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Journal Articles
- 2024
[j9]Pavel Krupskii
, Raphaël Huser:
Max-convolution processes with random shape indicator kernels. J. Multivar. Anal. 203: 105340 (2024)- [j8]Silius M. Vandeskog, Sara Martino, Raphaël Huser:
An efficient workflow for modelling high-dimensional spatial extremes. Stat. Comput. 34(4): 137 (2024) - [j7]Yan Gong, Peng Zhong, Thomas Opitz, Raphaël Huser:
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning. Technometrics 66(3): 331-346 (2024) - 2023
- [j6]Mahnoor Ahmed, Hakan Tanyas, Raphaël Huser, Ashok Dahal, Giacomo Titti, Lisa Borgatti, Mirko Francioni, Luigi Lombardo:
Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system. Int. J. Appl. Earth Obs. Geoinformation 125: 103593 (2023) - 2020
- [j5]Tanvir Alam, Meshari Alazmi, Rayan Naser, Franceline Huser, Afaque A. Momin, Veronica Astro, SeungBeom Hong, Katarzyna W. Walkiewicz, Christian G. Canlas, Raphaël Huser, Amal J. Ali, Jasmeen Merzaban, Antonio Adamo, Mariusz Jaremko, Lukasz Jaremko, Vladimir B. Bajic, Xin Gao, Stefan T. Arold:
Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinform. 36(4): 1121-1128 (2020) - 2018
- [j4]Marius Hofert, Raphaël Huser, Avinash Prasad:
Hierarchical Archimax copulas. J. Multivar. Anal. 167: 195-211 (2018) - [j3]Sabrina Vettori, Raphaël Huser, Marc G. Genton:
A comparison of dependence function estimators in multivariate extremes. Stat. Comput. 28(3): 525-538 (2018) - 2017
- [j2]Daniela Castro Camilo, Luigi Lombardo, P. Martin Mai, Jie Dou, Raphaël Huser:
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model. Environ. Model. Softw. 97: 145-156 (2017) - 2016
- [j1]Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton:
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid 7(5): 2448-2455 (2016)
Informal and Other Publications
- 2024
- [i4]Ashok Dahal, Raphaël Huser, Luigi Lombardo:
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition. CoRR abs/2401.14210 (2024) - [i3]Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël Huser:
Neural Methods for Amortised Parameter Inference. CoRR abs/2404.12484 (2024) - 2023
- [i2]Likun Zhang, Xiaoyu Ma, Christopher K. Wikle, Raphaël Huser:
Flexible and efficient spatial extremes emulation via variational autoencoders. CoRR abs/2307.08079 (2023) - 2022
- [i1]Jordan Richards, Raphaël Huser:
A unifying partially-interpretable framework for neural network-based extreme quantile regression. CoRR abs/2208.07581 (2022)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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