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About this book

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017.

The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

Table of Contents

Frontmatter

ANN in Engineering Applications

Frontmatter

2017 | OriginalPaper | Chapter

Motion-Specialized Deep Convolutional Descriptor for Plant Water Stress Estimation

Shun Shibata, Yukimasa Kaneda, Hiroshi Mineno

2017 | OriginalPaper | Chapter

Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders

Antonio Morán, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes, Ignacio Díaz, Manuel Domínguez

2017 | OriginalPaper | Chapter

A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers

Cosimo Ieracitano, Fabiola Pantò, Patrizia Frontera, Francesco Carlo Morabito

2017 | OriginalPaper | Chapter

Using Advanced Audio Generating Techniques to Model Electrical Energy Load

Michal Farkas, Peter Lacko

2017 | OriginalPaper | Chapter

Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystem

N. Varsha Prasad, Sriharini Tumu, A. Ruhan Bevi

Classification Pattern Recognition

Frontmatter

2017 | OriginalPaper | Chapter

DSS-PSP - A Decision Support Software for Evaluating Students’ Performance

Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis Pintelas

2017 | OriginalPaper | Chapter

Predicting Student Performance in Distance Higher Education Using Active Learning

Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George Gravvanis

2017 | OriginalPaper | Chapter

Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings

Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne

2017 | OriginalPaper | Chapter

Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning

Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis

2017 | OriginalPaper | Chapter

Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems

Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis

2017 | OriginalPaper | Chapter

A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems

Konstantinos Demertzis, Lazaros Iliadis, Stefanos Spartalis

Deep Learning Convolutional ANN

Frontmatter

2017 | OriginalPaper | Chapter

Boosted Residual Networks

Alan Mosca, George D. Magoulas

2017 | OriginalPaper | Chapter

A Convolutional Approach to Multiword Expression Detection Based on Unsupervised Distributed Word Representations and Task-Driven Embedding of Lexical Features

Tiberiu Boros, Stefan Daniel Dumitrescu

2017 | OriginalPaper | Chapter

Remarks on Tea Leaves Aroma Recognition Using Deep Neural Network

Kazuhiko Takahashi, Iwao Sugimoto

2017 | OriginalPaper | Chapter

Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach

Rafael Torres, Daniele Battaglino, Ludovick Lepauloux

Deep Learning Image Analysis

Frontmatter

2017 | OriginalPaper | Chapter

Deep Convolutional Neural Networks for Fire Detection in Images

Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje

2017 | OriginalPaper | Chapter

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization

Nikolaos Passalis, Anastasios Tefas

2017 | OriginalPaper | Chapter

Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition

Paraskevi Nousi, Anastasios Tefas

2017 | OriginalPaper | Chapter

Fish Classification in Context of Noisy Images

Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne

Fuzzy - Neuro Fuzzy

Frontmatter

2017 | OriginalPaper | Chapter

Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece

George E. Tsekouras, Vasilis Trygonis, Anastasios Rigos, Antonios Chatzipavlis, Dimitrios Tsolakis, Adonis F. Velegrakis

2017 | OriginalPaper | Chapter

A Method for the Detection of the Most Suitable Fuzzy Implication for Data Applications

Panagiotis Pagouropoulos, Christos D. Tzimopoulos, Basil K. Papadopoulos

2017 | OriginalPaper | Chapter

Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings

Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo

Learning Generalization

Frontmatter

2017 | OriginalPaper | Chapter

Application of Asymmetric Networks to Movement Detection and Generating Independent Subspaces

Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki

2017 | OriginalPaper | Chapter

Two Hidden Layers are Usually Better than One

Alan J. Thomas, Miltos Petridis, Simon D. Walters, Saeed Malekshahi Gheytassi, Robert E. Morgan

2017 | OriginalPaper | Chapter

Neural Networks as a Learning Component for Designing Board Games

Alexandros Nikolakakis, Dimitris Kalles

2017 | OriginalPaper | Chapter

Emotion Prediction of Sound Events Based on Transfer Learning

Stavros Ntalampiras, Ilyas Potamitis

2017 | OriginalPaper | Chapter

Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization

S. P. Adam, A. C. Likas, M. N. Vrahatis

2017 | OriginalPaper | Chapter

A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training

S. V. Georgakopoulos, V. P. Plagianakos

2017 | OriginalPaper | Chapter

Sparsity of Shallow Networks Representing Finite Mappings

Věra Kůrková

Learning in Financial applications

Frontmatter

2017 | OriginalPaper | Chapter

Using Active Learning Methods for Predicting Fraudulent Financial Statements

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas

2017 | OriginalPaper | Chapter

Comparing Neural Networks for Predicting Stock Markets

Torkil Aamodt, Jim Torresen

Medical AI Applications

Frontmatter

2017 | OriginalPaper | Chapter

Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos

Michael D. Vasilakakis, Dimitris K. Iakovidis, Evaggelos Spyrou, Dimitris Chatzis, Anastasios Koulaouzidis

2017 | OriginalPaper | Chapter

Assessment of Parkinson’s Disease Based on Deep Neural Networks

Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis

2017 | OriginalPaper | Chapter

Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning

S. V. Georgakopoulos, K. Kottari, K. Delibasis, V. P. Plagianakos, I. Maglogiannis

Optimization Data Mining

Frontmatter

2017 | OriginalPaper | Chapter

A New Metaheuristic Method for Optimization: Sonar Inspired Optimization

Alexandros Tzanetos, Georgios Dounias

2017 | OriginalPaper | Chapter

Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin

Jose Simmonds, Juan A. Gómez, Agapito Ledezma

2017 | OriginalPaper | Chapter

Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets

Ioannis M. Stephanakis, Theodoros Iliou, George Anastassopoulos

2017 | OriginalPaper | Chapter

Optimization of Freight Transportation Brokerage Using Agents and Constraints

Amelia Bădică, Costin Bădică, Florin Leon, Daniela Dănciulescu

2017 | OriginalPaper | Chapter

Driving Mental Fatigue Classification Based on Brain Functional Connectivity

Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos

Recommendation Systems

Frontmatter

2017 | OriginalPaper | Chapter

A Package Recommendation Framework Based on Collaborative Filtering and Preference Score Maximization

Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis

2017 | OriginalPaper | Chapter

Deriving Business Recommendations for Franchises Using Competitive Learning Driven MLP-Based Clustering

Haidar Almohri, Ratna Babu Chinnam

2017 | OriginalPaper | Chapter

The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems

Orestis Nalmpantis, Christos Tjortjis

2017 | OriginalPaper | Chapter

Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction

Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Haralambos Mouratidis

Robotics and Machine Vision

Frontmatter

2017 | OriginalPaper | Chapter

Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters

Vedang Chauhan, Keyur D. Joshi, Brian Surgenor

2017 | OriginalPaper | Chapter

Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves

Doina Logofatu, Gil Sobol, Daniel Stamate

2017 | OriginalPaper | Chapter

A Neural Circuit for Acoustic Navigation Combining Heterosynaptic and Non-synaptic Plasticity That Learns Stable Trajectories

Danish Shaikh, Poramate Manoonpong

MHDW2017

Frontmatter

2017 | OriginalPaper | Chapter

An Implementation of Disease Spreading over Biological Networks

Nickie Lefevr, Spiridoula Margariti, Andreas Kanavos, Athanasios Tsakalidis

2017 | OriginalPaper | Chapter

Combining LSTM and Feed Forward Neural Networks for Conditional Rhythm Composition

Dimos Makris, Maximos Kaliakatsos-Papakostas, Ioannis Karydis, Katia Lida Kermanidis

2017 | OriginalPaper | Chapter

Efficient Identification of k-Closed Strings

Hayam Alamro, Mai Alzamel, Costas S. Iliopoulos, Solon P. Pissis, Steven Watts, Wing-Kin Sung

2017 | OriginalPaper | Chapter

Bloom Filters for Efficient Coupling Between Tables of a Database

Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios Tsakalidis

2017 | OriginalPaper | Chapter

A Random Forest Method to Detect Parkinson’s Disease via Gait Analysis

Koray Açıcı, Çağatay Berke Erdaş, Tunç Aşuroğlu, Münire Kılınç Toprak, Hamit Erdem, Hasan Oğul

2017 | OriginalPaper | Chapter

Efficient Computation of Palindromes in Sequences with Uncertainties

Mai Alzamel, Jia Gao, Costas S. Iliopoulos, Chang Liu, Solon P. Pissis

2017 | OriginalPaper | Chapter

A Genetic Algorithm for Discovering Linguistic Communities in Spatiosocial Tensors with an Application to Trilingual Luxemburg

Georgios Drakopoulos, Fotini Stathopoulou, Giannis Tzimas, Michael Paraskevas, Phivos Mylonas, Spyros Sioutas

2017 | OriginalPaper | Chapter

Analyzing the Mobile Learning System Behavior: The Case of the Russian Verbs of Motion

Oxana Kalita, Vladimir Denisenko, Anatoly Tryapelnikov, Fotis Nanopoulos, Georgios Pavlidis

5GPINE2017

Frontmatter

2017 | OriginalPaper | Chapter

Implications of Multi-tenancy upon RRM/Self-x Functions Supporting Mobility Control

Ioannis Chochliouros, Oriol Sallent, Jordi Pérez-Romero, Anastasia S. Spiliopoulou, Athanassios Dardamanis

2017 | OriginalPaper | Chapter

Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G

Ruben Solozabal, Bego Blanco, Jose Oscar Fajardo, Ianire Taboada, Fidel Liberal, Elisa Jimeno, Javier G. Lloreda

2017 | OriginalPaper | Chapter

On Introducing Knowledge Discovery Capabilities in Cloud-Enabled Small Cells

Jordi Pérez-Romero, Juan Sánchez-González, Oriol Sallent, Alan Whitehead

2017 | OriginalPaper | Chapter

Are Small Cells and Network Intelligence at the Edge the Drivers for 5G Market Adoption? The SESAME Case

Ioannis Neokosmidis, Theodoros Rokkas, Ioannis P. Chochliouros, Leonardo Goratti, Haralambos Mouratidis, Karim M. Nasr, Seiamak Vahid, Klaus Moessner, Antonino Albanese, Paolo Secondo Crosta, Pietro Paglierani

2017 | OriginalPaper | Chapter

Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach

Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Alexandros Kostopoulos, Maria Belesioti, Evangelos Sfakianakis, Philippos Georgantas, Eirini Vasilaki, Ioannis Neokosmidis, Theodoros Rokkas, Athanassios Dardamanis

2017 | OriginalPaper | Chapter

Inclusion of “Self-x” Properties in the SESAME-Based Wireless Backhaul for Support of Higher Performance

Ioannis P. Chochliouros, Alan Whitehead, Oriol Sallent, Jordi Pérez-Romero, Anastasia S. Spiliopoulou, Athanassios Dardamanis

2017 | OriginalPaper | Chapter

The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem

Leonardo Goratti, C. E. Costa, Jordi Perez-Romero, P. S. Khodashenas, Alan Whitehead, Ioannis Chochliouros

Backmatter

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