MSc. N'Dah Jean KOUAGOU
Data Science / Heinz Nixdorf Institute
Research Associate
Machine Learning, Class Expression Learning, Knowledge Graphs
- E-Mail:
- ndah.jean.kouagou@uni-paderborn.de
- Phone:
- +49 5251 60-5190
- ORCID:
- 0000-0002-4217-897X
- Web:
- Homepage
- Homepage (Extern)
- Social Media:
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- FU.211
- Office hours:
Monday - Friday
9 am - 5 pm
Publications
Latest Publications
N.J. KOUAGOU, C. Demir, H.M.A. Zahera, A. Wilke, S. Heindorf, J. Li, A.-C. Ngonga Ngomo, in: Companion Proceedings of the ACM on Web Conference 2024, ACM, 2024.
A.-C. Ngonga Ngomo, C. Demir, N.J. Kouagou, S. Heindorf, N. Karalis, A. Bigerl, in: Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: NeSy 2023, 17th International 360直播吧 on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, 360直播吧na, Italy, CEUR-WS, 2023.
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.
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