Valerie Vaquet

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

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

[BibT_eX]

[DOI]

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

2023

Contrasting Explanations for Understanding and Regularizing Model Adaptations.

[BibT_eX]

[DOI]

Neural Process. Lett., October, 2023

Model-based explanations of concept drift.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

On the Hardness and Necessity of Supervised Concept Drift Detection.

[BibT_eX]

[DOI]

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

2022

Investigating intensity and transversal drift in hyperspectral imaging data.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Precise Change Point Detection using Spectral Drift Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Localization of Concept Drift: Identifying the Drifting Datapoints.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Suitability of Different Metric Choices for Concept Drift Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Contrasting Explanation of Concept Drift.

[BibT_eX]

[DOI]

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

Federated learning vector quantization for dealing with drift between nodes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Fast Non-Parametric Conditional Density Estimation using Moment Trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Evaluating Robustness of Counterfactual Explanations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Contrastive Explanations for Explaining Model Adaptations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

2020

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

[BibT_eX]

[DOI]