E-LIB Suche - Ergebnisse für: Montavon, Grégoire

1

Toward Explainable Artificial Intelligence for Precision Pa..:

Klauschen, Frederick ; Dippel, Jonas ; Keyl, Philipp...
Annual Review of Pathology: Mechanisms of Disease. 19 (2024) 1 - p. 541-570 , 2024

Link: https://doi.org/10.1146/..

2

Preemptively pruning Clever-Hans strategies in deep neural ..:

Linhardt, Lorenz ; Müller, Klaus-Robert ; Montavon, Grégoire
Information Fusion. 103 (2024) - p. 102094 , 2024

Link: https://doi.org/10.1016/..

3

From Clustering to Cluster Explanations via Neural Networks:

Kauffmann, Jacob ; Esders, Malte ; Ruff, Lukas...
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 2 - p. 1926-1940 , 2024

Link: https://doi.org/10.1109/..

4

Explainable AI for time series via Virtual Inspection Layer:

Vielhaben, Johanna ; Lapuschkin, Sebastian ; Montavon, Grégoire.
Pattern Recognition. 150 (2024) - p. 110309 , 2024

Link: https://doi.org/10.1016/..

5

Disentangled Explanations of Neural Network Predictions by ..:

Chormai, Pattarawat ; Herrmann, Jan ; Müller, Klaus-Robert.
IEEE Transactions on Pattern Analysis and Machine Intelligence. , 2024

Link: https://doi.org/10.1109/..

6

Learning domain invariant representations by joint Wasserst..:

Andéol, Léo ; Kawakami, Yusei ; Wada, Yuichiro...
Neural Networks. 167 (2023) - p. 233-243 , 2023

Link: https://doi.org/10.1016/..

7

Explainability and transparency in the realm of digital hum..:

El-Hajj, Hassan ; Eberle, Oliver ; Merklein, Anika...
International Journal of Digital Humanities. 5 (2023) 2-3 - p. 299-331 , 2023

Link: https://doi.org/10.1007/..

8

Shortcomings of Top-Down Randomization-Based Sanity Checks ..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Binder, Alexander ; Weber, Leander ; Lapuschkin, Sebastian... - p. 16143-16152 , 2023

Link: https://doi.org/10.1109/..

9

Towards Fixing Clever-Hans Predictors with Counterfactual K..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),

Bender, Sidney ; Anders, Christopher J. ; Chormai, Pattarawat... - p. 2599-2607 , 2023

Link: https://doi.org/10.1109/..

10

Single-cell gene regulatory network prediction by explainab..:

Keyl, Philipp ; Bischoff, Philip ; Dernbach, Gabriel...
Nucleic Acids Research. 51 (2023) 4 - p. e20-e20 , 2023

Link: https://doi.org/10.1093/..

11

Unraveling the interior evolution of terrestrial planets th..:

Agarwal, Siddhant , 2022

Link: https://nbn-resolving.de..

12

An Ever-Expanding Humanities Knowledge Graph: The Sphaera C..:

El-Hajj, Hassan ; Zamani, Maryam ; Büttner, Jochen...
Datenbank-Spektrum. 22 (2022) 2 - p. 153-162 , 2022

Link: https://doi.org/10.1007/..

13

Higher-Order Explanations of Graph Neural Networks via Rele..:

Schnake, Thomas ; Eberle, Oliver ; Lederer, Jonas...
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (2022) 11 - p. 7581-7596 , 2022

Link: https://doi.org/10.1109/..

14

Toward Explainable Artificial Intelligence for Regression M..:

Letzgus, Simon ; Wagner, Patrick ; Lederer, Jonas...
IEEE Signal Processing Magazine. 39 (2022) 4 - p. 40-58 , 2022

Link: https://doi.org/10.1109/..

15

Patient-level proteomic network prediction by explainable a..:

Keyl, Philipp ; Bockmayr, Michael ; Heim, Daniel...
npj Precision Oncology. 6 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..