Riccardo De Bin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 10

Top Topics

Regression Model

Variable Selection

Statistical Models

Top Venues

Briefings Bioinform.

Publications

Mathias von Ottenbreit, Riccardo De Bin
Automatic piecewise linear regression. Comput. Stat. 39 (4) (2024)
Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels
Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine. BMC Bioinform. 24 (1) (2023)
Alise Danielle Midtfjord, Riccardo De Bin, Arne Bang Huseby
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data. CoRR (2021)
Clara B. Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Erik Vanem, Riccardo De Bin
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks. CoRR (2021)
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models. BMC Bioinform. 21 (1) (2020)
Riccardo De Bin, Anne-Laure Boulesteix, Axel Benner, Natalia Becker, Willi Sauerbrei
Combining clinical and molecular data in regression prediction models: insights from a simulation study. Briefings Bioinform. 21 (6) (2020)
Heidi Seibold, Christoph Bernau, Anne-Laure Boulesteix, Riccardo De Bin
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models. Comput. Stat. 33 (3) (2018)
Riccardo De Bin, Anne-Laure Boulesteix, Willi Sauerbrei
Detection of influential points as a byproduct of resampling-based variable selection procedures. Comput. Stat. Data Anal. 116 (2017)
Anne-Laure Boulesteix, Riccardo De Bin, Xiaoyu Jiang, Mathias Fuchs
-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data. Comput. Math. Methods Medicine 2017 (2017)
Riccardo De Bin
. Comput. Stat. 31 (2) (2016)
Riccardo De Bin, Davide Risso
A novel approach to the clustering of microarray data via nonparametric density estimation. BMC Bioinform. 12 (2011)