Michail Tsagris

According to our database, Michail Tsagris authored at least 23 papers between 2013 and 2025.

Collaborative distances:

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

2025

Directional data analysis: spherical Cauchy or Poisson kernel-based distribution?

Michail Tsagris, Panagiotis Papastamoulis, Shogo Kato

Stat. Comput., April, 2025

Constrained least squares simplicial-simplicial regression.

Michail Tsagris

Stat. Comput., April, 2025

2024

An investigation of hypothesis testing procedures for circular and spherical mean vectors.

Michail Tsagris, Abdulaziz Alenazi

Commun. Stat. Simul. Comput., March, 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., February, 2024

Inference for Network Count Time Series with the R Package PNAR.

Mirko Armillotta, Michail Tsagris, Konstantinos Fokianos

R J., 2024

On predicting an NBA game outcome from half-time statistics.

Michail Tsagris, Christos Adam, Pavlos Pantatosakis

Discov. Artif. Intell., 2024

2023

Flexible non-parametric regression models for compositional response data with zeros.

Michail Tsagris, Abdulaziz Alenazi, Connie Stewart

Stat. Comput., October, 2023

Automated machine learning for genome wide association studies.

Kleanthi Lakiotaki, Zacharias Papadovasilakis, Vincenzo Lagani, Stefanos Fafalios, Paulos Charonyktakis, Michail Tsagris, Ioannis Tsamardinos

Bioinform., September, 2023

2022

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

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 FEDHC Bayesian network learning algorithm.

Michail Tsagris

CoRR, 2020

A generalised OMP algorithm for feature selection with application to gene expression data.

Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos

CoRR, 2020

2019

Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation.

Michail Tsagris

Appl. Artif. Intell., 2019

2018

An elliptically symmetric angular Gaussian distribution.

P. J. Paine, S. P. Preston, Michail Tsagris, Andrew T. A. Wood

Stat. Comput., 2018

Taking R to its limits: 70+ tips.

Michail Tsagris, Manos Papadakis

PeerJ Prepr., 2018

Correction to: Constraint-based causal discovery with mixed data.

Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos

Int. J. Data Sci. Anal., 2018

Constraint-based causal discovery with mixed data.

Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos

Int. J. Data Sci. Anal., 2018

Feature selection with the R package <i>MXM</i>.

Michail Tsagris, Ioannis Tsamardinos

F1000Research, 2018

Feature selection for high-dimensional temporal data.

Michail Tsagris, Vincenzo Lagani, Ioannis Tsamardinos

BMC Bioinform., 2018

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

2017

Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation.

Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis

CoRR, 2017

2016

Improved Classification for Compositional Data Using the α-transformation.

Michail Tsagris, Simon Preston, Andrew T. A. Wood

J. Classif., 2016

2013

Modelling distributions of the temporal membership grades for non-stationary fuzzy sets.

Michail Tsagris, Jonathan M. Garibaldi

Proceedings of the FUZZ-IEEE 2013, 2013