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A sparse linear regression model for incomplete datasets

Referentgranskad
DOI
10.1007/s10044-019-00859-3
Veras, Marcelo B.A.; Mesquita, Diego P.P.; Mattos, Cesar L.C.; Gomes, João P.P.
Pattern Analysis and Applications2019

On the model-assisted regression estimators using remotely sensed auxiliary data

Referentgranskad
DOI
10.1016/j.rse.2022.113168
McRoberts, Ronald E.; Næsset, Erik; Heikkinen, Juha; Chen, Qi; Strimbu, Victor; Esteban, Jessica; Ho...
Remote Sensing of Environment2022

Verification-aided regression testing

Referentgranskad
DOI
10.1145/2610384.2610387
Pastore, Fabrizio; Mariani, Leonardo; Hyvärinen, Antti E.J.; Fedyukovich, Grigory; Sharygina, Natash...
23rd International Symposium on Software Testing and Analysis, ISSTA 20142014

Sparse Logistic Regression with Logical Features

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-319-31753-3_26
Zou, Yuan; Roos, Teemu
Lecture Notes in Computer Science2016

Robust regression via error tolerance

Referentgranskad
Öppen tillgång
DOI
10.1007/s10618-022-00819-2
Björklund, Anton; Henelius, Andreas; Oikarinen, Emilia; Kallonen, Kimmo; Puolamäki, Kai
Data Mining and Knowledge Discovery2022

Multiple Regression Analysis as a Comprehensive Tool to Model Flood Hazard in Sewersheds

Referentgranskad
DOI
10.1007/978-3-319-99867-1_98
Jato-Espino, Daniel; Sillanpää, Nora; Andrés-Doménech, Ignacio; Rodriguez-Hernandez, Jorge
Green Energy and Technology2019

Convex support vector regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ejor.2023.05.009
Liao, Zhiqiang; Dai, Sheng; Kuosmanen, Timo
European journal of operational research2023

Maximum Likelihood Robust Regression by Mixture Models

Referentgranskad
Brandt, Sami S.
Journal of Mathematical Imaging and Vision2006

ESPON-TITAN: territorial patterns of natural hazards in Europe

Referentgranskad
Öppen tillgång
DOI
10.1007/s11069-023-06336-9
Klein, Johannes; Valkama, Marianne; Staudt, Michael; Schmidt-Thomé, Philipp; Kallio, Hilkka
Natural Hazards2024

Reliably Calibrated Isotonic Regression

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-030-75762-5_46
Nyberg, Otto; Klami, Arto
Lecture Notes in Artificial Intelligence2021

A sparse linear regression model for incomplete datasets

Referentgranskad
DOI
10.1007/s10044-019-00859-3
2019

On the model-assisted regression estimators using remotely sensed auxiliary data

Referentgranskad
DOI
10.1016/j.rse.2022.113168
2022

Verification-aided regression testing

Referentgranskad
DOI
10.1145/2610384.2610387
2014

Sparse Logistic Regression with Logical Features

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-319-31753-3_26
2016

Robust regression via error tolerance

Referentgranskad
Öppen tillgång
DOI
10.1007/s10618-022-00819-2
2022

Multiple Regression Analysis as a Comprehensive Tool to Model Flood Hazard in Sewersheds

Referentgranskad
DOI
10.1007/978-3-319-99867-1_98
2019

Convex support vector regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ejor.2023.05.009
2023

Maximum Likelihood Robust Regression by Mixture Models

Referentgranskad
2006

ESPON-TITAN: territorial patterns of natural hazards in Europe

Referentgranskad
Öppen tillgång
DOI
10.1007/s11069-023-06336-9
2024

Reliably Calibrated Isotonic Regression

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-030-75762-5_46
2021