Jonas C. Ditz

According to our database, Jonas C. Ditz authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Towards Inherently Interpretable Machine Learning for Healthcare

Jonas C. Ditz

PhD thesis, 2024

2023

PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction.

Jonas Christian Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier, Rolf Fendel, Nico Pfeifer, Bernhard Reuter

CoRR, 2023

PlasmoFAB: a benchmark to foster machine learning for <i>Plasmodium falciparum</i> protein antigen candidate prediction.

Jonas C. Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier, Rolf Fendel, Nico Pfeifer, Bernhard Reuter

Bioinform., 2023

COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data.

Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer

Bioinform., 2023

2021

Convolutional Motif Kernel Networks.

Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer

CoRR, 2021

2017

Reading the mobile brain: from laboratory to real-world electroencephalography.

Christiane Glatz, Jonas C. Ditz, Thomas Kosch, Albrecht Schmidt, Marie Lahmer, Lewis L. Chuang

Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017

2016

Data-driven approaches to unrestricted gaze-tracking benefit from saccade filtering.

Nina Flad, Jonas C. Ditz, Albrecht Schmidt, Heinrich H. Bülthoff, Lewis L. Chuang

Proceedings of the 2016 IEEE Second Workshop on Eye Tracking and Visualization, 2016