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Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

Mathematical geosciences, 2014-01, Vol.46 (1), p.33-57

2014

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Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks

Remote sensing (Basel, Switzerland), 2018-06, Vol.10 (6), p.939

2018

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Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Geoscientific Model Development, 2019-10, Vol.12 (10), p.4185-4219

2019

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A Reduced-Space Ensemble Kalman Filter Approach for Flow-Dependent Integration of Radar Extrapolation Nowcasts and NWP Precipitation Ensembles

Monthly weather review, 2019-03, Vol.147 (3), p.987-1006

2019

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A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

Hydrology and earth system sciences, 2017-06, Vol.21 (6), p.2777-2797

2017

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A 10‐year radar‐based analysis of orographic precipitation growth and decay patterns over the Swiss Alpine region

Quarterly journal of the Royal Meteorological Society, 2018-10, Vol.144 (716), p.2277-2301

2018

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Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach

Weather and forecasting, 2019-10, Vol.34 (5), p.1547-1569

2019

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Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks

International journal of climatology, 2013-06, Vol.33 (7), p.1793-1804

2013

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On the spatial distribution of rainfall nowcasting errors due to orographic forcing

Meteorological applications, 2015-01, Vol.22 (1), p.60-74

2015

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A quest for precipitation attractors in weather radar archives

Nonlinear processes in geophysics, 2024-06, Vol.31 (2), p.259-286

2024

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ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data

Atmospheric measurement techniques, 2024-08, Vol.17 (16), p.4891-4914

2024

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Exploration of alpine orographic precipitation patterns with radar image processing and clustering techniques

Meteorological applications, 2012-12, Vol.19 (4), p.407-419

2012

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Retrieval of analogue radar images for ensemble nowcasting of orographic rainfall

Meteorological applications, 2015-04, Vol.22 (2), p.141-155

2015

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Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps

Atmospheric measurement techniques, 2020-05, Vol.13 (5), p.2481-2500

2020

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Learning wind fields with multiple kernels

Stochastic environmental research and risk assessment, 2011, Vol.25 (1), p.51-66

2011

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Kernel-B ased Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar

IEEE transactions on geoscience and remote sensing, 2012, Vol.50 (8), p.2954-2967

2012

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Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar

IEEE transactions on geoscience and remote sensing, 2012-08, Vol.50 (8), p.2954-2967

2012

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Data-driven topo-climatic mapping with machine learning methods

Natural hazards (Dordrecht), 2009-09, Vol.50 (3), p.497-518

2009

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Active learning for monitoring network optimization

Spatio-Temporal Design, 2012, p.285-318

2012

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Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms

geoENV VII – Geostatistics for Environmental Applications, 2010, p.41-52

2010

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Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields

Artificial Neural Networks – ICANN 2009, 2009, p.933-943

2009

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Advanced Mapping of Environmental Spatial Data: Case Studies

Advanced Mapping of Environmental Data, 2008, p.149-246

2008

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Guillain-Barré syndrome and COVID-19: an observational multicentre study from two Italian hotspot regions

Journal of neurology, neurosurgery and psychiatry, 2021-07, Vol.92 (7), p.751-756

2021

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Guillain‐Barré syndrome and COVID‐19: A 1‐year observational multicenter study

European journal of neurology, 2022-11, Vol.29 (11), p.3358-3367

2022

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The synergistic effect of organic acids, phytochemicals and a permeabilizing complex reduces Salmonella Typhimurium 1,4,[5],12:i-shedding in pigs

Veterinary research communications, 2018-09, Vol.42 (3), p.209-217

2018

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Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

A Reduced-Space Ensemble Kalman Filter Approach for Flow-Dependent Integration of Radar Extrapolation Nowcasts and NWP Precipitation Ensembles

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

A 10‐year radar‐based analysis of orographic precipitation growth and decay patterns over the Swiss Alpine region

Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach

Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks

On the spatial distribution of rainfall nowcasting errors due to orographic forcing

A quest for precipitation attractors in weather radar archives

ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data

Exploration of alpine orographic precipitation patterns with radar image processing and clustering techniques

Retrieval of analogue radar images for ensemble nowcasting of orographic rainfall

Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps

Learning wind fields with multiple kernels

Kernel-B ased Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar

Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar

Data-driven topo-climatic mapping with machine learning methods

Active learning for monitoring network optimization

Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms

Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields

Advanced Mapping of Environmental Spatial Data: Case Studies

Guillain-Barré syndrome and COVID-19: an observational multicentre study from two Italian hotspot regions

Guillain‐Barré syndrome and COVID‐19: A 1‐year observational multicenter study

The synergistic effect of organic acids, phytochemicals and a permeabilizing complex reduces Salmonella Typhimurium 1,4,[5],12:i-shedding in pigs

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