Tomás Kliegr

Víctor Gutiérrez-Basulto

Ahmet Soylu

Theory Pract. Log. Program., May, 2023

Apriori Modified for Action Rules Mining.

[BibT_eX]

[DOI]

Lukás Sýkora

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

2022

Why was this cited? Explainable machine learning applied to COVID-19 research literature.

[BibT_eX]

[DOI]

Scientometrics, 2022

Explainability of Text Clustering Visualizations - Twitter Disinformation Case Study.

[BibT_eX]

[DOI]

Jirí Zárský

Gaetan Lopez

IEEE Computer Graphics and Applications, 2022

High-Utility Action Rules Mining.

[BibT_eX]

[DOI]

Lukás Sýkora

Katerina Hrudková

Proceedings of the 16th International Rule Challenge and 6th Doctoral Consortium @ RuleML+RR 2022 co-located with 18th Reasoning Web Summer School (RW 2022) and 14th DecisionCAMP 2022 as part of Declarative AI 2022, Berlin, Germany (virtual due to Covid-19 pandemic), 26, 2022

2021

RDFRules: Making RDF rule mining easier and even more efficient.

[BibT_eX]

[DOI]

Václav Zeman

Vojtech Svátek

Semantic Web, 2021

A review of possible effects of cognitive biases on interpretation of rule-based machine learning models.

[BibT_eX]

[DOI]

Stepán Bahník

Artif. Intell., 2021

2020

On cognitive preferences and the plausibility of rule-based models.

[BibT_eX]

[DOI]

Heiko Paulheim

Mach. Learn., 2020

Editable machine learning models? A rule-based framework for user studies of explainability.

[BibT_eX]

[DOI]

Stanislav Vojír

Adv. Data Anal. Classif., 2020

Action Rules: Counterfactual Explanations in Python.

[BibT_eX]

[DOI]

Lukás Sýkora

Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School (RW 2020) 12th DecisionCAMP 2020 as part of Declarative AI 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June, 2020

2019

Associative Classification in R: arc, arulesCBA, and rCBA.

[BibT_eX]

[DOI]

R J., 2019

Advances in Machine Learning for the Behavioral Sciences.

[BibT_eX]

[DOI]

Stepán Bahník

CoRR, 2019

PyIDS - Python Implementation of Interpretable Decision Sets Algorithm by Lakkaraju et al, 2016.

[BibT_eX]

[DOI]

Jirí Filip

Proceedings of the 13th RuleML+RR 2019 Doctoral Consortium and Rule Challenge, September 16-19, 2019, 2019

Tuning Hyperparameters of Classification Based on Associations (CBA).

[BibT_eX]

[DOI]

Proceedings of the 19th Conference Information Technologies, 2019

2018

EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Antonyms are similar: Towards paradigmatic association approach to rating similarity in SimLex-999 and WordSim-353.

[BibT_eX]

[DOI]

Ondrej Zamazal

Data Knowl. Eng., 2018

On Cognitive Preferences and the Interpretability of Rule-based Models.

[BibT_eX]

[DOI]

Heiko Paulheim

CoRR, 2018

RdfRules Preview: Towards an Analytics Engine for Rule Mining in RDF Knowledge Graphs.

[BibT_eX]

[DOI]

Vaclav Zeman

Vojtech Svátek

Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018

Classification based on Associations (CBA) - A Performance Analysis.

[BibT_eX]

[DOI]

Jirí Filip

Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018

The Need for Interpretability Biases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017

Effect of cognitive biases on human understanding of rule-based machine learning models.

[BibT_eX]

[DOI]

PhD thesis, 2017

InBeat: JavaScript recommender system supporting sensor input and linked data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Quantitative CBA: Small and Comprehensible Association Rule Classification Models.

[BibT_eX]

[DOI]

CoRR, 2017

Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project.

[BibT_eX]

[DOI]

Proceedings of the Doctoral Consortium, 2017

Outlier (Anomaly) Detection Modelling in PMML.

[BibT_eX]

[DOI]

Adam Ashenfelter

Proceedings of the Doctoral Consortium, 2017

EasyMiner - Short History of Research and Current Development.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference on Information Technologies, 2017

2016

LHD 2.0: A text mining approach to typing entities in knowledge graphs.

[BibT_eX]

[DOI]

Ondrej Zamazal

J. Web Semant., 2016

Crowdsourced Corpus with Entity Salience Annotations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Linked hypernyms: Enriching DBpedia with Targeted Hypernym Discovery.

[BibT_eX]

[DOI]

J. Web Semant., 2015

EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R.

[BibT_eX]

[DOI]

Proceedings of the RuleML 2015 Challenge, 2015

A Brief Overview of Rule Learning.

[BibT_eX]

[DOI]

Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Benchmark of Rule-Based Classifiers in the News Recommendation Task.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

Multimodal Fusion: Combining Visual and Textual Cues for Concept Detection in Video.

[BibT_eX]

[DOI]

Damianos Galanopoulos

Proceedings of the Multimedia Data Mining and Analytics - Disruptive Innovation, 2015

2014

Business Rule Learning with Interactive Selection of Association Rules.

[BibT_eX]

[DOI]

Stanislav Vojír

Premysl Václav Duben

Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium hosted by the 8th International Web Rule Symposium, 2014

Learning Business Rules with Association Rule Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Rules on the Web. From Theory to Applications, 2014

Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery.

[BibT_eX]

[DOI]

Ondrej Zamazal

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Orwellian Eye: Video Recommendation with Microsoft Kinect.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

InBeat: Recommender System as a Service.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Wikipedia Search as Effective Entity Linking Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Sixth Text Analysis Conference, 2013

Datasets, GATE Evaluation Framework for Benchmarking Wikipedia-Based NER Systems.

[BibT_eX]

[DOI]

Milan Dojchinovski

Proceedings of the NLP & DBpedia workshop co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

Transforming Association Rules to Business Rules: EasyMiner meets Drools.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the 7th International Rule Challenge, 2013

GAIN: web service for user tracking and preference learning - a smart TV use case.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia.

[BibT_eX]

[DOI]

Milan Dojchinovski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

KINterestTV - Towards Non-invasive Measure of User Interest While Watching TV.

[BibT_eX]

[DOI]

Proceedings of the Innovative and Creative Developments in Multimodal Interaction Systems, 2013

2012

Contextualised user profiling in networked media environments.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Association Rule Mining Following the Web Search Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

SEWEBAR-CMS: semantic analytical report authoring for data mining results.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2011

Automated matching of data mining dataset schemata to background knowledge.

[BibT_eX]

[DOI]

Proceedings of the 6th International Workshop on Ontology Matching, 2011

Instant Feedback on Discovered Association Rules with PMML-Based Query-by-Example.

[BibT_eX]

[DOI]

Andrej Hazucha

Tomás Marek

Proceedings of the Web Reasoning and Rule Systems - 5th International Conference, 2011

2010

An XML Format for Association Rule Models Based on the GUHA Method.

[BibT_eX]

[DOI]

Jan Rauch

Proceedings of the Semantic Web Rules - International Symposium, 2010

SEWEBAR-CMS: A System for Postprocessing Data Mining Models.

[BibT_eX]

[DOI]

Proceedings of the RuleML-2010 Challenge, 2010

Entity classification by bag of Wikipedia articles.

[BibT_eX]

[DOI]