Personalised Graph-Based Selection of Web APIs. - Milan Dojchinovski; Jaroslav Kuchar; Tomas Vitvar; Maciej Zaremba (ISWC (1), 2012)

Contextualised user profiling in networked media environments. - Dorothea Tsatsou; Lyndon J. B. Nixon; Matei Mancas; Miroslav Vacura; Rüdiger Klein; Julien Leroy 001; Jaroslav Kuchar; Tomás Kliegr; Manuel Kober; Maria Loli; Vasileios Mezaris (UMAP Workshops, 2012)

KINterestTV - Towards Non-invasive Measure of User Interest While Watching TV. - Julien Leroy 001; François Rocca; Matei Mancas; Radhwan Ben Madhkour; Fabien Grisard; Tomás Kliegr; Jaroslav Kuchar; Jakub Vit; Ivan Pirner; Petr Zimmermann (eNTERFACE, 2013)

GAIN: web service for user tracking and preference learning - a smart TV use case. - Jaroslav Kuchar; Tomás Kliegr (RecSys, 2013)

InBeat: Recommender System as a Service. - Jaroslav Kuchar; Tomás Kliegr (CLEF (Working Notes), 2014)

Orwellian Eye: Video Recommendation with Microsoft Kinect. - Tomás Kliegr; Jaroslav Kuchar (ECAI, 2014)

Learning Business Rules with Association Rule Classifiers. - Tomás Kliegr; Jaroslav Kuchar; Davide Sottara; Stanislav Vojír (RuleML, 2014)

Benchmark of Rule-Based Classifiers in the News Recommendation Task. - Tomás Kliegr; Jaroslav Kuchar (CLEF, 2015)

Augmenting a Feature Set of Movies Using Linked Open Data. - Jaroslav Kuchar (Challenge+DC@RuleML, 2015)

EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R. - Stanislav Vojír; Vaclav Zeman; Jaroslav Kuchar; Tomás Kliegr (Challenge+DC@RuleML, 2015)

Time-aware Link Prediction in RDF Graphs. - Jaroslav Kuchar; Milan Dojchinovski; Tomas Vitvar (WEBIST, 2015)

Exploiting Temporal Dimension in Tensor-Based Link Prediction. - Jaroslav Kuchar; Milan Dojchinovski; Tomas Vitvar (WEBIST (Revised Selected Papers), 2015)

News Recommender System based on Association Rules @ CLEF NewsREEL 2017. - Christián Golian; Jaroslav Kuchar (CLEF (Working Notes), 2017)

EasyMiner - Short History of Research and Current Development. - Tomás Kliegr; Jaroslav Kuchar; Stanislav Vojír; Václav Zeman (ITAT, 2017)

Spotlighting Anomalies using Frequent Patterns. - Jaroslav Kuchar; Vojtech Svátek (ADF@KDD, 2017)

Outlier (Anomaly) Detection Modelling in PMML. - Jaroslav Kuchar; Adam Ashenfelter; Tomás Kliegr (RuleML+RR (Supplement), 2017)

Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project. - Stanislav Vojír; Vaclav Zeman; Jaroslav Kuchar; Tomás Kliegr (RuleML+RR (Supplement), 2017)

InBeat: JavaScript recommender system supporting sensor input and linked data. - Jaroslav Kuchar; Tomás Kliegr (Knowl. Based Syst., 2017)

Framework for Distributed Computing on the Web. - Jakub Siller; Jaroslav Kuchar (ITAT, 2018)

Dolování z otevřených dat o rozpočtech a výdajích. - David Chudán; Vojtech Svátek; Jaroslav Kuchar; Stanislav Vojír (Acta Informatica Pragensia, 2018)

EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets. - Stanislav Vojír; Vaclav Zeman; Jaroslav Kuchar; Tomás Kliegr (Knowl. Based Syst., 2018)

Tuning Hyperparameters of Classification Based on Associations (CBA). - Tomás Kliegr; Jaroslav Kuchar (ITAT, 2019)

Vertical Search Blending: A Real-world Counterfactual Dataset. - Pavel Procházka; Matej Kocián; Jakub Drdák; Jan Vrsovský; Vladimír Kadlec; Jaroslav Kuchar (SIGIR, 2019)

Associative Classification in R: arc, arulesCBA, and rCBA. - Michael Hahsler; Ian Johnson; Tomás Kliegr; Jaroslav Kuchar (R J., 2019)

Combining Models for Better User Satisfaction in Video Recommendation. - Josef Florian; Jakub Drdák; Radek Tomsu; Karel Koupil; Václav Blahut; Jaroslav Kuchar; Michal Rehor (ORSUM@RecSys, 2020)

Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map. - Daniil Fedotov; Jaroslav Kuchar; Tomas Vitvar (ICSOC (1), 2023)

Anomaly Detection in Log Streams Based on Time-Contextual Models. - Daniil Fedotov; Jaroslav Kuchar; Tomas Vitvar (WISE (5), 2024)