Adversarial Learning
Adversarial learning aims to identify weaknesses in machine learning models. The goal is to identify potential problems that cannot be […]
BMaD – Boolean Matrix Decomposition
The goal of a Boolean matrix decomposition (BMD) is to represent a given Boolean matrix as a product of two […]
Computational Sustainability
Computational sustainability is an interdisciplinary field of sustainability research, including applied science about the research in sustainable solutions and their […]
enviPath
enviPath is both, a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides […]
Multi-Label Classification
Multi-label classification targets the prediction of multiple interdependent and non-exclusive binary target variables. Transformation-based algorithms transform the data set such […]
Privacy Defense
User privacy on the internet is an important and unsolved problem. So far, no sufficient and comprehensive solution has been […]
The Smell of Fear
While the physiological response of humans to emotional events or stimuli is well-investigated for many modalities (like EEG, skin resistance, […]