Christin Seifert

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Jörg SchlöttererUniversity of Marburg / Hessian.AI; University of MannheimEmail yang diverifikasi di uni-marburg.de
Granitzer MichaelProfessor Computer Science, University PassauEmail yang diverifikasi di uni-passau.de
Meike NautaDatacation, TU EindhovenEmail yang diverifikasi di tue.nl
Lucas PalettaJOANNEUM RESEARCH Forschungsgesellschaft mbHEmail yang diverifikasi di joanneum.at
Maurice van KeulenAdjunct Professor Data Science Robustness, University of TwenteEmail yang diverifikasi di utwente.nl
Shreyasi PathakPhD candidate, University of TwenteEmail yang diverifikasi di utwente.nl
Jan TrienesUniversity of MarburgEmail yang diverifikasi di uni-marburg.de
Wolfgang KienreichIT:U Interdisciplinary Transformation University AustriaEmail yang diverifikasi di blit.at
jeroen geerdinkinnovation managerEmail yang diverifikasi di zgt.nl
Roman KernKnow Center, Graz University of TechnologyEmail yang diverifikasi di know-center.at
Andrea PapenmeierAssistant Professor, University of TwenteEmail yang diverifikasi di utwente.nl
Gwenn EnglebienneAssistant Professor, University of TwenteEmail yang diverifikasi di utwente.nl
Stefanie LindstaedtFounding President Institute of Digital Sciences AustriaEmail yang diverifikasi di idsa.io
Horst BischofGraz University of TechnologyEmail yang diverifikasi di icg.tugraz.at
Mario ZechnerEmail yang diverifikasi di know-center.at
Dr. Haider AliDepartment of Computer Science, The Johns Hopkins UniversityEmail yang diverifikasi di jhu.edu
Prof. Dr. (ENS Lyon) Harald KoschLehrstuhlinhaber für Verteilte Informationssysteme, Universität PassauEmail yang diverifikasi di uni-passau.de
Tobias LeyProfessor, Danube University Krems, AustriaEmail yang diverifikasi di donau-uni.ac.at
Stefan GumholdChair for Computer Graphics and Visualization, TU DresdenEmail yang diverifikasi di tu-dresden.de
Sebastian GrottelPostDoc, Computer Graphics and Visualization, Computer Science, TU DresdenEmail yang diverifikasi di tu-dresden.de

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Christin Seifert

University of Marburg / Hessian.AI

Email yang diverifikasi di uni-marburg.de - Beranda

Machine Learning Natural Language Processing Explainable AI Medical Data Science


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	489	2023
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	308	2021
Causal discovery with attention-based convolutional neural networks M Nauta, D Bucur, C Seifert Machine Learning and Knowledge Extraction 1 (1), 19, 2019	300	2019
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	180	2008
How model accuracy and explanation fidelity influence user trust A Papenmeier, G Englebienne, C Seifert arXiv preprint arXiv:1907.12652, 2019	145	2019
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	135	2006
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	118	2016
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	109	2017
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	107	2014
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	100	2020
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	96	2022
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	95	2023
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	95	2007
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	80	2023
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	78	2021
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	76	2005
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	74	2023
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	73	2021
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	70	2016
User-based active learning C Seifert, M Granitzer 2010 IEEE International Conference on Data Mining Workshops, 418-425, 2010	63	2010

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