Wadhah Zai El Amri

ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception

El Amri, W. Z., Kuhlmann, M. & Navarro-Guerrero, N., 13 Mai 2025, 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Ott, C., Admoni, H., Behnke, S., Bogdan, S., Bolopion, A., Choi, Y., Ficuciello, F., Gans, N., Gosselin, C., Harada, K., Kayacan, E., Kim, H. J., Leutenegger, S., Liu, Z., Maiolino, P., Marques, L., Matsubara, T., Mavromatti, A., Minor, M., O'Kane, J., Park, H. W., Park, H.-W., Rekleitis, I., Renda, F., Ricci, E., Riek, L. D., Sabattini, L., Shen, S., Sun, Y., Wieber, P.-B., Yamane, K. & Yu, J. (Hrsg.). Institute of Electrical and Electronics Engineers Inc., S. 5836-5842 7 S. (Proceedings - IEEE International Conference on Robotics and Automation).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Open Access

Optimizing BioTac Simulation for Realistic Tactile Perception

Zai El Amri, W. & Navarro-Guerrero, N., 2024, 2024 International Joint Conference on Neural Networks: IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8 S.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

A Review of the Role of Causality in Developing Trustworthy AI Systems

Ganguly, N., Fazlija, D., Badar, M., Fisichella, M., Sikdar, S., Schrader, J., Wallat, J., Rudra, K., Koubarakis, M., Patro, G. K., Zai El Amri, W. & Nejdl, W., 2023, (Elektronisch veröffentlicht (E-Pub)) (ACM Computing Surveys).

Publikation: Arbeitspapier/Preprint › Preprint

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

Zai El Amri, W., Hermes, L. & Schilling, M., 2023, Machine Learning, Optimization, and Data Science. Nicosia, G., Giuffrida, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P., Di Fatta, G. & Umeton, R. (Hrsg.). S. 265-280 16 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13811 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review

Open set task augmentation facilitates generalization of deep neural networks trained on small data sets

Zai El Amri, W., Reinhart, F. & Schenck, W., Apr. 2022, in: Neural Computing and Applications. 34, 8, S. 6067-6083 17 S.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review