- Therapeutic drug monitoring of antibiotic agents: evaluation of predictive performance2019 | First Faculty of Medicine
- Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations2023 | Third Faculty of Medicine
- Can we predict performance and spatial structure of two-species mixtures using only single species information from monocultures?2012 | Faculty of Science
- Predictive performance comparisons of different feature extraction methods in a financial column corpusPublication without faculty affiliation
- Talent assessment in a short triathlon in the czech republic (case study)2011 | First Faculty of Medicine, Faculty of Physical Education and Sport
- Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms2023 | Faculty of Physical Education and Sport, Faculty of Education, Faculty of Arts
- On the predictability of domain-independent temporal planners2019 | Faculty of Mathematics and Physics
- The Clinician and Estimation of Glomerular Filtration Rate by Creatinine-based Formulas: Current Limitations and Quo Vadis2011 | Second Faculty of Medicine
- Computer support of detecting risk of cardiovascular diseases.2000 | Faculty of Mathematics and Physics
- How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project.Publication without faculty affiliation
- Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context2016 | First Faculty of Medicine
- External Validation of the ASTRAL and DRAGON Scores for Prediction of Functional Outcome in Stroke2016 | Third Faculty of Medicine
- High-dose methotrexate in children with acute lymphoblastic leukemia: 7-hydroxymethotrexate systemic exposure and urinary concentrations at the steady state correlate well with those of methotrexate2010 | Faculty of Medicine in Hradec Králové
- Muon reconstruction efficiency and momentum resolution of the ATLAS experiment in proton-proton collisions at root(s) = 7 TeV in 20102014 | Faculty of Mathematics and Physics
- Resource Sharing in QPN-based Performance Models2008 | Faculty of Mathematics and Physics
- Improving risk adjustment in the Czech Republic2010 | Faculty of Social Sciences
- Exploration of protein sequence embeddings for protein-ligand binding site detection2022 | Faculty of Mathematics and Physics
- Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis2022 | Publication without faculty affiliation
- Role of CA125/CEA ratio and ultrasound parameters in identifying metastases to the ovaries in patients with multilocular and multilocular-solid ovarian masses2019 | First Faculty of Medicine
- Analysis of vertical jump parameters with respect to age and a type of a jump in young soccer players2016 | Faculty of Physical Education and Sport
- The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company2022 | Faculty of Social Sciences
- Monetary transmission and the financial sector in the Czech Republic2012 | Faculty of Mathematics and Physics, Faculty of Social Sciences, Centre for Economic Research and Graduate Education
- The Predicting Power of Soft Information on Defaults in the Chinese P2P Lending MarketPublication without faculty affiliation
- No-Regret Learning Supports Voters' Competence2023 | Publication without faculty affiliation
- Influence of nationality on the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS)2018 | First Faculty of Medicine
- Improving quality of ligand-binding site prediction with Bayesian optimization2017 | Faculty of Mathematics and Physics
- Grooved Pegboard Predicates More of Cognitive Than Motor Involvement in Parkinson's Disease +12014 | First Faculty of Medicine, Faculty of Physical Education and Sport
- Peptide-Binding Site Prediction From Protein Structure via points on the Solvent Accessible Surface2018 | Faculty of Mathematics and Physics
- Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity2018 | Central Library of Charles University