Advanced active sampling for remote sensing image classification. - Michele Volpi; Devis Tuia; Mikhail F. Kanevski (IGARSS, 2010)

Unsupervised change detection in the feature space using kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IGARSS, 2011)

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. - Devis Tuia; Michele Volpi; Loris Copa; Mikhail F. Kanevski; Jordi Muñoz-Marí (IEEE J. Sel. Top. Signal Process., 2011)

Discovering relevant spatial filterbanks for VHR image classification. - Devis Tuia; Mauro Dalla Mura; Michele Volpi; Rémi Flamary; Alain Rakotomamonjy (ICPR, 2012)

Enhanced change detection using nonlinear feature extraction. - Michele Volpi; Giona Matasci; Devis Tuia; Mikhail F. Kanevski (IGARSS, 2012)

Unsupervised Change Detection With Kernels. - Michele Volpi; Devis Tuia; Gustavo Camps-Valls; Mikhail F. Kanevski (IEEE Geosci. Remote. Sens. Lett., 2012)

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest. - Nathan Longbotham; Fabio Pacifici; Taylor C. Glenn; Alina Zare; Michele Volpi; Devis Tuia; Emmanuel Christophe; Julien Michel; Jordi Inglada; Jocelyn Chanussot; Qian Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Memory-Based Cluster Sampling for Remote Sensing Image Classification. - Michele Volpi; Devis Tuia; Mikhail F. Kanevski (IEEE Trans. Geosci. Remote. Sens., 2012)

Multi-view feature extraction for hyperspectral image classification. - Michele Volpi; Giona Matasci; Mikhail F. Kanevski; Devis Tuia (ESANN, 2013)

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. - Giona Matasci; Lorenzo Bruzzone; Michele Volpi; Devis Tuia; Mikhail F. Kanevski (ICPRAM, 2013)

Multisensor alignment of image manifolds. - Devis Tuia; Maxime Trolliet; Michele Volpi (IGARSS, 2013)

Create the relevant spatial filterbank in the hyperspectral jungle. - Devis Tuia; Michele Volpi; Mauro Dalla Mura; Alain Rakotomamonjy; Rémi Flamary (IGARSS, 2013)

Multi-sensor change detection based on nonlinear canonical correlations. - Michele Volpi; Frank de Morsier; Gustavo Camps-Valls; Mikhail F. Kanevski; Devis Tuia (IGARSS, 2013)

Supervised change detection in VHR images using contextual information and support vector machines. - Michele Volpi; Devis Tuia; Francesca Bovolo; Mikhail F. Kanevski; Lorenzo Bruzzone (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis. - Michele Volpi; George P. Petropoulos; Mikhail F. Kanevski (Comput. Geosci., 2013)

Unsupervised Alignment of Image Manifolds with Centrality Measures. - Devis Tuia; Michele Volpi; Gustau Camps-Valls (ICPR, 2014)

Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data. - Michele Volpi; Devis Tuia (WHISPERS, 2014)

Semi-supervised multiview embedding for hyperspectral data classification. - Michele Volpi; Giona Matasci; Mikhail F. Kanevski; Devis Tuia (Neurocomputing, 2014)

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM. - Devis Tuia; Michele Volpi; Mauro Dalla Mura; Alain Rakotomamonjy; Rémi Flamary (IEEE Trans. Geosci. Remote. Sens., 2014)

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. - Devis Tuia; Michele Volpi; Maxime Trolliet; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2014)

Semantic segmentation of urban scenes by learning local class interactions. - Michele Volpi; Vittorio Ferrari (CVPR Workshops, 2015)

Structured prediction for urban scene semantic segmentation with geographic context. - Michele Volpi; Vittorio Ferrari (JURSE, 2015)

Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. - Gareth Ireland; Michele Volpi; George P. Petropoulos (Remote. Sens., 2015)

Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. - Giona Matasci; Michele Volpi; Mikhail F. Kanevski; Lorenzo Bruzzone; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2015)

Learning rotation invariant convolutional filters for texture classification. - Diego Marcos; Michele Volpi; Devis Tuia (ICPR, 2016)

Solving structured segmentation of aerial images as puzzles. - Diego Marcos; Michele Volpi; Devis Tuia (IGARSS, 2016)

Getting pixels and regions to agree with conditional random fields. - Devis Tuia; Michele Volpi; Gabriele Moser (IGARSS, 2016)

Semantic labeling of aerial images by learning class-specific object proposals. - Michele Volpi; Devis Tuia (IGARSS, 2016)

Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks. - Michele Volpi; Devis Tuia (CoRR, 2016)

Gazetteer matching for natural features in Switzerland. - Elise Acheson; Julia Villette; Michele Volpi; Ross S. Purves (GIR, 2017)

Rotation Equivariant Vector Field Networks. - Diego Marcos; Michele Volpi; Nikos Komodakis; Devis Tuia (ICCV, 2017)

Fast animal detection in UAV images using convolutional neural networks. - Benjamin Kellenberger; Michele Volpi; Devis Tuia (IGARSS, 2017)

Joint height estimation and semantic labeling of monocular aerial images with CNNS. - Shivangi Srivastava; Michele Volpi; Devis Tuia (IGARSS, 2017)

Learning class- and location-specific priors for urban semantic labeling with CNNs. - Benjamin Kellenberger; Michele Volpi; Devis Tuia (JURSE, 2017)

Detecting animals in African Savanna with UAVs and the crowds. - Rey Nicolas; Michele Volpi; Stéphane Joost; Devis Tuia (CoRR, 2017)

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. - Michele Volpi; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2017)

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. - Diego Marcos; Michele Volpi; Benjamin Kellenberger; Devis Tuia (CoRR, 2018)

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. - Michele Volpi; Devis Tuia (CoRR, 2018)

Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis. - Jan Dirk Wegner; Ribana Roscher; Michele Volpi; Fabio Veronesi (ISPRS Int. J. Geo Inf., 2018)

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. - Devis Tuia; Michele Volpi; Gabriele Moser (IEEE Trans. Geosci. Remote. Sens., 2018)

Machine learning for cross-gazetteer matching of natural features. - Elise Acheson; Michele Volpi; Ross S. Purves (Int. J. Geogr. Inf. Sci., 2020)

What You See is What You Classify: Black Box Attributions. - Steven Stalder; Nathanaël Perraudin; Radhakrishna Achanta; Fernando Pérez-Cruz; Michele Volpi (NeurIPS, 2022)

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region. - Danya Li; Joaquin Gajardo; Michele Volpi; Thijs Defraeye (CoRR, 2022)

A text and image analysis workflow using citizen science data to extract relevant social media records: Combining red kite observations from Flickr, eBird and iNaturalist. - Maximilian C. Hartmann; Moritz Schott; Alishiba Dsouza; Yannick Metz; Michele Volpi; Ross S. Purves (Ecol. Informatics, 2022)

Renku: a platform for sustainable data science. - Rok Roskar; Chandrasekhar Ramakrishnan; Michele Volpi; Fernando Pérez-Cruz; Lilian Gasser; Firat Ozdemir; Patrick Paitz; Mohammad Alisafaee; Philipp Fischer; Ralf Grubenmann; Eliza J. Harris; Tasko Olevski; et al. (NeurIPS, 2023)

Self-supervised learning unveils change in urban housing from street-level images. - Steven Stalder; Michele Volpi; Nicolas Büttner; Stephen Law; Kenneth Harttgen; Esra Suel (CoRR, 2023)

Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria. - Joaquin Gajardo; Michele Volpi; Daniel I. Onwude; Thijs Defraeye (CoRR, 2023)

Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate Ranking. - Diego Gomes; Ross S. Purves; Michele Volpi (GeoExT@ECIR, 2024)

Self-supervised learning unveils urban change from street-level images. - Steven Stalder; Michele Volpi; Nicolas Büttner; Stephen Law; Kenneth Harttgen; Esra Suel (Comput. Environ. Urban Syst., 2024)

Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning. - Kathrin Maier; Philipp Bernhard; Sophia Ly; Michele Volpi; Ingmar Nitze; Shiyi Li; Irena Hajnsek (Int. J. Appl. Earth Obs. Geoinformation, 2025)