Agent Based Resources Allocation in Job Shop with Re-entrant Features: A Benchmarking Analysis. - Matteo Mario Savino; Antonio Mazza (APMS (1), 2012)

PLM Components Selection Based on a Maturity Assessment and AHP Methodology. - Haiqing Zhang; Yacine Ouzrout; Abdelaziz Bouras; Antonio Mazza; Matteo Mario Savino (PLM, 2013)

Sustainability Enhancement through Environmental Impacts Evaluation. - Matteo Mario Savino; Antonio Mazza (APMS (1), 2013)

Dynamic workforce allocation in a constrained flow shop with multi-agent system. - Matteo Mario Savino; Alessandro Brun; Antonio Mazza (Comput. Ind., 2014)

Toward Environmental and Quality Sustainability: An Integrated Approach for Continuous Improvement. - Matteo Mario Savino; Antonio Mazza (IEEE Trans. Engineering Management, 2014)

A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data. - Massimiliano Gargiulo; Antonio Mazza; Raffaele Gaetano; Giuseppe Ruello; Giuseppe Scarpa (IGARSS, 2018)

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data. - Giuseppe Scarpa; Massimiliano Gargiulo; Antonio Mazza; Raffaele Gaetano (Remote. Sens., 2018)

Deep Learning Solutions for Tandem-X-Based Forest Classification. - Antonio Mazza; Francescopaolo Sica (IGARSS, 2019)

Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks. - Massimiliano Gargiulo; Antonio Mazza; Raffaele Gaetano; Giuseppe Ruello; Giuseppe Scarpa (Remote. Sens., 2019)

TanDEM-X Forest Mapping Using Convolutional Neural Networks. - Antonio Mazza; Francescopaolo Sica; Paola Rizzoli; Giuseppe Scarpa (Remote. Sens., 2019)

Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation. - Antonio Mazza; Pasquale Sepe; Giovanni Poggi; Giuseppe Scarpa (IGARSS, 2021)

Impact of Training Set Design in CNN-Based Sar Image Despeckling. - Antonio Mazza; Giuseppe Scarpa; Luisa Verdoliva; Giovanni Poggi (IGARSS, 2021)

Deep Learning based data-fusion methods for remote sensing applications. - Antonio Mazza (2021)

An Adversarial Training Framework for Sentinel-2 Image Super-Resolution. - Matteo Ciotola; Antonio Martinelli; Antonio Mazza; Giuseppe Scarpa (IGARSS, 2022)

Pansharpening by Convolutional Neural Networks in the Full Resolution Framework. - Matteo Ciotola; Sergio Vitale; Antonio Mazza; Giovanni Poggi; Giuseppe Scarpa (IEEE Trans. Geosci. Remote. Sens., 2022)

Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN. - Matteo Ciotola; Giuseppe Guarino; Antonio Mazza; Giovanni Poggi; Giuseppe Scarpa (IGARSS, 2023)

Synergic Use of SAR and Optical Data for Feature Extraction. - Antonio Mazza; Matteo Ciotola; Giovanni Poggi; Giuseppe Scarpa (IGARSS, 2023)

A Feasibility Study on Opportunistic Rainfall Measurement From Satellite TV Broadcasts. - Fabiola Sapienza; Giacomo Bacci; Filippo Giannetti; Vincenzo Lottici; Attilio Vaccaro; Giovanni Serafino; Alberto Ortolani; Francesca Caparrini; Andrea Antonini; Samantha Melani; Antonio Mazza; Luca Baldini 001; et al. (CoRR, 2023)

CNN-Based NO2 Estimation from Sentinel-5P Data: A Proof-of-Concept. - Giuseppe Guarino; Antonio Mazza; Giuliano Di Giuseppe; Giovanni Poggi; Gemine Vivone; Giuseppe Scarpa (IGARSS, 2024)

PM2.5 Retrieval With Sentinel-5P Data Over Europe Exploiting Deep Learning. - Antonio Mazza; Giuseppe Guarino; Giuseppe Scarpa; Qiangqiang Yuan; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2025)