Hybrid Artificial Intelligent Systems, Part I

1. Protein Fold Recognition with Combined SVM-RDA Classifier

   • Wiesław Chmielnicki, Katarzyna Sta̧por

   Pages 162-169

2. Data Processing on Database Management Systems with Fuzzy Query

   • İrfan Şimşek, Vedat Topuz

   Pages 170-177

3. A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms

   • Eren Esgin, Pinar Senkul, Cem Cimenbicer

   Pages 178-186

4. Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses

   • Marcin Gorawski, Pawel Jureczek

   Pages 187-195

5. 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

   Pages 196-204

6. An Approach of Bio-inspired Hybrid Model for Financial Markets

   • Dragan Simić, Vladeta Gajić, Svetlana Simić

   Pages 205-212

7. Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition

   • Jon Goenetxea, Aitor Moreno, Luis Unzueta, Andoni Galdós, Álvaro Segura

   Pages 213-220

8. Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping

   • Marcel Martin, Jonathan Maycock, Florian Paul Schmidt, Oliver Kramer

   Pages 221-228

9. Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach

   • Cristian Pinzón, Juan F. De Paz, Carolina Zato, Javier Pérez

   Pages 229-236

10. Ranked Tag Recommendation Systems Based on Logistic Regression

    • J. R. Quevedo, E. Montañés, J. Ranilla, I. Díaz

    Pages 237-244

11. A Hybrid Robotic Control System Using Neuroblastoma Cultures

    • J. M. Ferrández, V. Lorente, J. M. Cuadra, F. delaPaz, José Ramón Álvarez-Sánchez, E. Fernández

    Pages 245-253

12. Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines

    • Bogusław Cyganek

    Pages 254-261

13. Power Prediction in Smart Grids with Evolutionary Local Kernel Regression

    • Oliver Kramer, Benjamin Satzger, Jörg Lässig

    Pages 262-269

14. 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

    Pages 270-277

15. Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix

    • Minkyung Kim, Eunyoung Kim, Changwoo Seo, Sungchae Jeon

    Pages 278-285

16. Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities

    • R. Martínez, K. López de Ipiña, E. Irigoyen, N. Asla

    Pages 286-293

17. Fusion of Fuzzy Spatial Relations

    • Nadeem Salamat, El-hadi Zahzah

    Pages 294-301

18. Reducing Artifacts in TMS-Evoked EEG

    • Juan José Fuertes, Carlos M. Travieso, A. Álvarez, M. A. Ferrer, J. B. Alonso

    Pages 302-310

19. Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data

    • Romain Raveaux, Guillaume Hillairet

    Pages 311-318

20. 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

    Pages 319-326

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.

• Evolution
• HAIS
• Scheduling
• agents
• artificial neural network
• case-based reasoning
• classification
• genetic programming
• hybrid algorithms
• hybrid reasoning
• knowledge discovery
• lattice theory
• multi-agent system
• robot
• semantic web
• algorithm analysis and problem complexity

• Facultad de informatica UPV/EHU, San Sebastian, Spain

  Manuel Graña Romay, M. Teresa Garcia Sebastian

• Universidad de Salamanca, Spain

  Emilio Corchado

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