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  • Conference proceedings
  • © 2020

Machine Learning, Optimization, and Data Science

6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part I

Conference proceedings info: LOD 2020.

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Table of contents (64 papers)

  1. Front Matter

    Pages i-xxxvii
  2. Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold

    • Stéphane Chrétien, Benjamin Guedj
    Pages 1-12
  3. Machine Learning Application to Family Business Status Classification

    • Giorgio Gnecco, Stefano Amato, Alessia Patuelli, Nicola Lattanzi
    Pages 25-36
  4. Using Hessians as a Regularization Technique

    • Adel Rahimi, Tetiana Kodliuk, Othman Benchekroun
    Pages 37-40
  5. Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1

    • Majid Jahani, Mohammadreza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takáč
    Pages 41-54
  6. Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?

    • Falco Bargagli-Stoffi, Gustavo Cevolani, Giorgio Gnecco
    Pages 55-59
  7. Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models

    • Alberto Cenzato, Alberto Testolin, Marco Zorzi
    Pages 83-94
  8. Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data

    • Filippo M. Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco S. Pavone
    Pages 95-99
  9. Methods for Hyperparameters Optimization in Learning Approaches: An Overview

    • Nicoletta Del Buono, Flavia Esposito, Laura Selicato
    Pages 100-112
  10. Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images

    • Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice et al.
    Pages 113-124
  11. Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis

    • Cláudia Constantino, Alexandra M. Carvalho, Susana Vinga
    Pages 125-136
  12. Learning More Expressive Joint Distributions in Multimodal Variational Methods

    • Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
    Pages 137-149
  13. Estimating the \(F_1\) Score for Learning from Positive and Unlabeled Examples

    • Seyed Amin Tabatabaei, Jan Klein, Mark Hoogendoorn
    Pages 150-161
  14. Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast

    • Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero
    Pages 162-176
  15. A Stochastic Optimization Model for Frequency Control and Energy Management in a Microgrid

    • Dhekra Bousnina, Welington de Oliveira, Peter Pflaum
    Pages 177-189
  16. Using the GDELT Dataset to Analyse the Italian Sovereign Bond Market

    • Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti
    Pages 190-202Open Access

Other Volumes

  1. Machine Learning, Optimization, and Data Science

About this book

This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020.

The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Editors and Affiliations

  • University of Catania, Catania, Italy

    Giuseppe Nicosia, Giovanni Giuffrida

  • University of Reading, Reading, UK

    Varun Ojha

  • University of Oxford, Oxford, UK

    Emanuele La Malfa

  • University of Cambridge, Cambridge, UK

    Giorgio Jansen

  • Almawave, Rome, Italy

    Vincenzo Sciacca

  • University of Florida, Gainesville, USA

    Panos Pardalos

  • Harvard University, Cambridge, USA

    Renato Umeton

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access