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Christin Seifert
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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
2192023
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
2192021
Causal discovery with attention-based convolutional neural networks
M Nauta, D Bucur, C Seifert
Machine Learning and Knowledge Extraction 1 (1), 19, 2019
2192019
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
1792008
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
1372006
How model accuracy and explanation fidelity influence user trust
A Papenmeier, G Englebienne, C Seifert
arXiv preprint arXiv:1907.12652, 2019
1312019
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
1172016
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
1042014
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
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
942017
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
772005
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
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
632020
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
622021
User-based active learning
C Seifert, M Granitzer
2010 IEEE International Conference on Data Mining Workshops, 418-425, 2010
592010
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
522022
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
522021
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring
S Pathak, C Lu, SB Nagaraj, M van Putten, C Seifert
Artificial intelligence in medicine 114, 102038, 2021
472021
Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints.
P Hoefler, M Granitzer, EE Veas, C Seifert
LDOW, 2014
472014
Seeing what the system thinks you know: visualizing evidence in an open learner model
B Kump, C Seifert, G Beham, SN Lindstaedt, T Ley
Proceedings of the 2nd international conference on learning analytics and …, 2012
472012
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Articles 1–20