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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. Finding informative cuboids in graphs with numerical attributes

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

3. Graph cube mining

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

4. Mining tree patterns from source code

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

5. 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

6. Deep learning for software engineering

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

7. Can data mining discover software changes ?

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

8. Pattern visualisation in heat maps

   By : Van Vracem, Gauthier[UCL] Directed by : Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

9. Extracting ESG data from business documents

   By : Van Der Elst, Jérôme[UCL] Directed by : Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

10. Automated detection of bat species in Belgium

    By : Beauvois, Mélanie[UCL] Dierckx, Lucile[UCL] Directed by : Bonaventure, Olivier[UCL] Nijssen, Siegfried[UCL] (2021) Ecole polytechnique de Louvain

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