1. Edouard Fouché and Klemens Böhm, "Monte Carlo Dependency Estimation", Best Paper Award!, Proceedings of the 31st International Conference on Scientific and Statistical Database Management (SSDBM ’19), July 23–25, 2019, Santa Cruz, CA, USA. Supplementary Material: GitHub (experiments); GitHub (deployment); Poster; Slides.

2. Edouard Fouché, Junpei Komiyama and Klemens Böhm, "Scaling Multi-Armed Bandit Algorithms", Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. Supplementary Material: Short promotional video (2:50 min); GitHub; Data; Poster; Slides.

3. Daniel Popovic, Edouard Fouché and Klemens Böhm, "Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data", Proceedings of the 23rd European Conference on Advances in Databases and Information Systems (ADBIS ’19), September 8–11, 2019, Bled, Slovenia. Supplementary Material: GitHub.

4. Hasan Ümitcan Yilmaz, Edouard Fouché, Thomas Dengiz, Lucas Krauß, Dogan Keles and Wolf Fichtner, "Reducing Energy Time Series for Energy System Models via Self-Organizing Maps", IT-Information Technology Special Issue: Energy Status Data, 2019.

5. Avipsa Roy, Edouard Fouché, Rafael Rodriguez Morales, and Gregor Möhler, "In-Database Geospatial Analytics using Python", 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities (ARIC’19), November 5–8, 2019, Chicago, IL, USA. Supplementary Material: GitHub.


1. Edouard Fouché, Alexander Eckert and Klemens Böhm, "In-Database Analytics with ibmdbpy", Proceedings of the 30th International Conference on Scientific and Statistical Database Management (SSDBM ’18), July 9–11, 2018, Bozen-Bolzano, Italy. (Short paper). Supplementary Material: GitHub.