© 2020

Recent Trends in Learning From Data

Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)

  • Luca Oneto
  • Nicolò Navarin
  • Alessandro Sperduti
  • Davide Anguita

Part of the Studies in Computational Intelligence book series (SCI, volume 896)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
    Pages 1-4
  3. Paolo Ferragina, Giorgio Vinciguerra
    Pages 5-41
  4. Claudio Gallicchio, Simone Scardapane
    Pages 43-68
  5. Ilya Kisil, Giuseppe G. Calvi, Bruno Scalzo Dees, Danilo P. Mandic
    Pages 69-97
  6. Davide Bacciu, Alessio Micheli
    Pages 99-127
  7. Věra Kůrková
    Pages 129-154
  8. Luca Oneto, Silvia Chiappa
    Pages 155-196
  9. German I. Parisi, Vincenzo Lomonaco
    Pages 197-221

About this book


This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.


Deep Learning for Graphs Feedforward neural networks Applications of tensor decomposition Continual learning models Learned data structures Causal bayesian networks Online continual learning Deep learning models Sparsity of shallow networks Growing neural networks Searching problems Learned indexes Random weights Kruskal tensor Tucker form with multilinear rank

Editors and affiliations

  • Luca Oneto
    • 1
  • Nicolò Navarin
    • 2
  • Alessandro Sperduti
    • 3
  • Davide Anguita
    • 4
  1. 1.DIBRISUniversity of GenoaGenovaItaly
  2. 2.Department of Mathematics “Tullio Levi-Civita”University of PaduaPadovaItaly
  3. 3.Department of Mathematics “Tullio Levi-Civita”University of PaduaPadovaItaly
  4. 4.DIBRISUniversità degli Studi di GenovaGenovaItaly

Bibliographic information

  • Book Title Recent Trends in Learning From Data
  • Book Subtitle Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
  • Editors Luca Oneto
    Nicolò Navarin
    Alessandro Sperduti
    Davide Anguita
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Hardcover ISBN 978-3-030-43882-1
  • Softcover ISBN 978-3-030-43885-2
  • eBook ISBN 978-3-030-43883-8
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages VII, 221
  • Number of Illustrations 26 b/w illustrations, 55 illustrations in colour
  • Topics Computational Intelligence
    Machine Learning
    Data Engineering
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences