Hybrid Artificial Intelligent Systems, Part I: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010. Proceedings
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.
1111360747
Hybrid Artificial Intelligent Systems, Part I: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010. Proceedings
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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Hybrid Artificial Intelligent Systems, Part I: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010. Proceedings

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

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

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

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Overview

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.

Product Details

ISBN-13: 9783642137686
Publisher: Springer Berlin Heidelberg
Publication date: 08/11/2010
Series: Lecture Notes in Computer Science , #6076
Edition description: 2010
Pages: 606
Product dimensions: 6.10(w) x 9.20(h) x 1.30(d)

Table of Contents

Y-Means: An Autonomous Clustering Algorithm (Invited Paper) Ali A. Ghorbani Iosif-Viorel Onut 1

A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications (Invited Paper) James Llinas 14

A Regular Tetrahedron Formation Strategy for Swarm Robots in Three-Dimensional Environment M. Fikret Ercan Xiang Li Ximing Liang 24

Markovian Ants in a Queuing System Ilija Tanackov Dragan Simic Siniša Sremac Jovan Tepic Suncica Kocic-Tanackov 32

A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization J.F. Jimenez F.J. Cuevas J.H. Sossa L.E. Gomez 40

Automatic PSO-Based Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy Haroun Djaghloul Mohammed Batouche Jean-Pierre Jessel 48

A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization Hajira Jabeen Abdul Rauf Baig 56

Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies Andrés Muñoz Juan A. Botía 64

Linked Multicomponent Robotic Systems: Basic Assessment of Linking Element Dynamical Effect Borja Fernandez-Gauna Jose Manuel Lopez-Guede Ekaitz Zulueta 73

Social Simulation for AmI Systems Engineering Teresa Garcia-Valverde Emilio Serrano Juan A. Botia 80

Automatic Behavior Pattern Classification for Social Robots Abraham Prieto Francisco Bellas Pilar Caamaño Richard J. Duro 88

Healthcare Information Fusion Using Context-Aware Agents Dante I. Tapia Juan A. Fraile Ana de Luis Javier Bajo 96

Multivariate Discretization for Associative Classification in a Sparse Data Application Domain María N. Moreno García Joel Pinho Lucas Vivian F. López Batista M. José Polo Martín 104

Recognition of Turkish Vowels by Probabilistic Neural Networks Using Yule-Walker AR Method Erdem Yavuz Vedat Topuz 112

A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition Olivier Pauplin Jianmin Jiang 120

A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications Piyabute Fuangkhon Thitipong Tanprasert 128

The Abnormal vs. Normal ECG Classification Based on Key Features and Statistical Learning Jun Dong Jia-fei Tong Xia Liu 136

Classification of Wood Pulp Fibre Cross-Sectional Shapes Asuka Yamakawa Gary Chinga-Carrasco 144

A Hybrid Cluster-Lift Method for the Analysis of Research Activities Boris Mirkin Susana Nascimento Trevor Fenner Luís Moniz Pereira 152

Protein Fold Recognition with Combined SVM-RDA Classifier Wiestaw Chmielnicki Katarzyna Stapor 162

Data Processing on Database Management Systems with Fuzzy Query Irfan Simsek Vedat Topuz 170

A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms Eren Esgin Pinar Senkul Cem Cimenbicer 178

Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses Marcin Gorawski Pawel Jureczek 187

Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context N. Barroso K. López de Ipiña A. Ezeiza O. Barroso U. Susperregi 196

An Approach of Bio-inspired Hybrid Model for Financial Markets Dragan Simic Vladeta Gajic Svetlana Simic 205

Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition Jon Goenetxea Aitor Moreno Luis Unzueta Andoni Galdós Álvaro Segura 213

Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping Marcel Martin Jonathan Maycock Florian Paul Schmidt Oliver Kramer 221

Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach Cristian Pinzón Juan F. De. Paz Carolina Zato Javier Pérez 229

Ranked Tag Recommendation Systems Based on Logistic Regression J.R. Quevedo E. Montañés J. Ranilla I. Díaz 237

A Hybrid Robotic Control System Using Neuroblastoma Cultures J.M. Ferrández V. Lorente J.M. Cuadra F. delaPaz José Ramón Álvarez-Sánchez E. Fernández 245

Image Segmentation with a Hybrid Ensemble of One-Class Support vector Machines Boguslaw Cyganek 254

Power Prediction in Smart Grids with Evolutionary Local Kernel Regression Oliver Kramer Benjamin Satzger Jörg Lässig 262

Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques A. Tellaeche R. Arana A. Ibarguren J.M. Martínez-Otzeta 270

Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix Minkyung Kim Eunyoung Kim Changwoo Seo Sungchae Jeon 278

Hybrid Approach for Automatic Evaluation of Emotion Elicitation Orientd to People with Intellectual Disabilities R. Martínez K. López de Ipiña E. Irigoyen N. Asla 286

Fusion of Fuzzy Spatial Relations Nadeem Salamat El-hadi Zahzah 294

Reducing Artifacts in TMS-Evoked EEG Juan José Fuertes Carlos M. Travieso A. Álvarez M.A. Ferrer J.B. Alonso 302

Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data Romain Raveaux Guillaume Hillairet 311

Stamping Line Optimization Using Genetic Algorithms and Virtual 3D Line Simulation Javier A. García-Sedano Jon Alzola Bernardo Asier González González Óscar Berasategui Ruiz de Gauna Rafael Yuguero González de Mendivil 319

Evolutionary Industrial Physical Model Generation Alberto Carrascal Amaia Alberdi 327

Evolving Neural Networks, with Maximum AUC for Imbalanced Data Classification Xiaofen Lu Ke Tang Xin Yao 335

A Neuro-genetic Control Scheme Application for Industrial R3 Workspaces E. Irigoyen M. Larrea J. Valera V. Gómez F. Artaza 343

Memetic Feature Selection: Benchmarking Hybridization Schemata M. A. Esseghir Gilles Goncalves Yahya Slimani 351

A Hybrid Cellular Genetic Algorithm for Multi-objective Crew scheduling Problem Fariborz Jolai Ghazal Assadipour 359

GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training Vicente Gómez-Garay Eloy Irigoyen Fernando Artaza 368

An Evolutionary Feature-Based Visual Attention Model Applied to Face Recognition Roberto A. Vázquez Humberto Sossa Beatriz A. Garro 376

Efficient Plant Supervision Strategy Using NN Based Techniques Ramon Ferreiro Garcia Jose Luis Calvo Rolle Francisco Javier Perez Castelo 385

FDI and Accommodation Using NN Based Techniques Ramon Ferreiro Garcia Alberto De Miguel Catoira Beatriz Ferreiro Sanz 395

A Hybird ACO Approach to the Matrix Bandwidth Minimization Problem Camelia-M. Pintea Gloria-Cerasela Crisan Camelia Chira 405

Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy Carmen Vidaurre Claudia Sannelli Klaus-Robert Müller Benjamin Blankertz 413

Analysing the Low Quality of the Data in Lighting Control Systems Jose R. Villar Enrique de la Cal Javier Sedano Marco García-Tamargo 421

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 Gerardo M. Mendez Angeles Hernández Alberto Cavazos Marco-Tulio Mata-Jiménez 429

An Hybrid Architecture Integrating Forward Rules with Fuzzy Ontological Reasoning Stefano Bragaglia Federico Chesani Anna Ciampolini Paola Mello Marco Montali Davide Sottara 438

Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease D. Salas-Gonzalez J.M. Górriz J. Ramírez Fermin Segovia Rosa Chaves Miriam López I.A. Illán Pablo Padilla 446

Effective Diagnosis of Alzheimer's Disease by Means of Association Rules Rosa Chaves Javier Ramírez J.M. Górriz Miriam López D. Salas-Gonzalez I.A. Illán Fermin Segovia Pablo Padilla 452

Exploratory Matrix Factorization for PET Image Analysis A. Kodewitz I.R. Keck A.M. Tomé J.M. Górriz Elmar W. Lang 460

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease Pablo Padilla Juan-Manuel Górriz Javier Ramírez Elmar Lang Rosa Chaves Fermin Segovia Ignacio Álvarez Diego Salas-González Miriam López 468

Partial Least Squares for Feature Extraction of SPECT Images Fermin Segovia Javier Ramírez J.M. Górriz Rosa Chaves D. Salas-Gonzalez Miriam López Ignacio Álvarez Pablo Padilla C.G. Puntonet 476

Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities Alberto Olivares J.M. Górriz Javier Ramírez Gonzalo Olivares 484

Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks Ekaitz Zulueta Guerrero Naiara Telleria Garay Jose Manuel Lopez-Guede Borja Ayerdi Vilches Eider Egilegor Iragorri David Lecumberri Castaños Ana Belén de la Hoz Rastrollo Carlos Pertusa Peña 492

Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair Follow-Up Jon Haitz Legarreta Fernando Boto Iván Macía Josu Maiora Guillermo García Céline Paloc Manuel Graña Mariano de Blas 500

On the Design of a CADS for Shoulder Pain Pathology K. López de Ipiña M.C. Hernández E. Martínez C. Vaquero 508

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis I.A. Illán J.M. Górriz Javier Ramírez D. Salas-Gonzalez Miriam López Pablo Padilla Rosa Chaves Fermin Segovia C.G. Puntonet 516

Thrombus Volume Change Visualization after Endovascular Abdominal Aortic Aneurysm Repair Josu Maiora Guillermo García Iván Macía Jon Haitz Legarreta Fernando Boto Céline Paloc Manuel Graña Javier Sanchez Abuín 524

Randomness and Fuzziness in Bayes Multistage Classifier Robert Burduk 532

Multiple Classifier System with Radial Basis Weight Function Konrad Jackowski 540

Mixture of Random Prototype-Based Local Experts Giuliano Armano Nima Hatami 548

Graph-Based Model-Selection Framework for Large Ensembles Krisztian Buza Alexandros Nanopoulos Lars Schmidt-Thieme 557

Rough Set-Based Analysis of Characteristic Features for ANN Classifier Urszula Stanczyk 565

Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction Tomasz Kajdanowicz Przemyslaw Kazienko Jan Kraszewski 573

Application of Mixture of Experts to Construct Real Estate Appraisal Models Magdalena Graczyk Tadeusz Lasota Zbigniew Telec Bogdan Trawinski 581

Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training Michal Wozniak Marcin Zmyslony 590

Author Index 599

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