Feature selection in data-driven systems modelling [keynote speaker 1]

2014 European Modelling Symposium ◽

10.1109/ems.2014.79 ◽

2014 ◽

Author(s):

Qiang Shen

Keyword(s):

Feature Selection ◽

Keynote Speaker ◽

Data Driven ◽

Driven Systems ◽

Systems Modelling

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[Keynote Speaker-1] Feature Selection in Data-Driven Systems Modelling

2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation ◽

10.1109/aims.2014.73 ◽

2014 ◽

Author(s):

Qiang Shen

Keyword(s):

Feature Selection ◽

Keynote Speaker ◽

Data Driven ◽

Driven Systems ◽

Systems Modelling

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Keynote Speaker-2: Approximate Feature Selection in Data-Driven Systems Modelling

2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) ◽

10.1109/uksim.2015.108 ◽

2015 ◽

Author(s):

Qiang Shen

Keyword(s):

Feature Selection ◽

Keynote Speaker ◽

Data Driven ◽

Driven Systems ◽

Systems Modelling

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Keynote Speaker 3 - Approximate Feature Selection in Data-Driven Systems Modelling by Qiang Shen

2015 7th International Conference on Computational Intelligence, Communication Systems and Networks ◽

10.1109/cicsyn.2015.54 ◽

2015 ◽

Keyword(s):

Feature Selection ◽

Keynote Speaker ◽

Data Driven ◽

Driven Systems ◽

Systems Modelling

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Kenote Speaker: Approximate Feature Selection in Data-Driven Systems Modelling, by Qiang Shen

2015 IEEE European Modelling Symposium (EMS) ◽

10.1109/ems.2015.10 ◽

2015 ◽

Keyword(s):

Feature Selection ◽

Data Driven ◽

Driven Systems ◽

Systems Modelling

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Significant Indicators and Determinants of Happiness: Evidence from a UK Survey and Revealed by a Data-Driven Systems Modelling Approach

Social Sciences ◽

10.3390/socsci7040053 ◽

2018 ◽

Vol 7 (4) ◽

pp. 53 ◽

Author(s):

Yuanlin Gu ◽

Hua-Liang Wei

Keyword(s):

Data Driven ◽

Driven Systems ◽

Systems Modelling ◽

Modelling Approach

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A Network Architecture for Data-Driven Systems

10.21236/ada168764 ◽

1985 ◽

Author(s):

James E. McDonald

Keyword(s):

Network Architecture ◽

Data Driven ◽

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Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset

Proceedings of the 2020 12th International Conference on Machine Learning and Computing ◽

10.1145/3383972.3383992 ◽

2020 ◽

Author(s):

Ji-Han Liu ◽

Cheng-Tse Wu ◽

Ta-Wei Chu ◽

and Jyh-Shing Roger Jang

Keyword(s):

Feature Selection ◽

Data Driven ◽

High Dimensional ◽

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Detecting malicious behavior in social platforms via hybrid knowledge- and data-driven systems

Future Generation Computer Systems ◽

10.1016/j.future.2021.06.033 ◽

2021 ◽

Author(s):

Jose N. Paredes ◽

Gerardo I. Simari ◽

Maria Vanina Martinez ◽

Marcelo A. Falappa

Keyword(s):

Data Driven ◽

Driven Systems ◽

Malicious Behavior ◽

Hybrid Knowledge

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Establish algebraic data-driven constitutive models for elastic solids with a tensorial sparse symbolic regression method and a hybrid feature selection technique

Journal of the Mechanics and Physics of Solids ◽

10.1016/j.jmps.2021.104742 ◽

2021 ◽

pp. 104742

Author(s):

Mingchuan Wang ◽

Cai Chen ◽

Weijie Liu

Keyword(s):

Feature Selection ◽

Constitutive Models ◽

Symbolic Regression ◽

Regression Method ◽

Data Driven ◽

Elastic Solids ◽

Feature Selection Technique ◽

Selection Technique

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The Evaluation of Wavelet and Data Driven Feature Selection for Image Understanding

2008 International Conference on BioMedical Engineering and Informatics ◽

10.1109/bmei.2008.101 ◽

2008 ◽

Author(s):

Liu Jinshuo ◽

Zhang Dengyi ◽

Liu Siwen ◽

Fang Ying ◽

Zhang Ming

Keyword(s):

Feature Selection ◽

Image Understanding ◽

Data Driven ◽

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