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Laurent Carlier
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2020 – today
- 2024
- [c3]Ashraf Ghiye
, Baptiste Barreau
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation. ICAIF 2024: 231-238 - 2023
- [c2]Ashraf Ghiye
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. RecSys 2023: 798-804 - [i4]Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. CoRR abs/2308.01208 (2023) - 2022
- [i3]Jeremi Assael, Thibaut Heurtebize, Laurent Carlier, François Soupé:
Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning. CoRR abs/2212.10844 (2022) - 2021
- [i2]Baptiste Barreau, Laurent Carlier:
History-Augmented Collaborative Filtering for Financial Recommendations. CoRR abs/2102.13503 (2021) - 2020
- [j1]Baptiste Barreau, Laurent Carlier, Damien Challet:
Deep prediction of investor interest: A supervised clustering approach. Algorithmic Finance 8(3-4): 77-89 (2020) - [c1]Baptiste Barreau, Laurent Carlier:
History-Augmented Collaborative Filtering for Financial Recommendations. RecSys 2020: 492-497
2010 – 2019
- 2019
- [i1]Baptiste Barreau, Laurent Carlier, Damien Challet:
Deep Prediction of Investor Interest: a Supervised Clustering Approach. CoRR abs/1909.05289 (2019)
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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