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Machine Learning, Optimization, and Data Science

4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers

  • Giuseppe Nicosia
  • Panos Pardalos
  • Giovanni Giuffrida
  • Renato Umeton
  • Vincenzo Sciacca
Conference proceedings LOD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11331)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11331)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Sergio Decherchi, Andrea Cavalli
    Pages 14-25
  3. Alessio Petrozziello, Ivan Jordanov
    Pages 26-37
  4. Mateusz Pawluk, Paweł Teisseyre, Jan Mielniczuk
    Pages 51-63
  5. Sebastián Vivas, Carlos Cobos, Martha Mendoza
    Pages 64-76
  6. Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt
    Pages 92-103
  7. Jussi Hakanen, Jose Malmberg, Vesa Ojalehto, Kyle Eyvindson
    Pages 104-115
  8. Victor Gergel, Vladimir Grishagin, Ruslan Israfilov
    Pages 129-140
  9. Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor
    Pages 141-153
  10. Danny D’Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
    Pages 154-165
  11. Pierangela Bruno, Francesco Calimeri, Aldo Marzullo
    Pages 166-178
  12. Margarida Sousa, Alexandra M. Carvalho
    Pages 179-190
  13. Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck
    Pages 191-203
  14. Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor
    Pages 204-216
  15. Stéphane Chrétien, Christophe Guyeux, Zhen-Wai Olivier Ho
    Pages 231-242
  16. Eva Jabbar, Philippe Besse, Jean-Michel Loubes, Nathalie Barbosa Roa, Christophe Merle, Rémi Dettai
    Pages 254-263
  17. Andrea Asperti, Daniele Cortesi, Francesco Sovrano
    Pages 264-275
  18. José Rigoberto Gabriel-Argüelles, Martha Lorena Avendaño-Garrido, Luis Antonio Montero, Juan González-Hernández
    Pages 282-292
  19. Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli
    Pages 293-304
  20. Sergio Consoli, Monique Hendriks, Pieter Vos, Jacek Kustra, Dimitrios Mavroeidis, Ralf Hoffmann
    Pages 305-316
  21. Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Marius Doornenbal, Sophia Katrenko, Michelle Gregory
    Pages 317-328
  22. Daniel N. Nissani (Nissensohn)
    Pages 341-356
  23. Mathias Bourel, Eduardo Canale, Franco Robledo, Pablo Romero, Luis Stábile
    Pages 357-367
  24. Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, Yannis Marinakis, Athanasios Migdalas
    Pages 381-393
  25. Rui Claro, José Portêlo, Miguel L. Pardal, Raquel Pinho
    Pages 394-405
  26. Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni
    Pages 406-417
  27. Robinson Duque, Alejandro Arbelaez, Juan Francisco Díaz
    Pages 418-430
  28. Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga
    Pages 431-440
  29. Evgeniy M. Ozhegov, Daria Teterina
    Pages 441-446
  30. Christian Sánchez-Sánchez, Leonid B. Sheremetov
    Pages 447-459
  31. Hessel Tuinhof, Clemens Pirker, Markus Haltmeier
    Pages 472-481
  32. Jia He, Maggie X. Cheng, Yixin Fang, Mariesa L. Crow
    Pages 482-493
  33. Radhika Nath, M. Manjunathaiah
    Pages 494-505
  34. Alberto Castellini, Giuditta Franco
    Pages 506-519
  35. Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen
    Pages 520-532
  36. Back Matter
    Pages 561-562

About these proceedings

Introduction

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.
The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence,  reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Keywords

deep learning machine learning reinforcement learning neural networks deep reinforcement learning optimization global optimization multi-Objective optimization computational optimization data sience big data data analytics artificial intelligence

Editors and affiliations

  • Giuseppe Nicosia
    • 1
  • Panos Pardalos
    • 2
  • Giovanni Giuffrida
    • 3
  • Renato Umeton
    • 4
  • Vincenzo Sciacca
    • 5
  1. 1.University of Catania, Catania, Italy and University of ReadingReadingUK
  2. 2.University of FloridaGainesvilleUSA
  3. 3.University of CataniaCataniaItaly
  4. 4.Harvard UniversityCambridgeUSA
  5. 5.IBM, Tivoli Research LabRomeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-13709-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-13708-3
  • Online ISBN 978-3-030-13709-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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