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Marco Heyden
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2020 – today
- 2024
- [j1]Marco Heyden
, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein change detector for high-dimensional data streams. Data Min. Knowl. Discov. 38(3): 1334-1363 (2024) - [c4]Marco Heyden
, Vadim Arzamasov
, Edouard Fouché
, Klemens Böhm:
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. KDD 2024: 1073-1084 - [c3]Marco Heyden
, Heitor Murilo Gomes
, Edouard Fouché
, Bernhard Pfahringer
, Klemens Böhm
:
Leveraging Plasticity in Incremental Decision Trees. ECML/PKDD (5) 2024: 38-54 - [i4]Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm:
Generalizability of experimental studies. CoRR abs/2406.17374 (2024) - 2023
- [i3]Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm:
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. CoRR abs/2306.07071 (2023) - [i2]Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein Change Detector for High-Dimensional Data Streams. CoRR abs/2306.12974 (2023) - 2022
- [c2]Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
:
Evolution-Based Online Automated Machine Learning. PAKDD (1) 2022: 472-484 - [c1]Marco Heyden, Jürgen Wilwer, Edouard Fouché, Steffen Thoma
, Sven Matthiesen, Thomas Gwosch:
Tandem Outlier Detectors for Decentralized Data. SSDBM 2022: 25:1-25:4 - [i1]Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm:
Scalable Online Change Detection for High-dimensional Data Streams. CoRR abs/2205.12706 (2022)
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last updated on 2024-09-10 02:10 CEST by the dblp team
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