| Learning business rules with association rule classifiers T Kliegr, J Kuchař, D Sottara, S Vojíř Rules on the Web. From Theory to Applications: 8th International Symposium …, 2014 | 39 | 2014 |
| Personalised graph-based selection of Web APIs M Dojchinovski, J Kuchar, T Vitvar, M Zaremba The Semantic Web–ISWC 2012: 11th International Semantic Web Conference …, 2012 | 32 | 2012 |
| EasyMiner. eu: Web framework for interpretable machine learning based on rules and frequent itemsets S Vojíř, V Zeman, J Kuchař, T Kliegr Knowledge-Based Systems 150, 111-115, 2018 | 26 | 2018 |
| Associative Classification in R: arc, arulesCBA, and rCBA. M Hahsler, I Johnson, T Kliegr, J Kucha R Journal 9 (2), 2019 | 21 | 2019 |
| Benchmark of Rule-Based Classifiers in the News Recommendation Task T Kliegr, J Kuchař Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th …, 2015 | 18 | 2015 |
| Spotlighting anomalies using frequent patterns J Kuchar, V Svátek KDD 2017 Workshop on Anomaly Detection in Finance, 33-42, 2018 | 12 | 2018 |
| Gain: Web service for user tracking and preference learning-a smart tv use case J Kuchař, T Kliegr Proceedings of the 7th ACM conference on Recommender systems, 467-468, 2013 | 9 | 2013 |
| Tuning Hyperparameters of Classification Based on Associations (CBA). T Kliegr, J Kuchar ITAT, 9-16, 2019 | 8 | 2019 |
| EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R S Vojır, V Zeman, J Kuchar, T Kliegr | 8 | 2015 |
| Orwellian eye: video recommendation with Microsoft Kinect T Kliegr, J Kuchař ECAI 2014, 1227-1228, 2014 | 8 | 2014 |
| News Recommender System based on Association Rules@ CLEF NewsREEL 2017. C Golian, J Kuchar CLEF (Working Notes), 2017 | 7 | 2017 |
| Augmenting a Feature Set of Movies Using Linked Open Data J Kuchar Rule Challenge and Doctoral Consortium @ RuleML 2015, 2015 | 7 | 2015 |
| InBeat: Recommender System as a Service. J Kuchar, T Kliegr CLEF (Working Notes), 837-844, 2014 | 7 | 2014 |
| Role of population and test characteristics in antigen-based SARS-CoV-2 diagnosis, Czechia, August to November 2021 T Kliegr, J Jarkovský, H Jiřincová, J Kuchař, T Karel, R Tachezy Eurosurveillance 27 (33), 2200070, 2022 | 4 | 2022 |
| EasyMiner–Short History of Research and Current Development T Kliegr, J Kuchar, S Vojír, V Zeman ITAT 2017, 235-239, 2017 | 4 | 2017 |
| Outlier (Anomaly) Detection Modelling in PMML J Kuchar, A Ashenfelter, T Kliegr Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters …, 2017 | 4 | 2017 |
| InBeat: JavaScript recommender system supporting sensor input and linked data J Kuchař, T Kliegr Knowledge-Based Systems 135, 40-43, 2017 | 3 | 2017 |
| 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 … T Kliegr, J Jarkovský, H Jiřincová, J Kuchař, T Karel, D Chudán, S Vojíř, ... Eurosurveillance 28 (38), 2200938, 2023 | 2 | 2023 |
| Using EasyMiner API for Financial Data Analysis in the OpenBudgets. eu Project S Vojíř, V Zeman, J Kuchař, T Kliegr Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters …, 2017 | 2 | 2017 |
| Bag-of-Entities text representation for client-side (video) recommender systems J Kuchar, T Kliegr | 2 | 2014 |
Tomáš KliegrVysoká škola ekonomická v PrazeVerified email at vse.cz
