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Guignard, Fabian
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1

Some combinatorics of data leakage induced by clusters:

Guignard, Fabian ; Ginsbourger, David ; Levy Häner, Lilia.
Stochastic Environmental Research and Risk Assessment.  38 (2024)  7 - p. 2815-2828 , 2024
Link: https://doi.org/10.1007/..
 
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2

Spatio-Temporal Prediction with Machine Learning:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 81-95 , 2022
Link: https://doi.org/10.1007/..
 
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3

On Spatio-Temporal Data Modelling and Uncertainty Quantific.. 

Springer Theses, Recognizing Outstanding Ph.D. Research
Guignard, Fabian - 1st ed. 2022 . , 2022
Link: https://doi.org/10.1007/..
 
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4

Spatiotemporal data science: theoretical advances and appli..:

Amato, Federico ; Lombardo, Luigi ; Tonini, Marj...
Stochastic Environmental Research and Risk Assessment.  36 (2022)  8 - p. 2027-2029 , 2022
Link: https://doi.org/10.1007/..
 
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5

Conclusions, Perspectives and Recommendations:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 151-158 , 2022
Link: https://doi.org/10.1007/..
 
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6

Spatio-temporal estimation of wind speed and wind power usi..:

Amato, Federico ; Guignard, Fabian ; Walch, Alina...
Stochastic Environmental Research and Risk Assessment.  36 (2022)  8 - p. 2049-2069 , 2022
Link: https://doi.org/10.1007/..
 
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7

Uncertainty Quantification with Extreme Learning Machine:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 97-128 , 2022
Link: https://doi.org/10.1007/..
 
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8

Spatio-Temporal Modelling Using Extreme Learning Machine:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 129-150 , 2022
Link: https://doi.org/10.1007/..
 
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9

Study Area and Data Sets:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 17-38 , 2022
Link: https://doi.org/10.1007/..
 
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10

Advanced Exploratory Data Analysis:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 39-53 , 2022
Link: https://doi.org/10.1007/..
 
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11

Introduction:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 1-15 , 2022
Link: https://doi.org/10.1007/..
 
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12

Fisher-Shannon Analysis:

, In: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory; Springer Theses,
Guignard, Fabian - p. 55-79 , 2022
Link: https://doi.org/10.1007/..
 
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13

Uncertainty quantification in extreme learning machine: Ana..:

Guignard, Fabian ; Amato, Federico ; Kanevski, Mikhail
Neurocomputing.  456 (2021)  - p. 436-449 , 2021
Link: https://doi.org/10.1016/..
 
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14

Analysis of temporal properties of extremes of wind measure..:

Telesca, Luciano ; Guignard, Fabian ; Laib, Mohamed.
Renewable Energy.  145 (2020)  - p. 1091-1103 , 2020
Link: https://doi.org/10.1016/..
 
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15

Analysis of air pollution time series using complexity-inva..:

Amato, Federico ; Laib, Mohamed ; Guignard, Fabian.
Physica A: Statistical Mechanics and its Applications.  547 (2020)  - p. 124391 , 2020
Link: https://doi.org/10.1016/..
 
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