1 citations · 1 across the 2 of their papers we have counts for
3 papers
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures
Dominik Gond, Jan-Tobias Sohns, Heike Leitte +2
Predicting the thermodynamic properties of mixtures is crucial for process design and optimization in chemical engineering. Machine learning (ML) methods are gaining increasing att…
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data
Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek +2
Embeddings of high-dimensional data are widely used to explore data, to verify analysis results, and to communicate information. Their explanation, in particular with respect to th…
Visual Probing and Correction of Object Recognition Models with Interactive user feedback
Viny Saajan Victor, Pramod Vadiraja, Jan-Tobias Sohns +1
With the advent of state-of-the-art machine learning and deep learning technologies, several industries are moving towards the field. Applications of such technologies are highly d…