Daniel Vidali Fryer

According to our database, Daniel Vidali Fryer authored at least 7 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Model independent feature attributions: Shapley values that uncover non-linear dependencies.

Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen

PeerJ Comput. Sci., 2021

Shapley Values for Feature Selection: The Good, the Bad, and the Axioms.

Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen

IEEE Access, 2021

2020

rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data.

Daniel Vidali Fryer, Ming Li, Andriy Olenko

R J., 2020

Shapley Value Confidence Intervals for Attributing Variance Explained.

Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen

Frontiers Appl. Math. Stat., 2020

Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies.

Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen

CoRR, 2020

k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences.

Daniel Vidali Fryer, Hien D. Nguyen, Pascal Castellazzi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

studentlife: Tidy Handling and Navigation of a Valuable Mobile-Health Dataset.

Daniel Vidali Fryer, Hien D. Nguyen, Pierre Orban

J. Open Source Softw., 2019