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2020 – today
- 2023
[c11]Loris Bergeron, Jérôme François, Radu State, Jean Hilger:
ULA, a Bibliometric Method to Identify Sustainable Development Goals using Large Language Models. IHTC 2023: 1-6- [c10]Farouk Damoun
, Hamida Seba, Jean Hilger, Radu State:
G-HIN2Vec: Distributed heterogeneous graph representations for cardholder transactions. SAC 2023: 528-535 - 2022
- [c9]Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State:
Mobile Application Behaviour Anomaly Detection based on API Calls. IEEE Big Data 2022: 1892-1899 - 2021
- [c8]Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State:
Event-Driven Interest Detection for Task-Oriented Mobile Apps. MobiQuitous 2021: 582-598 - [i9]Mary Roszel, Robert Norvill, Jean Hilger, Radu State:
Know Your Model (KYM): Increasing Trust in AI and Machine Learning. CoRR abs/2106.11036 (2021) - 2020
- [j1]Alexander Yakubov, Wazen M. Shbair, Nida Khan, Radu State, Christophe Medinger, Jean Hilger:
BlockPGP: A Blockchain-based Framework for PGP Key Servers. Int. J. Netw. Comput. 10(1): 1-24 (2020) - [c7]Robert Norvill, Cyril Cassanges, Wazen M. Shbair, Jean Hilger, Andrea J. Cullen, Radu State:
A Security and Privacy Focused KYC Data Sharing Platform. BSCI 2020: 151-160 - [c6]Robert Norvill, Jean Hilger, Irfan Awan, Andrea J. Cullen, Radu State:
Decentralised Compliant Data Trading for Banks. IECC 2020: 121-128
2010 – 2019
- 2019
- [c5]Jérémy Charlier, Radu State, Jean Hilger:
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. Canadian AI 2019: 556-562 - [c4]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning. MIDAS@PKDD 2019: 1-15 - [c3]Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. SDS 2019: 87-92 - [i8]Jérémy Charlier, Radu State, Jean Hilger:
Modeling Smart Contracts Activities: A Tensor Based Approach. CoRR abs/1905.09868 (2019) - [i7]Jérémy Charlier, Radu State, Jean Hilger:
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling. CoRR abs/1905.09869 (2019) - [i6]Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. CoRR abs/1905.09894 (2019) - [i5]Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition. CoRR abs/1905.10363 (2019) - [i4]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
VecHGrad for solving accurately complex tensor decomposition. CoRR abs/1905.12413 (2019) - [i3]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Modified Q-Learning for Vasicek Model. CoRR abs/1905.12567 (2019) - [i2]Jérémy Charlier, Radu State, Jean Hilger:
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. CoRR abs/1905.12568 (2019) - [i1]Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger:
PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders. CoRR abs/1905.13020 (2019) - 2018
- [c2]Jérémy Charlier, Radu State, Jean Hilger:
Non-negative Paratuck2 Tensor Decomposition Combined to LSTM Network for Smart Contracts Profiling. BigComp 2018: 74-81 - [c1]Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition. ICDM Workshops 2018: 886-894
Coauthor Index
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