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Wadhah Zai El Amri
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2020 – today
- 2024
- [c3]Wadhah Zai El Amri, Nicolás Navarro-Guerrero:
Optimizing BioTac Simulation for Realistic Tactile Perception. IJCNN 2024: 1-8 - [i5]Wadhah Zai El Amri, Nicolás Navarro-Guerrero:
Optimizing BioTac Simulation for Realistic Tactile Perception. CoRR abs/2404.10425 (2024) - [i4]Wadhah Zai El Amri, Malte F. Kuhlmann, Nicolás Navarro-Guerrero:
Transferring Tactile Data Across Sensors. CoRR abs/2410.14310 (2024) - 2023
- [i3]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, Wolfgang Nejdl:
A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR abs/2302.06975 (2023) - 2022
- [j1]Wadhah Zai El Amri, Felix Reinhart, Wolfram Schenck:
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. Neural Comput. Appl. 34(8): 6067-6083 (2022) - [c2]Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik:
Transfer Learning with Jukebox for Music Source Separation. AIAI (2) 2022: 426-433 - [c1]Wadhah Zai El Amri, Luca Hermes, Malte Schilling:
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. LOD (2) 2022: 265-280 - [i2]Wadhah Zai El Amri, Luca Hermes, Malte Schilling:
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. CoRR abs/2210.08003 (2022) - 2021
- [i1]Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik:
Transfer Learning with Jukebox for Music Source Separation. CoRR abs/2111.14200 (2021)
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last updated on 2024-11-28 21:26 CET by the dblp team
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