Michele Volpi - RankMe

57 papers A* 3B 4C 12Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparative Analysis of Image-Based Deep Learning and Genomic Models for Yield and Protein Content Prediction in Winter Wheat. ICCVW Xiaoran Chen, Paraskevi Nousi, Mike Boss, Michele Volpi, Lukas Roth
2025	J	`jnl`	Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning. Int. J. Appl. Earth Obs. Geoinformation Kathrin Maier, Philipp Bernhard, Sophia Ly, Michele Volpi, Ingmar Nitze, Shiyi Li, Irena Hajnsek
2024	—	`conf`	Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate Ranking. GeoExT@ECIR Diego Gomes, Ross S. Purves, Michele Volpi
2024	J	`jnl`	Self-supervised learning unveils urban change from street-level images. Comput. Environ. Urban Syst. Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel
2023	J	`jnl`	Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria. CoRR Joaquin Gajardo, Michele Volpi, Daniel I. Onwude, Thijs Defraeye
2023	A*	`conf`	Renku: a platform for sustainable data science. NeurIPS 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, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure
2023	J	`jnl`	Self-supervised learning unveils change in urban housing from street-level images. CoRR Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel
2022	J	`jnl`	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. Ecol. Informatics Maximilian C. Hartmann, Moritz Schott, Alishiba Dsouza, Yannick Metz, Michele Volpi, Ross S. Purves
2022	J	`jnl`	Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region. CoRR Danya Li, Joaquin Gajardo, Michele Volpi, Thijs Defraeye
2022	A*	`conf`	What You See is What You Classify: Black Box Attributions. NeurIPS Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2022	J	`jnl`	What You See is What You Classify: Black Box Attributions. CoRR Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
2021	J	`jnl`	A survey of active learning algorithms for supervised remote sensing image classification. CoRR Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
2021	J	`jnl`	Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls
2020	J	`jnl`	Machine learning for cross-gazetteer matching of natural features. Int. J. Geogr. Inf. Sci. Elise Acheson, Michele Volpi, Ross S. Purves
2018	J	`jnl`	Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. IEEE Trans. Geosci. Remote. Sens. Devis Tuia, Michele Volpi, Gabriele Moser
2018	J	`jnl`	Decision fusion with multiple spatial supports by conditional random fields. CoRR Devis Tuia, Michele Volpi, Gabriele Moser
2018	J	`jnl`	Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. CoRR Michele Volpi, Devis Tuia
2018	J	`jnl`	Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis. ISPRS Int. J. Geo Inf. Jan Dirk Wegner, Ribana Roscher, Michele Volpi, Fabio Veronesi
2018	J	`jnl`	Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia
2017	J	`jnl`	Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Michele Volpi, Devis Tuia
2017	J	`jnl`	Detecting animals in African Savanna with UAVs and the crowds. CoRR Rey Nicolas, Michele Volpi, Stéphane Joost, Devis Tuia
2017	C	`conf`	Fast animal detection in UAV images using convolutional neural networks. IGARSS Benjamin Kellenberger, Michele Volpi, Devis Tuia
2017	—	`conf`	Gazetteer matching for natural features in Switzerland. GIR Elise Acheson, Julia Villette, Michele Volpi, Ross S. Purves
2017	C	`conf`	Joint height estimation and semantic labeling of monocular aerial images with CNNS. IGARSS Shivangi Srivastava, Michele Volpi, Devis Tuia
2017	—	`conf`	Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE Benjamin Kellenberger, Michele Volpi, Devis Tuia
2017	A*	`conf`	Rotation Equivariant Vector Field Networks. ICCV Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	J	`jnl`	Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks. CoRR Michele Volpi, Devis Tuia
2016	C	`conf`	Getting pixels and regions to agree with conditional random fields. IGARSS Devis Tuia, Michele Volpi, Gabriele Moser
2016	B	`conf`	Learning rotation invariant convolutional filters for texture classification. ICPR Diego Marcos, Michele Volpi, Devis Tuia
2016	J	`jnl`	Learning rotation invariant convolutional filters for texture classification. CoRR Diego Marcos, Michele Volpi, Devis Tuia
2016	J	`jnl`	Rotation equivariant vector field networks. CoRR Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	C	`conf`	Semantic labeling of aerial images by learning class-specific object proposals. IGARSS Michele Volpi, Devis Tuia
2016	C	`conf`	Solving structured segmentation of aerial images as puzzles. IGARSS Diego Marcos, Michele Volpi, Devis Tuia
2015	J	`jnl`	Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Remote. Sens. Gareth Ireland, Michele Volpi, George P. Petropoulos
2015	—	`conf`	Semantic segmentation of urban scenes by learning local class interactions. CVPR Workshops Michele Volpi, Vittorio Ferrari
2015	J	`jnl`	Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia
2015	—	`conf`	Structured prediction for urban scene semantic segmentation with geographic context. JURSE Michele Volpi, Vittorio Ferrari
2014	J	`jnl`	Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM. IEEE Trans. Geosci. Remote. Sens. Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
2014	J	`jnl`	Semi-supervised multiview embedding for hyperspectral data classification. Neurocomputing Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
2014	J	`jnl`	Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls
2014	—	`conf`	Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data. WHISPERS Michele Volpi, Devis Tuia
2014	B	`conf`	Unsupervised Alignment of Image Manifolds with Centrality Measures. ICPR Devis Tuia, Michele Volpi, Gustau Camps-Valls
2013	C	`conf`	Create the relevant spatial filterbank in the hyperspectral jungle. IGARSS Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
2013	J	`jnl`	Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis. Comput. Geosci. Michele Volpi, George P. Petropoulos, Mikhail F. Kanevski
2013	C	`conf`	Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski
2013	C	`conf`	Multi-sensor change detection based on nonlinear canonical correlations. IGARSS Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia
2013	B	`conf`	Multi-view feature extraction for hyperspectral image classification. ESANN Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
2013	C	`conf`	Multisensor alignment of image manifolds. IGARSS Devis Tuia, Maxime Trolliet, Michele Volpi
2013	J	`jnl`	Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinformation Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone
2012	B	`conf`	Discovering relevant spatial filterbanks for VHR image classification. ICPR Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy
2012	C	`conf`	Enhanced change detection using nonlinear feature extraction. IGARSS Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski
2012	J	`jnl`	Memory-Based Cluster Sampling for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Michele Volpi, Devis Tuia, Mikhail F. Kanevski
2012	J	`jnl`	Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nathan Longbotham, Fabio Pacifici, Taylor C. Glenn, Alina Zare, Michele Volpi, Devis Tuia, Emmanuel Christophe, Julien Michel, Jordi Inglada, Jocelyn Chanussot, Qian Du
2012	J	`jnl`	Unsupervised Change Detection With Kernels. IEEE Geosci. Remote. Sens. Lett. Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
2011	J	`jnl`	A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. IEEE J. Sel. Top. Signal Process. Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
2011	C	`conf`	Unsupervised change detection in the feature space using kernels. IGARSS Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
2010	C	`conf`	Advanced active sampling for remote sensing image classification. IGARSS Michele Volpi, Devis Tuia, Mikhail F. Kanevski