TARTAGLIONE, Enzo
Dettaglio
TARTAGLIONE, Enzo
MATEMATICA "GIUSEPPE PEANO"
Pubblicazioni
Risultati 1 - 19 di 19 (tempo di esecuzione: 0.0 secondi).
Titolo | Data di pubblicazione | Autore(i) | |
---|---|---|---|
1 | Bridging the gap between debiasing and privacy for deep learning | 2021 | Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco |
2 | Capsule Networks with Routing Annealing | 2021 | Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M. |
3 | 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 |
4 | The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures | 2022 | Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Flich, José; Gómez, Jon A.; González, David; Grana, Costantino; Grangetto, Marco; Leo, Simone; López, Pedro; Oniga, Dana; Paredes, Roberto; Pireddu, Luca; Quiñones, Eduardo; Silva, Tatiana; Tartaglione, Enzo; Zapater, Marina |
5 | 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. |
6 | EnD: Entangling and Disentangling Deep Representations for Bias Correction | 2021 | Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto |
7 | HEMP: High-order entropy minimization for neural network compression | 2021 | Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M. |
8 | LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks | 2020 | Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy |
9 | LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks | 2022 | Tartaglione, Enzo; Bragagnolo, Andrea; Fiandrotti, Attilio; Grangetto, Marco |
10 | A non-discriminatory approach to ethical deep learning | 2020 | Tartaglione E.; Grangetto M. |
11 | On the Role of Structured Pruning for Neural Network Compression | 2021 | Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco |
12 | Post-synaptic Potential Regularization Has Potential | 2019 | Tartaglione, Enzo; Perlo, Daniele; Grangetto, Marco |
13 | Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima | 2020 | Tartaglione E.; Bragagnolo A.; Grangetto M. |
14 | SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks | 2021 | Tartaglione, Enzo; Bragagnolo, Andrea; Odierna, Francesco; Fiandrotti, Attilio; Grangetto, Marco |
15 | Take a Ramble into Solution Spaces for Classification Problems in Neural Networks | 2019 | Tartaglione, Enzo; Grangetto, Marco |
16 | UniToBrain Dataset | 2021 | Umberto Gava; Federico D'Agata; Edwin Bennink; Enzo Tartaglione; Daniele Perlo; Annamaria Vernone; Francesca Bertolino; Eleonora Ficiarà; Alessandro Cicerale; Fabrizio Pizzagalli; Caterina Guiot; Marco Grangetto; Mauro Bergui |
17 | UNITOPATHO | 2021 | Luca Bertero; Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Marco Grangetto; Attilio Fiandrotti; Alessandro Gambella; Luca Cavallo |
18 | Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading | 2021 | Barbano, Carlo Alberto; Perlo, Daniele; Tartaglione, Enzo; Fiandrotti, Attilio; Bertero, Luca; Cassoni, Paola; Grangetto, Marco |
19 | Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data | 2020 | Tartaglione, Enzo; Barbano, Carlo Alberto; Berzovini, Claudio; Calandri, Marco; Grangetto, Marco |