The International Conference on Machine Learning and Data Science will focus on topics that are of interest to computer and computational scientists and engineers. MLDS-2018 will bring together researchers and practitioners from academia, industry and government to deliberate on the algorithms, systems, applied, and research aspects of Machine Learning and Data Science. The conference will be held in Hyderabad - Telangana, India, and will feature multiple eminent keynote speakers, and presentation of peer reviewed original research papers and exhibits.
Steering Committee
Deepak Khazanchi, University of Nebraska, USA
Suneet Tuli, Bennett University, India
Arya Kumar Bhattacharya, Mahindra École Centrale, India
Bishnu P Pal, Mahindra École Centrale, India
Yajulu Medury, Mahindra École Centrale, India
General Co-Chairs
Prafulla Kalapatapu, Mahindra École Centrale, India
Deepak Garg, Bennet University, India
Sartaj Sahni, University of Florida, USA
Program Co-Chairs
Sanjay Ranka, University of Florida, USA
Sumeet Dua, Louisiana Tech University, USA
Technical Program Committee / Advisory Committee
Louiqa Raschid, University of Maryland, USA
Cho-Yu Jason Chiang, Applied Communication Sciences, USA
Keith C. C. Chan, The Hong Kong Polytechnic University, Hong Kong
Ramin Yahyapour, GWDG - University Göttingen, Germany
David Kaeli, Northeastern University, USA
Alexey Lastovetsky, University College Dublin, Ireland
Keqin Li, State University of New York at New Paltz, USA
Sharma Chakravarthy, University of Texas, Arlington, USA
Balaji Palanisamy, University of Pittsburgh, USA
Surendra Byna, Lawrence Berkeley National Laboratory, USA
Hidemoto Nakada, National Institute of Advanced Industrial Science and Technology, Japan
Vijay Raghavan, University of Louisiana at Lafayette, USA
Ali Butt, Virginia Tech., USA
Takao Terano, Tokyo Institute of Technology, Japan
Prasenjit Mitra, The Pennsylvania State University, USA
Rajdeep Bhowmik, Cisco Systems, Inc., USA
Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
Tania Banerjee, University of Florida, USA
Lorenza Saitta, Università del Piemonte Orient, Dip. di Informatica, Italy
Hai Jin, Huazhong University of Science and Technology, P.R. China
Sameh Elnikety, Microsoft Research, USA
Dimitrios Tsoumakos, Ionian University, Greece
Paolo Romano, Inesc-ID, Portugal
Pradeep Chowriappa, Louisiana Tech University, USA
Mukesh Kumar, The Technological Institute of Textile & Sciences, India
Feng Yan, University of Nevada, Reno, USA
Yanghua Xiao, Fudan University, P.R. China
Xingquan Zhu, University of Technology, Sydney, P.R. China
Alexandru Costan, INRIA Rennes, France
Andrea Clematis, CNR, Italy
Aryya Gangopadhyay, University of Maryland Baltimore County (UMBC), USA
Jay Lofstead, Sandia National Laboratories, USA
Aris Gkoulalas-Divanis, IBM Watson Health, USA
Varun Chandola, SUNY Buffalo, USA
Bing Zhu, Peking University, P.R. China
Huan Liu, Arizona State University, USA
Murali Mani, University of Michigan Flint, USA
Linlin You, Singapore University of Technology and Design, Singapore
Aswani Kumar Cherukuri, VIT University, India
Xiaoyong Yuan, University of Florida, USA
Min Li, IBM T J Watson Research, USA
Arnab Basu, Indian Institute of Management Bangalore, India
Chang-Dong Wang, Sun Yat-sen University, P.R. China
Matin Kheirkhahan, University of Florida, USA
Peng Zhang, University of Technology Sydney, P.R. China
Brandeis Marshall, Spelman College, USA
Deepak Garg, Bennett University, India
Sanjay Ranka, University of Florida, USA
Nisansa de Silva, University of Oregon, USA
Dhruv Mahajan, University of Florida, USA
Andrew Sung, University of Southern Mississippi, USA
Taskin Kavzoglu, Gebze Technical University, USA
Xiaofeng He, East China National University, USA
Dhruv Arya, LinkedIn, USA
Naeemul Hassan, University of Mississippi, USA
Patrick Emami, University of Florida, USA
Reda Al-Bahrani, Northwestern University, USA
Hatwib Mugasa, Louisiana Tech University, USA
Yang Zhou, Auburn University, USA
Chengliang Yang, University of Florida, USA
Pan He, University of Florida, USA
Xiaohui Huang, University of Florida, USA
Amnay Amimeur, University of Oregon, USA
Fernando Gutierrez, University of Concepción, Chile
Ioannis Giannakopoulos, NTUA, Greece
Ioannis Mytilinis, NTUA, Greece
Ayesha Akter, Louisiana Tech University, USA
Richard Appiah, Louisiana Tech University, USA
Zijiang Yang, Northwestern University, USA
Girish Rentala, Louisiana Tech University, USA
Andrey Timofeyev, Louisiana Tech University, USA
Topics and Scope of the Conference
Machine Learning
Model Selection
Evolutionary Parameter Estimation
Graphs and Social Networks
Non-parametric models for sparse networks
Large scale machine learning
Deep Learning
Recommender Systems
Applications
Evaluation of Learning Systems
Data Science
Authors are requested to submit their file in the format specified in the IEEE Paper Template Prospective authors are invited to submit original technical papers for publication in the ICMLDS 2018 Important IEEE Policy Announcement The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented at the conference. Papers are reviewed on the basis that they do not contain plagiarised material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the IEEE will take action against any author who engages in either practice.
To be submitted in IEEE Xplore for consideration, an author of an accepted paper is required to register for the conference and present the paper at the conference. Non-refundable registration fees must be paid prior to the due date of registration. For authors with multiple accepted papers, one registration for each paper is required Paper Submission Prospective authors are invited to submit papers of four (4) to eight (8) A4 pages (including tables, figures and references) in standard IEEE double-column format (it is absolutely necessary to respect the Styleguide for Papers). A blind peer-review process will be used to evaluate all submitted papers. Each full registration for the conference will cover a maximum of one paper; each student registration will cover a single paper only. Extra paper, 2nd paper and onwards, must be registered separately. The format instructions in the template must be followed, it is notably important to use the right paper format: A4 to have the right margins not to use page numbering (page footer must be empty)
The IEEE Citation Reference may help you with the references in your paper. Get the list of IEEE recommended keywords from https://www.ieee.org/documents/taxonomy_v101.pdf or send an empty e-mail to keywords@ieee.org with "IEEE Keywords" in the subject line.
All submissions should be written in English with a maximum paper length of eight (8) printed pages including figures, without incurring additional page charges. One (1) additional page is allowed with a charge of USD 20 or INR 500, if accepted
12月21日
2018
12月22日
2018
初稿截稿日期
注册截止日期
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