Modelling distributions of the temporal membership grades for non-stationary fuzzy sets. - Michail Tsagris; Jonathan M. Garibaldi (FUZZ-IEEE, 2013)

Improved Classification for Compositional Data Using the α-transformation. - Michail Tsagris; Simon Preston; Andrew T. A. Wood (J. Classif., 2016)

Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation. - Ioannis Tsamardinos; Elissavet Greasidou; Michalis Tsagris; Giorgos Borboudakis (CoRR, 2017)

BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology. - Kleanthi Lakiotaki; Nikolaos Vorniotakis; Michail Tsagris; Georgios Georgakopoulos; Ioannis Tsamardinos (Database J. Biol. Databases Curation, 2018)

Feature selection for high-dimensional temporal data. - Michail Tsagris; Vincenzo Lagani; Ioannis Tsamardinos (BMC Bioinform., 2018)

Feature selection with the R package MXM. - Michail Tsagris; Ioannis Tsamardinos (F1000Research, 2018)

Constraint-based causal discovery with mixed data. - Michail Tsagris; Giorgos Borboudakis; Vincenzo Lagani; Ioannis Tsamardinos (Int. J. Data Sci. Anal., 2018)

Correction to: Constraint-based causal discovery with mixed data. - Michail Tsagris; Giorgos Borboudakis; Vincenzo Lagani; Ioannis Tsamardinos (Int. J. Data Sci. Anal., 2018)

Taking R to its limits: 70+ tips. - Michail Tsagris; Manos Papadakis (PeerJ Prepr., 2018)

An elliptically symmetric angular Gaussian distribution. - P. J. Paine; S. P. Preston; Michail Tsagris; Andrew T. A. Wood (Stat. Comput., 2018)

Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation. - Michail Tsagris (Appl. Artif. Intell., 2019)

A generalised OMP algorithm for feature selection with application to gene expression data. - Michail Tsagris; Zacharias Papadovasilakis; Kleanthi Lakiotaki; Ioannis Tsamardinos (CoRR, 2020)

The FEDHC Bayesian network learning algorithm. - Michail Tsagris (CoRR, 2020)

Spherical regression models with general covariates and anisotropic errors. - P. J. Paine; S. P. Preston; Michail Tsagris; Andrew T. A. Wood (Stat. Comput., 2020)

The $ gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data. - Michail Tsagris; Zacharias Papadovasilakis; Kleanthi Lakiotaki; Ioannis Tsamardinos (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Automated machine learning for genome wide association studies. - Kleanthi Lakiotaki; Zacharias Papadovasilakis; Vincenzo Lagani; Stefanos Fafalios; Paulos Charonyktakis; Michail Tsagris; Ioannis Tsamardinos (Bioinform., 2023)

Flexible non-parametric regression models for compositional response data with zeros. - Michail Tsagris; Abdulaziz Alenazi; Connie Stewart (Stat. Comput., 2023)

On predicting an NBA game outcome from half-time statistics. - Michail Tsagris; Christos Adam; Pavlos Pantatosakis (Discov. Artif. Intell., 2024)

Inference for Network Count Time Series with the R Package PNAR. - Mirko Armillotta; Michail Tsagris; Konstantinos Fokianos (R J., 2024)

Cauchy robust principal component analysis with applications to high-dimensional data sets. - Aisha Fayomi; Yannis Pantazis; Michail Tsagris; Andrew T. A. Wood (Stat. Comput., 2024)

An investigation of hypothesis testing procedures for circular and spherical mean vectors. - Michail Tsagris; Abdulaziz Alenazi (Commun. Stat. Simul. Comput., 2024)

Constrained least squares simplicial-simplicial regression. - Michail Tsagris (Stat. Comput., 2025)

Directional data analysis: spherical Cauchy or Poisson kernel-based distribution? - Michail Tsagris; Panagiotis Papastamoulis; Shogo Kato (Stat. Comput., 2025)