Daniel Ebi, Edouard Fouché, Marco Heyden, Klemens Böhm. "MicroPPO: Safe Power Flow Management in Decentralized Micro-Grids with Proximal Policy Optimization", Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), October 6-10, 2024, San Diego, CA, USA. Supplementary Material: Github.
Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm. "Leveraging Plasticity in Incremental Decision Trees", Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML/PKDD 2024, September 9-13, 2024, Vilnius, Lithuania. Supplementary Material: GitHub; Slides; Poster (TODO).
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm. "Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals", Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), August 25-29, 2024, Barcelona, Spain. Supplementary Material: Teaser; GitHub; Medium; Slides; Poster (TODO).
Bela Böhnke, Edouard Fouché, Klemens Böhm. "DEAL: Data-Efficient Active Learning for regression under drift", Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'24), May 7-10, 2024, Taipei, Taiwan. Supplementary Material: GitHub; Slides.
Junpei Komiyama, Edouard Fouché, Junya Honda. "Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits", Journal of Machine Learning Research. Supplementary Material: GitHub; Slides; Talk; Previous pre-print (2021).
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm. "Adaptive Bernstein change detector for high-dimensional data streams", Data Mining and Knowledge Discovery, 2024. Supplementary Material: GitHub.
Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm. "Multi-kernel Times Series Outlier Detection", Proceedings of the 26th International Conference Discovery Science (DS'23), October 9-11, 2023, Porto, Portugal. Supplementary Material: GitHub.
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm. "Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals", arXiv:2306.07071 (2023). Supplementary Material: GitHub;.
Marco Heyden, Jürgen Wilwer, Edouard Fouché, Steffen Thoma, Sven Matthiesen, Thomas Gwosch. "Tandem Outlier Detectors for Decentralized Data", Proceedings of the 34st International Conference on Scientific and Statistical Database Management (SSDBM'22), July 6–8, 2022, Copenhagen, Denmark. Supplementary Material: GitHub; Poster.
Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm. "Maximum Mean Discrepancy on Exponential Windows for Online Change Detection" (previous title: Scalable Online Change Detection for High-dimensional Data Streams), arXiv:2205.12706 (2022). Supplementary Material: GitHub.
Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm. "An Evaluation of NILM Approaches on Industrial Energy-Consumption Data", Proceedings of the 12th ACM International Conference on Future Energy Systems (e-Energy'21), 28 June - 2 July, 2021, Virtual Event, Torino, Italy. (Short paper). Supplementary Material: GitHub.
Edouard Fouché, Florian Kalinke, Klemens Böhm. "Efficient Subspace Search in Data Streams", Information Systems 97 (2021), Elsevier. Supplementary Material: GitHub; Poster; Preprint.
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm and Jiawei Han. "Mining Text Outliers in Document Directories", Proceedings of the 20th IEEE International Conference on Data Mining (ICDM'20), November 17-20, 2020, Virtual Event, Sorrento, Italy. Supplementary Material: GitHub; Slides; Talk.
Edouard Fouché, "Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams", PhD Thesis, Karlsruhe Institute of Technology, Germany, 2020. Supplementary Material: Slides; GitHub.
Edouard Fouché, Alan Mazankiewicz, Florian Kalinke and Klemens Böhm, "A Framework for Dependency Estimation in Heterogeneous Data Streams", Distributed and Parallel Databases, 2020. Supplementary Material: GitHub.
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.
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: Teaser ; GitHub; Data; Poster; Slides.
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.
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.
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.
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.
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