Riccardo De Bin
Orcid: 0000-0002-7441-6880
According to our database1,
Riccardo De Bin
authored at least 12 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2024
GPTreeO: An R package for continual regression with dividing local Gaussian processes.
CoRR, 2024
2023
Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine.
BMC Bioinform., December, 2023
2021
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data.
CoRR, 2021
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks.
CoRR, 2021
2020
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
BMC Bioinform., 2020
Combining clinical and molecular data in regression prediction models: insights from a simulation study.
Briefings Bioinform., 2020
2018
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models.
Comput. Stat., 2018
2017
Detection of influential points as a byproduct of resampling-based variable selection procedures.
Comput. Stat. Data Anal., 2017
IPF-LASSO: Integrative L<sup>1</sup>-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data.
Comput. Math. Methods Medicine, 2017
2016
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages <i>CoxBoost</i> and <i>mboost</i>.
Comput. Stat., 2016
2011
A novel approach to the clustering of microarray data via nonparametric density estimation.
BMC Bioinform., 2011