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Automated Author Profile

Innocenti, Federico

Current S-Index

14.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

14

Total datasets for this author

Average FAIR Score

46.3%

Average FAIR Score per dataset

Total Citations

10

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Gatekeeping General Practice, Specialists, and Health Sector Efficiency

Replication package

Authors

  • Innocenti, Federico
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/xmg7rzhtpg.1October 2024

Gatekeeping General Practice, Specialists, and Health Sector Efficiency

Replication package

Authors

  • Innocenti, Federico
0 Citations0 Mentions65% FAIR1.4 Dataset Index
10.17632/xmg7rzhtpgOctober 2024

Additional file 2 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script verifying the accuracy of the fastJT package results compared to the examples in the literature. (R 1 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.8275877.v1January 2019

Additional file 3 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script performing the benchmarking of the fastJT algorithm reported in this paper. (R 3 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions85% FAIR1.3 Dataset Index
10.6084/m9.figshare.8275883January 2019

Additional file 3 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script performing the benchmarking of the fastJT algorithm reported in this paper. (R 3 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.8275883.v1January 2019

Additional file 4 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script for comparing the empirical rejection rates between the JT method and the linear regression method. (R 2 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions85% FAIR1.3 Dataset Index
10.6084/m9.figshare.8275889January 2019

Additional file 5 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script for producing the figures presented in this paper. (R 6 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions85% FAIR1.3 Dataset Index
10.6084/m9.figshare.8275895January 2019

Additional file 5 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script for producing the figures presented in this paper. (R 6 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.8275895.v1January 2019

Additional file 6 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script demonstrating using the fastJT package for feature selection for machine learning based on data from CALGB 80303. (R 8 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.8275901January 2019

Additional file 6 of fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

An R script demonstrating using the fastJT package for feature selection for machine learning based on data from CALGB 80303. (R 8 kb)

Authors

  • Jiaxing Lin ;
  • Sibley, Alexander ;
  • Shterev, Ivo ;
  • Nixon, Andrew ;
  • Innocenti, Federico ;
  • Cliburn Chan ;
  • Kouros Owzar
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.8275901.v1January 2019