Riccardo De Bin

Orcid: 0000-0002-7441-6880

According to our database1, Riccardo De Bin authored at least 10 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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


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