CFP

LOD 2020: 6th International Conference on machine Learning, Optimization and Data science

Certosa di Pontignano

Castelnuovo Berardenga (Siena), Italy, July 19-23, 2020

Conference website	https://lod2020.icas.xyz
Submission link	https://easychair.org/conferences/?conf=lod2020
Submission deadline	June 4, 2020

Topics: machine learning data science optimization big data

LOD 2020 Numbers = 1 Turing Award, 10 Keynote Speakers, 2 Tutorials, 2 Workshops, 15 Special Sessions, 1 Industrial Challenge, 500+ confirmed PC members and much more ... ;-)

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

When submitting a paper to LOD 2020, authors are required to select one of the following four types of papers:

long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);
short paper: an extended abstract of novel work (max. 4 pages);
work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;
abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference.

List of Topics

The last five-year period has seen a impressive revolution in the theory and application of machine learning and big data. Topics of interest include, but are not limited to:

Foundations, algorithms, models and theory of data science, including big data mining.
Machine learning and statistical methods for big data.
Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks.
Unsupervised, semi-supervised, and supervised Learning.
Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning.
Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states.
Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization.
Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
Big Data mining systems and platforms, and their efficiency, scalability, security and privacy.
Computational optimization. Optimization for representation learning. Optimization under Uncertainty
Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning.
Implementation issues, parallelization, software platforms, hardware
Big Data mining for modeling, visualization, personalization, and recommendation.
Big Data mining for cyber-physical systems and complex, time-evolving networks.
Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains.

We particularly encourage submissions in emerging topics of high importance such as data quality, advanced deep learning, time-evolving networks, large multi-objective optimization, quantum discrete optimization, learning representations, big data mining and analytics, cyber-physical systems, heterogeneous data integration and mining, autonomous decision and adaptive control.

Committees

Program Committee

https://lod2020.icas.xyz/program-committee/

Organizing committee

General Chairs:

Vincenzo Sciacca, Almawave, Italy

Renato Umeton, Department of Informatics, Dana-Farber Cancer Institute, Boston, MA, USA & MIT, Cambridge, MA, USA

Program Chairs:

Giovanni Giuffrida, University of Catania, Italy, and Neodata Group

Panos Pardalos, University of Florida, USA

Tutorial Sessions Chair:

Vincenzo Sciacca, Almawave, Italy

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

Vincenzo Sciacca, Almawave, Italy

Invited 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
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"

Publication

LOD 2020 proceedings will be published in Nature-Springer LNCS.

All accepted long papers will be published in a volume of the series on Lecture Notes in Computer Science (LNCS) from Springer after the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on.

All the other papers (short papers, abstracts of the oral presentations, abstracts for poster presentations) will be published on the LOD 2020 web site.

We can now include ORCID for authors of the proceedings. See this announcement and the guidelines (editor guidelines, section 4.7) for more information. For more information see this link.

Venue

The conference will be held in the Certosa di Pontignano (Siena) Tuscany, Italy.

The Certosa di Pontigniano

address: Loc. Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
email: info@lacertosadipontignano.com
web: https://www.lacertosadipontignano.com/en/index.php

A few kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens.

Contact

All questions about submissions should be emailed to lod@icas.xyz