We are soliciting applications for multiple fully-funded PhD student vacancies in the FORSIED research group. Applications by top postdoctoral candidates will be considered as well. Topics of interest: Network and[ . . . ]
We are co-organizing an international workshop on Automating Data Science, within the context of ECML-PKDD, on Friday 20 September 2019. Workshop chairs: Tijl De Bie (UGent, Belgium) Luc De Raedt (KU[ . . . ]
We co-organized a Dagstuhl workshop on Automating Data Science, September 30-October 5, 2018. Organizers Tijl De Bie (Ghent University, BE) Luc De Raedt (KU Leuven, BE) Holger H. Hoos (Leiden University, NL) Padhraic[ . . . ]
Presentation given at IDEA’18 in August 2018.
Presentation given at Facebook research, August 2018.
Xi Chen, Jefrey Lijffijt, and Tijl De Bie. Quantifying and Minimizing Risk of Conflict in Social Networks. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data[ . . . ]
Anes Bendimerad*, Ahmad Mel*, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie. “Mining Subjectively Interesting Attributed Subgraphs.” Under review, 2018. (*equal contributors)
Bo Kang, Jefrey Lijffijt, Raul Santos Rodriguez, Tijl De Bie. “SICA: Subjectively Interesting Component Analysis.” Volume 32, Issue 4, pp 949–987, July 2018. (springer)
Adriaens, Florian, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, and Polina Rozenshtein. “From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths.” arXiv preprint arXiv:1802.03549 (2018).
Bo Kang, Junning Deng, Jefrey Lijffijt and Tijl De Bie. Clipped Projections for More Informative Visualizations. In Proceedings of the KDD 2017 Workshop on Interactive Data Exploration and Analytics (IDEA),[ . . . ]