Riccardo De Bin

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Automatic piecewise linear regression.
Comput. Stat.
Mathias von Ottenbreit, Riccardo De Bin
2024 J jnl
GPTreeO: An R package for continual regression with dividing local Gaussian processes.
CoRR
Timo Braun, Anders Kvellestad, Riccardo De Bin
2023 J jnl
Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine.
BMC Bioinform.
Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels
2021 J jnl
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data.
CoRR
Alise Danielle Midtfjord, Riccardo De Bin, Arne Bang Huseby
2021 J jnl
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks.
CoRR
Clara B. Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Erik Vanem, Riccardo De Bin
2020 J jnl
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.
BMC Bioinform.
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels
2020 J jnl
Combining clinical and molecular data in regression prediction models: insights from a simulation study.
Briefings Bioinform.
Riccardo De Bin, Anne-Laure Boulesteix, Axel Benner, Natalia Becker, Willi Sauerbrei
2018 J jnl
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models.
Comput. Stat.
Heidi Seibold, Christoph Bernau, Anne-Laure Boulesteix, Riccardo De Bin
2017 J jnl
Detection of influential points as a byproduct of resampling-based variable selection procedures.
Comput. Stat. Data Anal.
Riccardo De Bin, Anne-Laure Boulesteix, Willi Sauerbrei
2017 J jnl
IPF-LASSO: Integrative L
Comput. Math. Methods Medicine
Anne-Laure Boulesteix, Riccardo De Bin, Xiaoyu Jiang, Mathias Fuchs
2016 J jnl
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages
Comput. Stat.
Riccardo De Bin
2011 J jnl
A novel approach to the clustering of microarray data via nonparametric density estimation.
BMC Bioinform.
Riccardo De Bin, Davide Risso