News – Page 4 – Jörg Simon Wicker

BMaD – Boolean Matrix Decomposition

The goal of a Boolean matrix decomposition (BMD) is to represent a given Boolean matrix as a product of two […]

Large Classifier Systems in Bio- and Cheminformatics

Multi-label Classification Using Boolean Matrix Decomposition

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 […]

Collaborative development of predictive toxicology applications

Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach

SINDBAD and SiQL: Overview, Applications and Future Developments

An Inductive Database and Query Language in the Relational Model

Machine Learning and Data Mining Approaches to Biodegradation Pathway Prediction

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model

SINDBAD SAILS: A Service Architecture for Inductive Learning Schemes

Computational Sustainability

Computational sustainability is an interdisciplinary field of sustainability research, including applied science about the research in sustainable solutions and their […]