Jaroslav Kuchar

27 papers A* 1A 2C 1Journal 4Unranked 19
YearRankTypeTitle / Venue / Authors
2024 — conf
Anomaly Detection in Log Streams Based on Time-Contextual Models.
WISE (5)
Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar
2023 — conf
Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map.
ICSOC (1)
Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar
2020 — conf
Combining Models for Better User Satisfaction in Video Recommendation.
ORSUM@RecSys
Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor
2019 J jnl
Associative Classification in R: arc, arulesCBA, and rCBA.
R J.
Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar
2019 — conf
Tuning Hyperparameters of Classification Based on Associations (CBA).
ITAT
Tomás Kliegr, Jaroslav Kuchar
2019 A* conf
Vertical Search Blending: A Real-world Counterfactual Dataset.
SIGIR
Pavel Procházka, Matej Kocián, Jakub Drdák, Jan Vrsovský, Vladimír Kadlec, Jaroslav Kuchar
2018 J jnl
Dolování z otevřených dat o rozpočtech a výdajích.
Acta Informatica Pragensia
David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír
2018 J jnl
EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets.
Knowl. Based Syst.
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
2018 — conf
Framework for Distributed Computing on the Web.
ITAT
Jakub Siller, Jaroslav Kuchar
2017 — conf
EasyMiner - Short History of Research and Current Development.
ITAT
Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman
2017 J jnl
InBeat: JavaScript recommender system supporting sensor input and linked data.
Knowl. Based Syst.
Jaroslav Kuchar, Tomás Kliegr
2017 — conf
News Recommender System based on Association Rules @ CLEF NewsREEL 2017.
CLEF (Working Notes)
Christián Golian, Jaroslav Kuchar
2017 — conf
Outlier (Anomaly) Detection Modelling in PMML.
RuleML+RR (Supplement)
Jaroslav Kuchar, Adam Ashenfelter, Tomás Kliegr
2017 — conf
Spotlighting Anomalies using Frequent Patterns.
ADF@KDD
Jaroslav Kuchar, Vojtech Svátek
2017 — conf
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project.
RuleML+RR (Supplement)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
2015 — conf
Augmenting a Feature Set of Movies Using Linked Open Data.
Challenge+DC@RuleML
Jaroslav Kuchar
2015 — conf
Benchmark of Rule-Based Classifiers in the News Recommendation Task.
CLEF
Tomás Kliegr, Jaroslav Kuchar
2015 — conf
EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R.
Challenge+DC@RuleML
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
2015 — conf
Exploiting Temporal Dimension in Tensor-Based Link Prediction.
WEBIST (Revised Selected Papers)
Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar
2015 C conf
Time-aware Link Prediction in RDF Graphs.
WEBIST
Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar
2014 — conf
InBeat: Recommender System as a Service.
CLEF (Working Notes)
Jaroslav Kuchar, Tomás Kliegr
2014 — conf
Learning Business Rules with Association Rule Classifiers.
RuleML
Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír
2014 A conf
Orwellian Eye: Video Recommendation with Microsoft Kinect.
ECAI
Tomás Kliegr, Jaroslav Kuchar
2013 A conf
GAIN: web service for user tracking and preference learning - a smart TV use case.
RecSys
Jaroslav Kuchar, Tomás Kliegr
2013 — conf
KINterestTV - Towards Non-invasive Measure of User Interest While Watching TV.
eNTERFACE
Julien Leroy, François Rocca, Matei Mancas, Radhwan Ben Madhkour, Fabien Grisard, Tomás Kliegr, Jaroslav Kuchar, Jakub Vit, Ivan Pirner, Petr Zimmermann
2012 — conf
Contextualised user profiling in networked media environments.
UMAP Workshops
Dorothea Tsatsou, Lyndon J. B. Nixon, Matei Mancas, Miroslav Vacura, Rüdiger Klein, Julien Leroy, Jaroslav Kuchar, Tomás Kliegr, Manuel Kober, Maria Loli, Vasileios Mezaris
2012 — conf
Personalised Graph-Based Selection of Web APIs.
ISWC (1)
Milan Dojchinovski, Jaroslav Kuchar, Tomas Vitvar, Maciej Zaremba