Valerie Vaquet

52 papers B 13C 2Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Drift Localization using Conformal Predictions. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2025	J	`jnl`	Causal Explanation of Concept Drift - A Truly Actionable Approach. CoRR David Komnick, Kathrin Lammers, Barbara Hammer, Valerie Vaquet, Fabian Hinder
2025	—	`conf`	Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. ICANN (1) Kathrin Lammers, Valerie Vaquet, Barbara Hammer
2025	J	`jnl`	Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. CoRR Kathrin Lammers, Valerie Vaquet, Barbara Hammer
2025	B	`conf`	Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing. IJCNN Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rückert, Barbara Hammer
2025	J	`jnl`	Large Language Models Do Not Simulate Human Psychology. CoRR Sarah Schröder, Thekla Morgenroth, Ulrike Kuhl, Valerie Vaquet, Benjamin Paaßen
2024	—	`conf`	A Remark on Concept Drift for Dependent Data. IDA (1) Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	Adversarial Attacks for Drift Detection. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	An Algorithm-Centered Approach To Model Streaming Data. CoRR Fabian Hinder, Valerie Vaquet, David Komnick, Barbara Hammer
2024	B	`conf`	Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Challenges, Methods, Data - a Survey of Machine Learning in Water Distribution Networks. CoRR Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	—	`conf`	Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	—	`conf`	FairGLVQ: Fairness in Partition-Based Classification. WSOM+ Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	FairGLVQ: Fairness in Partition-Based Classification. CoRR Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	Feature-based analyses of concept drift. Neurocomputing Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	C	`conf`	Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. ICPRAM Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	—	`conf`	LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data. ISGT EUROPE Lars Quakernack, Thomas Engelmann, Jens Haubrock, Valerie Vaquet
2024	B	`conf`	Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. IJCNN Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer
2024	B	`conf`	On the Fine Structure of Drifting Features. ESANN Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers Artif. Intell. Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	One or two things we know about concept drift - a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers Artif. Intell. Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	B	`conf`	Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2023	J	`jnl`	A Remark on Concept Drift for Dependent Data. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2023	—	`conf`	A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock
2023	J	`jnl`	Combining self-labeling and demand based active learning for non-stationary data streams. CoRR Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2023	J	`jnl`	Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer
2023	J	`jnl`	Model Based Explanations of Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Model-based explanations of concept drift. Neurocomputing Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	B	`conf`	On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	C	`conf`	On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2023	B	`conf`	Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2022	B	`conf`	Contrasting Explanation of Concept Drift. ESANN Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022	B	`conf`	Federated learning vector quantization for dealing with drift between nodes. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	B	`conf`	From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
2022	J	`jnl`	Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	B	`conf`	Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
2022	J	`jnl`	On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2022	J	`jnl`	Precise Change Point Detection using Spectral Drift Detection. CoRR Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022	B	`conf`	Suitability of Different Metric Choices for Concept Drift Detection. IDA Fabian Hinder, Valerie Vaquet, Barbara Hammer
2022	J	`jnl`	Suitability of Different Metric Choices for Concept Drift Detection. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2022	—	`conf`	Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
2021	—	`conf`	A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer
2021	—	`conf`	Contrastive Explanations for Explaining Model Adaptations. IWANN (1) André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021	J	`jnl`	Contrastive Explanations for Explaining Model Adaptations. CoRR André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021	—	`conf`	Evaluating Robustness of Counterfactual Explanations. SSCI André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
2021	—	`conf`	Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2021	B	`conf`	Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2021	—	`conf`	Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. SSCI Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2020	—	`conf`	Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. ICANN (2) Valerie Vaquet, Barbara Hammer