Hybrid Artificial Intelligence Systems 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I /

th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of h...

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Corporate Author: SpringerLink (Online service)
Other Authors: Graña Romay, Manuel., Corchado, Emilio., Garcia Sebastian, M. Teresa.
Format: Electronic
Language: English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series: Lecture Notes in Computer Science, 6076
Online Access: http://dx.doi.org/10.1007/978-3-642-13769-3
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Table of Contents:
  • Y-Means: An Autonomous Clustering Algorithm
  • A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications
  • A Regular Tetrahedron Formation Strategy for Swarm Robots in Three-Dimensional Environment
  • Markovian Ants in a Queuing System
  • A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization
  • Automatic PSO-Based Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy
  • A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization
  • Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies
  • Linked Multicomponent Robotic Systems: Basic Assessment of Linking Element Dynamical Effect
  • Social Simulation for AmI Systems Engineering
  • Automatic Behavior Pattern Classification for Social Robots
  • Healthcare Information Fusion Using Context-Aware Agents
  • Multivariate Discretization for Associative Classification in a Sparse Data Application Domain
  • Recognition of Turkish Vowels by Probabilistic Neural Networks Using Yule-Walker AR Method
  • A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
  • A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications
  • The Abnormal vs. Normal ECG Classification Based on Key Features and Statistical Learning
  • Classification of Wood Pulp Fibre Cross-Sectional Shapes
  • A Hybrid Cluster-Lift Method for the Analysis of Research Activities
  • Protein Fold Recognition with Combined SVM-RDA Classifier
  • Data Processing on Database Management Systems with Fuzzy Query
  • A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms
  • Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses
  • Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context
  • An Approach of Bio-inspired Hybrid Model for Financial Markets
  • Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition
  • Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping
  • Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach
  • Ranked Tag Recommendation Systems Based on Logistic Regression
  • A Hybrid Robotic Control System Using Neuroblastoma Cultures
  • Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines
  • Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
  • Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques
  • Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix
  • Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities
  • Fusion of Fuzzy Spatial Relations
  • Reducing Artifacts in TMS-Evoked EEG
  • Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data
  • Stamping Line Optimization Using Genetic Algorithms and Virtual 3D Line Simulation
  • Evolutionary Industrial Physical Model Generation
  • Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification
  • A Neuro-genetic Control Scheme Application for Industrial R 3 Workspaces
  • Memetic Feature Selection: Benchmarking Hybridization Schemata
  • A Hybrid Cellular Genetic Algorithm for Multi-objective Crew Scheduling Problem
  • GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training
  • An Evolutionary Feature-Based Visual Attention Model Applied to Face Recognition
  • Efficient Plant Supervision Strategy Using NN Based Techniques
  • FDI and Accommodation Using NN Based Techniques
  • A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem
  • Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy
  • Analysing the Low Quality of the Data in Lighting Control Systems
  • Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods
  • An Hybrid Architecture Integrating Forward Rules with Fuzzy Ontological Reasoning
  • Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer’s Disease
  • Effective Diagnosis of Alzheimer’s Disease by Means of Association Rules
  • Exploratory Matrix Factorization for PET Image Analysis
  • NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer’s Disease
  • Partial Least Squares for Feature Extraction of SPECT Images
  • Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities
  • Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks
  • Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair Follow-Up
  • On the Design of a CADS for Shoulder Pain Pathology
  • Exploring Symmetry to Assist Alzheimer’s Disease Diagnosis
  • Thrombus Volume Change Visualization after Endovascular Abdominal Aortic Aneurysm Repair
  • Randomness and Fuzziness in Bayes Multistage Classifier
  • Multiple Classifier System with Radial Basis Weight Function
  • Mixture of Random Prototype-Based Local Experts
  • Graph-Based Model-Selection Framework for Large Ensembles
  • Rough Set-Based Analysis of Characteristic Features for ANN Classifier
  • Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction
  • Application of Mixture of Experts to Construct Real Estate Appraisal Models
  • Designing Fusers on the Basis of Discriminants – Evolutionary and Neural Methods of Training.