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Valerie Vaquet
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2020 – today
- 2024
- [j5]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers Artif. Intell. 7 (2024) - [j4]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Feature-based analyses of concept drift. Neurocomputing 600: 127968 (2024) - [c21]Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) 2024: 155-170 - [c20]Valerie Vaquet, Fabian Hinder, Barbara Hammer:
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. ICPRAM 2024: 296-303 - [c19]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
A Remark on Concept Drift for Dependent Data. IDA (1) 2024: 77-89 - [c18]Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer:
Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. IJCNN 2024: 1-8 - [i10]Valerie Vaquet, Fabian Hinder, Barbara Hammer:
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR abs/2401.01733 (2024) - 2023
- [j3]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model-based explanations of concept drift. Neurocomputing 555: 126640 (2023) - [j2]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55(5): 5273-5297 (2023) - [c17]Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN 2023 - [c16]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM 2023: 164-175 - [c15]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 - [c14]Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock:
A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE 2023: 1-5 - [i9]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) - [i8]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model Based Explanations of Concept Drift. CoRR abs/2303.09331 (2023) - [i7]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR abs/2310.15826 (2023) - [i6]Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer:
Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR abs/2310.15830 (2023) - [i5]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
A Remark on Concept Drift for Dependent Data. CoRR abs/2312.10212 (2023) - 2022
- [j1]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505: 68-79 (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, André Artelt, Valerie Vaquet, Barbara Hammer:
Contrasting Explanation of Concept Drift. ESANN 2022 - [c11]Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert:
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN 2022 - [c10]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 - [c9]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. IDA 2022: 157-170 - [c8]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN 2022: 1-9 - [i4]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. CoRR abs/2202.09486 (2022) - [i3]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Precise Change Point Detection using Spectral Drift Detection. CoRR abs/2205.06507 (2022) - [i2]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
- [c7]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN 2021 - [c6]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) 2021: 101-112 - [c5]André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer:
Evaluating Robustness of Counterfactual Explanations. SSCI 2021: 1-9 - [c4]Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer:
A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI 2021: 1-8 - [c3]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI 2021: 1-7 - [c2]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 - [i1]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. CoRR abs/2104.02459 (2021) - 2020
- [c1]Valerie Vaquet, Barbara Hammer:
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. ICANN (2) 2020: 850-862
Coauthor Index
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last updated on 2024-09-30 21:54 CEST by the dblp team
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