Gjergji Kasneci

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Enkelejda KasneciProfessor at the Technical University of MunichE-mailová adresa ověřena na: tum.de
Gerhard WeikumProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusE-mailová adresa ověřena na: mpi-inf.mpg.de
Fabian SuchanekProfessor at Télécom ParisTech & Institut Polytechnique de Paris, Paris, FranceE-mailová adresa ověřena na: telecom-paristech.fr
Martin PawelczykPostdoc, Harvard UniversityE-mailová adresa ověřena na: uni-tuebingen.de
Klaus BroelemannE-mailová adresa ověřena na: uni-muenster.de
Tobias LeemannPhD student, University of TübingenE-mailová adresa ověřena na: uni-tuebingen.de
Kathrin SeßlerTechnical University of MunichE-mailová adresa ověřena na: tum.de
Vadim BorisovPostdoc at Tübingen University Hospital, GermanyE-mailová adresa ověřena na: uni-tuebingen.de
Johannes HaugData Scientist at Bosch Center for Artificial Intelligence, previously at University of TuebingenE-mailová adresa ověřena na: uni-tuebingen.de
Maya RamanathAssistant Professor, Dept. of CSE, IIT-DelhiE-mailová adresa ověřena na: cse.iitd.ac.in
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLE-mailová adresa ověřena na: ucl.ac.uk
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DEE-mailová adresa ověřena na: ki.uni-stuttgart.de
Wolfgang FuhlComputer ScienceE-mailová adresa ověřena na: uni-tuebingen.de
Wolfgang RosenstielInformatikE-mailová adresa ověřena na: uni-tuebingen.de
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichE-mailová adresa ověřena na: math.lmu.de
Oleksandra PoquetTechnical University of Munich and University of South AustraliaE-mailová adresa ověřena na: tum.de
Urs GasserTechnical University of Munich, Harvard UniversityE-mailová adresa ověřena na: tum.de
Felix NaumannHasso Plattner Institute, University of PotsdamE-mailová adresa ověřena na: hpi.de
Yao RongPostdoc, Rice UniversityE-mailová adresa ověřena na: rice.edu
Thanassis TiropanisUniversity of SouthamptonE-mailová adresa ověřena na: ecs.soton.ac.uk

Sledovat

Gjergji Kasneci

Professor at the Technical University of Munich

E-mailová adresa ověřena na: tum.de - Domovská stránka

Responsible Data Science Responsible AI Explainable Machine Learning Algorithmic Accountability


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	5799	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	4006	2023
Yago: A large ontology from wikipedia and wordnet FM Suchanek, G Kasneci, G Weikum Journal of Web Semantics 6 (3), 203-217, 2008	1291	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	1067	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	890	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	324	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	277	2013
Learning model-agnostic counterfactual explanations for tabular data M Pawelczyk, K Broelemann, G Kasneci Proceedings of The Web Conference 2020, 3126-3132, 2020	258	2020
Language models are realistic tabular data generators V Borisov, K Seßler, T Leemann, M Pawelczyk, G Kasneci arXiv preprint arXiv:2210.06280, 2022	219	2022
Pupilnet: Convolutional neural networks for robust pupil detection W Fuhl, T Santini, G Kasneci, E Kasneci arXiv preprint arXiv:1601.04902, 2016	217	2016
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	211	2013
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	194	2009
The YAGO-NAGA approach to knowledge discovery G Kasneci, M Ramanath, F Suchanek, G Weikum ACM SIGMOD Record 37 (4), 41-47, 2009	159	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	154	2007
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations Y Rong, T Leemann, TT Nguyen, L Fiedler, P Qian, V Unhelkar, T Seidel, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	132	2023
ChatGPT for good? On opportunities and challenges of large language models for education (2023) E Kasneci, K Seßler, S Küchemann, M Bannert, D Dementieva, F Fischer, ... URL: edarxiv. org/5er8f. doi 10, 35542, 2023	130*	2023
A consistent and efficient evaluation strategy for attribution methods Y Rong, T Leemann, V Borisov, G Kasneci, E Kasneci International Conference on Machine Learning (ICML), 18770-18795, 2022	119	2022
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	111	2012
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	108	2021
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	106	2017

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