FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

1 code implementation • 28 Mar 2022 • Sicco Verwer, Christian Hammerschmidt

We present the efficient implementations of probabilistic deterministic finite automaton learning methods available in FlexFringe.

Anomaly Detection

Minority Class Oversampling for Tabular Data with Deep Generative Models

no code implementations • 7 May 2020 • Ramiro Camino, Christian Hammerschmidt, Radu State

In practice, machine learning experts are often confronted with imbalanced data.

imbalanced classification

Generating Multi-Categorical Samples with Generative Adversarial Networks

2 code implementations • 3 Jul 2018 • Ramiro Camino, Christian Hammerschmidt, Radu State

We propose a method to train generative adversarial networks on mutivariate feature vectors representing multiple categorical values.