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L. Bergamasco · SciRah

Researcher profile · Semantic Scholar

L. Bergamasco

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L. Bergamasco — researcher profile on SciRah

h-index: 9
Works: 37
Citations: 365

Most-cited papers

An overview on the use of additives and preparation procedure in phase change materials for thermal energy storage with a focus on long term applications
A. Ribezzo, G. Falciani, L. Bergamasco, Matteo Fasano +1 more
2022Journal of Energy Storage73 citations Open access
Semantic Scholar
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features
L. Bergamasco, Sudipan Saha, F. Bovolo, L. Bruzzone
2022IEEE Transactions on Geoscience and Remote Sensing42 citations Open access
Semantic Scholar
Multi-Variable Multi-Metric Optimization of Self-Assembled Photocatalytic CO2 Reduction Performance Using Machine Learning Algorithms
Shannon A. Bonke, G. Trezza, L. Bergamasco, Hong-Wei Song +4 more
2024Journal of the American Chemical Society35 citations Open access
Semantic Scholar
Minimal crystallographic descriptors of sorption properties in hypothetical MOFs and role in sequential learning optimization
G. Trezza, L. Bergamasco, Matteo Fasano, E. Chiavazzo
2021npj Computational Materials34 citations Open access
Semantic Scholar
Current trends on the use of deep learning methods for image analysis in energy applications
Mattia Casini, P. de Angelis, E. Chiavazzo, L. Bergamasco
2024Energy and AI25 citations Open access
Semantic Scholar
A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation
L. Bergamasco, F. Bovolo, L. Bruzzone
2023IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing25 citations Open access
Semantic Scholar
Unsupervised change-detection based on convolutional-autoencoder feature extraction
L. Bergamasco, Sudipan Saha, F. Bovolo, L. Bruzzone
2019Remote Sensing22 citations
Semantic Scholar
Enhancement of heat transfer through the incorporation of copper metal wool in latent heat thermal energy storage systems
A. Ribezzo, M. Morciano, G. Zsembinszki, Sara Risco Amigó +7 more
2024Renewable Energy20 citations Open access
Semantic Scholar
Experimental analysis of carbon-based Phase Change Materials composites for a fast numerical design of cold energy storage systems
A. Ribezzo, L. Bergamasco, M. Morciano, Matteo Fasano +2 more
2023Applied Thermal Engineering18 citations Open access
Semantic Scholar
AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTION
L. Bergamasco, L. Bergamasco, Sudipan Saha, Sudipan Saha +2 more
20209 citations Open access
Semantic Scholar
An Unsupervised Change Detection Technique Based on a Super-Resolution Convolutional Autoencoder
L. Bergamasco, Luca Martinatti, F. Bovolo, L. Bruzzone
20212021 IEEE International Geoscience and Remote Sensing Symposium IGARSS8 citations
Semantic Scholar
Machine Learning and image analysis towards improved energy management in Industry 4.0: a practical case study on quality control
Mattia Casini, P. de Angelis, M. Porrati, Paolo Vigo +3 more
2024Energy Efficiency7 citations Open access
Semantic Scholar
A novel concept of photosynthetic soft membranes: a numerical study
G. Falciani, L. Bergamasco, Shannon A. Bonke, Indraneel Sen +1 more
2023Discover Nano6 citations Open access
Semantic Scholar
Numerical analysis of an optimal metal wool-phase change material for thermal energy storage with exceptionally high power density
A. Ribezzo, M. Morciano, G. Zsembinszki, Saranprabhu Mani Kala +6 more
2025Applied Thermal Engineering5 citations Open access
Semantic Scholar
XChange: An Explainable Dynamic Convolutional Autoencoder for Unsupervised Change Detection
L. Bergamasco, F. Bovolo
2025IEEE Transactions on Geoscience and Remote Sensing4 citations
Semantic Scholar
Thermal conductivity enhancement in carbon black composite PCM for thermal energy storage
A. Mishra, A. Ribezzo, M. Morciano, L. Bergamasco +4 more
2025Journal of Physics, Conference Series4 citations Open access
Semantic Scholar
Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection
L. Bergamasco, F. Bovolo, L. Bruzzone
2024IEEE Transactions on Geoscience and Remote Sensing4 citations
Semantic Scholar
Design and testing of a device for the characterization of gas transfer through soap films and measurement protocol based on color matching
G. Falciani, L. Bergamasco, Agnese Amati, Gijsbert Verdoes +3 more
2023International Communications in Heat and Mass Transfer4 citations Open access
Semantic Scholar
Unsupervised change detection in multi-modal SAR images using CycleGAN
L. Bergamasco, F. Bovolo
2022Remote Sensing4 citations
Semantic Scholar
Unsupervised Building Change Detection in Multi-Modal Sar Images Using Cyclegan
L. Bergamasco, F. Bovolo
2023IEEE International Geoscience and Remote Sensing Symposium3 citations
Semantic Scholar
Realizing Symmetry-Breaking Architectures in Soap Films.
Nidhi Kaul, L. Bergamasco, Hong-Wei Song, Thijs Varkevisser +7 more
2024Physical Review Letters2 citations Open access
Semantic Scholar
Unsupervised change detection using hierarchical convolutional autoencoder
L. Bergamasco, F. Bovolo, L. Bruzzone
2020Remote Sensing2 citations
Semantic Scholar
A Multitask Framework With Cross-Task Selective Feature Sharing for Remote Sensing Image Time-Series Analysis
Milena Atanasova, L. Bergamasco, F. Bovolo
2026IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1 citations Open access
Semantic Scholar
Multi-Variable Multi-Metric Optimisation of Self-Assembled Photocatalytic CO2 Reduction Performance using Machine Learning Algorithms
Shannon A. Bonke, G. Trezza, L. Bergamasco, Hong-Wei Song +4 more
2023Proceedings of the MATSUS Spring 2024 Conference1 citations Open access
Semantic Scholar
Harnessing AI for Heat Transfer: The Potential of Physics-Informed Neural Networks (PINNs)
L. Bergamasco, M. Morciano, E. Chiavazzo
2026Journal of Physics, Conference Series0 citations Open access
Semantic Scholar
A Variational Autoencoder for Semantic Segmentation of Bimodal Image Time Series
L. Bergamasco, F. Bovolo
2026IEEE International Geoscience and Remote Sensing Symposium0 citations
Semantic Scholar
Molecular modelling of high-entropy alloys: from quantum to atomistic, and machine learning
M. Pellegrino, Mokhtar Ganjali Koli, Fabiano Tarulli, Joseph E. Arnold +6 more
2026npj Computational Materials0 citations Open access
Semantic Scholar
A Multimodal and Multitemporal Deep Learning Semantic Segmentation Method based on Variational Autoencoder for Multimodal Remote Sensing Image Time Series
L. Bergamasco, Marius Guichard, M. Dalla Mura, F. Bovolo
2026The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences0 citations Open access
Semantic Scholar
Leveraging genetic programming to analyze heat transfer and pressure drop characteristics in open-cell metal foams
Fabio Catalano, Andrea Ferrero, Matteo Fasano, L. Bergamasco
2026International Communications in Heat and Mass Transfer0 citations Open access
Semantic Scholar
Agricultural Field Crop Type Semantic Segmentation and Boundary Extraction from Sentinel-2 Time Series Using Multitask Learning with Directional Feature-Sharing
Milena Atanasova, L. Bergamasco, F. Bovolo
2026Remote Sensing0 citations Open access
Semantic Scholar
Intra- and inter-annual analysis of remote sensing time series with multitask learning
Milena Atanasova, L. Bergamasco, F. Bovolo
2025Environmental Remote Sensing0 citations
Semantic Scholar
A Preliminary Study on the Detection of Glacial Lake Outburst Flood in Norway Using Sentinel 2 Imagery
L. Bergamasco, Elena Donini, Ronja Lappe, M. Calovi +1 more
20252025 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)0 citations
Semantic Scholar
Pore-level quantitative structure-activity relationship (QSAR) for water permeation rate in aquaporins.
Juan Jos'e Galano-Frutos, L. Bergamasco, Paolo Vigo, M. Morciano +4 more
2024Biochimica et Biophysica Acta - Biomembranes0 citations Open access
Semantic Scholar
Unsupervised sparse convolutional autoencoder for multi-class change detection in hyperspectral images
L. Bergamasco, F. Bovolo
2024Environmental Remote Sensing0 citations
Semantic Scholar
Dual-Task Framework For Change Detection In Remote Sensing Image Time Series
Milena Atanasova, L. Bergamasco, F. Bovolo
2024IEEE International Geoscience and Remote Sensing Symposium0 citations
Semantic Scholar
A Multi-Scale and Multi-Physics Model of Photocatalytic Soap Film Membranes
G. Falciani, L. Bergamasco, Shannon A. Bonke, Indraneel Sen +1 more
2022Social Science Research Network0 citations Open access
Semantic Scholar
A novel deep learning data structure for multispectral remote sensing images
L. Bergamasco, F. Bovolo, L. Bruzzone
2020Remote Sensing0 citations
Semantic Scholar

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