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Enzo Baccarelli

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sima S. Ahrabi

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Publications

2023
[j80]
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  - journals/tjs/AhrabiMBSP23
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  - https://dblp.org/rec/journals/tjs/AhrabiMBSP23
Sima Sarv Ahrabi, Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo:
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study. J. Supercomput. 79(3): 2850-2881 (2023)
2022
[j79]
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  - journals/comcom/BaccarelliSMA22
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Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
AFAFed - Asynchronous Fair Adaptive Federated learning for IoT stream applications. Comput. Commun. 195: 376-402 (2022)
[j78]
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  - journals/eswa/ScarpinitiABPM22
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Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh:
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection. Expert Syst. Appl. 192: 116366 (2022)
[j77]
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  - journals/tjs/AhrabiPMSB22
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Sima Sarv Ahrabi, Lorenzo Piazzo, Alireza Momenzadeh, Michele Scarpiniti, Enzo Baccarelli:
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans. J. Supercomput. 78(9): 12024-12045 (2022)
[i6]
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  - journals/corr/abs-2206-14927
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Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
AFAFed - Protocol analysis. CoRR abs/2206.14927 (2022)
2021
[j76]
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  - journals/access/BaccarelliSMA21
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Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi:
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 9: 25716-25757 (2021)
[j75]
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  - journals/computation/AhrabiSBM21
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Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh:
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease. Comput. 9(1): 3 (2021)

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