E-LIB Suche - Ergebnisse für: Krause, Anna L

1

Generative Inpainting for Shapley-Value-Based Anomaly Expla..:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,

Tritscher, Julian ; Lissmann, Philip ; Wolf, Maximilian... - p. 230-243 , 2024

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

2

DNA-binding protein-A promotes kidney ischemia/reperfusion ..:

Reichardt, Charlotte ; Brandt, Sabine ; Bernhardt, Anja...
Kidney International. 106 (2024) 2 - p. 241-257 , 2024

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

3

Comparative Analysis of Acute Kidney Injury Models and Rela..:

Brandt, Sabine ; Bernhardt, Anja ; Häberer, Saskia...
Cells. 13 (2024) 5 - p. 367 , 2024

Link: https://doi.org/10.3390/..

4

Swarming Detection in Smart Beehives Using Auto Encoders fo..:

, In: 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP),

Janetzky, Pascal ; Schaller, Melanie ; Krause, Anna. - p. 1-5 , 2023

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

5

DynaBench: A Benchmark Dataset for Learning Dynamical Syste..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,

Dulny, Andrzej ; Hotho, Andreas ; Krause, Anna - p. 438-455 , 2023

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

6

Towards Explainable Occupational Fraud Detection:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,

Tritscher, Julian ; Schlör, Daniel ; Gwinner, Fabian.. - p. 79-96 , 2023

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

7

Mine waste rock reprocessing using sensor-based sorting (SB..:

Amar, Hicham ; Benzaazoua, Mostafa ; Elghali, Abdellatif...
Minerals Engineering. 204 (2023) - p. 108415 , 2023

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

8

Feature relevance XAI in anomaly detection: Reviewing appro..:

Tritscher, Julian ; Krause, Anna ; Hotho, Andreas
Frontiers in Artificial Intelligence. 6 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

9

ConvMOS: climate model output statistics with deep learning:

Steininger, Michael ; Abel, Daniel ; Ziegler, Katrin...
Data Mining and Knowledge Discovery. 37 (2022) 1 - p. 136-166 , 2022

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

10

Anomaly Detection in Beehives: An Algorithm Comparison:

, In: Communications in Computer and Information Science; Sensor Networks,

Davidson, Padraig ; Steininger, Michael ; Lautenschlager, Florian.. - p. 1-20 , 2022

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

11

NeuralPDE: Modelling Dynamical Systems from Data:

, In: Lecture Notes in Computer Science; KI 2022: Advances in Artificial Intelligence,

Dulny, Andrzej ; Hotho, Andreas ; Krause, Anna - p. 75-89 , 2022

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

12

Semi-Supervised Learning for Grain Size Distribution Interp..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,

Kobs, Konstantin ; Schäfer, Christian ; Steininger, Michael... - p. 34-44 , 2021

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

13

Evaluating the multi-task learning approach for land use re..:

Dulny, Andrzej ; Steininger, Michael ; Lautenschlager, Florian..
Journal of Physics: Conference Series. 1834 (2021) 1 - p. 012004 , 2021

Link: https://doi.org/10.1088/..

14

Efficacy, quality of life, and safety of methotrexate versu..:

Chmielowska, Ewa ; Sokołowska-Wojdyło, Małgorzata ; Olszewska, Berenika...
Advances in Dermatology and Allergology. 38 (2021) 2 - p. 295-301 , 2021

Link: https://doi.org/10.5114/..

15

Semi-unsupervised Learning: An In-depth Parameter Analysis:

, In: KI 2021: Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Davidson, Padraig ; Buckermann, Florian ; Steininger, Michael.. - p. 51-66 , 2021

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