Publications

Fabian Jaensch, Giuseppe Caire, Begüm Demir

Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments

January 12, 2024

https://doi.org/10.48550/arXiv.2402.00878

Stefan Blücher, Johanna Vielhaben, Nils Strodthoff

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

January 12, 2024

https://doi.org/10.48550/arXiv.2401.06654

Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina MC Höhne

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test

January 12, 2024

https://doi.org/10.48550/arXiv.2401.06465

Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Kirill Bykov

MANIPULATING FEATURE VISUALIZATIONS WITH GRADIENT SLINGSHOTS

January 11, 2024

https://doi.org/10.48550/arXiv.2401.06122

Xiaoxi Pan, Khalid AbdulJabbar, Jose Coelho-Lima, Anca-Ioana Grapa, Hanyun Zhang, Alvin Ho Kwan Cheung, Juvenal Baena, Takahiro Karasaki, Claire Rachel Wilson, Marco Sereno et al.

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

January 10, 2024

https://doi.org/10.1038/s43018-023-00694-w

Kim Andrea Nicoli, Christopher Anders, Lena Funcke, Karl Jansen, Shinichi Nakajima

NeuLat: a toolbox for neural samplers in lattice field theories

December 27, 2023

https://inspirehep.net/literature/2752003

Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

December 19, 2023

https://doi.org/10.1016/j.jfranklin.2023.11.038

Simon Letzgus, Klaus-Robert Müller

An explainable AI framework for robust and transparent data-driven wind turbine power curve models

December 15, 2023

https://doi.org/10.1016/j.egyai.2023.100328

Simon Schallenberg, Gabriel Dernbach, Mihnea P. Dragomir, Georg Schlachtenberger, Kyrill Boschung, Corinna Friedrich, Kai Standvoss, Lukas Ruff, Philipp Anders, Christian Grohé et al.

TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading

December 14, 2023

https://doi.org/10.1016/j.ejca.2023.113474

Philip Bischoff, Martin Reck, Tobias Overbeck, Petros Christopoulos, Achim Rittmeyer, Heike Lüders, Jens Kollmeier, Jonas Kulhavy, Marcel Kemper, Niels Reinmuth et al.

Outcome of first-line treatment with pembrolizumab according to KRAS/TP53 mutational status for non-squamous PD-L1 high (≥50%) NSCLC in the German National Network Genomic Medicine Lung Cancer (nNGM)

December 13, 2023

https://doi.org/10.1016/j.jtho.2023.12.015

Publications

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ALL PUBLICATIONS

Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test

MANIPULATING FEATURE VISUALIZATIONS WITH GRADIENT SLINGSHOTS

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

NeuLat: a toolbox for neural samplers in lattice field theories

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

An explainable AI framework for robust and transparent data-driven wind turbine power curve models

TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading

Outcome of first-line treatment with pembrolizumab according to KRAS/TP53 mutational status for non-squamous PD-L1 high (≥50%) NSCLC in the German National Network Genomic Medicine Lung Cancer (nNGM)