Autoencoders and generative adversarial networks for anomaly detection for sequences S Ger, D Klabjan arXiv preprint arXiv:1901.02514, 2019 | 15 | 2019 |
Statistical overfitting and backtest performance DH Bailey, S Ger, ML de Prado, A Sim Risk-based and factor investing, 449-461, 2015 | 12 | 2015 |
Autoencoders and generative adversarial networks for imbalanced sequence classification S Ger, YS Jambunath, D Klabjan 2023 IEEE International Conference on Big Data (BigData), 1101-1108, 2023 | 8 | 2023 |
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types S Ger, YS Jambunath, D Klabjan, J Utke 2023 IEEE International Conference on Big Data (BigData), 1109-1116, 2023 | | 2023 |
Classification Models for Partially Ordered Sequences S Ger, D Klabjan, J Utke International Conference on Artificial Neural Networks, 294-305, 2021 | | 2021 |
Recurrent Neural Network Architectures for Sequence Classification and Explanation S Ger Northwestern University, 2020 | | 2020 |
Simple Example of Backtest Overfitting (SEBO) KJ Wu, S Ger, A Sim, DH Bailey, M Lopez de Prado Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States), 2015 | | 2015 |