Hybrid Artificial Intelligent Systems, Part I: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010. Proceedings

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Manuel Grana Romay, Emilio Corchado, M. Teresa Garcia Sebastian
Springer Science & Business Media, Jun 11, 2010 - Computers - 606 pages
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 highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.
 

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Contents

An Autonomous Clustering Algorithm
1
A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications
14
A Regular Tetrahedron Formation Strategy for Swarm Robots in ThreeDimensional Environment
24
Markovian Ants in a Queuing System
32
A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization
40
Automatic PSOBased Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy
48
A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization
56
Developing an Intelligent Parking Management Application Based on Multiagent Systems and Semantic Web Technologies
64
Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data
311
Stamping Line Optimization Using Genetic Algorithms and Virtual 3D Line Simulation
319
Evolutionary Industrial Physical Model Generation
327
Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification
335
A Neurogenetic Control Scheme Application for Industrial R3 Workspaces
343
Benchmarking Hybridization Schemata
351
A Hybrid Cellular Genetic Algorithm for Multiobjective Crew Scheduling Problem
359
An Evolving Genetic Algorithm for Neural Network Training
368

Basic Assessment of Linking Element Dynamical Effect
73
Social Simulation for AmI Systems Engineering
80
Automatic Behavior Pattern Classification for Social Robots
88
Healthcare Information Fusion Using ContextAware Agents
96
Multivariate Discretization for Associative Classification in a Sparse Data Application Domain
104
Recognition of Turkish Vowels by Probabilistic Neural Networks Using YuleWalker AR Method
112
A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
120
A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications
128
The Abnormal vs Normal ECG Classification Based on Key Features and Statistical Learning
136
Classification of Wood Pulp Fibre CrossSectional Shapes
144
A Hybrid ClusterLift Method for the Analysis of Research Activities
152
Protein Fold Recognition with Combined SVMRDA Classifier
162
Data Processing on Database Management Systems with Fuzzy Query
170
Using Fromto Chart Arranged by Genetic Algorithms
178
Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses
187
Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context
196
An Approach of Bioinspired Hybrid Model for Financial Markets
205
Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition
213
Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping
221
A CaseBased Reasoning Approach
229
Ranked Tag Recommendation Systems Based on Logistic Regression
237
A Hybrid Robotic Control System Using Neuroblastoma Cultures
245
Image Segmentation with a Hybrid Ensemble of OneClass Support Vector Machines
254
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
262
Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques
270
Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix
278
Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities
286
Fusion of Fuzzy Spatial Relations
294
Reducing Artifacts in TMSEvoked EEG
302
An Evolutionary FeatureBased Visual Attention Model Applied to Face Recognition
376
Efficient Plant Supervision Strategy Using NN Based Techniques
385
FDI and Accommodation Using NN Based Techniques
395
A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem
405
A Perspective to Fight BCI Illiteracy
413
Analysing the Low Quality of the Data in Lighting Control Systems
421
Type1 Nonsingleton Type2 TakagiSugenoKang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Pr...
429
An Hybrid Architecture Integrating Forward Rules with Fuzzy Ontological Reasoning
438
Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimers Disease
446
Effective Diagnosis of Alzheimers Disease by Means of Association Rules
452
Exploratory Matrix Factorization for PET Image Analysis
460
NMFBased Analysis of SPECT Brain Images for the Diagnosis of Alzheimers Disease
468
Partial Least Squares for Feature Extraction of SPECT Images
476
Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities
484
Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks
492
Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair FollowUp
500
On the Design of a CADS for Shoulder Pain Pathology
508
Exploring Symmetry to Assist Alzheimers Disease Diagnosis
516
Thrombus Volume Change Visualization after Endovascular Abdominal Aortic Aneurysm Repair
524
Randomness and Fuzziness in Bayes Multistage Classifier
532
Multiple Classifier System with Radial Basis Weight Function
540
Mixture of Random PrototypeBased Local Experts
548
GraphBased ModelSelection Framework for Large Ensembles
557
Rough SetBased Analysis of Characteristic Features for ANN Classifier
565
Boosting Algorithm with SequenceLoss Cost Function for Structured Prediction
573
Application of Mixture of Experts to Construct Real Estate Appraisal Models
581
Designing Fusers on the Basis of Discriminants Evolutionary and Neural Methods of Training
590
Author Index
598
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