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 May 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. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5836-5842 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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, (E-pub ahead of print) (ACM Computing Surveys).

Research output: Working paper/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. (eds.). p. 265-280 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13811 LNCS).

Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › 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, p. 6067-6083 17 p.

Research output: Contribution to journal › Article › Research › peer review