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Engineering applications of neural networks : 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013, Proceedings. Part II

Author: Lazaros S Iliadis; Harris Papadopoulos; Chrisina Jayne
Publisher: Heidelberg : Springer, 2013.
Series: Communications in computer and information science, 384.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The two volume 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  Read more...
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Genre/Form: Congresses
Electronic books
Conference papers and proceedings
Ebook
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lazaros S Iliadis; Harris Papadopoulos; Chrisina Jayne
ISBN: 9783642410161 3642410162
OCLC Number: 860901192
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xxiv, 326 pages) : illustrations.
Contents: Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines / Petr Hájek and Vladimír Olej --
Identification of All Exact and Approximate Inverted Repeats in Regular and Weighted Sequences / Carl Barton and Costas S. Iliopoulos --
Query Expansion with a Little Help from Twitter / Ioannis Anagnostopoulos and Gerasimos Razis --
Recognizing Emotion Presence in Natural Language Sentences / Isidoros Perikos and Ioannis Hatzilygeroudis --
Classification of Event Related Potentials of Error-Related Observations Using Support Vector Machines / Pantelis Asvestas and Errikos M. Ventouras --
A Novel Hierarchical Approach to Ranking-Based Collaborative Filtering / Athanasios N. Nikolakopoulos --
Mimicking Real Users' Interactions on Web Videos through a Controlled Experiment / Antonia Spiridonidou and Ioannis Karydis. Mining Student Learning Behavior and Self-assessment for Adaptive Learning Management System / Konstantina Moutafi and Paraskevi Vergeti --
Exploiting Fuzzy Expert Systems in Cardiology / Efrosini Sourla and Vasileios Syrimpeis --
The Strength of Negative Opinions / Thanos Papaoikonomou and Mania Kardara --
Extracting Knowledge from Web Search Engine Using Wikipedia / Andreas Kanavos and Christos Makris --
AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinical Cases Using Machine Learning Tools / Athanasios Mitroulias --
Mining the Conceptual Model of Open Source CMS Using a Reverse Engineering Approach / Vassiliki Gkantouna and Spyros Sioutas --
Representation of Possessive Pronouns in Universal Networking Language / Velislava Stoykova --
Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs / Iosif Mporas and Panagiotis Korvesis --
Classifying Ductal Trees Using Geometrical Features and Ensemble Learning Techniques / Angeliki Skoura and Tatyana Nuzhnaya. Medical Decision Making via Artificial Neural Networks: A Smart Phone-Embedded Application Addressing Pulmonary Diseases' Diagnosis / George-Peter K. Economou and Vaios Papaioannou --
A Simulator for Privacy Preserving Record Linkage / Alexandros Karakasidis --
Development of a Clinical Decision Support System Using AI, Medical Data Mining and Web Applications / Dimitrios Tsolis and Kallirroi Paschali --
Supporting and Consulting Infrastructure for Educators during Distance Learning Process: The Case of Russian Verbs of Motion / Oksana Kalita and Alexander Gartsov --
Classification Models for Alzheimer's Disease Detection / Christos-Nikolaos Anagnostopoulos --
Combined Classification of Risk Factors for Appendicitis Prediction in Childhood / Theodoros Iliou --
Analysis of DNA Barcode Sequences Using Neural Gas and Spectral Representation / Antonino Fiannaca and Massimo La Rosa --
A Genetic Algorithm for Pancreatic Cancer Diagnosis / Charalampos Moschopoulos and Dusan Popovic. Enhanced Weighted Restricted Neighborhood Search Clustering: A Novel Algorithm for Detecting Human Protein Complexes from Weighted Protein-Protein Interaction Graphs / Christos Dimitrakopoulos --
A Hybrid Approach to Feature Ranking for Microarray Data Classification / Dusan Popovic and Alejandro Sifrim --
Derivation of Cancer Related Biomarkers from DNA Methylation Data from an Epidemiological Cohort / Ioannis Valavanis and Emmanouil G. Sifakis --
A Particle Swarm Optimization (PSO) Model for Scheduling Nonlinear Multimedia Services in Multicommodity Fat-Tree Cloud Networks / Ioannis M. Stephanakis --
Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens / George Caridakis and Georgios Siolas --
Creative Rings for Smart Cities / Simon Delaere, Pieter Ballon and Peter Mechant --
Energy Efficient E-Band Transceiver for Future Networking / Evangelia M. Georgiadou --
Social and Smart: Towards an Instance of Subconscious Social Intelligence / M. Graña, B. Apolloni and M. Fiasché --
Living Labs in Smart Cities as Critical Enablers for Making Real the Modern Future Internet / Ioannis P. Chochliouros.
Series Title: Communications in computer and information science, 384.
Other Titles: EANN 2013
Responsibility: Lazaros Iliadis, Harris Papadopoulos, Chrisina Jayne (eds.).
More information:

Abstract:

The two volume 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.

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