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Works (9)

Increasing Explainability in Time Series Classification by Functional Decomposition

2024 | Book chapter
Contributors: Thies de Graaff; Michael Wild; Tino Werner; Eike Möhlmann; Stefan Seibt; Benjamin Ebrecht
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Global quantitative robustness of regression feed-forward neural networks

Neural Computing and Applications
2024-11 | Journal article
Contributors: Tino Werner
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Trimming stability selection increases variable selection robustness

Machine Learning
2023-12 | Journal article
Contributors: Tino Werner
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Loss-guided stability selection

Advances in Data Analysis and Classification
2023-12-15 | Journal article
Contributors: Tino Werner
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Correction: Jurj et al. Towards Safe and Sustainable Autonomous Vehicles Using Environmentally-Friendly Criticality Metrics. Sustainability 2022, 14, 6988

Sustainability
2023-05-10 | Journal article
Contributors: Sorin Liviu Jurj; Tino Werner; Dominik Grundt; Willem Hagemann; Eike Möhlmann
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Elicitability of Instance and Object Ranking

Decision Analysis
2022-06 | Journal article
Contributors: Tino Werner
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Towards Safe and Sustainable Autonomous Vehicles Using Environmentally-Friendly Criticality Metrics

Sustainability
2022-06-07 | Journal article
Contributors: Sorin Jurj; Tino Werner; Dominik Grundt; Willem Hagemann; Eike Möhlmann
Source: check_circle
Crossref

A review on instance ranking problems in statistical learning

Machine Learning
2022-02 | Journal article
Contributors: Tino Werner
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Asymptotic linear expansion of regularized M-estimators

Annals of the Institute of Statistical Mathematics
2022-02 | Journal article
Part of ISSN: 0020-3157
Part of ISSN: 1572-9052
Source: Self-asserted source
Tino Werner

Peer review (1 review for 1 publication/grant)

Review activity for Neural computing & applications. (1)