[hpc-announce] Call for Papers: The 6th International Conference on Machine Learning, Optimization & Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: May 15

Ludovico Montalcini ludovico.montalcini at gmail.com
Thu May 7 14:25:29 CDT 2020


Dear Colleague,

Apologies if you receive multiple copies of this announcement.
Please kindly help forward it to potentially interested authors/attendees.

The 6th International Conference on Machine Learning, Optimization, and
Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena – Tuscany,
Italy

An Interdisciplinary Conference: Machine Learning, Optimization, Big Data &
Artificial Intelligence without Borders

W: https://lod2020.icas.xyz
E: lod at icas.xyz
EC: https://easychair.org/conferences/?conf=lod2020
FB: https://www.facebook.com/groups/2236577489686309/


Important Date:

* Paper Submission Deadline: May 15 – Anywhere on Earth.


Registration

* Early Registration as Presenting Author: June 15
* Early Registration: June 15
* Late Registration: From June 16



KEYNOTE SPEAKERS:

* Pierre Baldi, University of California Irvine, USA

* Yoshua Bengio,  Université de Montréal, Canada -  A.M. Turing Award 2018
  LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19

* Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK

* Marco Gori, University of Siena, Italy

* Marta Kwiatkowska, University of Oxford, UK

* Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for
Intelligent Systems, Germany

* Panos Pardalos, University of Florida, USA

* Tomaso Poggio, MIT, USA
  LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19

* Raniero Romagnoli, Almawave, Italy

* Cristina Savin, Center for Neural Science, New York University, USA
  LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19

* Tali  Tishby, The Hebrew University, Israel
  LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19

More Keynote Speakers Coming soon!


Tutorial Speakers

* Chip Huyen, Stanford University, USA
4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research"

* Vincenzo Sciacca, Almawave, Italy
Tutorial on "Natural Language Processing and Deep Learning"

More Tutorial Speakers Coming soon!


SATELLITE WORKSHOPS
I) Satellite Workshop on "Biologically Plausible Learning" on July 19

https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/

Chair: Marco Gori, University of Siena, Italy

Keynote Speaker:

* Pierre Baldi, University of California Irvine, USA

* Yoshua Bengio, Université de Montréal, Canada -  A.M. Turing Award 2018

* Tomaso Poggio, MIT, USA

* Cristina Savin, Center for Neural Science, New York University, USA

* Tali  Tishby, The Hebrew University, Israel

Paper Submission Deadline: May 15 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020


II) Workshop on “Integrative Machine Learning”
Chair: Marco Gori, University of Siena, Italy
https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/


Paper Submission Deadline: May 15 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020


SPECIAL SESSIONS:
https://lod2020.icas.xyz/special-sessions/
* Big data in Economics and Finance

Organized by the Big Data and Forecasting of Economic Developments project
(bigNOMICS) of the Centre for Advanced Studies of the European Commission,
Joint Research Centre.

Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli

* Industrial Session
Chairs: Vincenzo Sciacca – Almawave, Giovanni Giuffrida – Neodata.

* Special Session on Explainable Artificial Intelligence
Explainability is essential for users to effectively understand, trust, and
manage powerful artificial intelligence applications.

https://robotics.sciencemag.org/content/4/37/eaay7120


* Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA)

* The 7 Special Sessions on Machine Learning

Multi-Task Learning
Reinforcement Learning
Deep Learning
Generative Adversarial Networks
Deep Neuroevolution
Networks with Memory
Learning from Less Data and Building Smaller Models

* The 7 Special Session on Data Science and Artificial Intelligence

Simulation Environments to understand how AI Systems Learn
Chatbots and Conversational Agents
Data Science at Scale & Data in the Cloud
Urban Informatics & Data-Driven Modelling of Complex Systems
Data-centric Engineering
Data Security, Traceability of Information & GDPR
Economic Data Science

Special Session Paper Submission Deadline: May 15 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020


BEST PAPER AWARD
Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000
Euro.
https://lod2020.icas.xyz/best-paper-award/


PROGRAM COMMITTEE
500+ confirmed PC members! Breaking the record of the last edition of LOD!
https://lod2020.icas.xyz/program-committee/


BIG DATA CHALLENGE
Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who
develops the most accurate algorithm to process the following problem.
https://lod2020.icas.xyz/lod-2020-challenge/

See you in Siena next July!

Best regards,
  LOD 2020 Organizing Committee



W:    https://lod2020.icas.xyz
E:    lod at icas.xyz
EC:  https://easychair.org/cfp/LOD2020
FB:  https://www.facebook.com/groups/2236577489686309/
T:     https://twitter.com/TaoSciences
L:     https://www.linkedin.com/groups/12092025/

* Apologies for multiple copies. Please forward to anybody who might be
interested *

Past Editions
https://lod2020.icas.xyz/past-editions/


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