Dropout: a simple way to prevent neural networks from overfitting
2014· article· en· Computer Science
aff
34 279
citations
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Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
2016· article· en· Ecography· Environmental Science
aff
2 439
citations
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
2008· article· en· Engineering
afffund
1 453
citations
CMAR: accurate and efficient classification based on multiple class-association rules
2002· article· en· Computer Science
aff
1 209
citations
Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
2015· article· en· Journal of Chemical Information and Modeling· Computer Science
aff
1 186
citations
High-Dimensional Methods and Inference on Structural and Treatment Effects
2014· article· en· The Journal of Economic Perspectives· Mathematics
aff
716
citations
Enhancing a Somatic Maturity Prediction Model
2014· article· en· Medicine & Science in Sports & Exercise· Arts and Humanities
afffund
713
citations
700
citations
Genomic Selection in Plant Breeding: A Comparison of Models
2011· article· en· Crop Science· Biochemistry, Genetics and Molecular Biology
fundno aff
689
citations
Face recognition with radial basis function (RBF) neural networks
2002· article· en· IEEE Transactions on Neural Networks· Computer Science
aff
661
citations
Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
2000· article· en· Journal of Hydrology· Environmental Science
afffundsans résumé
617
citations
RNA secondary structure prediction using deep learning with thermodynamic integration
2021· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
fundno aff
496
citations
Learning to Reweight Examples for Robust Deep Learning
2018· article· en· International Conference on Machine Learning· Computer Science
aff
418
citations
Quantile regression neural networks: Implementation in R and application to precipitation downscaling
2010· article· en· Computers & Geosciences· Environmental Science
affsans résumé
402
citations
Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
2020· article· en· Construction and Building Materials· Engineering
affsans résumé
402
citations
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
2020· article· en· Remote Sensing· Environmental Science
aff
371
citations
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers
2013· article· en· Statistics in Medicine· Mathematics
afffund
357
citations
TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING
2015· article· en· arXiv (Cornell University)· Computer Science
aboutno aff
330
citations
323
citations
303
citations
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
2022· article· en· Sensors· Computer Science
aff
256
citations
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
2017· preprint· en· arXiv (Cornell University)· Computer Science
aff
250
citations
Simultaneous 1D inversion of loop–loop electromagnetic data for magnetic susceptibility and electrical conductivity
2003· article· en· Geophysics· Earth and Planetary Sciences
afffund
207
citations
204
citations
A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments
2020· article· en· Water Resources Research· Environmental Science
aff
203
citations