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1. Faithful visualization of categorical data

   By : Bollen, Thomas[UCL] Leurquin, Guillaume[UCL] Directed by : Nijssen, Siegfried[UCL] (2017) Ecole polytechnique de Louvain

2. Automated monitoring of bat species in Belgium

   By : Franco, Maxime[UCL] Lipani, Corrado[UCL] Directed by : Bonaventure, Olivier[UCL] Nijssen, Siegfried[UCL] (2020) Ecole polytechnique de Louvain

3. Constructing optimal forests of decision trees

   By : Bosch, Sami[UCL] Directed by : Verhaeghe, Hélène[UCL] Nijssen, Siegfried[UCL] (2020) Ecole polytechnique de Louvain

4. Évaluation et amélioration d’un réseau de transport en commun en terme de temps de trajet résidence-travail

   By : Schorochoff, Sophie[UCL] Directed by : Nijssen, Siegfried[UCL] (2020) Ecole polytechnique de Louvain

5. Finding informative cuboids in graphs with numerical attributes

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

6. Graph cube mining

   By : Demesmaeker, Florian[UCL] Directed by : Nijssen, Siegfried[UCL] Ghrab, Amine (2017) Ecole polytechnique de Louvain

7. Mining tree patterns from source code

   By : Losicki, Mariusz[UCL] Directed by : Nijssen, Siegfried[UCL] Mens, Kim[UCL] (2019) Ecole polytechnique de Louvain

8. Evaluation of students' source code submissions using Machine Learning

   By : Brigante, Simone[UCL] Directed by : Nijssen, Siegfried[UCL] (2020) Ecole polytechnique de Louvain

9. Using Python to mine for patterns in software

   By : Quinet, Loïc[UCL] Directed by : Mens, Kim[UCL] Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

10. Deep learning for software engineering

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

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