Connectionists: [INNS-BDDL 2019] - Call for Papers

[Luca Oneto]

[Apologies if you receive multiple copies of this CFP]

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CALL FOR PAPERS

INNS BIG DATA AND DEEP LEARNING 2019
April 16 - 18, SESTRI LEVANTE, GENOA, ITALY, 1618

Website: https://innsbddl2019.org/

######################Description##########################
The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be
held in Sestri Levante, Italy, April 16 ñ 18, 2019. The conference is
organized by the International Neural Network Society, with the aim of
representing an international meeting for researchers and other
professionals in Big Data, Deep Learning and related areas. It will feature
invited plenary talks by world renowned speakers in the area, in addition
to regular and special technical sessions with oral and poster
presentations. Moreover, workshops and tutorials will also be featured.


######################Invited Speakers#####################
* Paolo Ferragina, University of Pisa, Italy
* Guang-Bin Huang, Nanyang Technological University, Singapore
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######################Tutorials############################
* Davide Bacciu (University of Pisa), Deep Learning for Graphs
* Silvia Chiappa (DeepMind), Luca Oneto (University of Genoa), Fairness in
Machine Learning
* Claudio Gallicchio (University of Pisa), Simone Scardapane (Sapienza
University of Rome), Deep Randomized Neural Networks
* Věra Kůrková (Czech Academy of Sciences), Complexity of Shallow and Deep
Networks
* Danilo P. Mandic, Ilia Kisil, and Giuseppe G. Calvi (Imperial College
London), Tensor Decompositions and Applications. Blessing of Dimensionality
* German I. Parisi and Stefan Wermter (University of Hamburg), Continual
Lifelong Learning with Neural Networks
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#######################IMPORTANT DATES#####################
* Deadline of full paper submission: October 31, 2018
* Notification of paper acceptance: December 31, 2018
* Camera-ready submission: January 31, 2019
* Early registration deadline: January 15, 2019
* Registration deadline: January 31, 2019
* Conference date: April 16 - 18, 2019
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##########################SCOPE############################
We solicit both solid contributions or preliminary results which show the
potentiality and the limitations of new ideas, refinements, or
contaminations in any aspect of Big Data and Deep Learning. Both
theoretical and practical results are welcome.

Example topics of interest includes but is not limited to the following:

Big Data Science and Foundations
* Novel Theoretical Models for Big Data
* New Computational Models for Big Data
* Data and Information Quality for Big Data

Big Data Mining
* Social Web Mining
* Data Acquisition, Integration, Cleaning, and Best Practices
* Visualization Analytics for Big Data
* Computational Modeling and Data Integration
* Large-scale Recommendation Systems and Social Media Systems
* Cloud/Grid/StreamData Mining
* Big Velocity Data
* Link and Graph Mining
* Semantic-based Data Mining and Data Preprocessing
* Mobility and Big Data
* Multimedia and Multistructured Data-Big Variety Data

Modern Practical Deep Networks
* Deep Feedforward Networks
* Regularization for Deep Learning
* Optimization for Training Deep Models
* Convolutional Networks
* Sequence Modeling: Recurrent and Recursive Nets
* Practical Methodology

Deep Learning Research
* Linear Factor Models
* Autoencoders
* Representation Learning
* Structured Probabilistic Models for Deep Learning
* Monte Carlo Methods
* Confronting the Partition Function
* Approximate Inference
* Deep Generative Models

####################PROCEEDINGS & SPECIAL ISSUE############
Works submitted as a regular paper will be published in a serie indexed by
Scopus. Submitted papers will be reviewed by some PC members based on
technical quality, relevance, originality, significance and clarity. At
least one author of an accepted submission should register to present their
work at the conference. Selected papers presented at INNS BDDL 2019 will be
included in special issues of top journals in the field (prospected
journals: Big Data Research, Transaction on Neural Networks and Learning
System, Neurocomputing, etc).
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Luca Oneto, PhD                            University of Genoa
web: www.lucaoneto.com               DIBRIS Department
e-mail: Luca.Oneto at unige.it          SmartLab Laboratory
e-mail: Luca.Oneto at gmail.com     Via Opera Pia 11a
Fax: +39-010-3532897                   16145 Genoa ITALY
Phone: +39-010-3532192               www.smartlab.ws
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