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Alessandro Sebastianelli
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2020 – today
- 2024
- [j9]Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella:
Quantum latent diffusion models. Quantum Mach. Intell. 6(2): 85 (2024) - [c14]Francesco Mauro, Alessandro Sebastianelli, Maria Pia del Rosso, Paolo Gamba, Silvia Liberata Ullo:
Qspecklefilter: A Quantum Machine Learning Approach for SAR Speckle Filtering. IGARSS 2024: 450-454 - [c13]Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo:
A Hybrid MLP-Quantum Approach in Graph Convolutional Neural Networks for Oceanic Niño Index (ONI) Prediction. IGARSS 2024: 812-816 - [c12]Luigi Russo, Francesco Mauro, Babak Memar
, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
Using Multi-Temporal Sentinel-1 and Sentinel-2 Data for Water Bodies Mapping. IGARSS 2024: 1922-1926 - [i15]Luigi Russo, Francesco Mauro, Babak Memar, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping. CoRR abs/2402.00023 (2024) - [i14]Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Liberata Ullo:
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks. CoRR abs/2407.17108 (2024) - [i13]Andrea Ceschini, Francesco Mauro, Francesca De Falco, Alessandro Sebastianelli, Alessio Verdone, Antonello Rosato, Bertrand Le Saux, Massimo Panella, Paolo Gamba, Silvia Liberata Ullo:
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks. CoRR abs/2408.06524 (2024) - [i12]Luigi Russo, Francesco Mauro, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking. CoRR abs/2409.17087 (2024) - [i11]Simona Reale, Pietro Di Stasio, Francesco Mauro, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
Benchmarking of a new data splitting method on volcanic eruption data. CoRR abs/2410.06306 (2024) - [i10]Lorenzo Papa, Alessandro Sebastianelli, Gabriele Meoni, Irene Amerini:
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation. CoRR abs/2410.08677 (2024) - 2023
- [j8]Alessandro Sebastianelli
On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c11]Jamila Mifdal, Marc Tomás-Cruz, Alessandro Sebastianelli, Bartomeu Coll, Joan Duran
Deep unfolding for hyper sharpening using a high-frequency injection module. CVPR Workshops 2023: 2106-2115 - [c10]Francesco Mauro, Benjamin Rich, Veronica Wairimu Muriga, Fjoralba Janku, Alessandro Sebastianelli, Silvia Liberata Ullo:
SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis. IGARSS 2023: 297-300 - [c9]Veronica Wairimu Muriga, Benjamin Rich, Francesco Mauro, Alessandro Sebastianelli, Silvia Liberata Ullo:
A Machine Learning Approach to Long-Term Drought Prediction Using Normalized Difference Indices Computed on a Spatiotemporal Dataset. IGARSS 2023: 4927-4930 - [c8]Francesco Mauro, Luigi Russo, Fjoralba Janku, Alessandro Sebastianelli, Silvia Liberata Ullo:
Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting. MetroXRAINE 2023: 1116-1121 - 2022
- [j7]Alessandro Sebastianelli
On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 565-580 (2022) - [j6]Alessandro Sebastianelli
A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5086-5101 (2022) - [j5]Alessandro Sebastianelli
PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c7]Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Fabrizio Passarini, Marco Carminati, Silvia Liberata Ullo:
A Decision Support System Based on Machine Learning to Counteract Covid-Like Pandemic Events. IGARSS 2022: 4486-4489 - [c6]Pietro Di Stasio, Alessandro Sebastianelli, Gabriele Meoni, Silvia Liberata Ullo:
Early Detection of Volcanic Eruption through Artificial Intelligence on board. MetroXRAINE 2022: 714-718 - [c5]Maria Pia del Rosso
A demo setup testing onboard CNNs for Volcanic Eruption Detection. MetroXRAINE 2022: 719-724 - 2021
- [j4]Alessandro Sebastianelli
AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing. ISPRS Int. J. Geo Inf. 10(1): 34 (2021) - [j3]Maria Pia del Rosso
On-Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery. Remote. Sens. 13(17): 3479 (2021) - [j2]Alessandro Sebastianelli
Automatic dataset builder for Machine Learning applications to satellite imagery. SoftwareX 15: 100739 (2021) - [j1]Silvia Liberata Ullo
A New Mask R-CNN-Based Method for Improved Landslide Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3799-3810 (2021) - [c4]Daniela Alessandra Zaidenberg, Alessandro Sebastianelli
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. IGARSS 2021: 5680-5683 - [c3]Alessandro Sebastianelli
A Deep Q-Learning based approach applied to the Snake game. MED 2021: 348-353 - [i9]Daniela Alessandra Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Silvia Liberata Ullo:
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. CoRR abs/2101.10657 (2021) - [i8]Alessandro Sebastianelli, Maria Pia del Rosso, Silvia Liberata Ullo:
A SAR speckle filter based on Residual Convolutional Neural Networks. CoRR abs/2104.09350 (2021) - [i7]Alessandro Sebastianelli, Maria Pia del Rosso, Pierre-Philippe Mathieu, Silvia Liberata Ullo:
Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification. CoRR abs/2106.11056 (2021) - [i6]Alessandro Sebastianelli, Artur Nowakowski, Erika Puglisi, Maria Pia del Rosso, Jamila Mifdal, Fiora Pirri, Pierre-Philippe Mathieu, Silvia Liberata Ullo:
Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal. CoRR abs/2106.12226 (2021) - [i5]Maria Pia del Rosso, Alessandro Sebastianelli, Dario Spiller, Pierre-Philippe Mathieu, Silvia Liberata Ullo:
On-board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery. CoRR abs/2106.15281 (2021) - [i4]Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo:
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. CoRR abs/2109.09484 (2021) - 2020
- [c2]T. De Corso, Luca Mignone, Alessandro Sebastianelli
Application of Dinsar Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring. IGARSS 2020: 4235-4238 - [i3]Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ejaz Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh Ram Sinha:
A New Mask R-CNN Based Method for Improved Landslide Detection. CoRR abs/2010.01499 (2020) - [i2]Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Fabrizio Passarini, Marco Carminati, Silvia Liberata Ullo:
AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures based on Artificial Intelligence algorithms and multi-sources Data Processing. CoRR abs/2011.05808 (2020)
2010 – 2019
- 2019
- [c1]Silvia Liberata Ullo
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data. IGARSS 2019: 9646-9649 - [i1]Silvia Liberata Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen, Maria P. del Rosso, Alessandro Sebastianelli, Federica Piccirillo, Stefania Sica:
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data. CoRR abs/1906.06151 (2019)
Coauthor Index
aka: Maria Pia del Rosso
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last updated on 2024-12-11 21:42 CET by the dblp team
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