enzo baccarelli
Sapienza Università di Roma
H-index: 34
Europe-Italy
Top articles of enzo baccarelli
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments | Vehicular Communications | Enzo Baccarelli Michele Scarpiniti Alireza Momenzadeh | 2024/4/1 |
Twinned Residual Auto-Encoder (TRAE)—A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images | Expert Systems with Applications | Enzo Baccarelli Michele Scarpiniti Alireza Momenzadeh | 2023/9/1 |
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study | The Journal of Supercomputing | Sima Sarv Ahrabi Alireza Momenzadeh Enzo Baccarelli Michele Scarpiniti Lorenzo Piazzo | 2023/2 |
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection | Expert Systems with Applications | Michele Scarpiniti Sima Sarv Ahrabi Enzo Baccarelli Lorenzo Piazzo Alireza Momenzadeh | 2022/4/15 |
AFAFed—Asynchronous fair adaptive federated learning for IoT stream applications | Computer Communications | Enzo Baccarelli Michele Scarpiniti Alireza Momenzadeh Sima Sarv Ahrabi | 2022/11/1 |
AFAFed--Protocol analysis | arXiv preprint arXiv:2206.14927 | Enzo Baccarelli Michele Scarpiniti Alireza Momenzadeh Sima Sarv Ahrabi | 2022/6/29 |
Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans | The Journal of Supercomputing | Sima Sarv Ahrabi Lorenzo Piazzo Alireza Momenzadeh Michele Scarpiniti Enzo Baccarelli | 2022/6 |
DeepFogSim: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed … | Applied Sciences | Michele Scarpiniti Enzo Baccarelli Alireza Momenzadeh Sima Sarv Ahrabi | 2021/1/2 |
Gomoku: analysis of the game and of the player Wine | arXiv preprint arXiv:2111.01016 | Lorenzo Piazzo Michele Scarpiniti Enzo Baccarelli | 2021/11/1 |
A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images | Applied Sciences | Michele Scarpiniti Sima Sarv Ahrabi Enzo Baccarelli Lorenzo Piazzo Alireza Momenzadeh | 2021/9/23 |
Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms | IEEE Access | Enzo Baccarelli Michele Scarpiniti Alireza Momenzadeh Sima Sarv Ahrabi | 2021/2/8 |
An accuracy vs. complexity comparison of deep learning architectures for the detection of COVID-19 disease | S Sarv Ahrabi M Scarpiniti E Baccarelli A Momenzadeh | 2021 | |
Why should we add early exits to neural networks? | Simone Scardapane Michele Scarpiniti Enzo Baccarelli Aurelio Uncini | 2020/9 | |
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications | Information Sciences | Enzo Baccarelli Simone Scardapane Michele Scarpiniti Alireza Momenzadeh Aurelio Uncini | 2020/6/1 |
Differentiable branching in deep networks for fast inference | Simone Scardapane Danilo Comminiello Michele Scarpiniti Enzo Baccarelli Aurelio Uncini | 2020/5/4 | |
2019 Index IEEE Transactions on Cloud Computing Vol. 7 | IEEE Transactions on Cloud Computing | T Abdullah V Aggarwal O Akgun H Akkary Z Al Aghbari | 2020/1 |
