1 citations · 1 across the 3 of their papers we have counts for
3 papers
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction
Jonas Christian Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier +3
Motivation: Machine learning methods can be used to support scientific discovery in healthcare-related research fields. However, these methods can only be reliably used if they can…
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data
Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer
Motivation: The size of available omics datasets is steadily increasing with technological advancement in recent years. While this increase in sample size can be used to improve th…
Convolutional Motif Kernel Networks
Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer
Artificial neural networks show promising performance in detecting correlations within data that are associated with specific outcomes. However, the black-box nature of such models…