MSc. N'Dah Jean KOUAGOU

Data Science

Wissenschaftlicher Mitarbeiter

Machine Learning, Class Expression Learning, Knowledge Graphs

E-Mail:
ndah.jean.kouagou@uni-paderborn.de
nkouagou@aimsammi.org
ORCID:
0000-0002-4217-897X
Social Media:
Büro­anschrift:
Technologiepark 6
33100 Paderborn
Raum:
TP6.3.310
Sprechstunden:

Monday - Friday

9 am - 5 pm

Publikationen

Aktuelle Publikationen

Universal Knowledge Graph Embeddings

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.

DOI
Neural Class Expression Synthesis

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.

DOI
Class Expression Learning with Multiple Representations

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.

Neural Class Expression Synthesis in ALCHIQ(D)

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.

DOI PDF
Neural Class Expression Synthesis (Extended Abstract)

N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy, CEUR-WS, 2023.

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