| Yago: a core of semantic knowledge FM Suchanek, G Kasneci, G Weikum Proceedings of the 16th international conference on World Wide Web, 697-706, 2007 | 5518 | 2007 |
| ChatGPT for good? On opportunities and challenges of large language models for education E Kasneci, K Seßler, S Küchemann, M Bannert, D Dementieva, F Fischer, ... Learning and Individual Differences 103, 102274, 2023 | 2022 | 2023 |
| Yago: A large ontology from wikipedia and wordnet FM Suchanek, G Kasneci, G Weikum Journal of Web Semantics 6 (3), 203-217, 2008 | 1257 | 2008 |
| Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 708 | 2020 |
| Deep neural networks and tabular data: A survey V Borisov, T Leemann, K Seßler, J Haug, M Pawelczyk, G Kasneci IEEE Transactions on Neural Networks and Learning Systems, 2022 | 556 | 2022 |
| Naga: Searching and ranking knowledge G Kasneci, FM Suchanek, G Ifrim, M Ramanath, G Weikum 2008 IEEE 24th International Conference on Data Engineering, 953-962, 2008 | 325 | 2008 |
| Analyzing and predicting viral tweets M Jenders, G Kasneci, F Naumann Proceedings of the 22nd international conference on world wide web, 657-664, 2013 | 270 | 2013 |
| Learning model-agnostic counterfactual explanations for tabular data M Pawelczyk, K Broelemann, G Kasneci Proceedings of The Web Conference 2020, 3126-3132, 2020 | 206 | 2020 |
| Sigma: Simple greedy matching for aligning large knowledge bases S Lacoste-Julien, K Palla, A Davies, G Kasneci, T Graepel, Z Ghahramani Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 199 | 2013 |
| Pupilnet: Convolutional neural networks for robust pupil detection W Fuhl, T Santini, G Kasneci, E Kasneci arXiv preprint arXiv:1601.04902, 2016 | 197 | 2016 |
| Star: Steiner-tree approximation in relationship graphs G Kasneci, M Ramanath, M Sozio, FM Suchanek, G Weikum Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on, 868-879, 2009 | 184 | 2009 |
| The YAGO-NAGA approach to knowledge discovery G Kasneci, M Ramanath, F Suchanek, G Weikum ACM SIGMOD Record 37 (4), 41-47, 2009 | 156 | 2009 |
| YAWN: A semantically annotated Wikipedia XML corpus R Schenkel, F Suchanek, G Kasneci Datenbanksysteme in Business, Technologie und Web (BTW 2007)–12. Fachtagung …, 2007 | 147 | 2007 |
| Bayesian online clustering of eye movement data E Tafaj, G Kasneci, W Rosenstiel, M Bogdan Proceedings of the symposium on eye tracking research and applications, 285-288, 2012 | 107 | 2012 |
| Language models are realistic tabular data generators V Borisov, K Seßler, T Leemann, M Pawelczyk, G Kasneci arXiv preprint arXiv:2210.06280, 2022 | 103 | 2022 |
| Ming: mining informative entity relationship subgraphs G Kasneci, S Elbassuoni, G Weikum Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 97 | 2009 |
| Pupilnet v2. 0: Convolutional neural networks for cpu based real time robust pupil detection W Fuhl, T Santini, G Kasneci, W Rosenstiel, E Kasneci arXiv preprint arXiv:1711.00112, 2017 | 94 | 2017 |
| Carla: a python library to benchmark algorithmic recourse and counterfactual explanation algorithms M Pawelczyk, S Bielawski, J Heuvel, T Richter, G Kasneci arXiv preprint arXiv:2108.00783, 2021 | 88 | 2021 |
| Automated feature generation from structured knowledge W Cheng, G Kasneci, T Graepel, D Stern, R Herbrich Proceedings of the 20th ACM international conference on Information and …, 2011 | 86 | 2011 |
| Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmentations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types W Fuhl, G Kasneci, E Kasneci 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2021 | 83 | 2021 |
Enkelejda KasneciProfessor at the Technical University of Munich在 tum.de 的电子邮件经过验证
