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1. Modeling executives' remunerations

   By : Lessuise, Amélie[UCL] Directed by : Nijssen, Siegfried[UCL] (2018) Ecole polytechnique de Louvain

2. Amélioration des zones d'adresses chez Bpost

   By : Teugels, Simon[UCL] Directed by : Nijssen, Siegfried[UCL] (2019) Ecole polytechnique de Louvain

3. Prédire la réussite d’un étudiant en analysant les données d’INGInious : une approche par Machine Learning

   By : Hormaux, Robin[UCL] Directed by : Nijssen, Siegfried[UCL] (2019) Ecole polytechnique de Louvain

4. Next Point-of-interest prediction : towards an interpretable model

   By : Mulamba Ke Tchomba, Maxime[UCL] Directed by : Nijssen, Siegfried[UCL] (2019) Ecole polytechnique de Louvain

5. Optimizing queries in probabilistic graph databases

   By : Tixhon, Yorick[UCL] Directed by : Nijssen, Siegfried[UCL] (2019) Ecole polytechnique de Louvain

6. Exploratory analysis of parcel distribution in Belgium in 2020

   By : Delava, Richard[UCL] Directed by : Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

7. Graph Neural Networks for predicting molecule activity

   By : Cantarutti, Maximiliano[UCL] Directed by : Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

8. AutoML : optimization of hyperparameters

   By : Carvalho, Alisson[UCL] Directed by : Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

9. Pattern visualization in heatmaps

   By : Lechien, Grégoire[UCL] Directed by : Nijssen, Siegfried[UCL] (2022) Ecole polytechnique de Louvain

10. How to find Decision Trees that are fair ?

    By : Laderrière, Loïc[UCL] Directed by : Nijssen, Siegfried[UCL] (2022) Ecole polytechnique de Louvain

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