Connectionists: MOD 2017 Call for Papers - Paper submission deadline: March 31, 2017

Tue Feb 28 04:16:34 EST 2017

MOD 2017: The 3rd International Conference on Machine learning, Optimization & big Data
An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders
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September 14 - 17, 2017
Volterra (Pisa) Tuscany, Italy

http://www.taosciences.it/mod/

Important dates
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* Full Paper Submissions: March 31, 2017
* Full Paper  Notifications: May 1, 2017
* Special Session Proposals: March 31, 2017
* Special Session Notifications: April 15, 2017
* Workshop Proposals: March 31, 2017
* Workshop Notifications: April 15, 2017
* Conference: September 14 - 17, 2017

The International Conference on Machine learning, Optimization, and big Data (MOD) 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. The MOD 2017 conference will consist of four days of conference sessions, tutorials, demo and special sessions. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications.

Topics of Interest
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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.
* Multi-objective 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 algorithms for Real World Applications. 
* Optimization in Big Data.
* Optimization and Machine Learning.
* 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.
* Industrial applications of Machine Learning, Optimization and Big Data.

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

Submission Guidelines
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Paper submissions should be limited to a maximum of 12 pages, in the Springer LNCS format:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
including the bibliography and any possible appendices. 

All submissions will be 6-blind reviewed by the Program Committee on the basis of technical quality, significance, multidisciplinary, relevance to scope of the conference, originality and clarity. 

https://easychair.org/conferences/?conf=mod2017

Types of Submissions
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When submitting a paper to MOD 2017, 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). 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.

Post-Proceedings
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All accepted long papers will be published in a volume of the series  'Lecture Notes in Computer Science' 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 the poster presentations) will be published on the MOD 2017 web site.

Presentation
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MOD uses the single session formula of 30 minutes presentations for fruitful exchanges between authors and participants.

Best Paper Awards
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Springer sponsors  the MOD 2017 Best Paper Award  with a cash prize of  EUR 1,000.
The Award will be conferred at the conference on the authors of the best paper award.

Attendance
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MOD is a premier forum for presenting and discussing current research in machine learning, optimization and big data. Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program.

Keynote Speakers
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+ Ruslan Salakhutdinov, Machine Learning Department, School of Computer Science at Carnegie Mellon University, USA. 
   Director of AI Research at Apple.

+ Jun Pei, Hefei University of Technology, China

Other speakers will be announced soon!

Organization
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General Chair:
Renato Umeton, Harvard University, USA

Program Co-Chairs:
Giovanni Giuffrida, University of Catania, Italy & Neodata Group
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA

Special  Session Co-Chairs:
Giuseppe Narzisi, New York University Tandon School of Engineering & New York Genome Center, New York, USA

Workshop Co-Chair:
Piero Conca, CNR, Italy

Industrial Panel Chairs:
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo, UniCredit R&D

Publicity Chair:
Giovanni Murabito, DiGi Apps Inc.
Giulia Santarelli, DiGi TaoSc

W: http://www.taosciences.it/mod/
E: modworkshop2017 at gmail.com

-- 
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Science
Dept of Mathematics & Computer Science  
University of Catania                                        
Viale A. Doria, 6  - 95125 Catania, Italy 
P +39 095 7383048
nicosia at dmi.unict.it                 
http://www.dmi.unict.it/nicosia
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4th International Synthetic & Systems Biology Summer School - SSBSS 2017
* Biology meets Computer Science & Engineering *
July 17-21, 2017 - University of Cambridge, Robinson College, UK 
http://www.taosciences.it/ssbss/ 
Contact Email: ssbss.school at gmail.com

FB: https://www.facebook.com/ssbss.school/

SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/

Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/
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3rd International Conference on Machine learning, Optimization & big Data - MOD 2017
September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy
modworkshop2017 at gmail.com
http://www.taosciences.it/mod/
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