Skip to main content
SpringerLink
Log in
Book cover

Machine Learning, Optimization, and Data Science

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Giuseppe Nicosia

    1. University of Catania, Catania, Italy and University of Reading, Reading, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Panos Pardalos

    1. University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Giovanni Giuffrida

    1. University of Catania, Catania, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Renato Umeton

    1. Harvard University, Cambridge, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Vincenzo Sciacca

    1. IBM, Tivoli Research Lab, Rome, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: LOD 2018.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (46 papers)

  1. Front Matter

    Pages I-XXII
    Download chapter PDF

  2. Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG

    • Andrea Patanè, Marta Kwiatkowska
    Pages 1-13

  3. Simple Learning with a Teacher via Biased Regularized Least Squares

    • Sergio Decherchi, Andrea Cavalli
    Pages 14-25

  4. Feature Based Multivariate Data Imputation

    • Alessio Petrozziello, Ivan Jordanov
    Pages 26-37

  5. Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts

    • David Sotelo, Daniela Velásquez, Carlos Cobos, Martha Mendoza, Luis Gómez
    Pages 38-50

  6. Information-Theoretic Feature Selection Using High-Order Interactions

    • Mateusz Pawluk, PaweÅ‚ Teisseyre, Jan Mielniczuk
    Pages 51-63

  7. Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier

    • Sebastián Vivas, Carlos Cobos, Martha Mendoza
    Pages 64-76

  8. A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics

    • Reza Shahbazian, Lucio Grandinetti, Francesca Guerriero
    Pages 77-91

  9. Generating Term Weighting Schemes Through Genetic Programming

    • Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt
    Pages 92-103

  10. Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

    • Jussi Hakanen, Jose Malmberg, Vesa Ojalehto, Kyle Eyvindson
    Pages 104-115

  11. Data Science in the Business Environment: Skills Analytics for Curriculum Development

    • Jing Lu
    Pages 116-128

  12. Adaptive Dimensionality Reduction in Multiobjective Optimization with Multiextremal Criteria

    • Victor Gergel, Vladimir Grishagin, Ruslan Israfilov
    Pages 129-140

  13. REFINE: Representation Learning from Diffusion Events

    • Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor
    Pages 141-153

  14. Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods

    • Danny D’Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
    Pages 154-165

  15. Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling

    • Pierangela Bruno, Francesco Calimeri, Aldo Marzullo
    Pages 166-178

  16. Learning Consistent Tree-Augmented Dynamic Bayesian Networks

    • Margarida Sousa, Alexandra M. Carvalho
    Pages 179-190

  17. Designing Ships Using Constrained Multi-objective Efficient Global Optimization

    • Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck
    Pages 191-203

  18. A New Approach to Measuring Distances in Dense Graphs

    • Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor
    Pages 204-216

  19. Ant Colony Optimization for Markov Blanket-Based Feature Selection. Application for Precision Medicine

    • Christine Sinoquet, Clément Niel
    Pages 217-230

  20. Average Performance Analysis of the Stochastic Gradient Method for Online PCA

    • Stéphane Chrétien, Christophe Guyeux, Zhen-Wai Olivier Ho
    Pages 231-242
Back to top

Other volumes

  1. Machine Learning, Optimization, and Data Science

Keywords

About this book

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.



Editors and Affiliations

  • University of Catania, Catania, Italy and University of Reading, Reading, UK

    Giuseppe Nicosia

  • University of Florida, Gainesville, USA

    Panos Pardalos

  • University of Catania, Catania, Italy

    Giovanni Giuffrida

  • Harvard University, Cambridge, USA

    Renato Umeton

  • IBM, Tivoli Research Lab, Rome, Italy

    Vincenzo Sciacca

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation