBN-13 ‏ : ‎ 9783319597737

Author:  José Manuel Ferrández Vicente 

The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Biomedical Applications Based on Natural and Artificial Computing International Work Conference on the Interplay Between Natural and Artificial Computation IWINAC 2017 Corunna Spain June 19 23 2017 Proceedings Part II 1st Table of contents:

1. Biomedical Applications
Automatic Detection of Blood Vessels in Retinal OCT Images
Emergency Department Readmission Risk Prediction: A Case Study in Chile
Vowel Articulation Distortion in Parkinson’s Disease
Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database
Ongoing Work on Deep Learning for Lung Cancer Prediction
Identification of the Semantic Disconnection in Alzheimer’s Patients Conducted by Bayesian Algorithms
2. Mobile Brain Computer Interaction
Classification of Gait Motor Imagery While Standing Based on Electroencephalographic Bandpower
A Mobile Brain-Computer Interface for Clinical Applications: From the Lab to the Ubiquity
Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis
Securing Passwords Beyond Human Capabilities with a Wearable Neuro-Device
Delta-Theta Intertrial Phase Coherence Increases During Task Switching in a BCI Paradigm
Using EEG Signals to Detect Different Surfaces While Walking
3. Human Robot Interaction
Improved Control of DLO Transportation by a Team of Quadrotors
Robust Joint Visual Attention for HRI Using a Laser Pointer for Perspective Alignment and Deictic Referring
Agent-Based Spatial Dynamics Explaining Sustained Opinion Survival
Enhancing Neuropsychological Testing with Gamification and Tangible Interfaces: The Baking Tray Task
Hierarchical-Architecture Oriented to Multi-task Planning for Prosthetic Hands Controlling
Smart Gesture Selection with Word Embeddings Applied to NAO Robot
4. Deep Learning
A Deep Learning Approach for Underwater Image Enhancement
A Deep Learning Approach to Handwritten Number Recognition
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load
Deep Learning and Bayesian Networks for Labelling User Activity Context Through Acoustic Signals
Deconvolutional Neural Network for Pupil Detection in Real-World Environments
Air Quality Forecasting in Madrid Using Long Short-Term Memory Networks
Values Deletion to Improve Deep Imputation Processes
5. Machine Learning Applied to Big Data Analysis
Big Data Infrastructure: A Survey
A Survey of Machine Learning Methods for Big Data
Vehicle Type Detection by Convolutional Neural Networks
Motion Detection by Microcontroller for Panning Cameras
Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model
Bayesian Unbiasing of the Gaia Space Mission Time Series Database
6. Computational Intelligence in Data Coding and Transmission
Adapting Side Information to Transmission Conditions in Precoding Systems
Energy Based Clustering Method to Estimate Channel Occupation of LTE in Unlicensed Spectrum
Cellular Automata-Based Image Sequence Denoising Algorithm for Signal Dependent Noise
7. Applications
Robust Step Detection in Mobile Phones Through a Learning Process Carried Out in the Mobile
Predicting Trust in Wikipedia’s Vote Network Using Social Networks measures
Acceleration of Moving Object Detection in Bio-Inspired Computer Vision
Supervised Metaplasticity for Big Data: Application to Pollutant Concentrations Forecast
Towards Hospitalization After Readmission Risk Prediction Using ELMs
Probabilistic Classifiers and Statistical Dependency: The Case for Grade Prediction
OntoLexmath: An Ontology for Dealing with Mathematical Lexicon
A Propose Architecture for Situated Multi-agent Systems and Virtual Simulated Environments Applied to Educational Immersive Experiences
Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson’s Disease
A Knowledge-Based Clinical Decision Support System for Monitoring Chronic Patients
Using the Power Spectra of Images and Noise for Portal Imaging Systems Characterization
Calculating the Power Spectrum of Digital X-ray Images in the Wavelet Domain
Chaotic Encryption of 3D Objects
Architecture of a Monitoring System for Hipertensive Patients
Combining Multiscale Filtering and Neural Networks for Local Rainfall Forecast
Dynamic Sign Language Recognition Using Gaussian Process Dynamical Models
Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data
Ensembles of Decision Trees for Recommending Touristic Items
Relating Facial Myoelectric Activity to Speech Formants
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap
Segmentation of Circular Contours from Laser Beams Measurements
Visual Tools to Lecture Data Analytics and Engineering

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