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Johannes Brinkrolf
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2020 – today
- 2023
- [j5]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model-based explanations of concept drift. Neurocomputing 555: 126640 (2023) - [c15]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM 2023: 164-175 - [c14]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA 2023: 182-194 - [i4]Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer:
Combining self-labeling and demand based active learning for non-stationary data streams. CoRR abs/2302.04141 (2023) - [i3]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model Based Explanations of Concept Drift. CoRR abs/2303.09331 (2023) - 2022
- [c13]Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer:
Federated learning vector quantization for dealing with drift between nodes. ESANN 2022 - [c12]Fabian Hinder, Johannes Brinkrolf, Barbara Hammer:
Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) 2022: 76-87 - [c11]Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer:
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) 2022: 682-693 - [c10]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI 2022: 249-261 - [c9]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN 2022: 1-9 - [i2]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR abs/2202.07244 (2022) - [i1]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR abs/2212.01223 (2022) - 2021
- [c8]Johannes Brinkrolf, Barbara Hammer:
Federated Learning Vector Quantization. ESANN 2021 - [c7]André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer:
Evaluating Robustness of Counterfactual Explanations. SSCI 2021: 1-9 - [c6]Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer:
A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI 2021: 1-8 - [c5]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI 2021: 1-7 - [c4]Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. SSCI 2021: 1-7 - 2020
- [j4]Johannes Brinkrolf, Barbara Hammer:
Time integration and reject options for probabilistic output of pairwise LVQ. Neural Comput. Appl. 32(24): 18009-18022 (2020) - [c3]Johannes Brinkrolf, Barbara Hammer:
Sparse Metric Learning in Prototype-based Classification. ESANN 2020: 375-380
2010 – 2019
- 2019
- [j3]Johannes Brinkrolf, Christina Göpfert, Barbara Hammer:
Differential privacy for learning vector quantization. Neurocomputing 342: 125-136 (2019) - 2018
- [j2]Johannes Brinkrolf, Barbara Hammer:
Interpretable machine learning with reject option. Autom. 66(4): 283-290 (2018) - [c2]Johannes Brinkrolf, Kolja Berger, Barbara Hammer:
Differential private relevance learning. ESANN 2018 - 2017
- [j1]Alexander Schulz, Johannes Brinkrolf, Barbara Hammer:
Efficient kernelisation of discriminative dimensionality reduction. Neurocomputing 268: 34-41 (2017) - [c1]Johannes Brinkrolf, Barbara Hammer:
Probabilistic extension and reject options for pairwise LVQ. WSOM 2017: 205-212
Coauthor Index
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