- Tuning spatial parameters of Geographical Random Forest: the case of agricultural drought2023 | Faculty of Science
- Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier2018 | Publication without faculty affiliation
- Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed2015 | Faculty of Mathematics and Physics
- Investigation of Gaussian Processes and Random Forests As Surrogate Models for Evolutionary Black-Box Optimization2015 | Faculty of Mathematics and Physics
- Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data - A Case Study of Czechia2022 | Faculty of Science
- Selecting Relevant Biological Variables Derived from Sentinel-2 Data for Mapping Changes from Grassland to Arable Land Using Random Forest Classifier2020 | Faculty of Science
- DeriNet.RU v0.5Publication without faculty affiliation
- Feature Extraction for Surrogate Models in Genetic Programming2016 | Faculty of Mathematics and Physics
- P2RANKPublication without faculty affiliation
- Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine Learning2021 | Faculty of Science, Central Library of Charles University
- Neighborhood features in geospatial machine learning: the case of population disaggregation2020 | Faculty of Science
- P2RANK: knowledge-based ligand binding site prediction using aggregated local features2015 | Faculty of Mathematics and Physics
- Predicting the Fission Yeast Protein Interaction Network2012 | Faculty of Science
- Diachronic corpus analysis: the order of Czech possesive adjectives within nominal phrase2018 | Faculty of Arts
- Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks2015 | Faculty of Mathematics and Physics
- A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data2020 | Faculty of Science
- Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition2019 | First Faculty of Medicine
- Disentangling the influences of habitat availability, heterogeneity and spatial position on the species richness and rarity of urban bird communities in a central European city2016 | Faculty of Science
- Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features2015 | Faculty of Mathematics and Physics
- Improving quality of ligand-binding site prediction with Bayesian optimization2017 | Faculty of Mathematics and Physics
- Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms2023 | Faculty of Arts, Faculty of Physical Education and Sport, Faculty of Education
- P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure2018 | Faculty of Mathematics and Physics
- Proficiency Level Classification of Foreign Language Learners Using Machine Learning Algorithms and Multilingual ModelsPublication without faculty affiliation
- Predicting Incursion of Plant Invaders into Kruger National Park, South Africa: The Interplay of General Drivers and Species-Specific Factors2011 | Faculty of Science
- Diffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone2018 | Second Faculty of Medicine
- Classification of Thyroid Nodules in Ultrasound Images Using Direction-Independent Features Extracted by Two-Threshold Binary Decomposition2019 | First Faculty of Medicine
- Alien flora of Nigeria: taxonomy, biogeography, habitats, and ecological impacts2023 | Faculty of Science
- Classification of Ataxic Gait2021 | First Faculty of Medicine, Faculty of Medicine in Hradec Králové
- Detection of abnormality in wireless capsule endoscopy images using fractal features2020 | Faculty of Medicine in Hradec Králové
- A prognostic model integrating PET-derived metrics and image texture analyses with clinical risk factors from GOYA2022 | First Faculty of Medicine