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The 8th  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: Wednesday March 23, 2022 (AoE)

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

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    2022-03-23T23:59:00+01:00
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    Deadlines

    • Special Session Proposals: Sunday January 23, 2022
    • Special Session Notification: Sunday January 30, 2022
    • Paper Submission Deadline: Wednesday March 23, 2022 (AoE)
    • Reviews Released to Authors: by Monday May 23, 2022
    • Rebuttal Due: by Saturday June 4, 2022
    • Decision Notification to Authors: by Friday June 10, 2022
    • Camera Ready Submission Deadline: by Monday June 20, 2022
    • Early Registration as Presenting Author: by Monday June 20, 2022
    • Early Registration: by Monday June 20, 2022
    • Late Registration: from Tuesday June 21, 2022
    • Accommodation Reservation at the Certosa di Pontignano, Siena – Tuscany, Italy: by Friday July 1, 2022
    • Conference: September 19 – 22, 2022


    Recent News




    Sponsors

    Platinum Sponsors

    Gold Sponsors

    Silver Sponsors

    Bronze Sponsors

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    Keynote Speakers

    Pierre Baldi
    University of California Irvine, USA

    Tutorial Speaker

    Simone Scardapane
    University of Rome "La Sapienza", Italy

    General Chair

    Renato Umeton
    Dana-Farber Cancer Institute, MIT & Harvard T.H. Chan School of Public Health, USA

    Program Chairs

    Varun Ojha
    University of Reading, 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



    Venue

    Certosa di Pontignano

    Pontignano / Siena – Tuscany / Italy

    www.lacertosadipontignano.com

    +39-0577-1521104 – info@lacertosadipontignano.com

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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 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 2022 conference is organized as a non-profit event.