Wadhah Zai El Amri, Malte Kuhlmann, and Nicolás Navarro-Guerrero (2024). "Transferring Tactile Data Across Sensors." in 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40), Rotterdam, The Netherlands, Sept. 2024, pp. 1540–1542.
Wadhah Zai El Amri, Nicolás Navarro-Guerrero (2024). "Optimizing BioTac Simulation for Realistic Tactile Perception." 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650656..
Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, and Wolfgang Nejdl (2023). "A Review of the Role of Causality in Developing Trustworthy AI Systems." arXiv:2302.06975.
Wadhah Zai El Amri, Luca Hermes, Malte Schilling (2022). "Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent." In: Nicosia, G., et al. Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13811. Springer, Cham. https://doi.org/10.1007/978-3-031-25891-6_20.
Wadhah Zai El Amri, Oliver Tautz, Helge Ritter, Andrew Melnik (2022). "Transfer Learning with Jukebox for Music Source Separation." Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 647).
Wadhah Zai El Amri, Felix Reinhart, Wolfram Schenck (2022). "Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets." Neural Computing and Applications, 34, 6067–6083.