Fabian Hinder

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 43

Top Topics

Feature Relevance

Conditional Density Estimation

Water Distribution Networks

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)
Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
Semantic Properties of Cosine Based Bias Scores for Word Embeddings. ICPRAM (2024)
Valerie Vaquet, Fabian Hinder, Barbara Hammer
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR (2024)
Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
Semantic Properties of cosine based bias scores for word embeddings. 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)
Fabian Hinder, Barbara Hammer
Feature Selection for Concept Drift Detection. 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)
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, Johannes Brinkrolf, Barbara Hammer
Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) (2022)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN (2022)
Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
The SAME score: Improved cosine based bias score for word embeddings. CoRR (2022)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Contrasting Explanation of Concept Drift. ESANN (2022)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Suitability of Different Metric Choices for Concept Drift Detection. CoRR (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)
Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
Evaluating Metrics for Bias in Word Embeddings. CoRR (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)
Fabian Hinder, Barbara Hammer
Concept Drift Segmentation via Kolmogorov-Trees. ESANN (2021)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrastive Explanations for Explaining Model Adaptations. CoRR (2021)
Fabian Hinder, Jonathan Jakob, Barbara Hammer
Analysis of Drifting Features. CoRR (2020)
Alexander Schulz, Fabian Hinder, Barbara Hammer
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI (2020)
Fabian Hinder, Barbara Hammer
Counterfactual Explanations of Concept Drift. CoRR (2020)
Fabian Hinder, André Artelt, Barbara Hammer
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML (2020)
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing 416 (2020)
Fabian Hinder, Johannes Kummert, Barbara Hammer
Explaining Concept Drift by Mean of Direction. ICANN (1) (2020)
Fabian Hinder, André Artelt, Barbara Hammer
A probability theoretic approach to drifting data in continuous time domains. CoRR (2019)
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. CoRR (2019)
Alexander Schulz, Fabian Hinder, Barbara Hammer
DeepView: Visualizing the behavior of deep neural networks in a part of the data space. CoRR (2019)