• [CFP][INNS-BDDL 2018] Call for Papers

    From INNS-BDDL 2018 - Indonesia@21:1/5 to All on Sat Jul 15 22:57:50 2017
    [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 by Elsevier, Scopus
    indexed.
    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) 15 September 2017
    * Tutorial and workshop proposals (Decision) 30 September 2017

    * Paper submission 2 November 2017
    * Decision notification 31 December 2017
    * 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
    * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ############################################################################


    ************** comp.robotics.research (moderated) **************
    Summary: Academic, government & industry research in robotics.
    Archives and information: http://www.metamech.com/crr
    Charter: http://www.metamech.com/crr/Charter
    Meta-discussions/information: crr-request@metamech.com

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  • From INNS-BDDL 2018 - Indonesia@21:1/5 to All on Tue Oct 17 01:14:43 2017
    [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 3rd INNS Conference on Big Data and Deep Learning
    (INNS BDDL) will be held Tuesday through Thursday,
    April 17 b

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)