Towards robust Machine Learning Methods for the Analysis of Brain Data

被引：0
|
作者：
Mueller, K. -R [1 ,2 ,3 ]
机构：
[1] TU Berlin, Machine Learning Grp, Marchstr 23, D-10587 Berlin, Germany
[2] Korea Univ, Dept Brain & Cognit Engn, Seoul, South Korea
[3] Max Planck Inst Informat, Saarbrucken, Germany
来源：
2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI) | 2018年
关键词：
CLASSIFICATION; FUSION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
引用
收藏
页码：55 / 56
页数：2
相关论文
共 50 条
  • [1] Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods
    Bozhkov, Lachezar
    Georgieva, Petia
    Trifonov, Roumen
    [J]. ENGINEERING APPLICATIONS OF NEURAL NETWORKS (EANN 2014), 2014, 459 : 123 - 132
  • [2] ANALYSIS OF LArTPC DATA USING MACHINE LEARNING METHODS
    Falko, A.
    Gogota, O.
    Yermolenko, R.
    Kadenko, I.
    [J]. JOURNAL OF PHYSICAL STUDIES, 2024, 28 (01):
  • [3] Analysis of Fleet Data Using Machine Learning Methods
    Ebel, André
    Riemer, Thomas
    Reuss, Hans-Christian
    [J]. Tongji Daxue Xuebao/Journal of Tongji University, 2021, 49 : 186 - 193
  • [4] A Review of Methods Used in Machine Learning and Data Analysis
    Wu, Qingyang
    [J]. ICMLC 2019: 2019 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING, 2019, : 37 - 45
  • [5] Data Mining and Machine Learning Methods for Robust Reliability Predictions on Automotive Components
    Bonato, Marco
    Krishnamoorthy, Murali
    Goge, Philippe
    [J]. 2022 68TH ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2022), 2022,
  • [6] Machine learning and robust data mining
    Croux, Christophe
    Leuven, K. U.
    Gallopoulos, Efstratios
    Van Aelst, Stefan
    Zha, Hongyuan
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 52 (01) : 151 - 154
  • [7] Towards Application of Machine Learning Methods in Pyrometallurgy: A Case Study of an Exploratory Data Analysis for Ferromanganese Production
    Cherkaev, A., V
    Reynolds, Q. G.
    Steenkamp, J. D.
    [J]. JOM, 2022, 74 (01) : 47 - 52
  • [8] Towards Application of Machine Learning Methods in Pyrometallurgy: A Case Study of an Exploratory Data Analysis for Ferromanganese Production
    A. V. Cherkaev
    Q. G. Reynolds
    J. D. Steenkamp
    [J]. JOM, 2022, 74 : 47 - 52
  • [9] Hyperspectral Data Exploitation: Progression from Statistical Methods Towards Machine Learning
    [J]. 2019 IEEE RESEARCH AND APPLICATIONS OF PHOTONICS IN DEFENSE CONFERENCE (RAPID), 2019,
  • [10] Clinical Data Analysis: An opportunity to compare machine learning methods
    Salcedo-Bernal, A.
    Villamil-Giraldo, M. P.
    Moreno-Barbosa, A. D.
    [J]. INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2016, 2016, 100 : 731 - 738
12345