[Apologies for cross-postings]

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CALL FOR PAPERS

The 3rd INNS Conference on Big Data and Deep Learning 2018

April 17-19, 2018, Bali, Indonesia

Homepage: http://www.innsbigdata2018.org

#######################Description:######################

The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field.

Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 – 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning."

Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes:

- Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182)

- Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441)

- Big Data Analytics

- Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067)

- International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333)

- and possibly others

Several papers will be selected for possible publication in top journals.

The conference will feature a comprehensive technical program with technical tracks on:

Track 1: Big Data

Track 2: Big Data Algorithms

Track 3: Deep Learning

Track 4: Application Areas

####################Important Dates#################################

* Tutorial and workshop proposals (Submission)  30 September 2017

* Tutorial and workshop proposals (Decision)      7 October 2017

* Paper submission                                                         1 December 2017

* Decision notification                                                   8 January 2018

* Camera-ready submission                                         2 February 2018

* Conference                                                                     17 - 19 April 2018

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#########################Keynote Speakers##########################

* Geoffrey I. Webb, Monash University, Australia

* Kay Chen Tan, City University, Hong Kong

* Ari Santoso, Ministry of Education and Culture

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#################### Organizing committees ###############

General chairs

Seiichi Ozawa, Kobe University, Japan

Ah-Hwee Tan, Nanyang Technological University, Singapore

Program Chairs

Plamen P. Angelov, Lancaster University, UK

Asim Roy, Arizona State University, USA

Mahardhika Pratama, Nanyang Technological University, Singapore

Honorary Board

Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia

Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia

Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia

Local Committee Chairs

Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia

Advisory Board

Yew-Soon Ong, Nanyang Technological University, Singapore

Robert Kozma, University of Memphis, USA

Sankar K. Pal, Indian Statistical Institute, India

Haibo He, University of Rhode Island, USA

Witold Pedrycz, University of Alberta, Alberta, Canada

Leszek Rutkowski, Czestochowa University of Technology, Poland

Nikola Kasabov, Auckland University of Technology, New Zealand

Fernando Gomide, University of Campinas, Brazil

Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil

Yoonsuck Choe, Texas A&M University

Minho Lee, Kyungpook National University, South Korea

Bao-Liang Lu, Shanghai Jiao Tong University, China

Irwin King, the Chinese University of Hong Kong, Hong Kong

Tutorials/Workshop Chairs

Igor Skrjanc, University of Ljubljana, Slovenia

Sundaram Suresh, Nanyang Technological University, Singapore

Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia

Poster Sessions Chairs

Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia

Agus Salim, La Trobe University, Australia

Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia

Special Sessions Chairs

Justin Wang, La Trobe University, Australia

Yongping Pan, National University of Singapore, Singapore

Alfian Futhul Hadi, Universitas Jember, Indonesia

Panel Chairs

Sreenatha Anavatti, University of New South Wales, Australia

Mukesh Prasad, University of Technology, Sydney, Australia

Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia

Awards Chairs

Tapabrata Ray, University of New South Wales, Australia

Dejan Dovzan, University of Ljubljana, Slovenia

Richard J. Oentaryo, McLaren Applied Technologies, Singapore

Publication Chairs

Edwin Lughofer, Johannes Kepler University, Austria

Jose Antonio Iglesias, Carlos III University of Madrid, Spain

Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France

Publicity Chair

Simone Scardapane, Sapienza University, Italy

Teng Teck Hou, Singapore Management University, Singapore

Kurnianingsih, Politeknik Negeri Semarang, Indonesia

International Liaison Chairs

Yun Sing Koh, University of Auckland, New Zealand

Deepak Puthal, University of Technology Sydney, Australia

Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia

Webmaster

Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia

Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia

Choiru Za’in, La Trobe University, Australia

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###### Topics and Areas include, but not limited to the following######

>>BIG DATA

Autonomous, online, incremental learning in big data

High dimensional data, feature selection, feature transformation for big data

Scalable algorithms for big data

Big data analytics

Data stream analytics

Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.)

Online learning

Online multimedia/stream/text analytics

Link and graph mining

Big data and cloud computing, large scale stream processing on the cloud

Big data and collective intelligence/collaborative learning

Big data and hybrid systems

Big data and self-aware systems

Big data and infrastructure

Big data visualization 

>>Big Data Algorithm

Neuromorphic hardware for scalable machine learning

Evolving systems for big data analytics

Evolutionary systems and big data

Fuzzy systems and big data

Cognitive modelling and big data

Probabilistic approach for big data

Concept drift detection for big data

Granular computing for big data

Transfer learning for big data

>>Deep Learning

Deep belief network

Convolutional neural network

Long short term memory

Deep network architecture

Deep autoencoder

Deep stacked network

Deep learning for natural language processing

Deep learning for machine vision

Evolving deep network

Transfer learning in deep learning

Online deep learning

>>Application Areas

Banking and Securities

Communications, Media and Entertainment

Healthcare Providers

Education

Manufacturing & Natural Resources

Government

Insurances

Retail & Wholesale Trade

Transportation

Energy & Utilities, Etc.

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##########################Sponsoring Organizations#################

* INNS - International Neural Network Society

* MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember

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Previous INNS Conference:

INNS 2016 in Thessaloniki, Greece

INNS 2015 in San Francisco, USA