8 citations · 9 across the 3 of their papers we have counts for
3 papers
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data
Jose Cribeiro-Ramallo, Vadim Arzamasov, Federico Matteucci +2
Outlier detection in high-dimensional tabular data is an important task in data mining, essential for many downstream tasks and applications. Existing unsupervised outlier detectio…
A graph database for feature characterization of dislocation networks
Balduin Katzer, Daniel Betsche, Klemens Böhm +2
Three-dimensional dislocation networks control the mechanical properties such as strain hardening of crystals. Due to the complexity of dislocation networks and their temporal evol…
Pedagogical Rule Extraction to Learn Interpretable Models - an Empirical Study
Vadim Arzamasov, Benjamin Jochum, Klemens Böhm
Machine-learning models are ubiquitous. In some domains, for instance, in medicine, the models' predictions must be interpretable. Decision trees, classification rules, and subgrou…