DBLP | Google Scholar | ORCID | Mendeley | Lirias
Decroos, T., Van Haaren, J., Dzyuba, V., Davis, J. (2017). STARSS: A spatio-temporal action rating system for soccer. Proceedings of ECML/PKDD MLSA workshop.
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Ukkonen, A., Dzyuba, V., van Leeuwen, M. (2017). Explaining deviating subsets through explanation networks. Proceedings of ECML/PKDD.
Web | PDF | Code | Slides | BibTeX
Dzyuba, V. (2017). Mine, Interact, Learn, Repeat: Interactive pattern-based data exploration. PhD thesis. De Raedt, L. (supervisor), van Leeuwen, M. (co-supervisor).
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Dzyuba, V., van Leeuwen, M., De Raedt, L. (2017). Flexible constrained sampling with guarantees for pattern mining. Data Mining and Knowledge Discovery.
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Dzyuba, V., van Leeuwen, M. (2017). Learning what matters — Sampling interesting patterns. Proceedings of PAKDD.
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Extended version: ArXiV | PDF | BibTeX
Decroos, T., Dzyuba, V., Van Haaren, J., Davis, J. (2017). Predicting soccer highlights from spatio-temporal match event streams. Proceedings of AAAI.
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Van Haaren, J., Dzyuba, V., Hannosset, S., Davis, J. (2015). Automatically discovering offensive patterns in soccer match data. Proceedings of IDA.
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Dzyuba, V., van Leeuwen, M., Nijssen, S., De Raedt, L. (2014). Interactive learning of pattern rankings. International Journal on Artificial Intelligence Tools.
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Dzyuba, V., van Leeuwen, M., Nijssen, S., De Raedt, L. (2013). Active preference learning for ranking patterns. Proceedings of ICTAI.
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Dzyuba, V., van Leeuwen, M. (2013). Interactive discovery of interesting subgroup sets. Proceedings of IDA.
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Other materials
Who’s winning it? Forecasting sports tournaments. Project supervised at Summer School of Science for high-school students in Požega, Croatia on July 19-27, 2017.
Notebook
Mining soccer data. Presented at DTAI Seminar in KU Leuven on March 21, 2016.
Slides
Mine, Interact, Learn, Repeat. Guest lecture in University of Antwerp on March 15, 2016.
Slides
Analysing IDA 2014 reviewing process. PhD poster presented at IDA’2014 in Leuven on October 30, 2014.
Poster
Interactive pattern mining: Mine, Interact, Learn, Repeat. Presented at DTAI Seminar in KU Leuven on October 6, 2014.
Slides
Interactive data mining: Algorithms that adapt to interests of a user. Presented at LICT Symposium “Adaptivity in ICT” in KU Leuven on September 11, 2014.
Poster