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HILGER Jean

Main Referenced Co-authors
STATE, Radu  (10)
CHARLIER, Jérémy Henri J.  (5)
Bergeron, Loris (2)
DAMOUN, Farouk  (2)
FRANCOIS, Jérôme  (2)
Main Referenced Keywords
Neural Networks (2); United Nations (UN) (2); Accurate measurement (1); AI (1); Algebraic Topology (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN) (5)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SEDAN - Service and Data Management in Distributed Systems (1)
Main Referenced Disciplines
Computer science (10)

Publications (total 10)

The most downloaded
132 downloads
ROSZEL, M., NORVILL, R., FIZ PONTIVEROS, B., HILGER, J., & STATE, R. (13 February 2023). Know Your Model (KYM): Increasing Trust in AI and Machine Learning [Paper presentation]. Deployable AI (DAI) Workshop at AAAI-2023. https://hdl.handle.net/10993/60674

The most cited

5 citations (Scopus®)

DAMOUN, F., Seba, H., HILGER, J., & STATE, R. (2023). G-HIN2Vec: Distributed Heterogeneous Graph Representations for Cardholder Transactions. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (pp. 528–535). New York, Unknown/unspecified: Association for Computing Machinery. doi:10.1145/3555776.3577740 https://hdl.handle.net/10993/55177

Bergeron, L., FRANCOIS, J., STATE, R., & HILGER, J. (2024). BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models. In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing. Association for Computational Linguistics (ACL).
Peer reviewed

DAMOUN, F., Seba, H., HILGER, J., & STATE, R. (2023). G-HIN2Vec: Distributed Heterogeneous Graph Representations for Cardholder Transactions. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (pp. 528–535). New York, Unknown/unspecified: Association for Computing Machinery. doi:10.1145/3555776.3577740
Peer reviewed

ROSZEL, M., NORVILL, R., FIZ PONTIVEROS, B., HILGER, J., & STATE, R. (13 February 2023). Know Your Model (KYM): Increasing Trust in AI and Machine Learning [Paper presentation]. Deployable AI (DAI) Workshop at AAAI-2023.
Peer reviewed

Bergeron, L., FRANCOIS, J., STATE, R., & HILGER, J. (2023). ULA, a Bibliometric Method to Identify Sustainable Development Goals using Large Language Models. In 2023 IEEE International Humanitarian Technology Conference, IHTC 2023. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/IHTC58960.2023.10508849
Peer reviewed

Ota, F. K. C., DAMOUN, F., Lagraa, S., Becerra-Sanchez, P., HILGER, J., & STATE, R. (2022). Event-Driven Interest Detection for Task-Oriented Mobile Apps. In F. K. C. Ota & F. DAMOUN, Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 582--598). Cham, Unknown/unspecified: Springer International Publishing. doi:10.1007/978-3-030-94822-1_38
Peer reviewed

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

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