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In this study, a new R package, \texttt{rethnicity} is provided for predicting ethnicity based on names.
The Psycho-Biology of Language: An Introduction to Dynamic Philology
Zipf, G. K. (1936) · 1936
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Adaptive Fraud Detection
Fawcett, T., & Provost, F. (1997) · 1997
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Long Short-Term Memory
Hochreiter, S., & Schmidhuber, J. (1997) · 1997
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SMOTE: Synthetic Minority Over-sampling Technique
Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002) · 2002
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The Causes and Consequences of Distinctively Black Names
Fryer, R. G., Jr., & Levitt, S. D. (2004) · 2004
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Graves, A., & Schmidhuber, J. (2005) · 2005
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Use of Geocoding and Surname Analysis to Estimate Race and Ethnicity
Fiscella, K., & Fremont, A. M. (2006) · 2006
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Classification of imbalanced data: A review
Sun, Y., Wong, A. K. C., & Kamel, M. S. (2009) · 2009
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Rcpp: Seamless R and C++ Integration
Eddelbuettel, D., & Francois, R. (2011) · 2011
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Generating text with recurrent neural networks
Sutskever, I., Martens, J., & Hinton, G. (2011) · 2011
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Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package
Bates, D., & Eddelbuettel, D. (2013) · 2013
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Mapping the Ideological Marketplace
Bonica, A. (2014) · 2014
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Economics in the age of big data
Einav, L., & Levin, J. (2014) · 2014
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Distilling the Knowledge in a Neural Network
Hinton, G., Vinyals, O., & Dean, J. (2015) · 2015
Cited alongside, same era.
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
Fernandez, A., Garcia, S., Herrera, F., & Chawla, N. V. (2018) · 2018
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Predicting Race and Ethnicity From the Sequence of Characters in a Name
Sood, G., & Laohaprapanon, S. (2018) · 2018
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Database on Ideology, Money in Politics, and Elections (DIME)
Bonica, A. (2019) · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · 2019
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Keras: R Interface to ’Keras’
Kalinowski, T., Falbel, D., Allaire, J. J., Chollet, F., Tang, Y., Bijl, W. V. D., Studer, M., Keydana, S., Bijl, W. V. D., Studer, M., & Keydana, S. (2021) · 2021
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Character-level Convolutional Networks for Text Classification
Zhang, X., Zhao, J., & LeCun, Y. (2015) · 2015
Cited alongside, same era.
Florida Voter Registration Data
Sood, G. (2017) · 2017
Cited alongside, same era.
Tensorflow: R Interface to ’TensorFlow’
Falbel, D., Allaire, J. J., Tang, Y., Eddelbuettel, D., Golding, N., Kalinowski, T., Golding, N., Kalinowski, T., , & Tutorials), G. I. E. (2021a)
Cited in the paper.
Torch: Tensors and Neural Networks with ’GPU’ Acceleration
Falbel, D., Luraschi, J., Selivanov, D., Damiani, A., Regouby, C., Joachimiak, K., & RStudio (2021b)
Cited in the paper.
R-Friendly Multi-Threading in C++
Nagler, T. (2021) · 2021
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Reticulate: Interface to ’Python’
Ushey, K., Allaire, J. J., Tang, Y., Eddelbuettel, D., Lewis, B., Keydana, S., Hafen, R., Geelnard, M., Hafen, R., library, M. G. T., & http://tinythreadpp.bitsnbites.eu/) (2021) · 2021
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ByT5: Towards a token-free future with pre-trained byte-to-byte models
Xue, L., Barua, A., Constant, N., Al-Rfou, R., Narang, S., Kale, M., Roberts, A., & Raffel, C. (2021) · 2021
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