| 2023 | ICASSP | Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning. | Andrea Marinoni, Marine Mercier, Qian Shi, Sivasakthy Selvakumaran, Mark Girolami |
| 2022 | IGARSS | Impacts of Gas Flaring to the Vegetation Changes in West Siberia Area and Timan Pechora Basins. | Yubao Qiu, Feng Xiahou, Guoqiang Jia, Andrea Marinoni, Qinghuan Li, Huadong Guo |
| 2022 | IGARSS | Remote Sensing for Search and Rescue Operations: Two Methods Studying the 2020 Beirut Blast. | Sivasakthy Selvakumaran, Iain Rolland, Luke Cullen, Andrea Marinoni |
| 2021 | CIKM | Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples. | Iain Rolland, Andrea Marinoni, Sivasakthy Selvakumaran |
| 2021 | CIKM | On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. | Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni |
| 2021 | IGARSS | A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery. | Habib Ullah, Salman Khaleghian, Thomas Krmer, Torbjrn Eltoft, Andrea Marinoni |
| 2021 | IGARSS | Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization. | Eduard Khachatrian, Saloua Chlaily, Torbjrn Eltoft, Paolo Gamba, Andrea Marinoni |
| 2021 | IGARSS | Structural Health Monitoring on Urban Areas by Using Multi Temporal Insar and Deep Learning. | Gabriel Martn, Sivasakthy Selvakumaran, Andrea Marinoni, Zahra Sadeghi, Campbell R. Middleton |
| 2020 | IGARSS | Addressing Reliability of Multimodal Remote Sensing to Enhance Multisensor Data Fusion and Transfer Learning. | Andrea Marinoni, Saloua Chlaily, Christian Jutten |
| 2020 | IGARSS | On the Optimal Design of Convolutional Neural Networks for Earth Observation Data Analysis by Maximization of Information Extraction. | Andrea Marinoni, Gianni Cristian Iannelli, Salman Khaleghian, Paolo Gamba |
| 2019 | IGARSS | Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR. | Andrea Marinoni, Martine Mostervik Espeseth, Paolo Gamba, Camilla Brekke, Torbjrn Eltoft |
| 2019 | IGARSS | Mapping Mineral Abundances on the Moon Surface using Chang'E-1 IIM Data. | David Marzi, Andrea Marinoni, Paolo Gamba |
| 2018 | IGARSS | Deep Auto-Encoder Network for Hyperspectral Image Unmixing. | Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Yuancheng Huang |
| 2018 | IGARSS | Structural Optimization For Accurate Characterization Of Urban Areas In Hyperspectral Datasets. | Andrea Marinoni, Paolo Gamba |
| 2018 | IGARSS | Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction. | Andrea Marinoni, Paolo Gamba, Daniele De Vecchi, Devis Tuia |
| 2017 | IGARSS | Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images. | Yuanchao Su, Andrea Marinoni, Jun Li, Antonio Plaza, Paolo Gamba |
| 2017 | IGARSS | Nonlinear hyperspectral unmixing based on normalized P-linear algorithm. | Maofeng Tang, Lianru Gao, Andrea Marinoni, Bing Zhang |
| 2017 | IGARSS | On the direct assessment of endmember fractions in hyperspectral images. | Andrea Marinoni, Paolo Gamba |
| 2016 | IGARSS | On the detection of linear mixtures in hyperspectral images. | Andrea Marinoni, Antonio J. Plaza, Paolo Gamba |
| 2015 | IGARSS | Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case. | Andrea Marinoni, Arianna Dagliati, Riccardo Bellazzi, Paolo Gamba |
| 2015 | IGARSS | Nonlinear endmember extraction in earth observations and astroinformatics data interpretation and compression. | Andrea Marinoni, Paolo Gamba |
| 2011 | GLOBECOM | On q-ary LDPC Code Design for a Low Error Floor. | Andrea Marinoni, Pietro Savazzi, Richard D. Wesel |