Charlier, J. H. J., Ormazabal, G., State, R., & Hilger, J. (2019). MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning. Proceedings of the Fourth Workshop on MIning DAta for financial applicationS (MIDAS 2019) co-located with the 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). doi:10.1007/978-3-030-37720-5_1 Peer reviewed |
Charlier, J. H. J., Petit, F., Ormazabal, G., State, R., & Hilger, J. (2019). Visualization of AE's Training on Credit Card Transactions with Persistent Homology. Proceedings of the International Workshop on Applications of Topological Data Analysis In conjunction with ECML PKDD 2019. Peer reviewed |
Charlier, J. H. J., State, R., & Hilger, J. (2019). PHom-GeM: Persistent Homology for Generative Models. The 6th Swiss Conference on Data Science. doi:10.1109/SDS.2019.000-1 Peer reviewed |
Charlier, J. H. J., State, R., & Hilger, J. (2019). Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. 32nd Canadian Conference on Artificial Intelligence Proceedings. doi:10.1007/978-3-030-18305-9_59 Peer reviewed |
Charlier, J. H. J., Falk, E., State, R., & Hilger, J. (2018). User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition. Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW). doi:10.1109/ICDMW.2018.00130 Peer reviewed |