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Christin Seifert
Tytuł
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From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ...
ACM Computing Surveys, 2023
4892023
Neural prototype trees for interpretable fine-grained image recognition
M Nauta, R Van Bree, C Seifert
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3082021
Causal discovery with attention-based convolutional neural networks
M Nauta, D Bucur, C Seifert
Machine Learning and Knowledge Extraction 1 (1), 19, 2019
3002019
On the beauty and usability of tag clouds
C Seifert, B Kump, W Kienreich, G Granitzer, M Granitzer
2008 12th International Conference Information Visualisation, 17-25, 2008
1802008
How model accuracy and explanation fidelity influence user trust
A Papenmeier, G Englebienne, C Seifert
arXiv preprint arXiv:1907.12652, 2019
1452019
A mobile vision system for urban detection with informative local descriptors
G Fritz, C Seifert, L Paletta
Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 30-30, 2006
1352006
Robust and collective entity disambiguation through semantic embeddings
S Zwicklbauer, C Seifert, M Granitzer
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
1182016
Visualizations of deep neural networks in computer vision: A survey
C Seifert, A Aamir, A Balagopalan, D Jain, A Sharma, S Grottel, ...
Transparent data mining for big and small data, 123-144, 2017
1092017
Biomedical text mining: state-of-the-art, open problems and future challenges
A Holzinger, J Schantl, M Schroettner, C Seifert, K Verspoor
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics …, 2014
1072014
Automated retrieval of att&ck tactics and techniques for cyber threat reports
V Legoy, M Caselli, C Seifert, A Peter
arXiv preprint arXiv:2004.14322, 2020
1002020
It’s complicated: The relationship between user trust, model accuracy and explanations in AI
A Papenmeier, D Kern, G Englebienne, C Seifert
ACM Transactions on Computer-Human Interaction (TOCHI) 29 (4), 1-33, 2022
962022
Explainable AI in medical imaging: An overview for clinical practitioners–Beyond saliency-based XAI approaches
K Borys, YA Schmitt, M Nauta, C Seifert, N Krämer, CM Friedrich, F Nensa
European journal of radiology 162, 110786, 2023
952023
Window detection in facades
H Ali, C Seifert, N Jindal, L Paletta, G Paar
14th International Conference on Image Analysis and Processing (ICIAP 2007 …, 2007
952007
Pip-net: Patch-based intuitive prototypes for interpretable image classification
M Nauta, J Schlötterer, M Van Keulen, C Seifert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
802023
This looks like that, because... explaining prototypes for interpretable image recognition
M Nauta, A Jutte, J Provoost, C Seifert
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
782021
Q-learning of sequential attention for visual object recognition from informative local descriptors
L Paletta, G Fritz, C Seifert
Proceedings of the 22nd international conference on Machine learning, 649-656, 2005
762005
Explainable AI in medical imaging: An overview for clinical practitioners–Saliency-based XAI approaches
K Borys, YA Schmitt, M Nauta, C Seifert, N Krämer, CM Friedrich, F Nensa
European journal of radiology 162, 110787, 2023
742023
Uncovering and correcting shortcut learning in machine learning models for skin cancer diagnosis
M Nauta, R Walsh, A Dubowski, C Seifert
Diagnostics 12 (1), 40, 2021
732021
Doser-a knowledge-base-agnostic framework for entity disambiguation using semantic embeddings
S Zwicklbauer, C Seifert, M Granitzer
The Semantic Web. Latest Advances and New Domains: 13th International …, 2016
702016
User-based active learning
C Seifert, M Granitzer
2010 IEEE International Conference on Data Mining Workshops, 418-425, 2010
632010
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