Special Issue on Feature Engineering

Guest Editors: Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke

Journal

Machine Learning

Machine Learning is an international forum focusing on computational approaches to learning.

Tim Verdonck

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Bart Baesens

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María Óskarsdóttir

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Seppe vanden Broucke

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Showing 1-10 of 10 articles

TSFuse: automated feature construction for multiple time series data
Arne De Brabandere
Tim Op De Beéck
Jesse Davis
OriginalPaper 16 May 2022 Pages: 5001 - 5056
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data
Ekaterina Loginova
Wai Kit Tsang
Dries F. Benoit
OriginalPaper 18 November 2021 Pages: 4761 - 4784
Coefficient tree regression: fast, accurate and interpretable predictive modeling
Özge Sürer
Daniel W. Apley
Edward C. Malthouse
OriginalPaper 12 November 2021 Pages: 4723 - 4759
Special issue on feature engineering editorial
Tim Verdonck
Bart Baesens
Seppe vanden Broucke
EditorialNotes 06 August 2021 Pages: 3917 - 3928
Can metafeatures help improve explanations of prediction models when using behavioral and textual data?
Yanou Ramon
David Martens
Stiene Praet
OriginalPaper 08 June 2021 Pages: 4245 - 4284
An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme
Emrah Hancer
OriginalPaper 12 May 2021 Pages: 4977 - 5000
VEST: automatic feature engineering for forecasting
Vitor Cerqueira
Nuno Moniz
Carlos Soares
OriginalPaper 06 April 2021 Pages: 4523 - 4545
Transforming variables to central normality
Jakob Raymaekers
Peter J. Rousseeuw
OriginalPaper Open access 21 March 2021 Pages: 4953 - 4975
Boosting Poisson regression models with telematics car driving data
Guangyuan Gao
He Wang
Mario V. Wüthrich
OriginalPaper Open access 21 March 2021 Pages: 243 - 272
New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction
Wenya Shi
Gang Wu
OriginalPaper 02 March 2021 Pages: 3889 - 3916

Special Issue on Feature Engineering

Participating journal

Machine Learning

Editors

Tim Verdonck

Bart Baesens

María Óskarsdóttir

Seppe vanden Broucke

Articles

TSFuse: automated feature construction for multiple time series data

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Coefficient tree regression: fast, accurate and interpretable predictive modeling

Special issue on feature engineering editorial

Can metafeatures help improve explanations of prediction models when using behavioral and textual data?

An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme

VEST: automatic feature engineering for forecasting

Transforming variables to central normality

Boosting Poisson regression models with telematics car driving data

New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction

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Special Issue on Feature Engineering

Participating journal

Editors

Tim Verdonck

Bart Baesens

María Óskarsdóttir

Seppe vanden Broucke

Articles

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