Nina Schaaf

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 6

Top Topics

Decision Tree Construction

Image Classification

Spatial Pyramid

Top Venues

Publications

Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
Mixture of Decision Trees for Interpretable Machine Learning. CoRR (2022)
Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
Mixture of Decision Trees for Interpretable Machine Learning. ICMLA (2022)
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
Towards Measuring Bias in Image Classification. ICANN (3) (2021)
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
Towards Measuring Bias in Image Classification. CoRR (2021)
Nina Schaaf, Marco F. Huber
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. CoRR (2019)
Nina Schaaf, Marco F. Huber, Johannes Maucher
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. ICMLA (2019)