Data-driven approaches to unrestricted gaze-tracking benefit from saccade filtering. - Nina Flad; Jonas C. Ditz; Albrecht Schmidt 001; Heinrich H. Bülthoff; Lewis L. Chuang (ETVIS, 2016)

Reading the mobile brain: from laboratory to real-world electroencephalography. - Christiane Glatz; Jonas C. Ditz; Thomas Kosch; Albrecht Schmidt 001; Marie Lahmer; Lewis L. Chuang (MUM, 2017)

Convolutional Motif Kernel Networks. - Jonas C. Ditz; Bernhard Reuter; Nico Pfeifer (CoRR, 2021)

COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data. - Jonas C. Ditz; Bernhard Reuter; Nico Pfeifer (Bioinform., 2023)

PlasmoFAB: a benchmark to foster machine learning for Plasmodium falciparum protein antigen candidate prediction. - Jonas C. Ditz; Jacqueline Wistuba-Hamprecht; Timo Maier; Rolf Fendel; Nico Pfeifer; Bernhard Reuter (Bioinform., 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)

Towards Inherently Interpretable Machine Learning for Healthcare - Jonas C. Ditz (2024)