Tomáš Kliegr
Vysoká škola ekonomická v Praze
H-index: 15
Europe-Czech Republic
Top articles of Tomáš Kliegr
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Artificial Intelligence. ECAI 2023 International Workshops: XAI^ 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30–October 4, 2023 … | Sławomir Nowaczyk Przemysław Biecek Neo Christopher Chung Mauro Vallati Paweł Skruch | 2024/1/20 | |
Apriori Modified for Action Rules Mining | Lukas Sykora Tomas Kliegr | 2023/12/5 | |
Can variants, reinfection, symptoms and test types affect COVID-19 diagnostic performance? A large-scale retrospective study of AG-RDTs during circulation of Delta and Omicron … | Eurosurveillance | Tomáš Kliegr Jiří Jarkovský Helena Jiřincová Jaroslav Kuchař Tomáš Karel | 2023/9/21 |
QCBA: improving rule classifiers learned from quantitative data by recovering information lost by discretisation | Applied Intelligence | Tomáš Kliegr Ebroul Izquierdo | 2023/9 |
Introduction to the Special Issue on Logic Rules and Reasoning: Selected Papers from the 4th International Joint Conference on Rules and Reasoning (RuleML+ RR 2020) | Theory and Practice of Logic Programming | TOMÁŠ KLIEGR Victor Gutierrez-Basulto Ahmet Soylu | 2023/5 |
Explainability of Text Clustering Visualizations—Twitter Disinformation Case Study | IEEE Computer Graphics and Applications | Jiří Žárský Gaetan Lopez Tomáš Kliegr | 2022/7/15 |
Why was this cited? Explainable machine learning applied to COVID-19 research literature | Scientometrics | Lucie Beranová Marcin P Joachimiak Tomáš Kliegr Gollam Rabby Vilém Sklenák | 2022/5 |
Proceedings of the 2nd International Workshop on Explainable and Interpretable Machine Learning (XI-ML)–PREFACE | Kirk Cameron Adolfy Hoisie Darren Kerbyson David Lowenthal Dimitrios S Nikolopoulos | 2014/11 | |
High-Utility Action Rules Mining | Lukáš Sýkora Tomáš Kliegr Kateřina Hrudková | 2022 | |
Role of population and test characteristics in antigen-based SARS-CoV-2 diagnosis, Czechia, August to November 2021 | Eurosurveillance | Tomáš Kliegr Jiří Jarkovský Helena Jiřincová Jaroslav Kuchař Tomáš Karel | 2022/8/18 |
Explainable and Interpretable Machine Learning | Martin Atzmueller Tomáš Kliegr Ute Schmid | 2021 | |
RDFRules: Making RDF rule mining easier and even more efficient | Semantic web | Václav Zeman Tomáš Kliegr Vojtěch Svátek | 2021/1/1 |
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models | Artificial Intelligence | Tomáš Kliegr Štěpán Bahník Johannes Fürnkranz | 2021 |
Proceedings of the 1st international workshop on explainable and interpretable machine learning (XI-ML) | Stefanos Vrochidis Kostas D Karatzas A Karppinen Alexis Joly | 2014/4/1 | |
Action rules: counterfactual explanations in Python | CEUR Workshop Proceedings | Lukáš Sýkora Tomáš Kliegr | 2020 |
Editable machine learning models? A rule-based framework for user studies of explainability | Advances in Data Analysis and Classification | Stanislav Vojíř Tomáš Kliegr | 2020/12 |
Rules and Reasoning: 4th International Joint Conference, RuleML+ RR 2020, Oslo, Norway, June 29–July 1, 2020, Proceedings | Víctor Gutiérrez-Basulto Tomáš Kliegr Ahmet Soylu Martin Giese Dumitru Roman | 2020/8/18 | |
On cognitive preferences and the plausibility of rule-based models | Machine Learning | Johannes Fürnkranz Tomás Kliegr Heiko Paulheim | 2020 |
Advances in machine learning for the behavioral sciences | American Behavioral Scientist | Tomáš Kliegr Štěpán Bahník Johannes Fürnkranz | 2020/2 |
