i6092467

diff-bias-proxies

Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers

GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

i6092467

Config files for my GitHub profile.

informatikgrundlagen-intro2ds

NNGC-SLIMMBA

Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry

pediatric-appendicitis-ml

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

semi-supervised-multiview-cbm

Concept bottleneck models for multiview data with incomplete concept sets

t-cells-response-sars-cov-2

Code and data for the ML analysis of humoral and cellular responses to SARS-CoV-2

vadesc

A probabilistic model to cluster survival data in a variational deep clustering setting

rmarcinkevics.github.io

i6092467/GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

i6092467/vadesc

A probabilistic model to cluster survival data in a variational deep clustering setting

i6092467/NNGC-SLIMMBA

Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry

i6092467/pediatric-appendicitis-ml

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

i6092467/semi-supervised-multiview-cbm

Concept bottleneck models for multiview data with incomplete concept sets

i6092467/diff-bias-proxies

Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers

i6092467/t-cells-response-sars-cov-2

Code and data for the ML analysis of humoral and cellular responses to SARS-CoV-2

i6092467/i6092467

Config files for my GitHub profile.

i6092467/informatikgrundlagen-intro2ds