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The 9th  Annual Conference on machine Learning, Optimization and Data science (LOD) is an international conference on machine learning, computational optimization, big data and artificial intelligence. The conference includes invited talks, tutorials, special sessions, industrial tracks, demonstrations, and oral and poster presentations of refereed papers.

The LOD has established itself as a premier interdisciplinary conference in machine learning, computational optimization, data science and AI. It provides an international forum for the presentation of original interdisciplinary research results, and the exchange and dissemination of innovative and practical development experiences.

We invite submissions of papers, abstracts, posters, talks and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference Post-ProceedingsSpringer-Nature Lecture Notes in Computer Science (LNCS).


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 & LOD 2020 Keynote Speaker)

&

Steve Smale

 

“Artificial Intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the Asilomar AI Principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.”

The Asilomar AI Principles

The Asilomar AI Principles have been adopted by the LOD Conference since their initial formulation (3-5 January 2017). Since then they have been an integral part of the Manifesto of the LOD Conferences (LOD 2017).




Papers submission

All papers must be submitted using EasyChair.

Paper Submission deadline: Monday April 10, 2023 (AoE)

Any questions regarding the submission process can be sent to conference organizers: lod@icas.cc.




Keynote Speakers

(TBA)

Tutorial Speakers

(TBA)

General Chairs

Giovanni Giuffrida
University of Catania, Italy & Neodata Group
Renato Umeton
Dana-Farber Cancer Institute, MIT & Harvard T.H. Chan School of Public Health, USA

Program Chairs

Giuseppe Di Fatta
Free University of Bozen-Bolzano, Bolzano, Italy
Giuseppe Nicosia
University of Catania, Italy
Varun Ojha
Newcastle University, UK
Panos Pardalos
University of Florida, USA


Special Sessions Chairs

Emanuele La Malfa
University of Oxford, UK
Gabriele La Malfa
University of Cambridge, UK

Tutorial Sessions Chair

Giorgio Jansen
University of Cambridge, UK

Industrial Session Chair

Giovanni Giuffrida
University of Catania, Italy & Neodata Group


Publicity Chairs

Andrii Dobroshynskyi
New York University, USA
Stefano Mauceri
NCRA, University College Dublin, Ireland
Cole Smith
New York University, USA

Steering Committee

Giuseppe Nicosia
Panos Pardalos




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2023-04-10T23:59:00+01:00
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Deadlines

  • Paper Submission Deadline: Monday April 10, 2023 (AoE)
  • Decision Notification to Authors: by Saturday June 10, 2023
  • Camera Ready Submission Deadline: by Friday June 30, 2023

 

  • Regular Registration: by Friday June 30, 2023
  • Late Registration: from Saturday July 1, 2023

 

  • Accommodation Reservation at The Wordsworth Hotel & SPA: by Saturday July 15, 2023


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    Venue

    The Wordsworth Hotel & Spa

    Grasmere, Ambleside, Lake District, Cumbria - England, UK

    www.thewordsworthhotel.co.uk

    +44-1539-435592 – enquiry@thewordsworthhotel.co.uk

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    Past Editions


    Many international well-known experts in Machine Learning, Optimization and Big Data have joined LOD. Let’s review the history of LOD.

    • LOD 2022
      The Eighth International Conference on Machine Learning, Optimization and Big Data
      Certosa di Pontignano, Siena – Tuscany, Italy.
      Nature Springer – LNCS volumes 13810 and 13811.
    • LOD 2021
      The Seventh International Conference on Machine Learning, Optimization and Big Data
      Grasmere – Lake District – England, UK.
      Nature Springer – LNCS volumes 13163  and 13164.
    • LOD 2020
      The Sixth International Conference on Machine Learning, Optimization and Big Data
      Castelnuovo Berardenga – Tuscany – Italy.
      Nature Springer – LNCS volumes 12565 and 12566.
    • LOD 2019
      The Fifth International Conference on Machine Learning, Optimization and Big Data
      Castelnuovo Berardenga – Tuscany – Italy.
      Nature Springer – LNCS volume 11943.
    • LOD 2018
      The Fourth International Conference on Machine Learning, Optimization and Big Data
      Volterra – Tuscany – Italy.
      Nature Springer – LNCS volume 11331.
    • MOD 2017
      The Third International Conference on Machine Learning, Optimization and Big Data
      Volterra – Tuscany – Italy.
      Springer – LNCS volume 10710.
    • MOD 2016
      The Second International Workshop on Machine learning, Optimization and big Data
      Volterra – Tuscany – Italy.
      Springer – LNCS volume 10122.
    • MOD 2015
      International Workshop on Machine learning, Optimization and big Data
      Taormina – Sicily – Italy.
      Springer – LNCS volume 9432.




    LOD 2023 conference is organized as a non-profit event.