No current affiliations available for this person. The person is no longer active at the university.

Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Huesmann K, Klemm S, Linsen L, Risse B (2020) Type of Publication: Other scientific publication
A video processing pipeline for intraoperative analysis of cerebral blood flow Klemm, S; Rexeisen, R; Stummer, W; Jiang, X; Holling, M (2020) In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(4) Type of Publication: Research article (journal)
Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, Linsen L (2019) In: Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko (eds.), Machine Learning Methods in Visualisation for Big Data. Eurographics Association. Type of Publication: Research article in edited proceedings (conference)
Deploying Deep Learning into practice: A case study on fundus segmentation Klemm S, Ortkemper RD, Jiang X (2019) In: (eds.), . (no publisher available). Type of Publication: Research article in edited proceedings (conference)
Barista - a graphical tool for designing and training deep neural networks Klemm S, Scherzinger A, Drees D, Jiang X (2018) Type of Publication: Other scientific publication