sechidis
Machine learning researcher with experience in developing, enhancing and delivering statistical and machine learning methods tailored to healthcare analytics.
Basel, Switzerland
Pinned Repositories
datascience-thinking.github.io
homepage
knockofftools
An R-package containing a suite of knockoffs functions and methods from existing R-packages and the knockoffs literature. Some of the R functions are novel implementations of recent methods.
2017-IJAR-Under-reported-variables
Matlab code of the paper "Dealing with Under-reported Variables: An Information Theoretic Solution", published in the International Journal of Approximate Reasoning
2018-Bioinformatics-Predictive-Biomarker-Discovery
R code for the methods presented in the paper "Distinguishing prognostic and predictive biomarkers: An information theoretic approach", published in Bioinformatics
2018-MLJ-Semi-supervised-feature-selection
Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal
2019-ECML-Stability-correlations
Matlab code for the methods presented in the paper "On The Stability of Feature Selection in the Presence of Feature Correlations" (Under review)
2019-Entropy-Multi-target-feature-selection
Matlab code for the methods presented in the paper "Multi-target feature selection through output space clustering"
2019-MLJ-Efficient-feature-selection-using-shrinkage-estimators
Matlab code for the methods presented in the paper "Efficient Feature Selection Using Shrinkage Estimators"
2021-SiM-Predictive-Knockoffs
R code for the methods presented in the paper "Using knockoffs for controlled predictive biomarker identification"
sechidis.github.io
personal webpage
sechidis's Repositories
sechidis/2018-MLJ-Semi-supervised-feature-selection
Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal
sechidis/2019-ECML-Stability-correlations
Matlab code for the methods presented in the paper "On The Stability of Feature Selection in the Presence of Feature Correlations" (Under review)
sechidis/2019-Entropy-Multi-target-feature-selection
Matlab code for the methods presented in the paper "Multi-target feature selection through output space clustering"
sechidis/2019-MLJ-Efficient-feature-selection-using-shrinkage-estimators
Matlab code for the methods presented in the paper "Efficient Feature Selection Using Shrinkage Estimators"
sechidis/2018-Bioinformatics-Predictive-Biomarker-Discovery
R code for the methods presented in the paper "Distinguishing prognostic and predictive biomarkers: An information theoretic approach", published in Bioinformatics
sechidis/2021-SiM-Predictive-Knockoffs
R code for the methods presented in the paper "Using knockoffs for controlled predictive biomarker identification"
sechidis/2017-IJAR-Under-reported-variables
Matlab code of the paper "Dealing with Under-reported Variables: An Information Theoretic Solution", published in the International Journal of Approximate Reasoning
sechidis/sechidis.github.io
personal webpage