Jaroslav Kuchar

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 14

Top Topics

Frequent Itemsets

Top Venues

RuleML+RR (Supplement)

CLEF (Working Notes)

Knowl. Based Syst.

Publications

Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar
Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map. ICSOC (1) (2023)
Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor
Combining Models for Better User Satisfaction in Video Recommendation. ORSUM@RecSys (2020)
Pavel Procházka, Matej Kocián, Jakub Drdák, Jan Vrsovský, Vladimír Kadlec, Jaroslav Kuchar
Vertical Search Blending: A Real-world Counterfactual Dataset. SIGIR (2019)
Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar
Associative Classification in R: arc, arulesCBA, and rCBA. R J. 11 (2) (2019)
Tomás Kliegr, Jaroslav Kuchar
Tuning Hyperparameters of Classification Based on Associations (CBA). ITAT (2019)
Jakub Siller, Jaroslav Kuchar
Framework for Distributed Computing on the Web. ITAT (2018)
David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír
Dolování z otevřených dat o rozpočtech a výdajích. Acta Informatica Pragensia 7 (1) (2018)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets. Knowl. Based Syst. 150 (2018)
Christián Golian, Jaroslav Kuchar
News Recommender System based on Association Rules @ CLEF NewsREEL 2017. CLEF (Working Notes) (2017)
Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman
EasyMiner - Short History of Research and Current Development. ITAT (2017)
Jaroslav Kuchar, Adam Ashenfelter, Tomás Kliegr
Outlier (Anomaly) Detection Modelling in PMML. RuleML+RR (Supplement) (2017)
Jaroslav Kuchar, Tomás Kliegr
InBeat: JavaScript recommender system supporting sensor input and linked data. Knowl. Based Syst. 135 (2017)
Jaroslav Kuchar, Vojtech Svátek
Spotlighting Anomalies using Frequent Patterns. ADF@KDD (2017)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project. RuleML+RR (Supplement) (2017)
Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar
Time-aware Link Prediction in RDF Graphs. WEBIST (2015)
Tomás Kliegr, Jaroslav Kuchar
Benchmark of Rule-Based Classifiers in the News Recommendation Task. CLEF (2015)
Jaroslav Kuchar
Augmenting a Feature Set of Movies Using Linked Open Data. Challenge+DC@RuleML (2015)
Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar
Exploiting Temporal Dimension in Tensor-Based Link Prediction. WEBIST (Revised Selected Papers) (2015)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R. Challenge+DC@RuleML (2015)
Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír
Learning Business Rules with Association Rule Classifiers. RuleML (2014)
Tomás Kliegr, Jaroslav Kuchar
Orwellian Eye: Video Recommendation with Microsoft Kinect. ECAI (2014)
Jaroslav Kuchar, Tomás Kliegr
InBeat: Recommender System as a Service. CLEF (Working Notes) (2014)
Jaroslav Kuchar, Tomás Kliegr
GAIN: web service for user tracking and preference learning - a smart TV use case. RecSys (2013)
Julien Leroy, François Rocca, Matei Mancas, Radhwan Ben Madhkour, Fabien Grisard, Tomás Kliegr, Jaroslav Kuchar, Jakub Vit, Ivan Pirner, Petr Zimmermann
KINterestTV - Towards Non-invasive Measure of User Interest While Watching TV. eNTERFACE (2013)
Dorothea Tsatsou, Lyndon J. B. Nixon, Matei Mancas, Miroslav Vacura, Rüdiger Klein, Julien Leroy, Jaroslav Kuchar, Tomás Kliegr, Manuel Kober, Maria Loli, Vasileios Mezaris
Contextualised user profiling in networked media environments. UMAP Workshops (2012)
Milan Dojchinovski, Jaroslav Kuchar, Tomas Vitvar, Maciej Zaremba
Personalised Graph-Based Selection of Web APIs. ISWC (1) (2012)