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  • [CFP][INNS-BDDL 2018] Extension of paper submission deadline to 15th Fe

    From INNS-BDDL 2018 - Indonesia@21:1/5 to All on Mon Feb 5 22:37:49 2018
    Apologies for cross postings.

    ###########################################################
    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 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 b  19, 2018 in Sanur
    b  Bali, Indonesia. The aim of this conference is 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 papers will be published in the Procedia Computer Science by Elsevier, which is indexed by Scopus.
    Several papers will be selected for possible publication in top journals.
    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

    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 ###################################################################
    * Deadline of full paper submission 15 February 2018
    * Decision notification 15 March 2018
    * Conference 17 - 19 April 2018 ###################################################################

    Previous INNS Conference:
    INNS 2016 in Thessaloniki, Greece
    INNS 2015 in San Francisco, USA

    #################### 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

    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, PontifC-cia Universidade CatC3lica 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
    Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia
    Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia
    Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia

    Tutorials/Workshop Chairs
    Igor Skrjanc, University of Ljubljana, Slovenia
    Sundaram Suresh, Nanyang Technological University, Singapore

    Poster Sessions Chairs
    Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia
    Agus Salim, La Trobe University, Australia

    Special Sessions Chairs
    Justin Wang, La Trobe University, Australia
    Yongping Pan, National University of Singapore, Singapore

    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
    Hendro Nurhadi, Institut Teknologi Sepuluh Nopember, 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 Zab in, La Trobe University, Australia


    ###### 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.

    ##########################Sponsoring Organizations##########################
    * INNS - International Neural Network Society
    * PUI-PT MIA-RC ITS - Mechatronics and Industrial Automations - Research Center, Institut Teknologi Sepuluh Nopember, Indonesia
    * Elsevier ############################################################################


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