E-LIB Suche - Ergebnisse für: Jakob, Jonathan

1

Incremental Learning in Regression Contexts:

Jakob, Jonathan , 2024

Link: https://nbn-resolving.or..

2

Interpretable SAM-kNN Regressor for Incremental Learning on..:

Jakob, Jonathan ; Artelt, André ; Hasenjäger, Martina.
Applied Artificial Intelligence. 37 (2023) 1 - p. , 2023

Link: https://doi.org/10.1080/..

3

Incremental Human Gait Prediction without Catastrophic Forg..:

, In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),

Jakob, Jonathan ; Hasenjager, Martina ; Hammer, Barbara - p. 1004-1011 , 2023

Link: https://doi.org/10.1109/..

4

SAM-kNN Regressor for Online Learning in Water Distribution..:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,

Jakob, Jonathan ; Artelt, André ; Hasenjäger, Martina. - p. 752-762 , 2022

Link: https://doi.org/10.1007/..

5

Reject Options for Incremental Regression Scenarios:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2022,

Jakob, Jonathan ; Hasenjäger, Martina ; Hammer, Barbara - p. 248-259 , 2022

Link: https://doi.org/10.1007/..

6

Feature relevance determination for ordinal regression in t..:

Pfannschmidt, Lukas ; Jakob, Jonathan ; Hinder, Fabian...
Neurocomputing. 416 (2020) - p. 266-279 , 2020

Link: https://doi.org/10.1016/..

7

Discrete tangent and adjoint sensitivity analysis for disco..:

Hüser, Jonathan Jakob , 2022

Link: https://nbn-resolving.de..

8

Reconfigurable DNA Nanostructures:

List, Jonathan Jakob , 2018

Link: http://nbn-resolving.de/..

9

Unobserved heterogeneity in productivity analysis of panel ..

applications to meat chain firms and global growth in agric...

Holtkamp, Jonathan Jakob , 2015

Link: http://nbn-resolving.de/..

10

Interpretable SAM-kNN Regressor for Incremental Learning on..:

Jakob, Jonathan ; Artelt, André ; Hasenjäger, Martina.
info:eu-repo/grantAgreement/EC/H2020/951424/. , 2023

Link: https://zenodo.org/recor..

11

SAM-kNN Regressor for Online Learning in Water Distribution..:

Jakob, Jonathan ; Artelt, André ; Hasenjäger, Martina.
doi:10.48550/arXiv.2204.01436. , 2022

Link: https://zenodo.org/recor..

12

SAM-kNN Regressor for Online Learning in Water Distribution..:

Jakob, Jonathan ; Artelt, André ; Hasenjäger, Martina.
http://arxiv.org/abs/2204.01436. , 2022

Link: http://arxiv.org/abs/220..

13

Analysis of Drifting Features:

Hinder, Fabian ; Jakob, Jonathan ; Hammer, Barbara
http://arxiv.org/abs/2012.00499. , 2020

Link: http://arxiv.org/abs/201..

14

Feature Relevance Determination for Ordinal Regression in t..:

Pfannschmidt, Lukas ; Jakob, Jonathan ; Hinder, Fabian...
https://research.rug.nl/en/publications/2c4aed46-2645-417e-a07f-97bfc304d682. , 2020

Link: https://hdl.handle.net/1..

15

Feature Relevance Determination for Ordinal Regression in t..:

Pfannschmidt, Lukas ; Jakob, Jonathan ; Hinder, Fabian...
http://arxiv.org/abs/1912.04832. , 2019

Link: http://arxiv.org/abs/191..