Get started
Author

Alessandro Sebastianelli

Observed names: A. Sebastianelli, Sebastianelli, A., Sebastianelli, Alessandro
Observed institutions: United Nations Children's Fund, World Food Programme, University of Sannio, University of Strathclyde, Nova Southeastern University, University of Pavia, European Commission, European Space Agency, University of Catania, CMCC Foundation - Euro-Mediterranean Center on Climate Change, University Niccolò Cusano, Unitelma Sapienza University, United Nations Children's Fund India, European Space Research Institute, Giustino Fortunato University, University of Naples Federico II, Universidade Nova de Lisboa, Sapienza University of Rome
ORCID: 0000-0002-9252-907X
Observed ORCID: 0000-0002-9252-907X
OpenAlex ID: A5047549712
A New Mask R-CNN-Based Method for Improved Landslide Detection
2021 · Silvia Liberata Ullo, Amrita Mohan, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 167
PDF
On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
2021 · Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 162
PDF
A reproducible ensemble machine learning approach to forecast dengue outbreaks
2024 · Alessandro Sebastianelli, Dario Spiller, et al. · Scientific Reports · 67
PDF
On-Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
2021 · Maria Pia Del Rosso, Alessandro Sebastianelli, et al. · Remote Sensing · 52
PDF
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
2021 · Daniela A. Zaidenberg, Alessandro Sebastianelli, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 52
PDF
PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal
2022 · Alessandro Sebastianelli, Erika Puglisi, et al. · IEEE Transactions on Geoscience and Remote Sensing · 39
Landslide Geohazard Assessment with Convolutional Neural Networks Using Sentinel-2 Imagery Data
2019 · S.L. Ullo, M.S. Langenkamp, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 34
PDF
Machine learning forecast of surface solar irradiance from meteo satellite data
2024 · Alessandro Sebastianelli, Federico Serva, et al. · Remote Sensing of Environment · 29
A Speckle Filter for Sentinel-1 SAR Ground Range Detected Data Based on Residual Convolutional Neural Networks
2022 · Alessandro Sebastianelli, Maria Pia Del Rosso, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 27
PDF
Automatic dataset builder for Machine Learning applications to satellite imagery
2021 · Alessandro Sebastianelli, Maria Pia Del Rosso, et al. · SoftwareX · 26
PDF
Quanv4EO: Empowering Earth Observation by Means of Quanvolutional Neural Networks
2025 · Alessandro Sebastianelli, Francesco Mauro, et al. · IEEE Transactions on Geoscience and Remote Sensing · 19
PDF
Quantum latent diffusion models
2024 · Francesca De Falco, Andrea Ceschini, et al. · Quantum Machine Intelligence · 17
PDF
Transfer Learning in Earth Observation Data Analysis: A review
2024 · Artur Nowakowski, Maria Pia Del Rosso, et al. · IEEE Geoscience and Remote Sensing Magazine · 16
Quantum Hybrid Diffusion Models for Image Synthesis
2024 · Francesca De Falco, Andrea Ceschini, et al. · Künstliche Intell. · 16
PDF
On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data
2023 · Alessandro Sebastianelli, Maria Pia Del Rosso, et al. · IEEE Geoscience and Remote Sensing Letters · 16
PDF
Artificial intelligence, machine learning and deep learning
2021 · Maria Pia Del Rosso, Silvia Liberata Ullo, et al. · Institution of Engineering and Technology eBooks · 15
A Deep Q-Learning based approach applied to the Snake game
2021 · Alessandro Sebastianelli, Massimo Tipaldi, et al. · Mediterranean Conference on Control and Automation (MED) · 15
AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures Based on Artificial Intelligence Algorithms and Multi-Source Data Processing
2021 · Alessandro Sebastianelli, Francesco Mauro, et al. · ISPRS International Journal of Geo-Information · 13
PDF
Application of Dinsar Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring
2020 · T. De Corso, L. Mignone, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 10
PDF
On hybrid quanvolutional neural networks optimization
2025 · Andrea Ceschini, Andrea Carbone, et al. · Quantum Machine Intelligence · 9
PDF
Qspecklefilter: A Quantum Machine Learning Approach for SAR Speckle Filtering
2024 · Francesco Mauro, Alessandro Sebastianelli, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 9
PDF
Deep unfolding for hyper sharpening using a high-frequency injection module
2023 · Jamila Mifdal, Marc Tomás-Cruz, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 9
SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis
2023 · Francesco Mauro, Benjamin Rich, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 8
PDF
Artificial neural network
2021 · Maria Pia Del Rosso, Silvia Liberata Ullo, et al. · Institution of Engineering and Technology eBooks · 8
A Machine Learning Approach to Long-Term Drought Prediction Using Normalized Difference Indices Computed on a Spatiotemporal Dataset
2023 · Veronica Wairimu Muriga, Benjamin Rich, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 7
PDF
Works count: 82
Citation count: 935
H-index: 15
I10-index: 19
Year
Topic
Type