Fabian Hinder - RankMe

59 papers A* 2B 11C 3Journal 33Unranked 10

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	J	`jnl`	Conceptualizing Uncertainty. CoRR Isaac Roberts, Alexander Schulz, Sarah Schröder, Fabian Hinder, Barbara Hammer
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	J	`jnl`	Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods. CoRR Felix Störck, Fabian Hinder, Barbara Hammer
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	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
2024	C	`conf`	Semantic Properties of Cosine Based Bias Scores for Word Embeddings. ICPRAM Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Semantic Properties of cosine based bias scores for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2023	J	`jnl`	A Remark on Concept Drift for Dependent Data. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
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	B	`conf`	Feature Selection for Concept Drift Detection. ESANN Fabian Hinder, 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
2022	B	`conf`	Contrasting Explanation of Concept Drift. ESANN Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022	—	`conf`	Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) Fabian Hinder, Johannes Brinkrolf, 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`	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	J	`jnl`	The SAME score: Improved cosine based bias score for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, 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	B	`conf`	Concept Drift Segmentation via Kolmogorov-Trees. ESANN Fabian Hinder, 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	J	`jnl`	Evaluating Metrics for Bias in Word Embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, 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	—	`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	J	`jnl`	Analysis of Drifting Features. CoRR Fabian Hinder, Jonathan Jakob, Barbara Hammer
2020	J	`jnl`	Counterfactual Explanations of Concept Drift. CoRR Fabian Hinder, Barbara Hammer
2020	A*	`conf`	DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI Alexander Schulz, Fabian Hinder, Barbara Hammer
2020	—	`conf`	Explaining Concept Drift by Mean of Direction. ICANN (1) Fabian Hinder, Johannes Kummert, Barbara Hammer
2020	J	`jnl`	Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
2020	A*	`conf`	Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML Fabian Hinder, André Artelt, Barbara Hammer
2019	J	`jnl`	A probability theoretic approach to drifting data in continuous time domains. CoRR Fabian Hinder, André Artelt, Barbara Hammer
2019	J	`jnl`	DeepView: Visualizing the behavior of deep neural networks in a part of the data space. CoRR Alexander Schulz, Fabian Hinder, Barbara Hammer
2019	J	`jnl`	Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. CoRR Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer