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Jaroslav Kuchar
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Journal Articles
- 2019
- [j4]Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar:
Associative Classification in R: arc, arulesCBA, and rCBA. R J. 11(2): 254 (2019) - 2018
- [j3]David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír:
Dolování z otevřených dat o rozpočtech a výdajích. Acta Informatica Pragensia 7(1) (2018) - [j2]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: 111-115 (2018) - 2017
- [j1]Jaroslav Kuchar, Tomás Kliegr:
InBeat: JavaScript recommender system supporting sensor input and linked data. Knowl. Based Syst. 135: 40-43 (2017)
Conference and Workshop Papers
- 2023
- [c22]Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar:
Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map. ICSOC (1) 2023: 169-177 - 2020
- [c21]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 - 2019
- [c20]Tomás Kliegr, Jaroslav Kuchar:
Tuning Hyperparameters of Classification Based on Associations (CBA). ITAT 2019: 9-16 - [c19]Pavel Procházka, Matej Kocián
, Jakub Drdák, Jan Vrsovský
, Vladimír Kadlec, Jaroslav Kuchar:
Vertical Search Blending: A Real-world Counterfactual Dataset. SIGIR 2019: 1237-1240 - 2018
- [c18]Jakub Siller, Jaroslav Kuchar:
Framework for Distributed Computing on the Web. ITAT 2018: 161-167 - 2017
- [c17]Christián Golian, Jaroslav Kuchar:
News Recommender System based on Association Rules @ CLEF NewsREEL 2017. CLEF (Working Notes) 2017 - [c16]Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman:
EasyMiner - Short History of Research and Current Development. ITAT 2017: 235-239 - [c15]Jaroslav Kuchar, Vojtech Svátek:
Spotlighting Anomalies using Frequent Patterns. ADF@KDD 2017: 33-42 - [c14]Jaroslav Kuchar, Adam Ashenfelter, Tomás Kliegr:
Outlier (Anomaly) Detection Modelling in PMML. RuleML+RR (Supplement) 2017 - [c13]Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr:
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project. RuleML+RR (Supplement) 2017 - 2015
- [c12]Tomás Kliegr, Jaroslav Kuchar:
Benchmark of Rule-Based Classifiers in the News Recommendation Task. CLEF 2015: 130-141 - [c11]Jaroslav Kuchar:
Augmenting a Feature Set of Movies Using Linked Open Data. Challenge+DC@RuleML 2015 - [c10]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 - [c9]Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar:
Exploiting Temporal Dimension in Tensor-Based Link Prediction. WEBIST (Revised Selected Papers) 2015: 211-231 - [c8]Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar:
Time-aware Link Prediction in RDF Graphs. WEBIST 2015: 390-401 - 2014
- [c7]Jaroslav Kuchar, Tomás Kliegr:
InBeat: Recommender System as a Service. CLEF (Working Notes) 2014: 837-844 - [c6]Tomás Kliegr, Jaroslav Kuchar:
Orwellian Eye: Video Recommendation with Microsoft Kinect. ECAI 2014: 1227-1228 - [c5]Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír
:
Learning Business Rules with Association Rule Classifiers. RuleML 2014: 236-250 - 2013
- [c4]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: 179-199 - [c3]Jaroslav Kuchar, Tomás Kliegr:
GAIN: web service for user tracking and preference learning - a smart TV use case. RecSys 2013: 467-468 - 2012
- [c2]Milan Dojchinovski, Jaroslav Kuchar, Tomas Vitvar, Maciej Zaremba:
Personalised Graph-Based Selection of Web APIs. ISWC (1) 2012: 34-48 - [c1]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
Coauthor Index
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