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Recent Advances in Big Data and Deep Learning

Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019

  • Luca Oneto
  • Nicolò Navarin
  • Alessandro Sperduti
  • Davide Anguita
Conference proceedings INNSBDDL 2019

Part of the Proceedings of the International Neural Networks Society book series (INNS, volume 1)

Table of contents

  1. Front Matter
    Pages i-x
  2. Jeff Hajewski, Suely Oliveira
    Pages 7-16
  3. Tomaso Cetto, Jonathan Byrne, Xiaofan Xu, David Moloney
    Pages 17-26
  4. Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino
    Pages 27-37
  5. Nathan Watt, Mathys C. du Plessis
    Pages 38-47
  6. Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli
    Pages 48-57
  7. Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi
    Pages 78-88
  8. Hong-Jun Yoon, John X. Qiu, J. Blair Christian, Jacob Hinkle, Folami Alamudun, Georgia Tourassi
    Pages 89-98
  9. Vincenzo Crescimanna, Bruce Graham
    Pages 99-108
  10. Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva
    Pages 109-119
  11. Roberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa et al.
    Pages 120-125
  12. Luca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita
    Pages 136-141
  13. Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
    Pages 142-151
  14. Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita
    Pages 152-157
  15. Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng
    Pages 158-168
  16. Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini
    Pages 169-179
  17. Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
    Pages 180-185
  18. Imene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet
    Pages 186-195
  19. Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung
    Pages 196-205
  20. Udo Schlegel, Wolfgang Jentner, Juri Buchmueller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa et al.
    Pages 206-215
  21. Viviana Pinto, Alan Perotti, Tania Cerquitelli
    Pages 216-225
  22. Philipp Rehlaender, Maik Schroeer, Gavneet Chadha, Andreas Schwung
    Pages 226-235
  23. Davide Bacciu, Antonio Bruno
    Pages 236-245
  24. Wilhelm E. Sorteberg, Stef Garasto, Chris C. Cantwell, Anil A. Bharath
    Pages 246-256
  25. Stephen Green, Ivan Tyukin, Alexander Gorban
    Pages 276-285
  26. Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed-Mouchaweh
    Pages 296-308
  27. Věra Kůrková, Marcello Sanguineti
    Pages 309-319
  28. Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo
    Pages 320-329
  29. Jessica Cooper, Ognjen Arandjelović
    Pages 330-340
  30. Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
    Pages 359-369
  31. Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
    Pages 370-379
  32. Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
    Pages 380-390
  33. Back Matter
    Pages 391-392

About these proceedings

Introduction

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.

 


Keywords

Big Data Deep Learning Neural Networks INNS Big Data and Deep Learning 2019 INNSBDDL2019

Editors and affiliations

  • Luca Oneto
    • 1
  • Nicolò Navarin
    • 2
  • Alessandro Sperduti
    • 3
  • Davide Anguita
    • 4
  1. 1.Department of Informatics, Bioengineering, Robotics, and Systems EngineeringUniversity of GenovaGenoaItaly
  2. 2.Department of MathematicsUniversity of PadovaPaduaItaly
  3. 3.Department of MathematicsUniversity of PadovaPaduaItaly
  4. 4.Department of Informatics, Bioengineering, Robotics, and Systems EngineeringUniversity of GenovaGenoaItaly

Bibliographic information

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