Johannes Brinkrolf received his Master’s degree from Bielefeld University in 2016.
From April 2016 to September 2016, he was a research assistant at the South
Westphalia University of Applied Science. From October 2016 to July 2023, he was a
Ph.D. student in the Machine Learning group at the Center for Cognitive Interaction
Technology at Bielefeld University. In July 2023, he defended his thesis dealing with
applications of learning vector quantization models. His research interests cover differential privacy,
federated and distributed learning, foundations of machine learning, and prototype-based learning models.
Since January 2023, he has been working as a member of the IT service of the Faculty of Technology.
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023) In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1. De Marsico M, Sanniti di Baja G, Fred A (Eds); Setúbal: SCITEPRESS - Science and Technology Publications: 164-175.
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023) In: Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science, 13876. Cham: Springer : 182-194.
Artelt A, Brinkrolf J, Visser R, Hammer B (2022) In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications: 249-261.
Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted) Presented at the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges.
Brinkrolf J, Hammer B (Accepted) In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); .
Brinkrolf J, Hammer B (2020) In: Proceedings of the ESANN, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 375-380.
Brinkrolf J, Berger K, Hammer B (2018) In: Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Verleysen M (Ed); 555-560.
Brinkrolf J, Hammer B (2017) In: 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Piscataway, NJ: IEEE.
