Valerie Vaquet

According to our database, Valerie Vaquet authored at least 32 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Feature-based analyses of concept drift.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

Neurocomputing, 2024

One or two things we know about concept drift - a survey on monitoring in evolving environments. Part B: locating and explaining concept drift.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

Frontiers Artif. Intell., 2024

One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

Frontiers Artif. Intell., 2024

FairGLVQ: Fairness in Partition-Based Classification.

Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer

CoRR, 2024

Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations.

Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2024

A Remark on Concept Drift for Dependent Data.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks.

Valerie Vaquet, Fabian Hinder, Barbara Hammer

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks.

Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Contrasting Explanations for Understanding and Regularizing Model Adaptations.

André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer

Neural Process. Lett., October, 2023

Model-based explanations of concept drift.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

Neurocomputing, October, 2023

Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods.

Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer

CoRR, 2023

One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

CoRR, 2023

Combining self-labeling and demand based active learning for non-stationary data streams.

Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer

CoRR, 2023

A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids.

Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

On the Change of Decision Boundary and Loss in Learning with Concept Drift.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

On the Hardness and Necessity of Supervised Concept Drift Detection.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts.

Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Investigating intensity and transversal drift in hyperspectral imaging data.

Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer

Neurocomputing, 2022

On the Change of Decision Boundaries and Loss in Learning with Concept Drift.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

CoRR, 2022

Precise Change Point Detection using Spectral Drift Detection.

Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer

CoRR, 2022

Localization of Concept Drift: Identifying the Drifting Datapoints.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2022

Suitability of Different Metric Choices for Concept Drift Detection.

Fabian Hinder, Valerie Vaquet, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks.

Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer.

Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Contrasting Explanation of Concept Drift.

Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Federated learning vector quantization for dealing with drift between nodes.

Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings.

Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Fast Non-Parametric Conditional Density Estimation using Moment Trees.

Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Shape-Based Method for Concept Drift Detection and Signal Denoising.

Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Evaluating Robustness of Counterfactual Explanations.

André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Contrastive Explanations for Explaining Model Adaptations.

André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2021

2020

Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data.

Valerie Vaquet, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020