Engineering Applications of Neural Networks

1. Front Matter

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2. Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines

   • Petr Hájek, Vladimír Olej

   Pages 1-10

3. Identification of All Exact and Approximate Inverted Repeats in Regular and Weighted Sequences

   • Carl Barton, Costas S. Iliopoulos, Nicola Mulder, Bruce Watson

   Pages 11-19

4. Query Expansion with a Little Help from Twitter

   • Ioannis Anagnostopoulos, Gerasimos Razis, Phivos Mylonas, Christos-Nikolaos Anagnostopoulos

   Pages 20-29

5. Recognizing Emotion Presence in Natural Language Sentences

   • Isidoros Perikos, Ioannis Hatzilygeroudis

   Pages 30-39

6. Classification of Event Related Potentials of Error-Related Observations Using Support Vector Machines

   • Pantelis Asvestas, Errikos M. Ventouras, Irene Karanasiou, George K. Matsopoulos

   Pages 40-49

7. A Novel Hierarchical Approach to Ranking-Based Collaborative Filtering

   • Athanasios N. Nikolakopoulos, Marianna Kouneli, John Garofalakis

   Pages 50-59

8. Mimicking Real Users’ Interactions on Web Videos through a Controlled Experiment

   • Antonia Spiridonidou, Ioannis Karydis, Markos Avlonitis

   Pages 60-69

9. Mining Student Learning Behavior and Self-assessment for Adaptive Learning Management System

   • Konstantina Moutafi, Paraskevi Vergeti, Christos Alexakos, Christos Dimitrakopoulos, Konstantinos Giotopoulos, Hera Antonopoulou et al.

   Pages 70-79

10. Exploiting Fuzzy Expert Systems in Cardiology

    • Efrosini Sourla, Vasileios Syrimpeis, Konstantina-Maria Stamatopoulou, Georgios Merekoulias, Athanasios Tsakalidis, Giannis Tzimas

    Pages 80-89

11. The Strength of Negative Opinions

    • Thanos Papaoikonomou, Mania Kardara, Konstantinos Tserpes, Theodora Varvarigou

    Pages 90-99

12. Extracting Knowledge from Web Search Engine Using Wikipedia

    • Andreas Kanavos, Christos Makris, Yannis Plegas, Evangelos Theodoridis

    Pages 100-109

13. AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinical Cases Using Machine Learning Tools

    • Athanasios Mitroulias, Theofilatos Konstantinos, Spiros Likothanassis, Mavroudi Seferina

    Pages 110-118

14. Mining the Conceptual Model of Open Source CMS Using a Reverse Engineering Approach

    • Vassiliki Gkantouna, Spyros Sioutas, Georgia Sourla, Athanasios Tsakalidis, Giannis Tzimas

    Pages 119-128

15. Representation of Possessive Pronouns in Universal Networking Language

    • Velislava Stoykova

    Pages 129-137

16. Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs

    • Iosif Mporas, Panagiotis Korvesis, Evangelia I. Zacharaki, Vasilis Megalooikonomou

    Pages 138-145

17. Classifying Ductal Trees Using Geometrical Features and Ensemble Learning Techniques

    • Angeliki Skoura, Tatyana Nuzhnaya, Predrag R. Bakic, Vasilis Megalooikonomou

    Pages 146-155

18. Medical Decision Making via Artificial Neural Networks: A Smart Phone-Embedded Application Addressing Pulmonary Diseases’ Diagnosis

    • George-Peter K. Economou, Vaios Papaioannou

    Pages 156-163

19. A Simulator for Privacy Preserving Record Linkage

    • Alexandros Karakasidis, Vassilios S. Verykios

    Pages 164-173

20. Development of a Clinical Decision Support System Using AI, Medical Data Mining and Web Applications

    • Dimitrios Tsolis, Kallirroi Paschali, Anna Tsakona, Zafeiria-Marina Ioannou, Spiridon Likothanasis, Athanasios Tsakalidis et al.

    Pages 174-184

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

• affective computing
• fuzzy neural network
• particle swarm optimization
• super-turing machines
• wearable computing

• Department of Forestry & Management of the Environment and Natural Resources, Democritus University of Thrace, Orestiada, Hellas

  Lazaros Iliadis

• Frederick University of Cyprus, Cyprus

  Harris Papadopoulos

• Faculty of Engineering and Computing, Coventry University, UK

  Chrisina Jayne

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