引用次数
引用: 1,149
H-指数: 17
I10-指数 : 28
出版物: 139
Kinteresttv - towards non-invasive measure of user interest while watching tv
R.B. Madhkour , T Kliegr , I. Pirner , M. Mancas
IFIP Advances in Information and Communication Technology
2014
Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery
Tom'aš Kliegr , Ondřej Zamazal
language resources and evaluation 3517 -3523
5
2014
EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R.
Tomás Kliegr , Jaroslav Kuchar , Vaclav Zeman , Stanislav Vojír
rules and rule markup languages for the semantic web
2015
Wikipedia Search as Effective Entity Linking Algorithm.
Tomás Kliegr , Ivo Lasek , Milan Dojchinovski , Ondrej Zamazal
Theory and Applications of Categories
2
2013
SEWEBAR-CMS: A System for Postprocessing Data Mining Models.
David Chudán , Tomás Kliegr , Jan Rauch , Andrej Hazucha
rules and rule markup languages for the semantic web
1
2010
Contextualised user profiling in networked media environments.
Miroslav Vacura , Vasileios Mezaris , Tomás Kliegr , Dorothea Tsatsou
international conference on user modeling, adaptation, and personalization
2012
Business Rule Learning with Interactive Selection of Association Rules.
Tomás Kliegr , Premysl Václav Duben , Stanislav Vojír
rules and rule markup languages for the semantic web
2014
Transforming Association Rules to Business Rules: EasyMiner meets Drools.
Tomás Kliegr , Milan Simunek , Andrej Hazucha , Radek Skrabal
rules and rule markup languages for the semantic web
7
2013
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project.
Tomás Kliegr , Jaroslav Kuchar , Vaclav Zeman , Stanislav Vojír
rules and rule markup languages for the semantic web
2017
Outlier (Anomaly) Detection Modelling in PMML.
Tomás Kliegr , Jaroslav Kuchar , Adam Ashenfelter
rules and rule markup languages for the semantic web
2
2017
On Cognitive Preferences and the Interpretability of Rule-based Models.
Johannes Fürnkranz , Heiko Paulheim , Tomás Kliegr
5
2018
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models
Johannes Fürnkranz , Tomáš Kliegr , Štěpán Bahník
arXiv: Machine Learning
7
2018
On Cognitive Preferences and the Plausibility of Rule-based Models.
Johannes Fürnkranz , Heiko Paulheim , Tomáš Kliegr
arXiv: Learning
10
2018
QCBA: Postoptimization of Quantitative Attributes in Classifiers based on Association Rules
Tomas Kliegr
arXiv: Machine Learning
2017
PyIDS - Python Implementation of Interpretable Decision Sets Algorithm by Lakkaraju et al, 2016.
Tomás Kliegr , Jirí Filip
rules and rule markup languages for the semantic web
2019
Action Rules: Counterfactual Explanations in Python.
Tomás Kliegr , Lukas Sykora
rules and rule markup languages for the semantic web 28 -41
2020
Advances in Machine Learning for the Behavioral Sciences
Johannes Fürnkranz , Tomáš Kliegr , Štěpán Bahník
arXiv: Learning
2019
Linked hypernyms
Tomáš Kliegr
Journal of Web Semantics 31 59 -69
11
2015
LHD 2.0
Tomáš Kliegr , Ondřej Zamazal
Journal of Web Semantics 39 47 -61
15
2016
RdfRules Preview: Towards an Analytics Engine for Rule Mining in RDF Knowledge Graphs
Václav Zeman , Tomáš Kliegr , Vojtěch Svátek
rules and rule markup languages for the semantic web
3
2018