Konstantinos Sechidis
AstraZeneca Data Science Fellow
University of Manchester


Semi-supervised data
Matlab code for the project of semi-supervised feature selection can be found in GitHub
If you make use of the code, please cite the following paper:
Simple strategies for semi-supervised feature selection
Konstantinos Sechidis, Gavin Brown
Machine Learning. Volume , Pages , 2017
Under-reported data
Matlab code for the project of feature selection with under-reported variables can be found in GitHub
If you make use of the code, please cite the following paper:
Dealing with under-reported variables: An information theoretic solution
Konstantinos Sechidis, Matthew Sperrin, Emily S. Petherick, Mikel Lujan, Gavin Brown
International Journal of Approximate Reasoning. Volume 85, Pages 159-177, June 2017
Positive-unlabelled data
Matlab code for the project of hypothesis testing/power analysis/sample size determination in positive-unlabelled data can be found in project's homepage
If you make use of the code, please cite the following paper:
Statistical hypothesis testing in positive unlabelled data
Konstantinos Sechidis, Borja Calvo, Gavin Brown
Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 66–81, 2014
Multi-label data
Java code for the project of stratification in multi-label data can be found in Mulan, a Java Library for Multi-Label Learning
If you make use of the code, please cite the following paper:
On the Stratification of Multi-label Data
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis Vlahavas
Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 145-158, 2011