Stanislav Vojír

12 papers Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2020 J jnl
Editable machine learning models? A rule-based framework for user studies of explainability.
Adv. Data Anal. Classif.
Stanislav Vojír, Tomás Kliegr
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
2017 — conf
EasyMiner - Short History of Research and Current Development.
ITAT
Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman
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
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
Extension of Business Rule Sets Using Data Mining of GUHA Association Rules.
ITAT
Stanislav Vojír
2014 — conf
Business Rule Learning with Interactive Selection of Association Rules.
Challenge+DC@RuleML
Stanislav Vojír, Premysl Václav Duben, Tomás Kliegr
2014 — conf
Learning Business Rules with Association Rule Classifiers.
RuleML
Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír
2013 — conf
Transforming Association Rules to Business Rules: EasyMiner meets Drools.
RuleML (2)
Stanislav Vojír, Tomás Kliegr, Andrej Hazucha, Radek Skrabal, Milan Simunek
2012 — conf
Association Rule Mining Following the Web Search Paradigm.
ECML/PKDD (2)
Radek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr
2011 — conf
Automated matching of data mining dataset schemata to background knowledge.
OM
Stanislav Vojír, Tomás Kliegr, Vojtech Svátek, Ondrej Sváb-Zamazal