Sfoglia per Autore
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
2022-01-01 Barbano Carlo Alberto Maria; Tartaglione E.; Berzovini C.; Calandri M.; Grangetto M.
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
2021-01-01 Perlo D.; Tartaglione E.; Bertero L.; Cassoni P.; Grangetto M.
Bridging the gap between debiasing and privacy for deep learning
2021-01-01 Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco
EnD: Entangling and Disentangling Deep Representations for Bias Correction
2021-01-01 Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
Capsule Networks with Routing Annealing
2021-01-01 Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M.
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading
2021-01-01 Barbano, Carlo Alberto; Perlo, Daniele; Tartaglione, Enzo; Fiandrotti, Attilio; Bertero, Luca; Cassoni, Paola; Grangetto, Marco
UniToBrain Dataset
2021-01-01 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
UNITOPATHO
2021-01-01 Luca Bertero; Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Marco Grangetto; Attilio Fiandrotti; Alessandro Gambella; Luca Cavallo
On the Role of Structured Pruning for Neural Network Compression
2021-01-01 Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco
On the robustness of three classes of rateless codes against pollution attacks in P2P networks
2021-01-01 Gaeta, Rossano; Grangetto, Marco
HEMP: High-order entropy minimization for neural network compression
2021-01-01 Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M.
Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks
2021-01-01 Gaeta, Rossano; Grangetto, Marco
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
2021-01-01 Tartaglione, Enzo; Bragagnolo, Andrea; Odierna, Francesco; Fiandrotti, Attilio; Grangetto, Marco
Graph Laplacian for image anomaly detection
2020-01-01 Verdoja, Francesco; Grangetto, Marco
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
2020-01-01 Tartaglione, Enzo; Barbano, Carlo Alberto; Berzovini, Claudio; Calandri, Marco; Grangetto, Marco
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
2020-01-01 Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy
Real-time object detection and tracking in mixed reality using Microsoft HoloLens
2020-01-01 Farasin A.; Peciarolo F.; Grangetto M.; Gianaria E.; Garza P.
A non-discriminatory approach to ethical deep learning
2020-01-01 Tartaglione E.; Grangetto M.
Delving in the loss landscape to embed robust watermarks into neural networks
2020-01-01 Tartaglione E.; Grangetto M.; Cavagnino D.; Botta M.
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
2020-01-01 Tartaglione E.; Bragagnolo A.; Grangetto M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| 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. | |
| Bridging the gap between debiasing and privacy for deep learning | 2021 | Barbano, Carlo Alberto; Tartaglione, Enzo; Grangetto, Marco | |
| EnD: Entangling and Disentangling Deep Representations for Bias Correction | 2021 | Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto | |
| Capsule Networks with Routing Annealing | 2021 | Renzulli R.; Tartaglione E.; Fiandrotti A.; Grangetto M. | |
| 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 | |
| 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 | |
| UNITOPATHO | 2021 | Luca Bertero; Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Marco Grangetto; Attilio Fiandrotti; Alessandro Gambella; Luca Cavallo | |
| On the Role of Structured Pruning for Neural Network Compression | 2021 | Bragagnolo, Andrea; Tartaglione, Enzo; Fiandrotti, Attilio; Grangetto, Marco | |
| On the robustness of three classes of rateless codes against pollution attacks in P2P networks | 2021 | Gaeta, Rossano; Grangetto, Marco | |
| HEMP: High-order entropy minimization for neural network compression | 2021 | Tartaglione E.; Lathuiliere S.; Fiandrotti A.; Cagnazzo M.; Grangetto M. | |
| Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks | 2021 | Gaeta, Rossano; Grangetto, Marco | |
| SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks | 2021 | Tartaglione, Enzo; Bragagnolo, Andrea; Odierna, Francesco; Fiandrotti, Attilio; Grangetto, Marco | |
| Graph Laplacian for image anomaly detection | 2020 | Verdoja, Francesco; Grangetto, Marco | |
| 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 | |
| LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks | 2020 | Enzo Tartaglione; Andrea Bragagnolo; Marco Grangetto; Skjalg Lepsoy | |
| Real-time object detection and tracking in mixed reality using Microsoft HoloLens | 2020 | Farasin A.; Peciarolo F.; Grangetto M.; Gianaria E.; Garza P. | |
| A non-discriminatory approach to ethical deep learning | 2020 | Tartaglione E.; Grangetto M. | |
| Delving in the loss landscape to embed robust watermarks into neural networks | 2020 | Tartaglione E.; Grangetto M.; Cavagnino D.; Botta M. | |
| Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima | 2020 | Tartaglione E.; Bragagnolo A.; Grangetto M. |
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