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About the Conference

The 4th Annual Conference on machine Learning, Optimization and Data science (LOD) is a single-track machine learning, computational optimization, data science conference that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.

The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.

We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings – Springer Lecture Notes in Computer Science.

 

The LOD Conference Manifesto

“The problem of understanding intelligence is said to be the greatest problem in science today and “the” problem for this century — as deciphering the genetic code was for the second half of the last one.
Arguably, the problem of learning represents a gateway to understanding intelligence in brains and machines, to discovering how the human brain works, and to making intelligent machines that learn from experience and improve their competences as children do.
In engineering, learning techniques would make it possible to develop software that can be quickly customized to deal with the increasing amount of information and the flood of data around us.”

The Mathematics of Learning: Dealing with Data
Tomaso Poggio (MOD 2015 Keynote Speaker)
&
Steve Smale (LOD 2018 Keynote Speaker)


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Deadlines

Registration

  • Early Registration as Presenting Author: July 1, 2018
  • Early Registration: July 1, 2018
  • Late Registration: July 2 – September 16, 2018
  • On-Site Registration: September 13 – 16, 2018

Contents

  • Special Session Proposals: February 28, 2018 
  • Special Session Notification: March 10, 2018 
  • Paper Submission Deadline: April 30, 2018
  • Decision Notification to Authors: June 1, 2018
  • Camera Ready Submission Deadline: July 1, 2018

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Keynote Speakers

(random order)

General Chairs

Vincenzo Sciacca
IBM, Italy
Renato Umeton
MIT & Dana-Farber Cancer Institute - Harvard Medical School, USA

Program Chairs

Giovanni Giuffrida
University of Catania, Italy
Neodata Group
Panos Pardalos
University of Florida, USA

Special Sessions Chair

Aris Anagnostopoulos
Università di Roma “La Sapienza”, Italy

Tutorial Sessions Chair

Giuseppe Narzisi
New York University Tandon School of Engineering, USA
New York Genome Center, USA

Publicity Chair

Stefano Mauceri
NCRA, University College Dublin, Ireland

Industrial Session Chairs

Ilaria Bordino
UniCredit R&D, Italy
Marco Firrincieli
UniCredit R&D, Italy
Fabio Fumarola
University of Bari, Italy
Francesco Gullo
UniCredit R&D, Italy

Steering Committee

Giuseppe Nicosia
Panos Pardalos

www.siafvolterra.it

+39-0588-81266 – info@siafvolterra.eu
Volterra – Pisa – Tuscany – Italy
Learning Village SIAF

Past Editions

  • MOD 2017
    The Third International Conference on Machine Learning, Optimization and Big Data
    Volterra – Tuscany – Italy
  • MOD 2016
    The Second International Workshop on Machine learning, Optimization and big Data
    Volterra – Tuscany – Italy
  • MOD 2015
    International Workshop on Machine learning, Optimization and big Data
    Taormina – Sicily – Italy


LOD 2018 conference is organized as a non-profit event.