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Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation
23 August 2017
Ioannis Tsamardinos
Elissavet Greasidou
Michalis Tsagris
Giorgos Borboudakis
OnRL
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Papers citing
"Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation"
10 / 10 papers shown
Title
Post-Selection Confidence Bounds for Prediction Performance
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The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach
Shubhayu Bhattacharyay
Ioan Milosevic
L. Wilson
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the CENTER-TBI investigators/participants
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15
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10 Feb 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
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Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Frank Hutter
135
285
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08 Jul 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
Lucas Zimmer
Marius Lindauer
Frank Hutter
MU
129
92
0
24 Jun 2020
Learning Gradient Boosted Multi-label Classification Rules
Michael Rapp
E. Mencía
Johannes Furnkranz
Vu-Linh Nguyen
Eyke Hüllermeier
53
26
0
23 Jun 2020
A generalised OMP algorithm for feature selection with application to gene expression data
M. Tsagris
Zacharias Papadovasilakis
Kleanthi Lakiotaki
Ioannis Tsamardinos
16
4
0
01 Apr 2020
Bootstrap Bias Corrected Cross Validation applied to Super Learning
Krzysztof Mnich
A. Golinska
A. Polewko-Klim
W. Rudnicki
16
3
0
18 Mar 2020
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
P. Widera
P. Welsing
C. Ladel
J. Loughlin
F. Lafeber
F. Dop
J. Larkin
H. Weinans
A. Mobasheri
J. Bacardit
80
54
0
30 Sep 2019
Robust parametric modeling of Alzheimer's disease progression
Mostafa Mehdipour-Ghazi
Mads Nielsen
A. Pai
Marc Modat
M. Jorge Cardoso
Sébastien Ourselin
Lauge Sørensen
OOD
28
23
0
14 Aug 2019
Forward-Backward Selection with Early Dropping
Giorgos Borboudakis
Ioannis Tsamardinos
196
98
0
30 May 2017
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