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.

This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.