Valerie Vaquet

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Top Venues

Publications

Fabian Hinder, Valerie Vaquet, Barbara Hammer
A Remark on Concept Drift for Dependent Data. IDA (1) (2024)
Valerie Vaquet, Fabian Hinder, Barbara Hammer
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. ICPRAM (2024)
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)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Feature-based analyses of concept drift. Neurocomputing 600 (2024)
Valerie Vaquet, Fabian Hinder, Barbara Hammer
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR (2024)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
A Remark on Concept Drift for Dependent Data. CoRR (2023)
Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
Combining self-labeling and demand based active learning for non-stationary data streams. CoRR (2023)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR (2023)
Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN (2023)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55 (5) (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Model-based explanations of concept drift. Neurocomputing 555 (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM (2023)
Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock
A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE (2023)
Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer
Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Model Based Explanations of Concept Drift. CoRR (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA (2023)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Precise Change Point Detection using Spectral Drift Detection. CoRR (2022)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN (2022)
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)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Contrasting Explanation of Concept Drift. ESANN (2022)
Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505 (2022)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Suitability of Different Metric Choices for Concept Drift Detection. CoRR (2022)
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)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR (2022)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Suitability of Different Metric Choices for Concept Drift Detection. IDA (2022)
Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
Federated learning vector quantization for dealing with drift between nodes. ESANN (2022)
Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN (2021)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI (2021)
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)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) (2021)
André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
Evaluating Robustness of Counterfactual Explanations. SSCI (2021)
Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer
A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI (2021)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrastive Explanations for Explaining Model Adaptations. CoRR (2021)
Valerie Vaquet, Barbara Hammer
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. ICANN (2) (2020)