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Machine learning plays an essential role in preventing financial losses in the banking industry.
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik and Tomas Pfister. 2019 · 1908
Earlier work this paper cites.
An analysis of transformations
George EP Box and David R Cox. 1964 · 1964
Earlier work this paper cites.
Phoneme recognition using time-delay neural networks
Alex Waibel, Toshiyuki Hanazawa, Geoffrey Hinton, Kiyohiro Shikano, and Kevin J Lang. 1989 · 1989
Earlier work this paper cites.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Early stopping-but when?
Lutz Prechelt. 1998 · 1998
Earlier work this paper cites.
Greedy function approximation: A gradient boosting machine
Jerome H. Friedman. 2001 · 2001
Earlier work this paper cites.
Credit scoring and its applications
Lyn C Thomas, David B Edelman, and Jonathan N Crook. 2002 · 2002
Earlier work this paper cites.
Introduction to information retrieval
Christopher D Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008 · 2008
Earlier work this paper cites.
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
Loris Nanni and Alessandra Lumini. 2009 · 2008
Earlier work this paper cites.
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. 2012 · 2012
Cited alongside, same era.
On the difficulty of training recurrent neural networks. In Proceedings of the 30th International Conference on Machine Learning . 1310–1318
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Bayesian Optimization Primer
Ian Dewancker, Michael McCourt, and Scott Clark. 2015 · 2015
Cited alongside, same era.
Xgboost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD Unternational Conference on Knowledge Discovery and Data Mining . 785–794
Tianqi Chen and Carlos Guestrin. 2016 · 2016
Language modeling with gated convolutional networks. In Proceedings of the 34th International Conference on Machine Learning . 933–941
Yann N Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
Later among the works it cites.
Convolutional sequence to sequence learning. In Proceedings of the 34th International Conference on Machine Learning . 1243–1252
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin. 2017 · 2017
Later among the works it cites.
David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron Courville, and Chris Pal. 2017 · 2017
Later among the works it cites.
Credit risk analysis using machine and deep learning models
Peter Martey Addo, Dominique Guegan, and Bertrand Hassani. 2018 · 2018
Later among the works it cites.
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
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Cited alongside, same era.
Identity mappings in deep residual networks, Vol. 9908 LNCS. Springer Verlag, 630–645
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
Neural machine translation in linear time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, and Koray Kavukcuoglu. 2016 · 2016
Cited alongside, same era.
Wavenet: A generative model for raw audio
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. 2016 · 2016
Cited alongside, same era.
Fisher Yu and Vladlen Koltun. 2016 · 2016
Cited alongside, same era.
Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. 2018 · 2018
Later among the works it cites.
Deep learning detecting fraud in credit card transactions. In Proceedings of the Systems and Information Engineering Design Symposium, 2018 . 129–134
Abhimanyu Roy, Jingyi Sun, Robert Mahoney, Loreto Alonzi, Stephen Adams, and Peter Beling. 2018 · 2018
Later among the works it cites.
A deep learning approach for credit scoring of Peer-to-Peer lending using attention mechanism LSTM
Chongren Wang, Dongmei Han, Qigang Liu, and Suyuan Luo. 2018 · 2018
Later among the works it cites.
E.T.-Rnn: Applying deep learning to credit loan applications. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . 2183–2190
Dmitrii Babaev, Alexander Tuzhilin, Maxim Savchenko, and Dmitrii Umerenkov. 2019 · 2019
Later among the works it cites.
Using Generative Adversarial Networks to Synthesize Artificial Financial Datasets. In 33rd Conference on Neural Information Processing Systems, Workshop on Robust AI in Financial Services
Dmitry Efimov, Di Xu, Alexey Nefedov, and Archana Anandakrishnan. 2019 · 2019
Later among the works it cites.