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ORCIDRaimon Tolosana-Delgado
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2020 – today
- 2024
[j12]Ahmed J. Afifi
, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann:
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- 2023
- [j11]Hilmar von Eynatten, István Dunkl, Raimon Tolosana-Delgado:
Association Announcement 2023 Felix Chayes Prize. Comput. Geosci. 179: 105411 (2023) - [i1]Ahmed J. Afifi, Samuel T. Thiele, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann:
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. CoRR abs/2305.09928 (2023) - 2022
- [j10]Frédéric Ouimet, Raimon Tolosana-Delgado:
Asymptotic properties of Dirichlet kernel density estimators. J. Multivar. Anal. 187: 104832 (2022) - [j9]Roberto De La Rosa, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen:
Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data. Remote. Sens. 14(11): 2676 (2022) - 2020
- [j8]Kasra Rafiezadeh Shahi, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Raimon Tolosana-Delgado, Richard Gloaguen:
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis. Remote. Sens. 12(15): 2421 (2020) - [j7]Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Richard Gloaguen:
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4214-4228 (2020)
2010 – 2019
- 2019
- [j6]Hassan Talebi, Ute A. Mueller, Raimon Tolosana-Delgado:
Joint simulation of compositional and categorical data via direct sampling technique - Application to improve mineral resource confidence. Comput. Geosci. 122: 87-102 (2019) - [c2]Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Christina Loidolt, Raimon Tolosana-Delgado, Richard Gloaguen:
Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping. WHISPERS 2019: 1-4 - [c1]Kasra Rafiezadeh Shahi, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Laura Tusa, Richard Gloaguen:
The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining. WHISPERS 2019: 1-5 - 2011
- [j5]Raimon Tolosana-Delgado, Juan José Egozcue, Agustín Sáchez-Arcilla, Jesús Gómez:
Wave height data assimilation using non-stationary kriging. Comput. Geosci. 37(3): 363-370 (2011) - [j4]R. Tolosana-Delgado, Hilmar von Eynatten, Volker Karius:
Constructing modal mineralogy from geochemical composition: A geometric-Bayesian approach. Comput. Geosci. 37(5): 677-691 (2011) - 2010
- [j3]Oriol Falivene, Lluís Cabrera, Raimon Tolosana-Delgado, Alberto Sáez:
Interpolation algorithm ranking using cross-validation and the role of smoothing effect. A coal zone example. Comput. Geosci. 36(4): 512-519 (2010) - [j2]R. Tolosana-Delgado, Hilmar von Eynatten:
Simplifying compositional multiple regression: Application to grain size controls on sediment geochemistry. Comput. Geosci. 36(5): 577-589 (2010)
2000 – 2009
- 2008
- [j1]K. Gerald van den Boogaart, R. Tolosana-Delgado:
"compositions": A unified R package to analyze compositional data. Comput. Geosci. 34(4): 320-338 (2008)
Coauthor Index
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