Jaroslav Kuchar

According to our database, Jaroslav Kuchar authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Anomaly Detection in Log Streams Based on Time-Contextual Models.

Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

2023

Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map.

Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

2020

Combining Models for Better User Satisfaction in Video Recommendation.

Josef Florian, Jakub Drdák, Radek Tomsu, Karel Koupil, Václav Blahut, Jaroslav Kuchar, Michal Rehor

Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019

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

Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar

R J., 2019

Vertical Search Blending: A Real-world Counterfactual Dataset.

Pavel Procházka, Matej Kocián, Jakub Drdák, Jan Vrsovský, Vladimír Kadlec, Jaroslav Kuchar

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Tuning Hyperparameters of Classification Based on Associations (CBA).

Tomás Kliegr, Jaroslav Kuchar

Proceedings of the 19th Conference Information Technologies, 2019

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

Dolování z otevřených dat o rozpočtech a výdajích.

David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír

Acta Informatica Pragensia, 2018

Framework for Distributed Computing on the Web.

Jakub Siller, Jaroslav Kuchar

Proceedings of the 18th Conference Information Technologies, 2018

2017

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

Jaroslav Kuchar, Tomás Kliegr

Knowl. Based Syst., 2017

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

Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr

Proceedings of the Doctoral Consortium, 2017

Outlier (Anomaly) Detection Modelling in PMML.

Jaroslav Kuchar, Adam Ashenfelter, Tomás Kliegr

Proceedings of the Doctoral Consortium, 2017

Spotlighting Anomalies using Frequent Patterns.

Jaroslav Kuchar, Vojtech Svátek

Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

EasyMiner - Short History of Research and Current Development.

Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman

Proceedings of the 17th Conference on Information Technologies, 2017

News Recommender System based on Association Rules @ CLEF NewsREEL 2017.

Christián Golian, Jaroslav Kuchar

Proceedings of the Working Notes of CLEF 2017, 2017

2015

Exploiting Temporal Dimension in Tensor-Based Link Prediction.

Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar

Proceedings of the Web Information Systems and Technologies, 2015

Time-aware Link Prediction in RDF Graphs.

Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar

Proceedings of the WEBIST 2015, 2015

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

Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr

Proceedings of the RuleML 2015 Challenge, 2015

Augmenting a Feature Set of Movies Using Linked Open Data.

Jaroslav Kuchar

Proceedings of the RuleML 2015 Challenge, 2015

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

Tomás Kliegr, Jaroslav Kuchar

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

2014

Learning Business Rules with Association Rule Classifiers.

Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír

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

Orwellian Eye: Video Recommendation with Microsoft Kinect.

Tomás Kliegr, Jaroslav Kuchar

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.

Jaroslav Kuchar, Tomás Kliegr

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

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

Jaroslav Kuchar, Tomás Kliegr

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

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

Julien Leroy, François Rocca, Matei Mancas, Radhwan Ben Madhkour, Fabien Grisard, Tomás Kliegr, Jaroslav Kuchar, Jakub Vit, Ivan Pirner, Petr Zimmermann

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

2012

Contextualised user profiling in networked media environments.

Dorothea Tsatsou, Lyndon J. B. Nixon, Matei Mancas, Miroslav Vacura, Rüdiger Klein, Julien Leroy, Jaroslav Kuchar, Tomás Kliegr, Manuel Kober, Maria Loli, Vasileios Mezaris

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

Personalised Graph-Based Selection of Web APIs.

Milan Dojchinovski, Jaroslav Kuchar, Tomas Vitvar, Maciej Zaremba

Proceedings of the Semantic Web - ISWC 2012, 2012