Michail Tsagris

24 papers B 1Journal 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Constrained least squares simplicial-simplicial regression.
Stat. Comput.
Michail Tsagris
2025 J jnl
Directional data analysis: spherical Cauchy or Poisson kernel-based distribution?
Stat. Comput.
Michail Tsagris, Panagiotis Papastamoulis, Shogo Kato
2025 J jnl
Predicting full retirement attainment of NBA players.
Int. J. Data Sci. Anal.
Giorgos Foutzopoulos, Nikolaos Pandis, Michail Tsagris
2024 J jnl
An investigation of hypothesis testing procedures for circular and spherical mean vectors.
Commun. Stat. Simul. Comput.
Michail Tsagris, Abdulaziz Alenazi
2024 J jnl
Cauchy robust principal component analysis with applications to high-dimensional data sets.
Stat. Comput.
Aisha Fayomi, Yannis Pantazis, Michail Tsagris, Andrew T. A. Wood
2024 J jnl
Computationally Efficient Outlier Detection for High-Dimensional Data Using the MDP Algorithm.
Comput.
Michail Tsagris, Manos Papadakis, Abdulaziz Alenazi, Omar Alzeley
2024 J jnl
Inference for Network Count Time Series with the R Package PNAR.
R J.
Mirko Armillotta, Michail Tsagris, Konstantinos Fokianos
2024 J jnl
On predicting an NBA game outcome from half-time statistics.
Discov. Artif. Intell.
Michail Tsagris, Christos Adam, Pavlos Pantatosakis
2023 J jnl
Automated machine learning for genome wide association studies.
Bioinform.
Kleanthi Lakiotaki, Zacharias Papadovasilakis, Vincenzo Lagani, Stefanos Fafalios, Paulos Charonyktakis, Michail Tsagris, Ioannis Tsamardinos
2023 J jnl
Flexible non-parametric regression models for compositional response data with zeros.
Stat. Comput.
Michail Tsagris, Abdulaziz Alenazi, Connie Stewart
2022 J jnl
The $\gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos
2020 J jnl
A generalised OMP algorithm for feature selection with application to gene expression data.
CoRR
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos
2020 J jnl
Spherical regression models with general covariates and anisotropic errors.
Stat. Comput.
P. J. Paine, S. P. Preston, Michail Tsagris, Andrew T. A. Wood
2020 J jnl
The FEDHC Bayesian network learning algorithm.
CoRR
Michail Tsagris
2019 J jnl
Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation.
Appl. Artif. Intell.
Michail Tsagris
2018 J jnl
An elliptically symmetric angular Gaussian distribution.
Stat. Comput.
P. J. Paine, S. P. Preston, Michail Tsagris, Andrew T. A. Wood
2018 J jnl
BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology.
Database J. Biol. Databases Curation
Kleanthi Lakiotaki, Nikolaos Vorniotakis, Michail Tsagris, Georgios Georgakopoulos, Ioannis Tsamardinos
2018 J jnl
Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal.
Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos
2018 J jnl
Correction to: Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal.
Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos
2018 J jnl
Feature selection for high-dimensional temporal data.
BMC Bioinform.
Michail Tsagris, Vincenzo Lagani, Ioannis Tsamardinos
2018 J jnl
Feature selection with the R package
F1000Research
Michail Tsagris, Ioannis Tsamardinos
2018 J jnl
Taking R to its limits: 70+ tips.
PeerJ Prepr.
Michail Tsagris, Manos Papadakis
2016 J jnl
Improved Classification for Compositional Data Using the α-transformation.
J. Classif.
Michail Tsagris, Simon Preston, Andrew T. A. Wood
2013 B conf
Modelling distributions of the temporal membership grades for non-stationary fuzzy sets.
FUZZ-IEEE
Michail Tsagris, Jonathan M. Garibaldi