- Inverse Free Universum Twin Support Vector Machine2021 | Faculty of Mathematics and Physics
- Inverse free reduced universum twin support vector machine for imbalanced data classification2023 | Faculty of Mathematics and Physics
- Flood Simulations Using a Sensor Network and Support Vector Machine Model2023 | Faculty of Science
- Non-Asymptotic Analysis of l(1)-Norm Support Vector Machines2017 | Faculty of Mathematics and Physics
- Sparse L1-norm quadratic surface support vector machine with Universum data2023 | Faculty of Mathematics and Physics
- A lagrangian-based approach for universum twin bounded support vector machine with its applications2023 | Faculty of Mathematics and Physics
- A new three-dimensional magnetopause model with a support vector regression machine and a large database of multiple spacecraft observations2013 | Faculty of Mathematics and Physics
- Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm2021 | Faculty of Mathematics and Physics
- Sparse solution of least-squares twin multi-class support vector machine using l0 and lp-norm for classification and feature selection2023 | Faculty of Mathematics and Physics
- A Comparison of WorldView-2 and Landsat 8 Images for the Classification of Forests Affected by Bark Beetle Outbreaks Using a Support Vector Machine and a Neural Network: A Case Study in the Sumava Mountains2019 | Faculty of Science, First Faculty of Medicine, Faculty of Mathematics and Physics
- Financial stability indicator predictability by support vector machines2012 | Faculty of Social Sciences
- Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines2014 | Faculty of Science
- Statistical sex determination from craniometrics: Comparison of linear discriminant analysis, logistic regression, and support vector machines2014 | Faculty of Science
- Applicability of a nu-support vector regression model for the completion of missing data in hydrological time series2016 | Faculty of Science
- Measurement of the inclusive t(t)over-bar production cross section in the lepton plus jets channel in pp collisions at SQUARE ROOTs=7 TeV with the ATLAS detector using support vector machines2023 | Faculty of Mathematics and Physics
- Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data2015 | First Faculty of Medicine
- Least squares approach to K-SVCR multi-class classification with its applications2022 | Faculty of Mathematics and Physics
- Acoustic Assessment of Voice and Speech Disorders in Parkinson's Disease Through Quick Vocal Test2011 | First Faculty of Medicine
- Evaluation of remote sensing methods and data for land cover classification: case studies of former military training areas Brdy and Ralsko2018 | Faculty of Science
- Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space2023 | Faculty of Mathematics and Physics
- Predicting the Fission Yeast Protein Interaction Network2012 | Faculty of Science
- Regional gray matter changes and age predict individual treatment response in Parkinson's disease2019 | First Faculty of Medicine
- Classification of first-episode psychosis using cortical thickness: A large multicenter MRI study2021 | Central Library of Charles University
- A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data2020 | Faculty of Science
- Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy2018 | Publication without faculty affiliation
- Unraveling corticobasal syndrome and alien limb syndrome with structural brain imaging2019 | First Faculty of Medicine
- Improving clinical refractive results of cataract surgery by machine learning2019 | Third Faculty of Medicine
- Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning ApproachesPublication without faculty affiliation
- Disease-Specific Regions Outperform Whole-Brain Approaches in Identifying Progressive Supranuclear Palsy:A Multicentric MRI Study2017 | First Faculty of Medicine, Faculty of Physical Education and Sport
- FCM marker importance for MRD assessment in T-cell acute lymphoblastic leukemia: An AIEOP-BFM-ALL-FLOW study group report2024 | Second Faculty of Medicine