Sandra Gilhuber

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Selective Sampling

Labeling Effort

Active Learning

Top Venues

Publications

Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR (2024)
Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. CoRR (2023)
Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. ECML/PKDD (2) (2023)
Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning. CoRR (2023)
Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. ECML/PKDD (1) (2023)
Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl
VERIPS: Verified Pseudo-label Selection for Deep Active Learning. ICDM (2022)
Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. IAL@PKDD/ECML (2022)