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A survey of cross-validation procedures for model selection

A survey of cross-validation procedures for model selection

27 July 2009
Sylvain Arlot
Alain Celisse
ArXiv (abs)PDFHTML

Papers citing "A survey of cross-validation procedures for model selection"

50 / 304 papers shown
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
267
16
0
24 Dec 2025
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
Farouq Benchallal
A. Hafiane
Nicolas Ragot
R. Canals
178
0
0
12 Oct 2025
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
Weijian Deng
Weijie Tu
Ibrahim Radwan
Mohammad Abu Alsheikh
Stephen Gould
Liang Zheng
194
0
0
03 Oct 2025
Predicting the descent into extremism and terrorism
Predicting the descent into extremism and terrorism
R.O. Lane
W.J. Holmes
C.J. Taylor
H.M. State-Davey
A.J. Wragge
136
1
0
19 Sep 2025
Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria
Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection CriteriaComputer Methods in Applied Mechanics and Engineering (CMAME), 2025
Jorge-Humberto Urrea-Quintero
D. Anton
Laura De Lorenzis
Henning Wessels
229
5
0
19 Sep 2025
Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong
Briana H. Beatty
Peter G. Kennedy
Jane Marks
T. Hocking
151
0
0
11 Sep 2025
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and ExplanationsACM Transactions on Knowledge Discovery from Data (TKDD), 2025
Gianlucca L. Zuin
Adriano Veloso
203
0
0
11 Sep 2025
A Deep Learning Application for Psoriasis Detection
A Deep Learning Application for Psoriasis Detection
Anna Milani
Fábio S. da Silva
Elloá B. Guedes
Ricardo Rios
137
3
0
25 Aug 2025
Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso
Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso
Ryan Burn
176
0
0
20 Aug 2025
Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle Closure Glaucoma Progression
Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle Closure Glaucoma Progression
Swati Sharma
Thanadet Chuangsuwanich
Royston K. Y. Tan
Shimna C. Prasad
T. A. Tun
S. Perera
M. Buist
Tin Aung
M. Nongpiur
M. Girard
146
0
0
19 Aug 2025
Jet Image Tagging Using Deep Learning: An Ensemble Model
Jet Image Tagging Using Deep Learning: An Ensemble ModelJournal of Instrumentation (JINST), 2025
Juvenal Bassa
V. Manian
Sudhir Malik
Arghya Chattopadhyay
MU
172
1
0
09 Aug 2025
Irredundant $k$-Fold Cross-Validation
Irredundant kkk-Fold Cross-Validation
Jesus S. Aguilar-Ruiz
173
0
0
26 Jul 2025
A Plea for History and Philosophy of Statistics and Machine Learning
A Plea for History and Philosophy of Statistics and Machine Learning
Hanti Lin
146
0
0
27 Jun 2025
The use of cross validation in the analysis of designed experiments
The use of cross validation in the analysis of designed experiments
Maria L. Weese
Byran J. Smucker
David J. Edwards
215
1
0
17 Jun 2025
Stability Regularized Cross-Validation
Stability Regularized Cross-Validation
Ryan Cory-Wright
A. Gómez
312
0
0
11 May 2025
Study of the influence of a biased database on the prediction of standard algorithms for selecting the best candidate for an interview
Study of the influence of a biased database on the prediction of standard algorithms for selecting the best candidate for an interview
Shuyu Wang
Angélique Saillet
Philomène Le Gall
Alain Lacroux
Christelle Martin-Lacroux
Vincent Brault
176
0
0
05 May 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
455
25
0
17 Apr 2025
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Eloi Lindas
Yannig Goude
Philippe Ciais
235
0
0
14 Apr 2025
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Rakesh Nadig
Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
Mohammad Sadrosadati
Mohammad Sadrosadati
O. Mutlu
Onur Mutlu
442
3
0
26 Mar 2025
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
Eric Ziebell
Ratmir Miftachov
Bernhard Stankewitz
Laura Hucker
BDL
312
2
0
20 Mar 2025
Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring
Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring
Javier Marín
458
0
0
13 Mar 2025
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Romain Edmond Lacoste
GP
338
1
0
26 Feb 2025
e-Fold Cross-Validation for Recommender-System Evaluation
e-Fold Cross-Validation for Recommender-System Evaluation
Moritz Baumgart
Lukas Wegmeth
Tobias Vente
Joeran Beel
324
7
0
02 Dec 2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on
  Thin Support Regions
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support RegionsConference on Uncertainty in Artificial Intelligence (UAI), 2024
Mai Elkady
Thu Bui
Bruno Ribeiro
David I. Inouye
284
0
0
20 Nov 2024
SOAK: Same/Other/All K-fold cross-validation for estimating similarity
  of patterns in data subsets
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets
Toby Dylan Hocking
Gabrielle Thibault
Cameron Scott Bodine
Paul Nelson Arellano
Alexander F Shenkin
Olivia Jasmine Lindly
OOD
144
0
0
11 Oct 2024
RandALO: Out-of-sample risk estimation in no time flat
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
462
3
0
15 Sep 2024
Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data
Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data
I. I. Gauran
H. Ombao
Zhaoxia Yu
215
0
0
06 Aug 2024
Automated Classification of Dry Bean Varieties Using XGBoost and SVM
  Models
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models
Ramtin Ardeshirifar
239
2
0
02 Aug 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Garud Iyengar
Henry Lam
Jiashuo Liu
344
2
0
03 Jul 2024
Lexidate: Model Evaluation and Selection with Lexicase
Lexidate: Model Evaluation and Selection with Lexicase
Jose Guadalupe Hernandez
Anil Kumar Saini
Jason H. Moore
137
3
0
17 Jun 2024
Distributional bias compromises leave-one-out cross-validation
Distributional bias compromises leave-one-out cross-validation
George I. Austin
I. Pe’er
T. Korem
380
3
0
03 Jun 2024
Reshuffling Resampling Splits Can Improve Generalization of
  Hyperparameter Optimization
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
Thomas Nagler
Lennart Schneider
J. Herbinger
Matthias Feurer
236
4
0
24 May 2024
Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression
Fast Computation of Leave-One-Out Cross-Validation for kkk-NN Regression
Motonobu Kanagawa
660
4
0
08 May 2024
Tuning parameter selection in econometrics
Tuning parameter selection in econometrics
Denis Chetverikov
320
4
0
05 May 2024
On Neighbourhood Cross Validation
On Neighbourhood Cross Validation
Simon N. Wood
165
2
0
25 Apr 2024
A Computer Vision-Based Quality Assessment Technique for the automatic
  control of consumables for analytical laboratories
A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories
Meriam Zribi
Paolo Pagliuca
Francesca Pitolli
246
6
0
16 Apr 2024
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the
  Problem
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
Ryan S. Baker
Nigel Bosch
Stephen Hutt
A. F. Zambrano
Alex J. Bowers
CML
262
1
0
10 Apr 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient
  Descent
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
Pratik Patil
Yuchen Wu
Robert Tibshirani
274
6
0
26 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
617
6
0
22 Feb 2024
A Machine Learning Ensemble Model for the Detection of Cyberbullying
A Machine Learning Ensemble Model for the Detection of Cyberbullying
Abulkarim Faraj Alqahtani
Mohammad Ilyas
112
16
0
19 Feb 2024
The Limits of Assumption-free Tests for Algorithm Performance
The Limits of Assumption-free Tests for Algorithm Performance
Yuetian Luo
Rina Foygel Barber
516
2
0
12 Feb 2024
A review of regularised estimation methods and cross-validation in
  spatiotemporal statistics
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
Philipp Otto
A. Fassò
Paolo Maranzano
297
13
0
31 Jan 2024
Enumerating the k-fold configurations in multi-class classification
  problems
Enumerating the k-fold configurations in multi-class classification problems
A. Fazekas
György Kovács
197
0
0
24 Jan 2024
Inconsistency of cross-validation for structure learning in Gaussian
  graphical models
Inconsistency of cross-validation for structure learning in Gaussian graphical models
Zhao Lyu
Wai Ming Tai
Mladen Kolar
Bryon Aragam
CML
194
0
0
28 Dec 2023
Dual-stage optimizer for systematic overestimation adjustment applied to
  multi-objective genetic algorithms for biomarker selection
Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection
L. Cattelani
Vittorio Fortino
258
7
0
27 Dec 2023
Automatic cross-validation in structured models: Is it time to leave out
  leave-one-out?
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?Spatial Statistics (Spat. Stat.), 2023
A. Adin
E. Krainski
A. Lenzi
Z. Liu
J. Martínez-Minaya
H. Rue
331
47
0
28 Nov 2023
adF: A Novel System for Measuring Web Fingerprinting through Ads
adF: A Novel System for Measuring Web Fingerprinting through Ads
Miguel A. Bermejo-Agueda
Patricia Callejo
R. C. Rumín
Ángel Cuevas
203
4
0
15 Nov 2023
On Leakage in Machine Learning Pipelines
On Leakage in Machine Learning Pipelines
Leonard Sasse
Eliana Nicolaisen-Sobesky
Juergen Dukart
Simon B. Eickhoff
Michael Götz
...
Abhijit Kulkarni
Juha Lahnakoski
Bradley C. Love
F. Raimondo
K. Patil
AI4CE
401
29
0
07 Nov 2023
Learned Causal Method Prediction
Learned Causal Method Prediction
Shantanu Gupta
Cheng Zhang
Agrin Hilmkil
OOD
379
3
0
07 Nov 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression
  via Expectation Maximization
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation MaximizationNeural Information Processing Systems (NeurIPS), 2023
Shu Yu Tew
Mario Boley
Daniel F. Schmidt
UQCV
329
6
0
29 Oct 2023
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