Publications

I started co-authoring scientific papers since 2018, during these years I collaborated with many researchers

2024

apayeartypeurlarxiv
Sebastianelli, Alessandro; Serva, Federico; Ceschini, Andrea; Paletta, Quentin; Panella, Massimo; Le Saux, Bertrand; . (2024). Machine learning forecast of surface solar irradiance from meteo satellite data. Remote Sensing of Environment. Elsevier2024Journalurl-
Papa, L., Sebastianelli, A., Meoni, G., & Amerini, I. (2024). On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation. arXiv preprint arXiv:2410.08677.2024Journal-ArXiv
Ebel, Patrick; Schneider, Rochelle; Bonavita, Massimo; Clare, Mariana; Jungbluth, Anna; Pourshamsi, Maryam; Chantry, Matthew; Alexe, Mihai; Sebastianelli, Alessandro; Chrust, Marcin; . (2024). 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction. npj Climate and Atmospheric Science. Nature Publishing Group UK London2024Journalurl-
Reale, Simona; Di Stasio, Pietro; Mauro, Francesco; Sebastianelli, Alessandro; Gamba, Paolo; Ullo, Silvia Liberata; . (2024). Benchmarking of a new data splitting method on volcanic eruption data. arXiv preprint arXiv:2410.06306. ‘’2024Conference-ArXiv
Russo, Luigi; Mauro, Francesco; Sebastianelli, Alessandro; Gamba, Paolo; Ullo, Silvia Liberata; . (2024). SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking. arXiv preprint arXiv:2409.17087. ‘’2024Journal-ArXiv
Ceschini, Andrea; Mauro, Francesco; De Falco, Francesca; Sebastianelli, Alessandro; Verdone, Alessio; Rosato, Antonello; Saux, Bertrand Le; Panella, Massimo; Gamba, Paolo; Ullo, Silvia L; . (2024). From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. arXiv preprint arXiv:2408.06524. ‘’2024Journal-ArXiv
De Falco, Francesca; Ceschini, Andrea; Sebastianelli, Alessandro; Le Saux, Bertrand; Panella, Massimo; . (2024). Quantum Hybrid Diffusion Models for Image Synthesis. KI-Künstliche Intelligenz. Springer Berlin Heidelberg Berlin/Heidelberg2024Journalurl-
Sebastianelli, Alessandro; Mauro, Francesco; Ciabatti, Giulia; Spiller, Dario; Saux, Bertrand Le; Gamba, Paolo; Ullo, Silvia; . (2024). Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks. arXiv preprint arXiv:2407.17108. ‘’2024Journal-ArXiv
Mauro, Francesco; Sebastianelli, Alessandro; Le Saux, Bertrand; Gamba, Paolo; Ullo, Silvia Liberata; . (2024). A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE2024ConferenceurlArXiv
De Falco, Francesca; Ceschini, Andrea; Sebastianelli, Alessandro; Saux, Bertrand Le; Panella, Massimo; . (2024). Towards Efficient Quantum Hybrid Diffusion Models. arXiv preprint arXiv:2402.16147. ‘’2024Journal-ArXiv
Sebastianelli, Alessandro; Spiller, Dario; Carmo, Raquel; Wheeler, James; Nowakowski, Artur; Jacobson, Ludmilla Viana; Kim, Dohyung; Barlevi, Hanoch; Cordero, Zoraya El Raiss; Colón-González, Felipe J; . (2024). A reproducible ensemble machine learning approach to forecast dengue outbreaks. Scientific Reports. Nature Publishing Group UK London2024Journalurl-
Mauro, Francesco; Sebastianelli, Alessandro; Del Rosso, Maria Pia; Gamba, Paolo; Ullo, Silvia Liberata; . (2024). QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering. arXiv preprint arXiv:2402.01235. ‘’2024Conference-ArXiv
Russo, Luigi; Mauro, Francesco; Memar, Babak; Sebastianelli, Alessandro; Gamba, Paolo; Ullo, Silvia Liberata; . (2024). Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping. arXiv preprint arXiv:2402.00023. ‘’2024Conference-ArXiv

2023

apayeartypeurlarxiv
Ullo, Silvia Liberata; Mauro, Francesco; Sebastianelli, Alessandro; Le Saux, Bertrand; Gamba, Paolo Ettore; . (2023). Enhancing Earth Observation with Hybrid Quantum Neural Networks. AGU Fall Meeting Abstracts. ‘’2023Conferenceurl-
Mauro, Francesco; Russo, Luigi; Janku, Fjoralba; Sebastianelli, Alessandro; Ullo, Silvia Liberata; . (2023). Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE2023ConferenceurlArXiv
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Ullo, Silvia Liberata; Gamba, Paolo; . (2023). On quantum hyperparameters selection in hybrid classifiers for Earth observation data. IEEE Geoscience and Remote Sensing Letters. IEEE2023JournalurlArXiv
Mauro, Francesco; Rich, Benjamin; Muriga, Veronica Wairimu; Janku, Fjoralba; Sebastianelli, Alessandro; Ullo, Silvia Liberata; . (2023). SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis. IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE2023ConferenceurlArXiv
Spiller, Dario; Santin, Gabriele; Sebastianelli, Alessandro; Lucchini, Lorenzo; Gallotti, Riccardo; Lake, Brennan; Ullo, Silvia Liberata; Saux, Bertrand Le; Lepri, Bruno; . (2023). Analysis of COVID-19 first wave in the US based on demographic, mobility, and environmental variables. arXiv preprint arXiv:2302.14649. ‘’2023Journal-ArXiv
Wairimu Muriga, Veronica; Rich, Benjamin; Mauro, Francesco; Sebastianelli, Alessandro; Liberata Ullo, Silvia; . (2023). A Machine Learning Approach to Long-Term Drought Prediction using Normalized Difference Indices Computed on a Spatiotemporal Dataset. arXiv e-prints. ‘’2023ConferenceurlArXiv
Tomás-Cruz, Marc; Sebastianelli, Alessandro; Coll, Bartomeu; Duran, Joan; Mifdal, Jamila; . (2023). Deep unfolding for hypersharpening using a high-frequency injection module. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). ‘’2023ConferenceurlArXiv
De Falco, F; Ceschini, A; Sebastianelli, A; Panella, M; Le Saux, B; . (2023). Towards Quantum Diffusion Models. Proceedings of Quantum Techniques in Machine Learning (QTML 2023). ‘’2023Conferenceurl-
Mair, S; Sebastianelli, A; Ceschini, A; Vidal, S; Panella, M; Le Saux, B; . (2023). Towards Strategies to Avoid Barren Plateaus. Proceedings of Quantum Techniques in Machine Learning (QTML 2023). ‘’2023Conferenceurl-

2022

apayeartypeurlarxiv
Del Rosso, Maria Pia; Sebastianelli, Alessandro; Spiller, Dario; Ullo, Silvia Liberata; . (2022). A demo setup testing onboard CNNs for Volcanic Eruption Detection. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE2022Conferenceurl-
Di Stasio, Pietro; Sebastianelli, Alessandro; Meoni, Gabriele; Ullo, Silvia Liberata; . (2022). Early detection of volcanic eruption through artificial intelligence on board. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE2022Conferenceurl-
Sebastianelli, Alessandro; Puglisi, Erika; Del Rosso, Maria Pia; Mifdal, Jamila; Nowakowski, Artur; Mathieu, Pierre Philippe; Pirri, Fiora; Ullo, Silvia Liberata; . (2022). PLFM: Pixel-level merging of intermediate feature maps by disentangling and fusing spatial and temporal data for cloud removal. IEEE Transactions on Geoscience and Remote Sensing. IEEE2022JournalurlArXiv
Sebastianelli, Alessandro; Mauro, Francesco; Di Cosmo, Gianluca; Passarini, Fabrizio; Carminati, Marco; Ullo, Silvia Liberata; . (2022). A Decision Support System Based on Machine Learning to Counteract Covid-Like Pandemic Events. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE2022Conferenceurl-
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Ullo, Silvia L; Gamba, Paolo; . (2022). A speckle filter for Sentinel-1 SAR ground range detected data based on residual convolutional neural networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE2022JournalurlArXiv

2021

apayeartypeurlarxiv
Sebastianelli, Alessandro; Zaidenberg, Daniela Alessandra; Spiller, Dario; Le Saux, Bertrand; Ullo, Silvia Liberata; . (2021). On circuit-based hybrid quantum neural networks for remote sensing imagery classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE2021JournalurlArXiv
Del Rosso, Maria Pia; Sebastianelli, Alessandro; Aparicio, Sara; Wheeler, James; . (2021). How to create a proper EO dataset. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. IET2021Book-churl-
Ullo, SILVIA LIBERATA; Del Rosso, Maria Pia; Sebastianelli, Alessandro; Puglisi, Erika; Bernardi, Mario Luca; Cimitile, Marta; . (2021). How to develop your network with Python and Keras. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Book-churl-
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Ullo, SILVIA LIBERATA; Puglisi, Erika; Biondi, Filippo; . (2021). A generation problem. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Book-churl-
Sebastianelli, Alessandro; Ullo, SILVIA LIBERATA; Del Rosso, Maria Pia; Aparício, Sara; Radius, Andrea; Zarro, Chiara; Wheeler, James; Stewart, Chris; Addabbo, Pia; . (2021). Principles of satellite data analysis. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Book-churl-
Del Rosso, Maria Pia; Sebastianelli, Alessandro; Ullo, Silvia L; . (2021). Artificial intelligence applied to satellite-based remote sensing data for earth observation. ‘’. Institution of Engineering and Technology2021BookurlArXiv
Del Rosso, Maria Pia; Sebastianelli, Alessandro; Spiller, Dario; Mathieu, Pierre Philippe; Ullo, Silvia Liberata; . (2021). On-board volcanic eruption detection through cnns and satellite multispectral imagery. Remote Sensing. MDPI2021Book-churlArXiv
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Ullo, Silvia Liberata; Radius, Andrea; Clemente, Carmine; Orlando, Danilo; Biondi, Filippo; Wheeler, James; . (2021). A filtering problem: SAR speckle filtering. Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation. ‘’2021Book-churl-
Zaidenberg, Daniela A; Sebastianelli, Alessandro; Spiller, Dario; Le Saux, Bertrand; Ullo, Silvia Liberata; . (2021). Advantages and bottlenecks of quantum machine learning for remote sensing. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE2021ConferenceurlArXiv
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Ullo, Silvia Liberata; . (2021). Automatic dataset builder for Machine Learning applications to satellite imagery. SoftwareX. Elsevier2021JournalurlArXiv
Sebastianelli, Alessandro; Tipaldi, Massimo; Ullo, Silvia Liberata; Glielmo, Luigi; . (2021). A Deep Q-Learning based approach applied to the Snake game. 2021 29th Mediterranean Conference on Control and Automation (MED). IEEE2021ConferenceurlArXiv
Sebastianelli, Alessandro; Del Rosso, Maria Pia; Mathieu, Pierre Philippe; Ullo, Silvia Liberata; . (2021). Paradigm selection for data fusion of sar and multispectral sentinel data applied to land-cover classification. arXiv preprint arXiv:2106.11056. ‘’2021Journal-ArXiv
Ullo, Silvia Liberata; Mohan, Amrita; Sebastianelli, Alessandro; Ahamed, Shaik Ejaz; Kumar, Basant; Dwivedi, Ramji; Sinha, Ganesh R; . (2021). A new mask R-CNN-based method for improved landslide detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE2021JournalurlArXiv
Sebastianelli, Alessandro; Mauro, Francesco; Di Cosmo, Gianluca; Passarini, Fabrizio; Carminati, Marco; Ullo, Silvia Liberata; . (2021). Airsense-to-act: A concept paper for covid-19 countermeasures based on artificial intelligence algorithms and multi-source data processing. ISPRS International Journal of Geo-Information. MDPI2021JournalurlArXiv
Sebastianelli, A; Rosso, MPD; Zarro, C; Martire, DD; Napoli, MD; Spiller, D; Nowakowski, A; Bonifacio, R; Kim, D-H; Garcia-Herranz, M; . (2021). A classification problem. Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Book-churl-
Ullo, SILVIA LIBERATA; Sebastianelli, Alessandro; Rosso, MPD; Spiller, Dario; Puglisi, Erika; Nowakowski, Artur; Bernardi, Mario Luca; Cimitile, Marta; . (2021). Convolutional neural networks. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Booh-churl-
Rosso, MPD; Ullo, SILVIA LIBERATA; Sebastianelli, Alessandro; Spiller, Dario; Puglisi, Erika; Martire, DD; Aparício, Sara; Addabbo, Pia; . (2021). Artificial intelligence, machine learning and deep learning. Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation. Institution of Engineering and Technology2021Book-churl-
Rosso, MPD; Ullo, SILVIA LIBERATA; Sebastianelli, Alessandro; Spiller, Dario; Puglisi, Erika; Biondi, Filippo; Orlando, Danilo; . (2021). Artificial neural network. Artificial intelligence applied to satellite-based remote sensing data for earth observation. Institution of Engineering and Technology2021Book-churl-
Schneider, Rochelle; Sebastianelli, Alessandro; Spiller, Dario; Wheeler, James; Carmo, Raquel; Nowakowski, Artur; Garcia-Herranz, Manuel; Kim, Dohyung; Barlevi, Hanoch; Cordero, Zoraya El Raiss; . (2021). Climate-based ensemble machine learning model to forecast Dengue epidemics (papers track). Thirty-eighth International Conference on Machine Learning (ICML) 2021. ‘’2021Conferenceurl-

2020

apayeartypeurlarxiv
De Corso, Tony; Mignone, Luca; Sebastianelli, Alessandro; del Rosso, Maria P; Yost, Claire; Ciampa, Elena; Pecce, Marisa; Sica, Stefania; Ullo, Silvia; . (2020). Application of DInSAR technique to high coherence satellite images for strategic infrastructure monitoring. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE2020ConferenceurlArXiv

2019

apayeartypeurlarxiv
Ullo, Silvia Liberata; Langenkamp, Maximillian S; Oikarinen, Tuomas P; Del Rosso, Maria Pia; Sebastianelli, Alessandro; Piccirillo, Federica; Sica, Stefania; . (2019). Landslide geohazard assessment with convolutional neural networks using sentinel-2 imagery data. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE2019ConferenceurlArXiv

2018

apayeartypeurlarxiv
Di Martire, Diego; Confuorto, Pierluigi; Frezza, Annalisa; Ramondini, Massimo; Lòpez, A Vàzquez; Del Rosso, Maria Pia; Sebastianelli, Alessandro; Ullo, Silvia L; . (2018). X-and C-band SAR data to monitoring ground deformations and slow-moving landslides for the 2016 Manta and Portoviejo earthquake (Manabi, Ecuador). 2018 IEEE international conference on environmental engineering (EE). IEEE2018Conferenceurl-
Ullo, SL; Angelino, CV; Cicala, L; Fiscante, N; Addabbo, P; Del Rosso, MP; Sebastianelli, A; . (2018). SAR interferometry with open Sentinel-1 data for environmental measurements: the case of Ischia earthquake. 2018 IEEE international conference on environmental engineering (EE). IEEE2018Conferenceurl-