Dr.-Ing. Kai Klede
Kai Klede, Dr.-Ing.
Alumnus
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: kai.klede@fau.de
| 07/2021 – 04/2025 | Researcher and Ph.D. Student
Machine Learning and Data Analytics Lab, Germany Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuernberg (FAU) |
| 01/2024 – 03/2024 |
Visiting Researcher Computer Laboratory, United KingdomDepartment of Computer Science and Technology, University of Cambridge |
| 04/2019 – 07/2021 | M.Sc. Physics
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Thesis: Optical properties of quantum confined semiconductor nanostructures executed at the Max Planck Institute for the science of light |
| 09/2017 – 01/2018 | Erasmus Student
Université Grenoble Alpes, France |
| 02/2017 – 04/2017 | Vistiting Student and Research Assistant
Harvey Mudd College, USA Experimental loophole-free Bell’s inequality tests |
| 10/2015- 04/2019 | B.Sc. in Physics
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Thesis: Ising model on finite projective geometries |
2024
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ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines
3rd International Workshop on Databases and Machine Learning (Utrecht, 13. May 2024 - 13. May 2024)
Open Access: https://www.wis.ewi.tudelft.nl/assets/files/dbml2024/DBML24_paper_11.pdf
URL: https://www.wis.ewi.tudelft.nl/assets/files/dbml2024/DBML24_paper_11.pdf
BibTeX: Download - , , , :
The Impact of Random Models on Standardized Clustering Similarity
In: IEEE Access (2024)
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3507133
URL: https://ieeexplore.ieee.org/document/10769363
BibTeX: Download - , , , , , :
Enhancing unsupervised outlier model selection: A study on ireos algorithms
In: ACM Transactions on Knowledge Discovery from Data 18 (2024), Article No.: 178
ISSN: 1556-4681
DOI: 10.1145/3653719
BibTeX: Download - , , , :
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
International Conference on Computational Science 2024
In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (ed.): Computational Science -- ICCS 2024, Cham: 2024
DOI: 10.1007/978-3-031-63772-8_22
BibTeX: Download
2023
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p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Thirty-seventh Annual Conference on Neural Information Processing Systems (New Orleans, 10. December 2023 - 16. December 2023)
In: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (ed.): Advances in Neural Information Processing Systems 36 2023
Open Access: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
BibTeX: Download - , , , :
FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
AAAI 2023 (Washington, D.C., 7. February 2023 - 14. February 2023)
In: Proceedings of the AAAI Conference on Artificial Intelligence, 37(7) 2023
DOI: 10.1609/aaai.v37i7.26003
URL: https://ojs.aaai.org/index.php/AAAI/article/view/26003
BibTeX: Download - , , , , , :
Die Rätselrevolution: Automated German Crossword Solving
CLiC-it 2023 - Italian Conference on Computational Linguistics (Venice, 30. November 2023 - 2. December 2023)
In: Federico Boschetti, Gianluca E. Lebani, Bernardo Magnini, Nicole Novielli (ed.): Proceedings of the 9th Italian Conference on Computational Linguistics 2023
Open Access: https://ceur-ws.org/Vol-3596/paper54.pdf
URL: https://ceur-ws.org/Vol-3596/paper54.pdf
BibTeX: Download
- 2019: Ohm-Preis for outstanding bachelor’s thesis
- 07/2016 – 07/2021: Full scholarship, German Academic Scholarship Foundation
- 01/2024 – 03/2024: DAAD IFI scholarship
| Year | Name | Title |
| 2023 | Bernhard Schrupp | Adaptive Resolution Transformers for High-Resolution Image Processing (Master’s Thesis, Co-Supervision) |
| 2023 | Fabio Rosenthal | Adaptive Resolution Transformers for High-Resolution Image Processing (Master’s Thesis, Co-Supervision) |
| 2023 | Thomas Röthenbacher | Automated German Crossword Resolution (Master’s Thesis, Co-Supervision) |
| 2023 | Hermann Luft | Unsupervised evaluation of anomaly detection methods based on separability algorithms (Master’s Thesis, Co-Supervision) |
| 2022 | Magdalena Maximiuc | Community Detection in Bipartite Networks (Master’s Project) |
| 2022 | Anil Bora Yayak | Reinforced Data Cleaning and Learning (Master’s Thesis, Co-Supervision) |
| 2022 | Sri Harsha Vadlamudi | Exploration and Evaluation of Graph Neural Networks for Urban Anomaly Detection (Master’s Thesis, Co-Supervision) |
| 2021 | Mengyue Wang | Address similarity learning (Master’s Project) |
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