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Algorithmic level approximate computing for machine learning classifiers 1-gen-2019 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
Energy efficient implementation of machine learning algorithms on hardware platforms 1-gen-2019 Osta, M.; Alameh, M.; Younes, H.; Ibrahim, A.
Data Oriented Approximate K-Nearest Neighbor Classifier for Touch Modality Recognition 1-gen-2019 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
Efficient algorithms for embedded tactile data processing 1-gen-2020 Younes, H.; Alameh, M.; Ibrahim, A.; Rizk, M.; Valle, M.
A mixed-precision binary neural network architecture for touch modality classification 1-gen-2021 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
Algorithmic-level approximate tensorial svm using high-level synthesis on fpga 1-gen-2021 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
An Efficient Selection-Based kNN Architecture for Smart Embedded Hardware Accelerators 1-gen-2021 Younes, H; Ibrahim, A; Rizk, M; Valle, M
A Shallow Neural Network for Real-Time Embedded Machine Learning for Tensorial Tactile Data Processing 1-gen-2021 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
Efficient FPGA Implementation of Approximate Singular Value Decomposition based on Shallow Neural Networks 1-gen-2021 Younes, H.; Ibrahim, A.; Rizk, M.; Valle, M.
Embedded Machine Learning: Emphasis on Hardware Accelerators and Approximate Computing for Tactile Data Processing 24-feb-2022 Younes, Hamoud
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