Dr. N'Dah Jean KOUAGOU
Data Science / Heinz Nixdorf Institut
Wissenschaftlicher Mitarbeiter
Machine Learning, Class Expression Learning, Knowledge Graphs
- E-Mail:
- ndah.jean.kouagou@uni-paderborn.de
- Telefon:
- +49 5251 60-5198
- ORCID:
- 0000-0002-4217-897X
- Web:
- Homepage
- Homepage (Extern)
- Social Media:
- Büroanschrift:
-
Fürstenallee 11
33102 Paderborn - Raum:
- F1.304
- Sprechstunden:
Monday - Friday
9 am - 5 pm
Publikationen
Aktuelle Publikationen
A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras
I. Roberts, L.M. Kamdem Teyou, A. Schulz, N.J. KOUAGOU, A.-C. Ngonga Ngomo, B. Hammer, in: ESANN 2026 Proceedings, 2026.
NIR: Approximate Neural Instance Retrieval for ALCIQ
N.J. KOUAGOU, P. Saha, C. Demir, A.-C. Ngonga Ngomo, ArXiv:2611.02842 (2026).
A Gerbil Learns to Explain
Q. Zhang, H. Shetty, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in: CEUR Workshop Proceedings, CEUR-WS, 2026.
ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings
D. Ekinci Birol, N.J. KOUAGOU, M. Sherif, A.-C. Ngonga Ngomo, in: IEEE International Conference on Data Mining (ICDM) 2026, 2026.
ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge Graph Embeddings
D. Ekinci Birol, N.J. KOUAGOU, S. Sharma, A. Khomich, M. Sherif, A.-C. Ngonga Ngomo, in: ECML PKDD 2026, 2026.
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