
New Challenges on Bioinspired Applications
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Content
- Title
- Preface
- Organization
- Table of Contents
- Neuromorphic Detection of Vowel Representation Spaces
- Introduction
- Nature and Structure of Vowels
- Neuromorphic Computing for Speech Processing
- Results and Discussion
- Conclusions
- References
- Speaker Recognition Based on a Bio-inspired Auditory Model: Influence of Its Components, Sound Pressure and Noise Level
- Introduction
- Methods
- Speaker Database and Locutions
- Auditory Model and Variants Description
- Feature Extractions and Neuronal Network Architecture
- Results
- Influence of the Sound Pressure on the Speakers Identification
- Influence of Noise on the Speaker Identification
- Analysis of the Evolution of Recognition Performance as a Function of Noise
- Conclusions an Future Works
- References
- Inner-Hair Cells Parameterized-Hardware Implementation for Personalized Auditory Nerve Stimulation
- Introduction
- Auditory System Description
- Bio-inspired Models
- Inner Hair Cells (IHC)
- Implementation
- Results
- Conclusions
- References
- Semiautomatic Segmentation of the Medial Temporal Lobe Anatomical Structures
- Introduction
- Methods
- Method A: Manual Tracing Procedure
- Method B: Semiautomatic Parcellation
- Experimental Results
- Conclusions
- References
- Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease
- Introduction
- Material and Methods
- Results and Discussion
- Conclusions
- References
- MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method
- Introduction
- Supervised Self-Organizing Maps (SOM)
- Feature Extraction and Selection for MRI Segmentation
- Segmentation Process
- Experimental Results
- Conclusions
- References
- Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning and Random Forest
- Introduction
- Matherial and Methods
- Subjects and Preprocessing
- Feature Extraction
- Large Margin Nearest Neighbors (LMNN)
- Random Forest Classification
- Results
- Conclusions
- References
- Distance Metric Learning as Feature Reduction Technique for the Alzheimer's Disease Diagnosis
- Introduction
- Matherial and Methods
- Subjects and Preprocessing
- Feature Extraction
- Large Margin Nearest Neighbors (LMNN)
- Support Vector Machines Classification
- Results
- Conclusions
- References
- Brain Status Data Analysis by Sliding EMD
- Introduction
- Empirical Mode Decomposition
- Recent Extensions of the Standard EMD
- Sliding EMD
- The Principle
- Stationarization of Brain Status Data with slidingEMD
- References
- A Quantitative Study on Acupuncture Effects for Fighting Migraine Using SPECT Images
- Introduction
- Database Description
- Image Acquisition and Preprocesing
- Demographic Details
- Feature Extraction and Classification
- Experiments and Results
- Classification
- T-Test Analysis
- Conclusions
- References
- High Resolution Segmentation of CSF on Phase Contrast MRI
- Introduction
- Basics of Phase-Contrast Imaging
- Segmentation Methods
- Experimental Results
- Conclusions
- References
- Exploration of LICA Detections in Resting State fMRI
- Introduction
- Resting State fMRI Background
- The Lattice Independent Component Analysis
- A Resting State fMRI Case Study
- Summary and Conclusions
- References
- FreeSurfer Automatic Brain Segmentation Adaptation to Medial Temporal Lobe Structures: Volumetric Assessment and Diagnosis of Mild Cognitive Impairment
- Introduction
- Methods
- Results
- Discussion
- References
- Alzheimer Disease Classification on Diffusion Weighted Imaging Features
- Introduction
- Materials
- Methods
- Image Processing
- Feature Extraction
- Classification
- Computational Experiments Results
- Conclusion
- References
- Future Applications with Diffusion Tensor Imaging
- What Are the Diffusion Tensor Imaging (DTI)?
- Definition of a Tensor
- Apparent Diffusion Coefficient
- Build Tensor Matrix
- Build Ellipsoid from Tensor Matrix
- Differences between DTI and MRI
- Building Planes Defined in the Images
- Removal of the Skull
- Conclusions
- References
- Monitoring Neurological Disease in Phonation
- Introduction
- Neurological Diseases and Voice Production
- Detection and Grading Dysphonic Voice
- Study Case: Abductor Spasmodic Dysphonia
- Conclusions
- References
- Group Formation for Minimizing Bullying Probability. A Proposal Based on Genetic Algorithms
- Introduction
- The Problem
- Genetic Algorithms
- The Proposal
- Preliminary Results
- Conclusions
- References
- A Speaker Recognition System Based on an Auditory Model and Neural Nets: Performance at Different Levels of Sound Pressure and of Gaussian White Noise
- Introduction
- Data and Methodology
- Speech Data
- Feature Extractions
- Neural Nets
- Results
- Analysis of the Behavior of the Auditory Model Using Signals with Different Sound Pressure Levels
- Analysis of the Behavior of the Auditory Model with Noisy Signals
- Analysis of the Evolution of Recognition Performance as Function of Noise
- Conclusions an Future Developments
- References
- Automatic Detection of Hypernasality in Children
- Introduction
- Methodology
- Experimental Framework
- Results
- Conclusions
- References
- Characterization of Focal Seizures in Scalp Electroencephalograms Based on Energy of Signal and Time-Frequency Analysis
- Introduction
- Analysis of the Data
- Acquisition of the EEG Registers and Organization of the Database
- Preprocessing of the Data
- Calculation of the Energy from the Signals
- Analysis with Continuous Wavelet Transform
- Discussion
- References
- An Optimized Framework to Model Vertebrate Retinas
- Introduction
- A High-Level Framework to Model Artificial Retinas
- An Ad-hoc Language to Describe Visual Systems
- Built-In Multitarget HW/SW Bioinspired Libraries
- A Multitarget High-Level HW/SW Compiler
- Results
- Outputs Provided by the RetinaStudio
- Comparison with Biological Data
- Conclusions and Future Work
- References
- An Expandable Hardware Platform for Implementation of CNN-Based Applications
- Introduction
- Platform Structure
- Proccesing Module and Expansion Interface
- Processing Approach
- The Carthagonova Architecture
- The Optimized Carthagonova RTL-Microarchitecture
- Conclusions
- References
- Classification of Welding Defects in Radiographic Images Using an Adaptive-Network-Based Fuzzy System
- Introduction
- Experimental Methodology
- Image Preprocessing
- Weld Region Segmentation
- Defect Candidates Segmentation
- Feature Extraction
- ANFIS: Adaptive Neuro-Fuzzy Inference System
- Results and Discussions
- Conclusions
- References
- Reinforcement Learning Techniques for the Control of WasteWater Treatment Plants
- Introduction
- Artificial Intelligence in the Control of WWTP
- Review of Related Work
- Reinforcement Learning
- Autonomous Adaptation of the Oxygen Setpoint in the N-Ammonia Removal Process
- Conclusions
- References
- Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin
- Introduction
- State of Art
- Genetic Programming
- Problem Description
- Water Flow Generated by Rain
- Solids Transport
- Water Flow Prediction
- Solids Transport Prediction
- Conclusions
- References
- Comparing Elastic Alignment Algorithms for the Off-Line Signature Verification Problem
- Introduction
- Considered Elastic Alignment Algorithms
- Shape-Memory Snakes
- Parallel Segment Matching Method
- Analysis of the Compared Methods
- Experimental Results
- Signature Database
- Performed Experiments
- Conclusion
- References
- A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System
- Introduction
- Overview about Fuzzy Cognitive Maps
- A FCM Learning Process Using PSO Metaheuristic
- Tool Based on Fuzzy Cognitive Maps
- Case Study: Modeling Travel Behavior
- Conclusions
- References
- Study of Strength Tests with Computer Vision Techniques
- Introduction
- Block-Matching Technique
- Image Correction and Scaling
- Experimental Results
- Synthetic Images
- Strength Test
- Conclussion
- References
- Scaling Effects in Crossmodal Improvement of Visual Perception
- Introduction
- Observation and Modelling of Visual Perception Improvement by Moderate Muscular Effort in Normals
- Conclusion
- References
- Pattern Recognition Using a Recurrent Neural Network Inspired on the Olfactory Bulb
- Introduction
- Olfactory Bulb
- The Model
- Mitral Cell Model
- Granule Cell Model
- Connectivity
- Results and Discussion
- Conclusion
- References
- Experiments on Lattice Independent Component Analysis for Face Recognition
- Introduction
- Lattice Independent Component Analysis (LICA)
- LICA for Face Recognition
- Experimental Results
- Conclusions
- References
- A Hyperheuristic Approach for Dynamic Enumeration Strategy Selection in Constraint Satisfaction
- Introduction
- Preliminaries
- Constraint Satisfaction Problems
- CSP Solving
- Related Work
- Architecture
- A Hyperheuristic Approach for the UPDATE Component
- Choice Function
- Choice Function Tuning with a Multilevel Structure
- Experimental Results
- Conclusion
- References
- Genetic Algorithm for Job-Shop Scheduling with Operators
- Introduction
- Description of the Problem
- Schedule Generation Schemes
- Genetic Algorithm for the JSO(n,p)
- Experimental Study
- Conclusions
- References
- Bio-inspired System in Automatic Speaker Recognition
- Introduction
- Methods and Materials
- Speaker Database and Locutions
- Results
- Conclusions and Future Work
- References
- Independent Component Analysis: A Low-Complexity Technique
- Introduction
- Preprocessing
- Proposed Approach
- Justification of the Proposed Method
- Computer Experiment
- Conclusions
- References
- AdaBoost Face Detection on the GPU Using Haar-Like Features
- Introduction
- Motivation
- AdaBoost Face Detection with Haar-Like Features
- AdaBoost Haar-Like Face Detection on the GPU
- Parallel Computation of the Integral Image
- Parallel Computation of the Cascade of Classifiers: CUDA Naïve Implementation
- Further Optimizations
- Performance Tests
- Conclusions
- References
- Fuzzy ARTMAP Based Neural Networks on the GPU for High-Performance Pattern Recognition
- Introduction
- Motivation
- Fuzzy ARTMAP and SOON Implementations Using CUDA
- Fuzzy ARTMAP and SOON Principles
- Parallelization of Fuzzy ARTMAP
- Parallelization of SOON
- Common Implementation Aspects
- Experimental Results
- Conclusions and Future Work
- References
- Bio-inspired Color Image Segmentation on the GPU (BioSPCIS)
- Introduction
- Motivation
- Description of the BioSPCIS Architecture
- Overview and Relation to the Primary Visual Path System
- Mapping Computations to the GPU
- Experimental Results
- Berkeley Segmentation Tests
- GPU Implementation Performance
- Conclusion and Future Work
- References
- Simulating a Rock-Scissors-Paper Bacterial Game with a Discrete Cellular Automaton
- Introduction
- Description of the Simulator
- Results
- Conclusions
- References
- Mobile Robot Localization through Identifying Spatial Relations from Detected Corners
- Introduction
- Mobile Robot Localization Algorithm
- Detection of Corners
- Creation of Spatial Relations
- Identification of Spatial Relations
- Data and Results
- Conclusions
- References
- Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
- Introduction
- Methodology
- Evolutionary Product Unit Neural Networks
- Feature Selection
- Proposal Description
- Experimentation
- Results
- Results Applying TSEA and TSEAFS
- Statistical-Analysis
- Results Obtained with a Variety of Classifiers
- Conclusions
- References
- Knowledge Living on the Web (KLW)
- Introduction
- The Renewal of Ontologies
- Ontologies and the Internet
- Previous Considerations
- KLW: Our Proposal
- Technical Description
- Discussion and Future Work
- References
- Local Context Discrimination in Signature Neural Networks
- Introduction
- Signature Neural Networks
- SNN Definitions
- SNN Algorithm
- Results
- Discussion
- References
- Spider Recognition by Biometric Web Analysis
- Introduction
- Database
- Preprocessing
- Feature Extractor: Principal Component Analysis
- Classification: Support Vector Machine
- Experiments and Results
- Discussion and Conclusions
- References
- A Prediction Model to Diabetes Using Artificial Metaplasticity
- Introduction
- Methods and Materials
- Pima Indian Diabetes Data Set
- Data Preparation
- Artificial Metaplasticity Neural Network
- The AMMLP Algorithm
- Schema Using
- Results
- Comparison
- Conclusion
- References
- Band Correction in Random Amplified Polymorphism DNA Images Using Hybrid Genetic Algorithms with Multilevel Thresholding
- Introduction
- Problem Definition
- Polynomial Multilevel Thresholding
- Hybrid Genetic Algorithms
- Experiments
- Multilevel Thresholding Tests
- Genetic Algorithms Tests
- Conclusions
- References
- Discrimination of Epileptic Events Using EEG Rhythm Decomposition
- Introduction
- Methods
- Time-Varying Autorregresive Models
- Wavelet Analysis
- Experimental Set-Up
- Data Base
- Experiments
- Results and Discussion
- Conclusions
- References
- Methodology for Attention Deficit/Hyperactivity Disorder Detection by Means of Event-Related Potentials
- Introduction
- Experimental Framework
- Database
- Methodology 1
- Dimensionality Reduction Step
- Methodology 2
- Results and Discussion
- Conclusion
- References
- Methodology for Epileptic Episode Detection Using Complexity-Based Features
- Introduction
- Methodology
- Characterization
- Experimental Setup
- Database
- Experiments
- Results and Discussions
- Conclusion
- References
- Segmentation of the Carotid Artery in Ultrasound Images Using Neural Networks
- Introduction
- Image Segmentation
- Multilayer Perceptrons
- Committee Machines
- Proposed Method
- Architecture
- Training
- Debugging Stage
- Results
- Conclusions
- References
- Tools for Controlled Experiments and Calibration on Living Tissues Cultures
- Introduction
- Experimental Setup
- Cell Cultures
- MEA
- MEA1060BC
- STG
- TC01
- MC_Card
- BRAVE Software
- Architecture
- Heater
- MeaAmplifier
- StgControl
- MeaBrave
- Brave
- Conclusions and Future Work
- References
- Author Index
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