1. [
1
] [n. d.]. LOBSTER: Limit Order Book System - The Efficient Reconstructor. https://lobsterdata.com/. [1] [n. d.]. LOBSTER: Limit Order Book System - The Efficient Reconstructor. https://lobsterdata.com/.
2. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein Generative Adversarial Networks . In Proceedings of the 34th International Conference on Machine Learning. PMLR, 214–223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein Generative Adversarial Networks. In Proceedings of the 34th International Conference on Machine Learning. PMLR, 214–223.
3. Shaojie Bai , J Zico Kolter , and Vladlen Koltun . 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 ( 2018 ). Shaojie Bai, J Zico Kolter, and Vladlen Koltun. 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 (2018).
4. Investor Sentiment in the Stock Market
5. Aleksandar Bojchevski , Oleksandr Shchur , Daniel Zügner , and Stephan Günnemann . 2018 . NetGAN: Generating Graphs via Random Walks . In Proceedings of the 35th International Conference on Machine Learning. PMLR, 610–619 . Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, and Stephan Günnemann. 2018. NetGAN: Generating Graphs via Random Walks. In Proceedings of the 35th International Conference on Machine Learning. PMLR, 610–619.