Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. - Valerie Vaquet; Barbara Hammer (ICANN (2), 2020)

Contrastive Explanations for Explaining Model Adaptations. - André Artelt; Fabian Hinder; Valerie Vaquet; Robert Feldhans; Barbara Hammer (IWANN (1), 2021)

Evaluating Robustness of Counterfactual Explanations. - André Artelt; Valerie Vaquet; Riza Velioglu; Fabian Hinder; Johannes Brinkrolf; Malte Schilling; Barbara Hammer (SSCI, 2021)

A Shape-Based Method for Concept Drift Detection and Signal Denoising. - Fabian Hinder; Johannes Brinkrolf; Valerie Vaquet; Barbara Hammer (SSCI, 2021)

Fast Non-Parametric Conditional Density Estimation using Moment Trees. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (SSCI, 2021)

Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. - Valerie Vaquet; Fabian Hinder; Jonas Vaquet; Johannes Brinkrolf; Barbara Hammer (SSCI, 2021)

Federated learning vector quantization for dealing with drift between nodes. - Johannes Brinkrolf; Valerie Vaquet; Fabian Hinder; Patrick Menz; Udo Seiffert; Barbara Hammer (ESANN, 2022)

Contrasting Explanation of Concept Drift. - Fabian Hinder; André Artelt; Valerie Vaquet; Barbara Hammer (ESANN, 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 (ESANN, 2022)

Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. - Valerie Vaquet; André Artelt; Johannes Brinkrolf; Barbara Hammer (ICANN (2), 2022)

Suitability of Different Metric Choices for Concept Drift Detection. - Fabian Hinder; Valerie Vaquet; Barbara Hammer (IDA, 2022)

Localization of Concept Drift: Identifying the Drifting Datapoints. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; André Artelt; Barbara Hammer (IJCNN, 2022)

Precise Change Point Detection using Spectral Drift Detection. - Fabian Hinder; André Artelt; Valerie Vaquet; Barbara Hammer (CoRR, 2022)

On the Change of Decision Boundaries and Loss in Learning with Concept Drift. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (CoRR, 2022)

Investigating intensity and transversal drift in hyperspectral imaging data. - Valerie Vaquet; Patrick Menz; Udo Seiffert; Barbara Hammer (Neurocomputing, 2022)

Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. - Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (ESANN, 2023)

On the Hardness and Necessity of Supervised Concept Drift Detection. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (ICPRAM, 2023)

On the Change of Decision Boundary and Loss in Learning with Concept Drift. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (IDA, 2023)

A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. - Lars Quakernack; Valerie Vaquet; Barbara Hammer; Jens Haubrock (ISGT EUROPE, 2023)

Combining self-labeling and demand based active learning for non-stationary data streams. - Valerie Vaquet; Fabian Hinder; Johannes Brinkrolf; 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)

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)

Model-based explanations of concept drift. - Fabian Hinder; Valerie Vaquet; Johannes Brinkrolf; Barbara Hammer (Neurocomputing, 2023)

Contrasting Explanations for Understanding and Regularizing Model Adaptations. - André Artelt; Fabian Hinder; Valerie Vaquet; Robert Feldhans; Barbara Hammer (Neural Process. Lett., 2023)

Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. - Johannes Brinkrolf; Valerie Vaquet; Fabian Hinder; Barbara Hammer (ESANN, 2024)

On the Fine Structure of Drifting Features. - Fabian Hinder; Valerie Vaquet; Barbara Hammer (ESANN, 2024)

Self-Supervised Learning from Incrementally Drifting Data Streams. - Valerie Vaquet; Jonas Vaquet; Fabian Hinder; Kleanthis Malialis; Christos G. Panayiotou; Marios M. Polycarpou; Barbara Hammer (ESANN, 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 (ICANN (9), 2024)

Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. - Valerie Vaquet; Fabian Hinder; Barbara Hammer (ICPRAM, 2024)

A Remark on Concept Drift for Dependent Data. - Fabian Hinder; Valerie Vaquet; Barbara Hammer (IDA (1), 2024)

Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. - Valerie Vaquet; Fabian Hinder; Jonas Vaquet; Kathrin Lammers; Lars Quakernack; Barbara Hammer (IJCNN, 2024)

LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data. - Lars Quakernack; Thomas Engelmann; Jens Haubrock; Valerie Vaquet (ISGT EUROPE, 2024)

FairGLVQ: Fairness in Partition-Based Classification. - Felix Störck; Fabian Hinder; Johannes Brinkrolf; Benjamin Paassen; Valerie Vaquet; Barbara Hammer (WSOM+, 2024)

Adversarial Attacks for Drift Detection. - Fabian Hinder; Valerie Vaquet; Barbara Hammer (CoRR, 2024)

An Algorithm-Centered Approach To Model Streaming Data. - Fabian Hinder; Valerie Vaquet; David Komnick; Barbara Hammer (CoRR, 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)

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)

Feature-based analyses of concept drift. - Fabian Hinder; Valerie Vaquet; Barbara Hammer (Neurocomputing, 2024)

Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. - Kathrin Lammers; Valerie Vaquet; Barbara Hammer (CoRR, 2025)

Causal Explanation of Concept Drift - A Truly Actionable Approach. - David Komnick; Kathrin Lammers; Barbara Hammer; Valerie Vaquet; Fabian Hinder (CoRR, 2025)

Large Language Models Do Not Simulate Human Psychology. - Sarah Schröder; Thekla Morgenroth; Ulrike Kuhl; Valerie Vaquet; Benjamin Paaßen (CoRR, 2025)