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  • © 2020

Machine Learning, Optimization, and Data Science

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

Conference proceedings info: LOD 2020.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xxxviii
  2. Generative Fourier-Based Auto-encoders: Preliminary Results

    • Alessandro Zonta, Ali El Hassouni, David W. Romero, Jakub M. Tomczak
    Pages 12-15
  3. Parameterized Structured Pruning for Deep Neural Networks

    • Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning
    Pages 16-27
  4. FoodViz: Visualization of Food Entities Linked Across Different Standards

    • Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Koroušić Seljak, Tome Eftimov
    Pages 28-38
  5. Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization

    • Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler
    Pages 39-64
  6. Learning Controllers for Adaptive Spreading of Carbon Fiber Tows

    • Julia Krützmann, Alexander Schiendorfer, Sergej Beratz, Judith Moosburger-Will, Wolfgang Reif, Siegfried Horn
    Pages 65-77
  7. Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

    • Alper Yegenoglu, Kai Krajsek, Sandra Diaz Pier, Michael Herty
    Pages 78-92
  8. Effects of Random Seeds on the Accuracy of Convolutional Neural Networks

    • Christofer Fellicious, Thomas Weissgerber, Michael Granitzer
    Pages 93-102
  9. Benchmarking Deep Learning Models for Driver Distraction Detection

    • Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
    Pages 103-117
  10. A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry

    • Leandro L. Lorente-Leyva, M. M. E. Alemany, Diego H. Peluffo-Ordóñez, Israel D. Herrera-Granda
    Pages 131-142
  11. Target-Aware Prediction of Tool Usage in Sequential Repair Tasks

    • Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa
    Pages 156-168
  12. Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing

    • Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
    Pages 169-180
  13. Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations

    • Jon Vadillo, Roberto Santana, Jose A. Lozano
    Pages 215-227
  14. Lottery Ticket Hypothesis: Placing the k-orrect Bets

    • Abhinav Raj, Subhankar Mishra
    Pages 228-239

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

  • Book Title: Machine Learning, Optimization, and Data Science

  • Book Subtitle: 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II

  • Editors: Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-64580-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-64579-3Published: 07 January 2021

  • eBook ISBN: 978-3-030-64580-9Published: 06 January 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXVIII, 666

  • Number of Illustrations: 32 b/w illustrations, 179 illustrations in colour

  • Topics: Computer Applications, Machine Learning, Computers and Education, Artificial Intelligence, Computing Milieux

Buy it now

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
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