Nina Schaaf

According to our database, Nina Schaaf authored at least 4 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Mixture of Decision Trees for Interpretable Machine Learning.

Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Towards Measuring Bias in Image Classification.

Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2019

Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.

Nina Schaaf, Marco F. Huber

CoRR, 2019

Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.

Nina Schaaf, Marco F. Huber, Johannes Maucher

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019