Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data. - Silvia Liberata Ullo; Maximillian S. Langenkamp; Tuomas P. Oikarinen; Maria Pia del Rosso; Alessandro Sebastianelli; Federica Piccirillo; Stefania Sica (IGARSS, 2019)

Application of Dinsar Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring. - T. De Corso; Luca Mignone; Alessandro Sebastianelli; Maria P. del Rosso; C. Yost; E. Ciampa; M. Pecce; Stefania Sica; Silvia Liberata Ullo (IGARSS, 2020)

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures based on Artificial Intelligence algorithms and multi-sources Data Processing. - Alessandro Sebastianelli; Francesco Mauro; Gianluca Di Cosmo; Fabrizio Passarini; Marco Carminati; Silvia Liberata Ullo (CoRR, 2020)

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. - Daniela Alessandra Zaidenberg; Alessandro Sebastianelli; Dario Spiller; Bertrand Le Saux; Silvia Liberata Ullo (IGARSS, 2021)

A Deep Q-Learning based approach applied to the Snake game. - Alessandro Sebastianelli; Massimo Tipaldi; Silvia Liberata Ullo; Luigi Glielmo (MED, 2021)

Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. - Daniela Alessandra Zaidenberg; Alessandro Sebastianelli; Dario Spiller; Silvia Liberata Ullo (CoRR, 2021)

A SAR speckle filter based on Residual Convolutional Neural Networks. - Alessandro Sebastianelli; Maria Pia del Rosso; Silvia Liberata Ullo (CoRR, 2021)

Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification. - Alessandro Sebastianelli; Maria Pia del Rosso; Pierre-Philippe Mathieu; Silvia Liberata Ullo (CoRR, 2021)

Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal. - Alessandro Sebastianelli; Artur Nowakowski; Erika Puglisi; Maria Pia del Rosso; Jamila Mifdal; Fiora Pirri; Pierre-Philippe Mathieu; Silvia Liberata Ullo (CoRR, 2021)

AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing. - Alessandro Sebastianelli; Francesco Mauro; Gianluca Di Cosmo; Fabrizio Passarini; Marco Carminati; Silvia Liberata Ullo (ISPRS Int. J. Geo Inf., 2021)

On-Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery. - Maria Pia del Rosso; Alessandro Sebastianelli; Dario Spiller; Pierre-Philippe Mathieu; Silvia Liberata Ullo (Remote. Sens., 2021)

Automatic dataset builder for Machine Learning applications to satellite imagery. - Alessandro Sebastianelli; Maria Pia del Rosso; Silvia Liberata Ullo (SoftwareX, 2021)

A New Mask R-CNN-Based Method for Improved Landslide Detection. - Silvia Liberata Ullo; Amrita Mohan; Alessandro Sebastianelli; Shaik Ejaz Ahamed; Basant Kumar; Ramji Dwivedi; Ganesh Ram Sinha (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Decision Support System Based on Machine Learning to Counteract Covid-Like Pandemic Events. - Alessandro Sebastianelli; Francesco Mauro; Gianluca Di Cosmo; Fabrizio Passarini; Marco Carminati; Silvia Liberata Ullo (IGARSS, 2022)

A demo setup testing onboard CNNs for Volcanic Eruption Detection. - Maria Pia del Rosso; Alessandro Sebastianelli; Dario Spiller; Silvia Liberata Ullo (MetroXRAINE, 2022)

Early Detection of Volcanic Eruption through Artificial Intelligence on board. - Pietro Di Stasio; Alessandro Sebastianelli; Gabriele Meoni; Silvia Liberata Ullo (MetroXRAINE, 2022)

A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks. - Alessandro Sebastianelli; Maria Pia del Rosso; Silvia Liberata Ullo; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. - Alessandro Sebastianelli; Daniela Alessandra Zaidenberg; Dario Spiller; Bertrand Le Saux; Silvia Liberata Ullo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal. - Alessandro Sebastianelli; Erika Puglisi; Maria Pia del Rosso; Jamila Mifdal; Artur Nowakowski; Pierre-Philippe Mathieu; Fiora Pirri; Silvia Liberata Ullo (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep unfolding for hyper sharpening using a high-frequency injection module. - Jamila Mifdal; Marc Tomás-Cruz; Alessandro Sebastianelli; Bartomeu Coll; Joan Duran (CVPR Workshops, 2023)

SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis. - Francesco Mauro; Benjamin Rich; Veronica Wairimu Muriga; Fjoralba Janku; Alessandro Sebastianelli; Silvia Liberata Ullo (IGARSS, 2023)

A Machine Learning Approach to Long-Term Drought Prediction Using Normalized Difference Indices Computed on a Spatiotemporal Dataset. - Veronica Wairimu Muriga; Benjamin Rich; Francesco Mauro; Alessandro Sebastianelli; Silvia Liberata Ullo (IGARSS, 2023)

Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting. - Francesco Mauro; Luigi Russo 002; Fjoralba Janku; Alessandro Sebastianelli; Silvia Liberata Ullo (MetroXRAINE, 2023)

On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data. - Alessandro Sebastianelli; Maria Pia del Rosso; Silvia Liberata Ullo; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2023)

Qspecklefilter: A Quantum Machine Learning Approach for SAR Speckle Filtering. - Francesco Mauro; Alessandro Sebastianelli; Maria Pia del Rosso; Paolo Gamba; Silvia Liberata Ullo (IGARSS, 2024)

A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. - Francesco Mauro; Alessandro Sebastianelli; Bertrand Le Saux; Paolo Gamba; Silvia Liberata Ullo (IGARSS, 2024)

Using Multi-Temporal Sentinel-1 and Sentinel-2 Data for Water Bodies Mapping. - Luigi Russo 002; Francesco Mauro; Babak Memar; Alessandro Sebastianelli; Paolo Gamba; Silvia Liberata Ullo (IGARSS, 2024)

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. - Andrea Ceschini; Francesco Mauro; Francesca De Falco; Alessandro Sebastianelli; Alessio Verdone; Antonello Rosato; Bertrand Le Saux; Massimo Panella; Paolo Gamba; Silvia Liberata Ullo (CoRR, 2024)

SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking. - Luigi Russo 002; Francesco Mauro; Alessandro Sebastianelli; Paolo Gamba; Silvia Liberata Ullo (CoRR, 2024)

Benchmarking of a new data splitting method on volcanic eruption data. - Simona Reale; Pietro Di Stasio; Francesco Mauro; Alessandro Sebastianelli; Paolo Gamba; Silvia Liberata Ullo (CoRR, 2024)

On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation. - Lorenzo Papa; Alessandro Sebastianelli; Gabriele Meoni; Irene Amerini (CoRR, 2024)

Quantum Hybrid Diffusion Models for Image Synthesis. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Künstliche Intell., 2024)

Quantum latent diffusion models. - Francesca De Falco; Andrea Ceschini; Alessandro Sebastianelli; Bertrand Le Saux; Massimo Panella (Quantum Mach. Intell., 2024)

A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data. - Luigi Russo 002; Francesco Mauro; Babak Memar; Alessandro Sebastianelli; Silvia Liberata Ullo; Paolo Gamba (JURSE, 2025)

Quantum-Enhanced Water Quality Monitoring: Exploiting $ Phi$ Sat-2 Data With Quanvolution. - Francesco Mauro; Francesca Razzano; Pietro Di Stasio; Alessandro Sebastianelli; Gabriele Meoni; Gilda Schirinzi; Paolo Gamba; Silvia Liberata Ullo (IEEE Geosci. Remote. Sens. Lett., 2025)

MUMUCD: A Multimodal Multiclass Change Detection Dataset. - Federico Serva; Alessandro Sebastianelli; Bertrand Le Saux; Federico Ricciuti (IEEE Geosci. Remote. Sens. Lett., 2025)

Quanv4EO: Empowering Earth Observation by Means of Quanvolutional Neural Networks. - Alessandro Sebastianelli; Francesco Mauro; Giulia Ciabatti; Dario Spiller; Bertrand Le Saux; Paolo Gamba; Silvia Liberata Ullo (IEEE Trans. Geosci. Remote. Sens., 2025)

On hybrid quanvolutional neural networks optimization. - Andrea Ceschini; Andrea Carbone; Alessandro Sebastianelli; Massimo Panella; Bertrand Le Saux (Quantum Mach. Intell., 2025)