Artificial Intelligence Applications and Innovations

1. Front Matter

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2. ANN-Classification and Pattern Recognition

   1. A Probabilistic Approach to Organic Component Detection in Leishmania Infected Microscopy Images

      • Pedro Alves Nogueira, Luís Filipe Teófilo

      Pages 1-10

   2. Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters

      • Kyriaki Kitikidou, Elias Milios, Lazaros Iliadis, Minas Kaymakis

      Pages 11-18

   3. Multi-classify Hybrid Multilayered Perceptron (HMLP) Network for Pattern Recognition Applications

      • Fakroul Ridzuan Bin Hashim, John J. Soraghan, Lykourgos Petropoulakis

      Pages 19-27

   4. Support Vector Machine Classification of Protein Sequences to Functional Families Based on Motif Selection

      • Danai Georgara, Katia L. Kermanidis, Ioannis Mariolis

      Pages 28-36

3. Optimization-Genetic Algorithms

   1. A Multi-objective Genetic Algorithm for Software Development Team Staffing Based on Personality Types

      • Constantinos Stylianou, Andreas S. Andreou

      Pages 37-47

   2. An Empirical Comparison of Several Recent Multi-objective Evolutionary Algorithms

      • Thomas White, Shan He

      Pages 48-57

   3. Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm

      • Yu Zhong, Abhishek Dutta, Bart Wyns, Clara-Mihaela Ionescu, Gregory Pinte, Wim Symens et al.

      Pages 58-67

4. Artificial Neural Networks

   1. A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms

      • Alexey Potapov, Maxim Peterson

      Pages 68-77

   2. On the Design and Training of Bots to Play Backgammon Variants

      • Nikolaos Papahristou, Ioannis Refanidis

      Pages 78-87

   3. Surrogate Modelling of Solutions of Integral Equations by Neural Networks

      • Věra Kůrková

      Pages 88-96

5. Learning and Data Mining

   1. A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining

      • Yiannis Kokkinos, Konstantinos G. Margaritis

      Pages 97-106

   2. Improved POS-Tagging for Arabic by Combining Diverse Taggers

      • Maytham Alabbas, Allan Ramsay

      Pages 107-116

   3. Multithreaded Implementation of the Slope One Algorithm for Collaborative Filtering

      • Efthalia Karydi, Konstantinos G. Margaritis

      Pages 117-125

   4. Experimental Identification of Pilot Response Using Measured Data from a Flight Simulator

      • Jan Boril, Rudolf Jalovecky

      Pages 126-135

   5. A Probabilistic Knowledge-Based Information System for Environmental Policy Modeling and Decision Making

      • Hamid Jahankhani, Elias Pimenidis, Amin Hosseinian-Far

      Pages 136-145

   6. Conceptualization and Significance Study of a New Appliation CS-MIR

      • Kaichun K. Chang, Carl Barton, Costas S. Iliopoulos, Jyh-Shing Roger Jang

      Pages 146-156

   7. Physical Bongard Problems

      • Erik Weitnauer, Helge Ritter

      Pages 157-163

   8. Taxonomy Development and Its Impact on a Self-learning e-Recruitment System

      • Evanthia Faliagka, Ioannis Karydis, Maria Rigou, Spyros Sioutas, Athanasios Tsakalidis, Giannis Tzimas

      Pages 164-174

6. Fuzzy Logic

   1. Fuzzy Energy-Based Active Contours Exploiting Local Information

      • Stelios Krinidis, Michail Krinidis

      Pages 175-184

This book constitutes the refereed proceedings of the 8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012, held in Halkidiki, Greece, in September 2012. The 44 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on ANN-classification and pattern recognition, optimization - genetic algorithms, artificial neural networks, learning and mining, fuzzy logic, classification - pattern recognition, multi-agent systems, multi-attribute DSS, clustering, image-video classification and processing, and engineering applications of AI and artificial neural networks.

• algorithms
• decision support systems
• e-health
• e-learning
• neural network modeling

• Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece

  Lazaros Iliadis

• Department of Computer Science and Biomedical Informatics, University of Central Greece, Lamia, Greece

  Ilias Maglogiannis

• Department of Computer Science and Engineering, Frederick University, Pallouriotisa, Cyprus

  Harris Papadopoulos

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