| 2026 | EDBT | Rethinking HyperSpectral Image Classification (HSIC) Benchmark with Explainability (xAI) under a Causal Estimation Perspective. | Skou Dabo, Michele Linardi, Claudia Paris |
| 2024 | IGARSS | A Data-Driven Approach for Estimating Regional Food Flows Fusing Earth Observation and Geospatial Data. | Claudia Paris, Manuka Khan, Marco Cattaneo, Yue Dou |
| 2024 | IGARSS | Enhancing Land Cover Mapping: A Novel Automatic Approach To Improve Mixed Spectral Pixel Classification. | Surbhi Sharma, Rocco Sedona, Morris Riedel, Gabriele Cavallaro, Claudia Paris |
| 2024 | IGARSS | EO-Derived Geospatial Data for Monitoring Food and Nutrition Security: A Case Study of Rwanda. | Belise Dusabe, Yue Dou, Rhys Manners, Claudia Paris |
| 2023 | EDBT | ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning. | Florian Appel, Heike Bach, Silke Migdall, Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Despina-Athanasia Pantazi, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann |
| 2023 | IGARSS | Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping. | Rocco Sedona, Jan Ebert, Claudia Paris, Morris Riedel, Gabriele Cavallaro |
| 2023 | IGARSS | End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. | Liang Tian, Rocco Sedona, Amirpasha Mozaffari, Enxhi Kreshpa, Claudia Paris, Morris Riedel, Martin G. Schultz, Gabriele Cavallaro |
| 2023 | IGARSS | Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series. | Adel Abbas, Michele Linardi, Etienne Vareille, Vassilis Christophides, Claudia Paris |
| 2022 | IGARSS | A Novel Approach for Environmental Monitoring Based on the Integration of Multi-Temporal Multi-Source Earth Observation Data and Field Surveys in a Spatio-Temporal Framework. | Claudia Paris, Martyna M. Kotowska, Stefan Erasmi, Michael Schlund |
| 2022 | IGARSS | An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory. | Rocco Sedona, Claudia Paris, Liang Tian, Morris Riedel, Gabriele Cavallaro |
| 2021 | IGARSS | An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale. | Iwona Podsiadlo, Claudia Paris, Lorenzo Bruzzone |
| 2019 | EDBT | From Copernicus Big Data to Extreme Earth Analytics. | Manolis Koubarakis, Konstantina Bereta, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Jim Dowling, Seif Haridi, Vladimir Vlassov, Lorenzo Bruzzone, Claudia Paris, Torbjrn Eltoft, Thomas Krmer, Angelos Charalambidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian Appel, Heike Bach, Silke Migdall, Nick Hughes, David Arthurs, Andrew Fleming |
| 2019 | IGARSS | Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. | Claudia Paris, Lorenzo Bruzzone |
| 2019 | IGARSS | An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. | Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone |
| 2018 | IGARSS | A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images. | Claudia Paris, Lorenzo Bruzzone, Diego Fernndez-Prieto |
| 2018 | IGARSS | Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. | Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone |
| 2017 | IGARSS | A hierarchical approach to superresolution of multispectral images with different spatial resolutions. | Claudia Paris, Jos M. Bioucas-Dias, Lorenzo Bruzzone |
| 2017 | IGARSS | A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images. | Claudia Paris, Lorenzo Bruzzone, Diego Fernndez-Prieto |
| 2016 | IGARSS | A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data. | Claudia Paris, Lorenzo Bruzzone |
| 2016 | IGARSS | Fusion of high and very high density LiDAR data for 3D forest change detection. | Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone |
| 2015 | IGARSS | A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data. | Claudia Paris, David Kelbe, Jan van Aardt, Lorenzo Bruzzone |
| 2015 | IGARSS | A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data. | Claudia Paris, Davide Valduga, Lorenzo Bruzzone |
| 2014 | IGARSS | A sensor-driven domain adaptation method for the classification of remote sensing images. | Claudia Paris, Lorenzo Bruzzone |
| 2013 | IGARSS | A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images. | Claudia Paris, Lorenzo Bruzzone |