TARTAGLIONE, Enzo

TARTAGLIONE, Enzo  

MATEMATICA "GIUSEPPE PEANO"  

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Risultati 1 - 20 di 29 (tempo di esecuzione: 0.026 secondi).
Titolo Data di pubblicazione Autore(i) File
A non-discriminatory approach to ethical deep learning 2020 Tartaglione E.; Grangetto M.
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images 2022 Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M.
Applications of AI and HPC in the Health Domain 2022 Oniga D.; Cantalupo B.; Tartaglione E.; Perlo D.; Grangetto M.; Aldinucci M.; Bolelli F.; Pollastri F.; Cancilla M.; Canalini L.; Grana C.; Alcalde C.M.; Cardillo F.A.; Florea M.
Bridging the gap between debiasing and privacy for deep learning 2021 Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco
Capsule Networks with Routing Annealing 2021 Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M.
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small 2023 Deng, Chenxi Lola; Tartaglione, Enzo
Delving in the loss landscape to embed robust watermarks into neural networks 2020 Tartaglione E.; Grangetto M.; Cavagnino D.; Botta M.
Disentangling private classes through regularization 2023 Tartaglione E.; Gennari F.; Quetu V.; Grangetto M.
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images 2021 Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M.
EnD: Entangling and Disentangling Deep Representations for Bias Correction 2021 Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
HEMP: High-order entropy minimization for neural network compression 2021 Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M.
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks 2020 Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks 2022 Tartaglione, Enzo; Bragagnolo, Andrea; Fiandrotti, Attilio; Grangetto, Marco
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke 2023 Gava, Umberto A; D'Agata, Federico; Tartaglione, Enzo; Renzulli, Riccardo; Grangetto, Marco; Bertolino, Francesca; Santonocito, Ambra; Bennink, Edwin; Vaudano, Giacomo; Boghi, Andrea; Bergui, Mauro
On the Role of Structured Pruning for Neural Network Compression 2021 Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco
Post-synaptic Potential Regularization Has Potential 2019 Tartaglione, Enzo; Perlo, Daniele; Grangetto, Marco
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima 2020 Tartaglione E.; Bragagnolo A.; Grangetto M.
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks 2021 Tartaglione, Enzo; Bragagnolo, Andrea; Odierna, Francesco; Fiandrotti, Attilio; Grangetto, Marco
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks 2019 Tartaglione, Enzo; Grangetto, Marco
The DeepHealth HPC Infrastructure: Leveraging Heterogenous HPC and Cloud Computing Infrastructures for IA-based Medical Solutions 2022 Eduardo Quiñones, Jesus Perales, Jorge Ejarque, Asaf Badouh, Santiago Marco, Fabrice Auzanneau, François Galea, David González, José Ramón Hervás, Tatiana Silva, Iacopo Colonnelli, Barbara Cantalupo, Marco Aldinucci, Enzo Tartaglione, Rafael Tornero, José Flich, Jose Maria Martínez, David Rodriguez, Izan Catalán, Jorge García, Carles Hernández