Veröffentlichungen

Monographies

Algorithmen, Zufall, Unsicherheit – und Pizza! OPUS

Heinrichs, Florian (2024)

Berlin : Springer 2024. - X, 191 Seiten

ISBN:

978-3-662-69171-7 (Print) , 978-3-662-69172-4 (eBook)

Access:

https://doi.org/10.1007/978-3-662-69172-4

Detecting changes in locally stationary time series OPUS

Heinrichs, Florian (2020)

2020. - 152

Access:

https://doi.org/10.13154/294-7531

Magazine article

A note on physical dependence and mixing conditions for triangular arrays OPUS

Heinrichs, Florian (2026)

in: Statistics & probability letters. . 234 (2026). , Art.-Nr.: 110706 Seite: 1 - 6

ISSN:

0167-7152

Remark:

Corresponding author: Florian Heinrichs

Access:

https://doi.org/10.1016/j.spl.2026.110706

A note on local polynomial regression for time series in banach spaces OPUS

Heinrichs, Florian (2025)

in: Journal of time series analysis. Oxford : Wiley-Blackwell. (2025), H. Online Version of Record before inclusion in an issue. - 15 Seiten

ISSN:

1467-9892

Remark:

Corresponding author: Florian Heinrichs

Access:

https://doi.org/10.1111/jtsa.70033

Real-time EEG-based BCI for self-paced motor imagery and motor execution using functional neutral networks OPUS

Heim, Mavin ; Heinrichs, Florian ; Hueppe, Michael ; Nunez, Fran ; Szameitat, Alexander ; Reuter, Murial ; Goetz, Stefan M. ; Weber, Corinna (2025)

in: IEEE Access. New York : IEEE. (2025). - 16 Seiten

ISSN:

2169-3536

Access:

https://doi.org/10.1109/ACCESS.2025.3569932

Sequential outlier detection in nonstationary time series OPUS

Heinrichs, Florian ; Bastian, Patrick ; Dette, Holger (2025)

in: Journal of time series analysis. Oxford : Wiley-Blackwell. Early View (2025). - 19 Seiten

Access:

https://doi.org/10.1111/jtsa.70043

A portmanteau-type test for detecting serial correlation in locally stationary functional time series OPUS

Bücher, Axel ; Dette, Holger ; Heinrichs, Florian (2023)

in: Statistical Inference for Stochastic Processes. Dordrecht : Springer Nature. 26 (2023), H. 2. Seite: 255 - 278

ISSN:

1572-9311 , 1387-0874

Access:

https://doi.org/10.1007/s11203-022-09285-5

Are deviations in a gradually varying mean relevant? OPUS

Bücher, Axel ; Dette, Holger ; Heinrichs, Florian (2021)

in: The Annals of Statistics. Cleveland, Ohio : Institute of Mathematical Statistics. 49 (2021), H. 6. Seite: 3583 - 3617

ISSN:

0090-5364

Access:

https://doi.org/10.1214/21-AOS2098

A distribution free test for changes in the trend function of locally stationary processes OPUS

Heinrichs, Florian ; Dette, Holger (2021)

in: Electronic Journal of Statistics. United States : Institute of Mathematical Statistics (IMS). 15 (2021), H. 2. - 36 Seite: 3762 - 3797

ISSN:

1935-7524

Access:

https://doi.org/10.1214/21-EJS1871

Detecting deviations from second-order stationarity in locally stationary functional time series OPUS

Bücher, Axel ; Dette, Holger ; Heinrichs, Florian (2019)

in: Annals of the Institute of Statistical Mathematics. Dordrecht : Springer Nature. 72 (2019). Seite: 1055 - 1094

ISSN:

1572-9052 , 0020-3157

Access:

https://doi.org/10.1007/s10463-019-00721-7

Conference Papers

TI-FPCA : effective and interpretable dimensionality reduction with transform-invariant functional principal component analysis OPUS

Heinrichs, Florian (2026)

in: Optimization, learning algorithms and applications. Cham : Springer 2026. Seite: 142 - 157

ISBN:

978-3-032-00139-9

ISSN:

1865-0929

Remark:

5th International Conference, OL2A 2025, Sesti Levante, Italy, April 28–30, 2025, Proceedings, Part II

Access:

https://doi.org/10.1007/978-3-032-00140-5_10

OML-AD : online machine learning for anomaly detection in time series data OPUS

Wette, Sebastian ; Heinrichs, Florian (2026)

in: Optimization, learning algorithms and applications. Cham : Springer 2026. Seite: 172 - 187

ISBN:

978-3-032-00139-9

ISSN:

1865-0929

Remark:

5th International Conference, OL2A 2025, Sesti Levante, Italy, April 28–30, 2025, Proceedings, Part II

Access:

https://doi.org/10.1007/978-3-032-00140-5_12

Detecting 5G narrowband jammers with CNN, k-nearest neighbors, and support vector machines OPUS

Varotto, Matteo ; Heinrichs, Florian ; Schürg, Timo ; Tomasin, Stefano ; Valentin, Stefan (2024)

in: 2024 IEEE International Workshop on Information Forensics and Security (WIFS). New York : IEEE 2024. - 6

ISBN:

979-8-3503-6442-2

Remark:

2024 IEEE International Workshop on Information Forensics and Security (WIFS), Italy, Rome, 02-05 December 2024

Access:

https://doi.org/10.1109/WIFS61860.2024.10810672

Functional neural networks: shift invariant models for functional data with applications to EEG classification OPUS

Heinrichs, Florian ; Heim, Mavin ; Weber, Corinna (2023)

in: International Conference on Machine Learning. [Erscheinungsort nicht ermittelbar] : MLResearchPress 2023. - 16 Seite: 12866 - 12881

ISSN:

2640-3498

Remark:

40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 23-29 July 2023

Access:

https://proceedings.mlr.press/v202/heinrichs23a.html

Other publications

Preprint: A note on local linear regression for time series in banach spaces OPUS

Heinrichs, Florian (2025)

in: arXiv. - 18 Seiten

Access:

https://doi.org/10.48550/arXiv.2503.15039

Preprint: EEG-EyeTrack: a benchmark for time series and functional data analysis with open challenges and baselines OPUS

Vasconcelos Afonso, Tiago ; Heinrichs, Florian (2025)

in: arXiv. - 19 Seiten

Access:

https://doi.org/10.48550/arXiv.2504.03760

Preprint: Sequential outlier detection in non-stationary time series OPUS

Heinrichs, Florian ; Bastian, Patrick ; Dette, Holger (2025)

in: arXiv. - 28 Seiten

Access:

https://doi.org/10.48550/arXiv.2502.18038

Preprint: Consumer-grade EEG-based eye tracking OPUS

Vasconcelos Afonso, Tiago ; Heinrichs, Florian (2025)

in: arXiv. - 13 Seiten

Access:

https://doi.org/10.48550/arXiv.2503.14322

Preprint: OML-AD: online machine learning for anomaly detection in time series data OPUS

Wette, Sebastian ; Heinrichs, Florian (2024)

in: arXiv. - 14 Seiten

Access:

https://doi.org/10.48550/arXiv.2409.09742

Preprint: GT-PCA: effective and interpretable dimensionality reduction with general transform-invariant principal component analysis OPUS

Heinrichs, Florian (2024)

in: arXiv. - 15 Seiten

Access:

https://doi.org/10.48550/arXiv.2401.15623

Preprint: Monitoring machine learning models: online detection of relevant deviations OPUS

Heinrichs, Florian (2023)

in: arXiv. - 32 Seiten

Access:

https://doi.org/10.48550/arXiv.2309.15187

Veröffentlichungen

Prof. Dr. Florian Heinrichs

Monographies

Algorithmen, Zufall, Unsicherheit – und Pizza! OPUS

Detecting changes in locally stationary time series OPUS

Magazine article

A note on physical dependence and mixing conditions for triangular arrays OPUS

A note on local polynomial regression for time series in banach spaces OPUS

Real-time EEG-based BCI for self-paced motor imagery and motor execution using functional neutral networks OPUS

Sequential outlier detection in nonstationary time series OPUS

A portmanteau-type test for detecting serial correlation in locally stationary functional time series OPUS

Are deviations in a gradually varying mean relevant? OPUS

A distribution free test for changes in the trend function of locally stationary processes OPUS

Detecting deviations from second-order stationarity in locally stationary functional time series OPUS

Conference Papers

TI-FPCA : effective and interpretable dimensionality reduction with transform-invariant functional principal component analysis OPUS

OML-AD : online machine learning for anomaly detection in time series data OPUS

Detecting 5G narrowband jammers with CNN, k-nearest neighbors, and support vector machines OPUS

Functional neural networks: shift invariant models for functional data with applications to EEG classification OPUS

Other publications

Preprint: A note on local linear regression for time series in banach spaces OPUS

Preprint: EEG-EyeTrack: a benchmark for time series and functional data analysis with open challenges and baselines OPUS

Preprint: Sequential outlier detection in non-stationary time series OPUS

Preprint: Consumer-grade EEG-based eye tracking OPUS

Preprint: OML-AD: online machine learning for anomaly detection in time series data OPUS

Preprint: GT-PCA: effective and interpretable dimensionality reduction with general transform-invariant principal component analysis OPUS

Preprint: Monitoring machine learning models: online detection of relevant deviations OPUS