Chudán, D.; Svátek, V.; Kuchař, J.; Vojíř, S. Dolování z otevřených dat o rozpočtech a výdajích Acta Informatica Pragensia. 2017, 7(1), 58-73. ISSN 1805-4951.
Vojíř, S.; Zeman, V.; Kuchař, J.; Kliegr, T.
Využití EasyMiner API v projektu OpenBudgets.eu In: Data a znalosti 2017. Plzeň: Západočeská univerzita v Plzni, 2017. pp. 56-60. ISBN 978-80-261-0720-0.
Golian, C.; Kuchař, J. Recommending News Articles using Rule-based Classifier In: Data a znalosti 2017. Plzeň: Západočeská univerzita v Plzni, 2017. pp. 51-55. ISBN 978-80-261-0720-0.
Kuchař, J.; Svátek, V. Spotlighting Anomalies using Frequent Patterns In: KDD 2017 Workshop on Anomaly Detection in Finance. Proceedings of Machine Learning Research, 2018. pp. 33-42. vol. 71.
Kliegr, T.; Kuchař, J.; Vojíř, S.; Zeman, V. EasyMiner – Short History of Research and Current Development In: ITAT 2017: Information Technologies – Applications and Theory. Aachen: CEUR Workshop Proceedings, 2017. pp. 235-239. vol. 1885. ISSN 1613-0073.
Golian, C.; Kuchař, J. News Recommender System based on Association Rules @ CLEF NewsREEL 2017 In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum. Aachen: CEUR Workshop Proceedings, 2017. vol. 1866. ISSN 1613-0073.
Kuchař, J.; Kliegr, T. InBeat: JavaScript recommender system supporting sensor input and linked data Knowledge-Based Systems. 2017, 135 40-43. ISSN 0950-7051.
Vojíř, S.; Zeman, V.; Kuchař, J.; Kliegr, T.
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project In: RuleML+RR 2017 - Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters. Aachen: CEUR Workshop Proceedings, 2017. vol. 1875. ISSN 1613-0073.
Kuchař, J.; Ashenfelter, A.; Kliegr, T. Outlier (Anomaly) Detection Modelling in PMML In: RuleML+RR 2017 - Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters. Aachen: CEUR Workshop Proceedings, 2017. vol. 1875. ISSN 1613-0073.
Zeman, V.; Vojiř, S.; Kuchař, J.; Kliegr, T. Využití cloudu pro dolování asociačních pravidel z velkých dat přes webové rozhraní In: Proceedings in Informatics and Information Technologies - (WIKT & DaZ 2016) 11th Workshop on Intelligent and Knowledge Oriented Technologies 35th Conference on Data and Knowledge. Bratislava: Vydavatel'stvo STU, 2016. pp. 259-263. ISBN 978-80-227-4619-9.
Filipová, M.; Kuchař, J. Analýza článků z českých zpravodajských serverů In: Proceedings in Informatics and Information Technologies - (WIKT & DaZ 2016) 11th Workshop on Intelligent and Knowledge Oriented Technologies 35th Conference on Data and Knowledge. Bratislava: Vydavatel'stvo STU, 2016. pp. 97-101. ISBN 978-80-227-4619-9.
Kuchař, J.; Dojčinovski, M.; Vitvar, T. Exploiting Temporal Dimension in Tensor-Based Link Prediction. In: Web Information Systems and Technologies. Cham: Springer International Publishing, 2016. pp. 211-231. Lecture Notes in Business Information Processing. ISSN 1865-1348. ISBN 978-3-319-30995-8.
Kliegr T., Kuchař J.:
Benchmark of Rule-based Classifiers in the News Recommendation Task Experimental IR Meets Multilinguality, Multimodality, and Interac- tion - 6th International Conference of the CLEF Association, CLEF 2015, Toulouse, France. Volume 9283, p. 130-141. Published by Springer, 2015. link
Vojíř S., Zeman V., Kuchař J., Kliegr T.:
EasyMiner/R: Web Interface for Rule Learning and Classification in R Proceedings of the RuleML 2015 Challenge , Berlin, Germany. Published by CEUR Workshop Proceedings, 2015. pdf
Kuchař J.:
Augmenting a Feature Set of Movies Using Linked Open Data,
Proceedings of the RuleML 2015 Challenge, Berlin, Germany. Published by CEUR Workshop Proceedings, 2015pdf
Kuchař J., M. Dojchinovski, Vitvar T.:
Time-Aware Link Prediction in RDF Graphs,
WEBIST 2015 - Proceedings of the 11th International Conference on Web Information Systems and Technologies, Lisbon, Portugal, May, p. 390-401. Published by SciTePress 2015. link
Kuchař J., Kliegr T.
Bag-of-Entities text representation for client-side (video) recommender systems. In First Workshop on Recommender Systems for Television and online Video (RecSysTV), ACM RecSys 2014 Foster City, Silicon Valley, USA, 6th-10th October 2014 link
Kuchař J., Kliegr T.
Doporučování multimediálního obsahu s využitím senzoru Microsoft Kinect Znalosti 2014.13th Annual Conference, Jasná pod Chopkom, Nízké Tatry, Slovakia, ISBN 978-80-245-2054-4, 2014 link
Kuchař J., Kliegr T.
InBeat: News Recommender System as a Service @ CLEF-NEWSREEL’14 CLEF-NEWSREEL, CLEF 2014 Conference on Multilingual and Multimodal Information Access Evaluation, Sheffield, UK, 2014 link
Kliegr T., Kuchař J.
Orwellian Eye: Video Recommendation with Microsoft Kinect Conference on Prestigious Applications of Intelligent Systems – PAIS 2014, ECAI 2014, Prague, Czech Republic link
Kliegr T., Kuchař J., Sottara D., Vojir S.
Learning Business Rules with Association Rule Classifiers. The 8th International Web Rule Symposium: RuleML 2014 - ECAI 2014, Prague, Czech Republic link
Leroy, J., Rocca, F., Mancas, M., Madhkour, R., Grisard, F., Kliegr, T., Kuchar, J., Vit, J., Pirner, I., and Zimmermann P.
KINterestTV - Towards Non–invasive Measure of User Interest While Watching TV.
Innovative and Creative Developments in Multimodal Interaction Systems . Eds. Y. Rybarczyk, T. Cardoso, J. Rosas, and L. Camarinha-Matos. Springer, 2014. link
Kuchař J., Kliegr T.
GAIN: web service for user tracking and preference learning – a SMART TV use case.
In Proceedings of the 7th ACM Recommender Systems Conference (RecSys 2013), Hong Kong, China. ACM, New York, NY, USA, 467-468. link
D. Tsatsou, M. Mancas, J. Kuchař, L. Nixon, M. Vacura, J. Leroy, F. Rocca, V. Mezaris.
When TV meets the Web: towards personalised digital media.
In Semantic Multimedia Analysis and Processing, Evangelos Spyrou, Dimitrios Iakovidis, Phivos Mylonas (Eds.). Crc Pr I Llc, to be published, July 2014. ISBN 978-1-4665-7549-3. link
Kuchař J., Kliegr T.:
GAIN: Analysis of Implicit Feedback on Semantically Annotated Content ,
7th Workshop on Intelligent and Knowledge Oriented Technologies, Smolenice, Slovakia, 2012, link
M. Dojchinovski, J. Kuchar, T. Vitvar, M. Zaremba:
Personalized Graph-based Selection of Web APIs,
The 11th International Semantic Web Conference, Boston, USA, Springer, 2012. pdf
D. Tsatsou, L. Nixon, M. Mancas, M. Vacura, R. Klein, J. Leroy, J. Kuchař, T. Kliegr, M. Kober, M. Loli, V. Mezaris.
Contextualised user profiling in networked media environments ,
In Proc. 2nd International Workshop on Augmented User Modeling in conjunction with 20th Conference on User Modeling, Adaptation and Personalization (UMAP 2012), Montreal, Canada, 16 – 20 July 2012. pdf
Kuchař, J., Web Usage Mining Ph.D. Minimum Thesis, Faculty of Electrical Engineering, Prague, Czech Republic, 2011.
Kuchař, J. - Jelínek, I.,
Dynamical online modeling of web user behaviour in adaptive web,
In: Workshop 2011 [CD-ROM]. Praha: České vysoké učení technické v Praze, 2011. link
Kuchař, J. - Jelínek, I.,
Learning Semantic Web Usage Profiles by Using Genetic Algorithms,
In: International Journal on Information Technologies and Security. 2011, vol. 3, no. 4, p. 3-20. ISSN 1313-8251. link
Kuchař, J. - Jelínek, I.,
Scoring Pageview Based on Learning Weight Function,
In: International Journal on Information Technologies and Security. 2010, vol. 2, no. 4, p. 19-28. ISSN 1313-8251. link