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ORCIDEugenio Lomurno
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2020 – today
- 2025
[j2]Eugenio Lomurno
, Simone Toffoli, Davide Di Febbo, Matteo Matteucci, Francesca Lunardini, Simona Ferrante:
Age Group Discrimination via Free Handwriting Indicators. IEEE J. Biomed. Health Informatics 29(1): 56-67 (2025)- 2024
- [c14]Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vázquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci:
Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. CLOSER 2024: 375-385 - [c13]Eugenio Lomurno, Matteo D'Oria, Matteo Matteucci:
Stable Diffusion Dataset Generation for Downstream Classification Tasks. ESANN 2024 - [c12]Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi:
An Efficient Neural Architecture Search Model for Medical Image Classification. ESANN 2024 - [i20]Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vázquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci:
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. CoRR abs/2403.14650 (2024) - [i19]Eugenio Lomurno, Matteo D'Oria, Matteo Matteucci:
Stable Diffusion Dataset Generation for Downstream Classification Tasks. CoRR abs/2405.02698 (2024) - [i18]Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi:
A Lightweight Neural Architecture Search Model for Medical Image Classification. CoRR abs/2405.03462 (2024) - [i17]Eugenio Lomurno, Matteo Matteucci:
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks. CoRR abs/2407.15526 (2024) - [i16]Eugenio Lomurno, Matteo Matteucci:
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing. CoRR abs/2407.20830 (2024) - [i15]Alberto Archetti, Eugenio Lomurno, Diego Piccinotti, Matteo Matteucci:
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis. CoRR abs/2409.13363 (2024) - [i14]Eugenio Lomurno, Samuele Mariani, Matteo Monti, Matteo Matteucci:
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator. CoRR abs/2409.20447 (2024) - 2023
- [j1]Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci:
POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification. Appl. Soft Comput. 145: 110555 (2023) - [c11]Eugenio Lomurno, Andrea Lampis, Matteo Matteucci:
Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques. BMVC 2023: 715-717 - [c10]Eugenio Lomurno, Alberto Archetti, Francesca Ausonio, Matteo Matteucci:
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks. BMVC 2023: 799 - [c9]Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci:
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. IJCNN 2023: 1-9 - [c8]Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. INNS DLIA@IJCNN 2023: 519-528 - [c7]Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci:
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning. LOD (1) 2023: 463-478 - [c6]Alberto Archetti, Eugenio Lomurno, Francesco Lattari, André Martin, Matteo Matteucci:
Heterogeneous Datasets for Federated Survival Analysis Simulation. ICPE (Companion) 2023: 173-180 - [i13]Alberto Archetti, Eugenio Lomurno, Francesco Lattari, André Martin, Matteo Matteucci:
Heterogeneous Datasets for Federated Survival Analysis Simulation. CoRR abs/2301.12166 (2023) - [i12]Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. CoRR abs/2301.12168 (2023) - [i11]Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci:
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. CoRR abs/2302.01888 (2023) - [i10]Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci:
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning. CoRR abs/2304.04553 (2023) - [i9]Andrea Lampis, Eugenio Lomurno, Matteo Matteucci:
Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques. CoRR abs/2305.10118 (2023) - [i8]Eugenio Lomurno, Alberto Archetti, Francesca Ausonio, Matteo Matteucci:
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks. CoRR abs/2306.03054 (2023) - [i7]Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search. CoRR abs/2307.00960 (2023) - [i6]Eugenio Lomurno, Simone Toffoli, Davide Di Febbo, Matteo Matteucci, Francesca Lunardini, Simona Ferrante:
Age Group Discrimination via Free Handwriting Indicators. CoRR abs/2309.17156 (2023) - 2022
- [c5]Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci:
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning. AIPR 2022: 205-214 - [c4]Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci:
Improving Multi-View Stereo via Super-Resolution. ICIAP (2) 2022: 102-113 - [c3]Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci:
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. IJCNN 2022: 1-8 - [c2]Eugenio Lomurno, Matteo Matteucci:
On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques. LOD (1) 2022: 223-238 - [i5]Eugenio Lomurno, Matteo Matteucci:
On the utility and protection of optimization with differential privacy and classic regularization techniques. CoRR abs/2209.03175 (2022) - [i4]Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci:
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. CoRR abs/2210.02959 (2022) - [i3]Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci:
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification. CoRR abs/2212.06735 (2022) - 2021
- [c1]Eugenio Lomurno, Stefano Samele, Matteo Matteucci, Danilo Ardagna:
Pareto-optimal progressive neural architecture search. GECCO Companion 2021: 1726-1734 - [i2]Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci:
Improving Multi-View Stereo via Super-Resolution. CoRR abs/2107.13261 (2021) - [i1]Eugenio Lomurno, Leonardo Di Perna, Lorenzo Cazzella, Stefano Samele, Matteo Matteucci:
A Generative Federated Learning Framework for Differential Privacy. CoRR abs/2109.12062 (2021)
Coauthor Index
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