Počet záznamů: 1  

Advances in Data Mining Knowledge Discovery and Applications

  1. 1.
    Borovička, T. - Jiřina jr., M. - Kordík, P. - Jiřina, Marcel
    Selecting Representative Data Sets.
    Advances in Data Mining Knowledge Discovery and Applications. Rijeka: InTech, 2012 - (Karahoca, A.), s. 43-70. ISBN 978-953-51-0748-4
    http://hdl.handle.net/11104/0211296

    Citováno: 15

    --- SALARI, N. - SHOHAIMI, S. - NAJAFI, F. - NALLAPPAN, M. - KARISHNARAJAH, I. Application of pattern recognition tools for classifying acute coronary syndrome: an integrated medical modeling. THEORETICAL BIOLOGY AND MEDICAL MODELLING. ISSN 1742-4682, SEP 18 2013, vol. 10. [WOS]
    --- THOBEN, K.D. Application of Machine Learning to Identify State Drivers. IDENTIFYING PRODUCT AND PROCESS STATE DRIVERS IN MANUFACTURING SYSTEMS USING SUPERVISED MACHINE LEARNING. ISSN 2190-5053, 2015, p. 125-152. [WOS]
    --- SULJIC, M. - BANJANOVIC-MEHMEDOVIC, L. - DZANANOVIC, I. Determination of coal quality using Artificial Intelligence Algorithms. JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH. ISSN 0022-4456, JUN 2013, vol. 72, no. 6, p. 379-386. [WOS]
    --- CABRERA-LEON, Y. - BAEZ, P.G. - SUAREZ-ARAUJO, C.P. Self-Organizing Maps in the Design of Anti-spam Filters A Proposal based on Thematic Categories. PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, VOL 3: NCTA. 2016, p. 21-32. [WOS]
    --- SALEM, D.A. - SEOUD, R.A.A. - KADAH, Y.M. Prediction of binding peptides to class I Major Histocompatibility Complex using modified scoring matrices and data splitting strategies. BIOCYBERNETICS AND BIOMEDICAL ENGINEERING. ISSN 0208-5216, 2016, vol. 36, no. 3, p. 509-520. [WOS]
    --- ALBANI, A. - IBRAHIM, M.Z. Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia. ENERGIES. ISSN 1996-1073, MAR 2017, vol. 10, no. 3. [WOS]
    --- ASKARIAN, B. - YOO, S.C. - CHONG, J.W. Novel Image Processing Method for Detecting Strep Throat (Streptococcal Pharyngitis) Using Smartphone. SENSORS. AUG 1 2019, vol. 19, no. 15. [WOS]
    --- RAWSON, T.M. - HERNANDEZ, B. - MOORE, L.S.P. - BLANDY, O. - HERRERO, P. - GILCHRIST, M. - GORDON, A. - TOUMAZOU, C. - SRISKANDAN, S. - GEORGIOU, P. - HOLMES, A.H. Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY. ISSN 0305-7453, APR 2019, vol. 74, no. 4, p. 1108-1115. [WOS]
    --- LEE, L.C. - LIONG, C.Y. - JEMAIN, A.A. Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge gaps. ANALYST. ISSN 0003-2654, AUG 7 2018, vol. 143, no. 15, p. 3526-3539. [WOS]
    --- LUQUE, A. - GOMEZ-BELLIDO, J. - CARRASCO, A. - BARBANCHO, J. Optimal Representation of Anuran Call Spectrum in Environmental Monitoring Systems Using Wireless Sensor Networks. SENSORS. ISSN 1424-8220, JUN 2018, vol. 18, no. 6. [WOS]
    --- LUQUE, A. - ROMERO-LEMOS, J. - CARRASCO, A. - GONZALEZ-ABRIL, L. Temporally-aware algorithms for the classification of anuran sounds. PEERJ. ISSN 2167-8359, MAY 4 2018, vol. 6. [WOS]
    --- LEE, L.C. - LIONG, C.Y. - JEMAIN, A.A. Iterative Random vs. Kennard-stone Sampling for IR Spectrum-based Classification Task using PLS2-DA. 2017 UKM FST POSTGRADUATE COLLOQUIUM. ISSN 0094-243X, 2018, vol. 1940. [WOS]
    --- LIND, P.G. - VERA-TUDELA, L. - WAHTER, M. - KUHN, M. - PEINKE, J. Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach. ENERGIES. ISSN 1996-1073, DEC 2017, vol. 10, no. 12. [WOS]
    --- SINGH, H. - PANI, A.K. - MOHANTA, H.K. Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set. MEASUREMENT. ISSN 0263-2241, FEB 2019, vol. 134, p. 698-709. [WOS]
    --- HAN, T.D. - ABDELRAHMAN, T.S. Use of Synthetic Benchmarks for Machine-Learning-based Performance Auto-tuning. 2017 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW). ISSN 2164-7062, 2017, p. 1350-1361. [WOS]
Počet záznamů: 1  

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