Connectionists: 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: June 4

Sun May 24 04:37:24 EDT 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 multidisciplinarydisciplinary Conference: Machine Learning,
Optimization, Big Data & Artificial Intelligence without Borders

>From 2015, the LOD Conference brings academics, researchers and industrial
researchers together in a unique multidisciplinary community to discuss the
state of the art and the latest advances in the integration of machine
learning, optimization and data science to provide the scientific and
technological foundations for explainable and trustworthy AI adopting, from
2017, the Asilomar AI Principles.

The 6th Annual Conference on machine Learning, Optimization and Data
science (LOD) is a international conference on machine learning,
computational optimization, data science 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.

LOD 2020 an On-Site & On-Line Conference!

After numerous discussions, we have concluded that holding the event this
year in mixed form both in presence (like previous editions) and virtual is
more advantageous than postponing it until next year.

In order to accommodate a large number of situations and constraints, we
are offering the option for either physical presence or virtual
participation. We would be delighted if all authors and participants manage
to attend, but are aware that special circumstances are best handled by
having flexible options.

The Conference, hence, will be held in presence with virtual rooms  for
authors and participants using remote connection (e.g., Zoom or MS Teams).
The online lectures  (e.g., live presentations and/or recorded ones) will
be made possible.

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

Important Date:

* Paper Submission Deadline: June 4 – Anywhere on Earth.
* Early Registration: June 30

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: June 4 – 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: June 4 – 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: June 4 – 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.cc
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/
News: https://lod2020.icas.xyz/category/news/

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

Past Editions
https://lod2020.icas.xyz/past-editions/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20200524/e57b4f73/attachment.html>