Johannes Brinkrolf

32 papers B 8C 2Journal 12Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Drift Localization using Conformal Predictions. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	B	`conf`	Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Challenges, Methods, Data - a Survey of Machine Learning in Water Distribution Networks. CoRR Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	—	`conf`	Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	—	`conf`	FairGLVQ: Fairness in Partition-Based Classification. WSOM+ Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	FairGLVQ: Fairness in Partition-Based Classification. CoRR Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2023	J	`jnl`	Combining self-labeling and demand based active learning for non-stationary data streams. CoRR Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2023	—	`—`	Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity. Johannes Brinkrolf
2023	J	`jnl`	Model Based Explanations of Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Model-based explanations of concept drift. Neurocomputing Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	B	`conf`	On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	C	`conf`	On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	B	`conf`	Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2022	C	`conf`	Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022	J	`jnl`	Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022	—	`conf`	Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2022	B	`conf`	Federated learning vector quantization for dealing with drift between nodes. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	B	`conf`	Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
2022	J	`jnl`	On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2022	—	`conf`	Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
2021	—	`conf`	A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer
2021	—	`conf`	Evaluating Robustness of Counterfactual Explanations. SSCI André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
2021	—	`conf`	Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2021	B	`conf`	Federated Learning Vector Quantization. ESANN Johannes Brinkrolf, Barbara Hammer
2021	—	`conf`	Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. SSCI Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2020	B	`conf`	Sparse Metric Learning in Prototype-based Classification. ESANN Johannes Brinkrolf, Barbara Hammer
2020	J	`jnl`	Time integration and reject options for probabilistic output of pairwise LVQ. Neural Comput. Appl. Johannes Brinkrolf, Barbara Hammer
2019	J	`jnl`	Differential privacy for learning vector quantization. Neurocomputing Johannes Brinkrolf, Christina Göpfert, Barbara Hammer
2018	B	`conf`	Differential private relevance learning. ESANN Johannes Brinkrolf, Kolja Berger, Barbara Hammer
2018	J	`jnl`	Interpretable machine learning with reject option. Autom. Johannes Brinkrolf, Barbara Hammer
2017	J	`jnl`	Efficient kernelisation of discriminative dimensionality reduction. Neurocomputing Alexander Schulz, Johannes Brinkrolf, Barbara Hammer
2017	—	`conf`	Probabilistic extension and reject options for pairwise LVQ. WSOM Johannes Brinkrolf, Barbara Hammer