PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Pölsterl, Sebastian"

Author of the publication

copydeleteadd this publication to your clipboard
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.

, , , and . Artificial Intelligence in Medicine, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sebastian Friedl University of Stuttgart

Communication extension for cloud-based machine control of simulated robot processes, , , and . 2016 IEEE International Conference on Industrial Technology (ICIT), page 54-58. (March 2016)

Sebastian Brandhofer University of Stuttgart

Sebastian Haunss

Dr. Sebastian Rojek University of Stuttgart

Sebastian Lippold University of Stuttgart

 

Other publications of authors with the same name

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data., , , and . CoRR, (2019)An Efficient Training Algorithm for Kernel Survival Support Vector Machines., , and . CoRR, (2016)'Squeeze & excite' guided few-shot segmentation of volumetric images., , , , and . Medical Image Analysis, (2020)BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning., , , , and . CoRR, (2019)Fast Training of Support Vector Machines for Survival Analysis., , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 243-259. Springer, (2015)Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers., , , , , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 270-280. Springer, (2020)'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images., , , , and . CoRR, (2019)Likelihood-Free Inference and Generation of Molecular Graphs., and . CoRR, (2019)Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference., , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 484-492. Springer, (2019)Odefy -- From discrete to continuous models., , , and . BMC Bioinformatics, (2010)