José Cano

An axiomatic framework for propagating uncertainty in directed acyclic networks

José Cano, Miguel Delgado, Serafı́n Moral · International Journal of Approximate Reasoning · 1993 · 68 citations · Full text

Network Science, Graph Theory, Axiomatic Framework +9

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

Valentin Radu, Kuba Kaszyk, Yuan Wen et al. · 2019 · 39 citations

Engineering, Machine Learning, Gpu Benchmarking +19

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Jack Turner, José Cano, Valentin Radu et al. · 2018 · 32 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures

Manolis Loukadakis, José Cano, Michael O’Boyle · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2018 · 19 citations · Full text

Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC

Nícolas Bohm Agostini, Shi Dong, Elmira Karimi et al. · 2020 · 17 citations

Custom Ml Accelerators, Engineering, Machine Learning +18