Edouard Fouché

About Edouard Fouché

Edouard Fouché, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of data mining, artificial intelligence, bandit algorithms, stream mining, dependency estimation.

His recent articles reflect a diverse array of research interests and contributions to the field:

DEAL: Data-Efficient Active Learning for Regression Under Drift

Adaptive Bernstein change detector for high-dimensional data streams

Multi-kernel Times Series Outlier Detection

Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals

Tandem Outlier Detectors for Decentralized Data

Maximum Mean Discrepancy on Exponential Windows for Online Change Detection

Finite-time analysis of globally nonstationary multi-armed bandits

An evaluation of nilm approaches on industrial energy-consumption data

Edouard Fouché Information

University

Position

Researcher

Citations(all)

112

Citations(since 2020)

112

Cited By

28

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Edouard Fouché Skills & Research Interests

data mining

artificial intelligence

bandit algorithms

stream mining

dependency estimation

Top articles of Edouard Fouché

Title

Journal

Author(s)

Publication Date

DEAL: Data-Efficient Active Learning for Regression Under Drift

Béla H Böhnke

Edouard Fouché

Klemens Böhm

2024/4/25

Adaptive Bernstein change detector for high-dimensional data streams

Data Mining and Knowledge Discovery

Marco Heyden

Edouard Fouché

Vadim Arzamasov

Tanja Fenn

Florian Kalinke

...

2024/1/9

Multi-kernel Times Series Outlier Detection

Florian Kalinke

Edouard Fouché

Haiko Thiessen

Klemens Böhm

2023/10/8

Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals

arXiv preprint arXiv:2306.07071

Marco Heyden

Vadim Arzamasov

Edouard Fouché

Klemens Böhm

2023/6/12

Tandem Outlier Detectors for Decentralized Data

Marco Heyden

Jürgen Wilwer

Edouard Fouché

Steffen Thoma

Sven Matthiesen

...

2022/7/6

Maximum Mean Discrepancy on Exponential Windows for Online Change Detection

arXiv preprint arXiv:2205.12706

Florian Kalinke

Marco Heyden

Edouard Fouché

Klemens Böhm

2022/5/25

Finite-time analysis of globally nonstationary multi-armed bandits

arXiv preprint arXiv:2107.11419

Junpei Komiyama

Edouard Fouché

Junya Honda

2021/7/23

An evaluation of nilm approaches on industrial energy-consumption data

Florian Kalinke

Pawel Bielski

Snigdha Singh

Edouard Fouché

Klemens Böhm

2021/6/22

Efficient subspace search in data streams

Information Systems

Edouard Fouché

Florian Kalinke

Klemens Böhm

2021/3/1

Mining Text Outliers in Document Directories

Edouard Fouché

Yu Meng

Fang Guo

Honglei Zhuang

Klemens Böhm

...

2020/11/17

Estimating Dependency, Monitoring and Knowledge Discovery in High-Dimensional Data Streams

Edouard Fouché

2020

A framework for dependency estimation in heterogeneous data streams

Distributed and Parallel Databases

Edouard Fouché

Alan Mazankiewicz

Florian Kalinke

Klemens Böhm

2020

See List of Professors in Edouard Fouché University(Karlsruher Institut für Technologie)