Engineering Applications of Neural Networks

18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017, Proceedings

  • Giacomo Boracchi
  • Lazaros Iliadis
  • Chrisina Jayne
  • Aristidis Likas
Conference proceedings EANN 2017

Part of the Communications in Computer and Information Science book series (CCIS, volume 744)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. ANN in Engineering Applications

    1. Front Matter
      Pages 1-1
    2. Shun Shibata, Yukimasa Kaneda, Hiroshi Mineno
      Pages 3-14
    3. Antonio Morán, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes, Ignacio Díaz, Manuel Domínguez
      Pages 15-26
    4. Cosimo Ieracitano, Fabiola Pantò, Patrizia Frontera, Francesco Carlo Morabito
      Pages 27-38
    5. N. Varsha Prasad, Sriharini Tumu, A. Ruhan Bevi
      Pages 49-60
  3. Classification Pattern Recognition

    1. Front Matter
      Pages 61-61
    2. Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis Pintelas
      Pages 63-74
    3. Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George Gravvanis
      Pages 75-86
    4. Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne
      Pages 87-98
    5. Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis
      Pages 99-110
    6. Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
      Pages 111-121
    7. Konstantinos Demertzis, Lazaros Iliadis, Stefanos Spartalis
      Pages 122-134
  4. Deep Learning Convolutional ANN

    1. Front Matter
      Pages 135-135
    2. Alan Mosca, George D. Magoulas
      Pages 137-148
    3. Kazuhiko Takahashi, Iwao Sugimoto
      Pages 160-167
    4. Rafael Torres, Daniele Battaglino, Ludovick Lepauloux
      Pages 168-179
  5. Deep Learning Image Analysis

    1. Front Matter
      Pages 181-181
    2. Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje
      Pages 183-193
    3. Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne
      Pages 216-226
  6. Fuzzy - Neuro Fuzzy

    1. Front Matter
      Pages 227-227
    2. George E. Tsekouras, Vasilis Trygonis, Anastasios Rigos, Antonios Chatzipavlis, Dimitrios Tsolakis, Adonis F. Velegrakis
      Pages 229-241
    3. Panagiotis Pagouropoulos, Christos D. Tzimopoulos, Basil K. Papadopoulos
      Pages 242-255
    4. Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo
      Pages 256-264
  7. Learning Generalization

    1. Front Matter
      Pages 265-265
    2. Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki
      Pages 267-278
    3. Alan J. Thomas, Miltos Petridis, Simon D. Walters, Saeed Malekshahi Gheytassi, Robert E. Morgan
      Pages 279-290
    4. Alexandros Nikolakakis, Dimitris Kalles
      Pages 291-302
    5. Stavros Ntalampiras, Ilyas Potamitis
      Pages 303-313
    6. S. V. Georgakopoulos, V. P. Plagianakos
      Pages 327-336
  8. Learning in Financial applications

    1. Front Matter
      Pages 349-349
    2. Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas
      Pages 351-362
    3. Torkil Aamodt, Jim Torresen
      Pages 363-375
  9. Medical AI Applications

    1. Front Matter
      Pages 377-377
    2. Michael D. Vasilakakis, Dimitris K. Iakovidis, Evaggelos Spyrou, Dimitris Chatzis, Anastasios Koulaouzidis
      Pages 379-390
    3. Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis
      Pages 391-403
    4. S. V. Georgakopoulos, K. Kottari, K. Delibasis, V. P. Plagianakos, I. Maglogiannis
      Pages 404-414
  10. Optimization Data Mining

    1. Front Matter
      Pages 415-415
    2. Alexandros Tzanetos, Georgios Dounias
      Pages 417-428
    3. Jose Simmonds, Juan A. Gómez, Agapito Ledezma
      Pages 429-440
    4. Ioannis M. Stephanakis, Theodoros Iliou, George Anastassopoulos
      Pages 441-450
    5. Amelia Bădică, Costin Bădică, Florin Leon, Daniela Dănciulescu
      Pages 451-464
    6. Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos Sgarbas, Junhua Li, Yu Sun et al.
      Pages 465-474
  11. Recommendation Systems

    1. Front Matter
      Pages 475-475

About these proceedings


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).


algorithms applied computing artificial intelligence classification cloud computing computational intelligence computer crime convolutional neural networks deep learning image processing learning algorithms machine learning neural networks signal processing supervised learning Support Vector Machines (SVM) wireless networks

Editors and affiliations

  • Giacomo Boracchi
    • 1
  • Lazaros Iliadis
    • 2
  • Chrisina Jayne
    • 3
  • Aristidis Likas
    • 4
  1. 1.Politecnico di MilanoMilanItaly
  2. 2.Democritus University of Thrace, University CampusXanthiGreece
  3. 3.School of Computing Science and Digital MediaRobert Gordon UniversityAberdeenUnited Kingdom
  4. 4.Univesity of IoanninaIoanninaGreece

Bibliographic information