Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Srivastava, N.; Hinton, G.; Krizhevsky, A.; Sutskever, I.; Salakhutdinov, R · 1958

Earlier work this paper cites.

Bootstrap Methods: Another look at the jackknife

Efron, B · 1979

Earlier work this paper cites.

Matrix Computations

Golub, G.H.; Loan, C.F.V · 1996

Earlier work this paper cites.

Dimensionality reduction by random mapping: fast similarity computation for clustering

Kaski, S · 1998

Earlier work this paper cites.

An Elementary Proof of the Johnson-Lindenstrauss Lemma ;

Dasgupta, S.; Gupta, A · 1999

Earlier work this paper cites.

Popular Ensemble Methods: An Empirical Study

Opitz, D.; Maclin, R · 1999

Earlier work this paper cites.

Random projection in dimensionality reduction: Applications to image and text data

Bingham, E.; Mannila, H · 2001

Earlier work this paper cites.

Complexity measures of supervised classification problems

Ho, T.K.; Basu, M · 2002

Earlier work this paper cites.

Data complexity assessment in undersampled classification of high-dimensional biomedical data

Baumgartner, R.; Somorjai, R · 2006

Earlier work this paper cites.

A meta-learning framework for pattern classification by means of data complexity measures

Sotoca, J.M.; Mollineda, R.A.; Sánchez, J.S · 2006

Earlier work this paper cites.

Object representation, sample size and dataset complexity

Duin, R.P.W.; Pękalska, E · 2006

Cited alongside, same era.

An Introduction to Kolmogorov Complexity and Its Applications

Li, M.; Vitányi, P · 2008

Cited alongside, same era.

Visualizing Data using t-SNE

van der Maaten, L.; Hinton, G · 2008

Cited alongside, same era.

Learning Multiple Layer of Features from Tiny Images ; Technical Report; Computer Science Department, University of Toronto: Toronto, ON, Canada, 2009

Krizhevsky, A · 2009

Cited alongside, same era.

ImageNet: A large-scale hierarchical image database

Deng, J.; Dong, W.; Socher, R.; Li, L.J.; Li, K.; Fei-Fei, L · 2009

Cited alongside, same era.

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction

Masci, J.; Meier, U.; Cireşan, D.; Schmidhuber, J · 2011

A set of complexity measures designed for applying meta-learning to instance selection

Leyva, E.; González, A.; Pérez, R · 2015

Later among the works it cites.

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Original

Ioffe, S.; Szegedy, C · 2015

Later among the works it cites.

Classifier recommendation using data complexity measures

Garcia, L.P.F.; Lorena, A.C.; de Souto, M.C.P.; Ho, T.K · 2018

Later among the works it cites.

Using complexity measures to evolve synthetic classification datasets

de Melo, V.V.; Lorena, A.C · 2018

Later among the works it cites.

Measuring the intrinsic dimension of object landscapes

Li, C.; Farkhoor, H.; Liu, R.; Yosinski, J · 2018

Later among the works it cites.

Spectral metric for dataset complexity assessment