Edouard Fouché

Orcid: 0000-0003-0157-7648

According to our database1, Edouard Fouché authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Adaptive Bernstein change detector for high-dimensional data streams.
Data Min. Knowl. Discov., May, 2024

DEAL: Data-Efficient Active Learning for Regression Under Drift.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals.
CoRR, 2023

Multi-kernel Times Series Outlier Detection.
Proceedings of the Discovery Science - 26th International Conference, 2023

Scalable Online Change Detection for High-dimensional Data Streams.
CoRR, 2022

Tandem Outlier Detectors for Decentralized Data.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Efficient subspace search in data streams.
Inf. Syst., 2021

A framework for dependency estimation in heterogeneous data streams.
Distributed Parallel Databases, 2021

Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits.
CoRR, 2021

An Evaluation of NILM Approaches on Industrial Energy-Consumption Data.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams.
PhD thesis, 2020

Mining Text Outliers in Document Directories.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Reducing energy time series for energy system models via self-organizing maps.
it Inf. Technol., 2019

Monte Carlo Dependency Estimation.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Scaling Multi-Armed Bandit Algorithms.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

In-Database Geospatial Analytics using Python.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, 2019

Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data.
Proceedings of the Advances in Databases and Information Systems, 2019

In-database analytics with ibmdbpy.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018