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Engineering Applications of Neural Networks (Part I)
Lazaros Iliadis, Chrisina Jayne (Eds.)
Front Matter

Computer Vision and Robotics

ART-Based Fusion of Multi-modal Information for Mobile Robots
Elmar Berghöfer, Denis Schulze, Marko Tscherepanow, Sven Wachsmuth
Vision-Based Autonomous Navigation Using Supervised Learning Techniques
Jefferson Souza, Gustavo Pessin, Fernando Osório, Denis Wolf

Self Organizing Maps

SOM-Based Clustering and Optimization of Production
Primož Potočnik, Tomaž Berlec, Marko Starbek, Edvard Govekar
Behavioral Profiles for Building Energy Performance Using eXclusive SOM
Félix Vázquez, Sergio Gaceo, Wolfgang Kastner, José Morales

Classification - Pattern Recognition

Hypercube Neural Network Algorithm for Classification
Dominic Palmer-Brown, Chrisina Jayne
Improving the Classification Performance of Liquid State Machines Based on the Separation Property
Emmanouil Hourdakis, Panos Trahanias
A Scale-Changeable Image Analysis Method
Hui Wei, Bo Lang, Qing-Song Zuo
Induction of Linear Separability through the Ranked Layers of Binary Classifiers
Leon Bobrowski
Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers – A Neural Network Approach
André Krause, Kai Essig, Li-Ying Essig-Shih, Thomas Schack
Subspace-Based Face Recognition on an FPGA
Pablo Pizarro, Miguel Figueroa
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery
Ioannis Stephanakis, George Anastassopoulos, Lazaros Iliadis

Financial and Management Applications of AI

Neural Network Rule Extraction to Detect Credit Card Fraud
Nick Ryman-Tubb, Paul Krause

Fuzzy Systems

A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System
D. Rao, Lazaros Iliadis, Stefanos Spartalis
Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems
Mario Malcangi

Support Vector Machines

Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy
Ching-Lu Hsieh, Chao-Yung Hung, Ching-Yun Kuo
Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation
Lazaros Iliadis, Stavros Tachos, Stavros Avramidis, Shawn Mansfield

Learning and Novel Algorithms

Time-Frequency Analysis of Hot Rolling Using Manifold Learning
Francisco García, Ignacio Díaz, Ignacio Álvarez, Daniel Pérez, Daniel Ordonez, Manuel Domínguez

Reinforcement and Radial Basis Function ANN

Application of Radial Bases Function Network and Response Surface Method to Quantify Compositions of Raw Goat Milk with Visible/Near Infrared Spectroscopy
Ching-Lu Hsieh, Chao-Yung Hung, Mei-Jen Lin
Transferring Models in Hybrid Reinforcement Learning Agents
Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis Vlahavas

Machine Learning

Anomaly Detection from Network Logs Using Diffusion Maps
Tuomo Sipola, Antti Juvonen, Joel Lehtonen
Large datasets: a mixed method to adapt and improve their learning by neural networks used in regression contexts
Marc Sauget, Julien Henriet, Michel Salomon, Sylvain Contassot-Vivier

Evolutionary Genetic Algorithms - Optimization

Evolutionary Algorithm Optimization of Edge Delivery Sites in Next Generation Multi-service Content Distribution Networks
Ioannis Stephanakis, Dimitrios Logothetis
Application of Neural Networks to Morphological Assessment in Bovine Livestock
Horacio González-Velasco, Carlos García-Orellana, Miguel Macías-Macías, Ramón Gallardo-Caballero, Antonio García-Manso

Web Applications of ANN

Object Segmentation Using Multiple Neural Networks for Commercial Offers Visual Search
I. Gallo, A. Nodari, M. Vanetti

Spiking ANN

Method for Training a Spiking Neuron to Associate Input-Output Spike Trains
Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola Kasabov

Feature Extraction - Minimization

Two Different Approaches of Feature Extraction for Classifying the EEG Signals
Pari Jahankhani, Juan Lara, Aurora Pérez, Juan Valente
An Ensemble Based Approach for Feature Selection
Behrouz Minaei-Bidgoli, Maryam Asadi, Hamid Parvin
A new feature extraction method based on clustering for face recognition
S. El Ferchichi, K. Laabidi, S. Zidi, M. Ksouri, S. Maouche

Medical Applications of AI

A Recurrent Neural Network Approach for Predicting Glucose Concentration in Type-1 Diabetic Patients
Fayrouz Allam, Zaki Nossai, Hesham Gomma, Ibrahim Ibrahim, Mona Abdelsalam
Segmentation of Breast Ultrasound Images Using Neural Networks
Ahmed Othman, Hamid Tizhoosh
Knowledge Discovery and Risk Prediction for Chronic Diseases: An Integrated Approach
Anju Verma, Maurizio Fiasché, Maria Cuzzola, Francesco Morabito, Giuseppe Irrera
Permutation Entropy for Discriminating ‘Conscious’ and ‘Unconscious’ State in General Anesthesia
Nicoletta Nicolaou, Saverios Houris, Pandelitsa Alexandrou, Julius Georgiou

Environmental and Earth Applications of AI

Determining Soil – Water Content by Data Driven Modeling When Relatively Small Data Sets Are Available
Milan Cisty
A Neural Based Approach and Probability Density Approximation for Fault Detection and Isolation in Nonlinear Systems
P. Boi, A. Montisci
A Neural Network Tool for the Interpolation of foF2 Data in the Presence of Sporadic E Layer
Haris Haralambous, Antonis Ioannou, Harris Papadopoulos

Multi Layer ANN

Neural Networks Approach to Optimization of Steel Alloys Composition
Petia Koprinkova-Hristova, Nikolay Tontchev, Silviya Popova
Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies
Marisa Masvoula, Constantine Halatsis, Drakoulis Martakos
Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks
Manuel Cruz, Jorge Santos, Nuno Cruz
NNIGnets, Neural Networks Software
Tânia Fontes, Vânia Lopes, Luís Silva, Jorge Santos, Joaquim Marques de Sá
Key Learnings from Twenty Years of Neural Network Applications in the Chemical Industry
Aaron Owens


Incremental – Adaptive – Knowledge Based – Learning for Informative Rules Extraction in Classification Analysis of aGvHD
Maurizio Fiasché, Anju Verma, Maria Cuzzola, Francesco Morabito, Giuseppe Irrera

The Applications of Soft Computing to Telecommunications (ASCOTE) Workshop

An Intelligent Approach to Detect Probe Request Attacks in IEEE 802.11 Networks
Deepthi Ratnayake, Hassan Kazemian, Syed Yusuf, Azween Abdullah
An Intelligent Keyboard Framework for Improving Disabled People Computer Accessibility
Karim Ouazzane, Jun Li, Hassan Kazemian
Finding 3G Mobile Network Cells with Similar Radio Interface Quality Problems
Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen
Analyzing 3G Quality Distribution Data with Fuzzy Rules and Fuzzy Clustering
Pekka Kumpulainen, Mika Särkioja, Mikko Kylväjä, Kimmo Hätönen
Adaptive Service Composition for Meta-searching in a Mobile Environment
Ronnie Cheung, Hassan Kazemian
Simulation of Web Data Traffic Patterns Using Fractal Statistical Modelling
Shanyu Tang, Hassan Kazemian

Computational Intelligence Applications in Bioinformatics (CIAB) Workshop

Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System
Dimitra-Despoina Pagania, Adam Adamopoulos, Spiridon Likothanassis
Towards Optimal Microarray Universal Reference Sample Designs: An In-Silico Optimization Approach
George Potamias, Sofia Kaforou, Dimitris Kafetzopoulos
Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles
E. Christodoulou, O. Røe, A. Folarin, I. Tsamardinos
Optimizing Filter Processes on Protein Interaction Clustering Results Using Genetic Algorithms
Charalampos Moschopoulos, Grigorios Beligiannis, Sophia Kossida, Spiridon Likothanassis
Adaptive Filtering Techniques Combined with Natural Selection-Based Heuristic Algorithms in the Prediction of Protein-Protein Interactions
Christos Dimitrakopoulos, Konstantinos Theofilatos, Efstratios Georgopoulos, Spyridon Likothanassis, Athanasios Tsakalidis, Seferina Mavroudi

Informatics and Intelligent Systems Applications for Quality of Life information Services (ISQLIS) Workshop

Investigation of Medication Dosage Influences from Biological Weather
Kostas Karatzas, Marina Riga, Dimitris Voukantsis, Åslög Dahl
Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators
Lazaros Iliadis, Kyriaki Kitikidou
An Artificial Intelligence-Based Environment Quality Analysis System
Mihaela Oprea, Lazaros Iliadis
Personalized Information Services for Quality of Life: The Case of Airborne Pollen Induced Symptoms
Dimitris Voukantsis, Kostas Karatzas, Siegfried Jaeger, Uwe Berger
Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus
Xanthos Papakonstantinou, Lazaros Iliadis, Elias Pimenidis, Fotis Maris



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