Publications
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István Hegedűs, Lehel Nyers and Róbert Ormándi.
Detecting Concept Drift in Fully Distributed Environments.
In Proceedings of 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY'12, Subotica, Serbia, 2012.
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István Hegedűs, Róbert Ormándi and Márk Jelasity.
Gossip-based Learning under Drifting Concepts in Fully Distributed Networks.
In Proceedings of 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems, SASO'12, Lion, France, 2012.
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István Hegedűs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity and Balázs Kégl.
Peer-to-Peer Multi-Class Boosting.
In Proceedings of 18th International European Conference on Parallel and Distributed Computing, EuroPar'12, Rhodes, Greece, 2012.
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- Róbert Ormándi, István Hegedűs and Márk Jelasity.
Gossip learning with linear models on fully distributed data.
In Concurrency and Computation: Practice and Experience, CPE, 2012.
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arxiv |
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Róbert Ormándi, István Hegedűs and Márk Jelasity.
Asynchronous Peer-to-peer Data Mining with Stochastic Gradient Descent.
In Proceedings of 17th International European Conference on Parallel and Distributed Computing, EuroPar'11, Bordeux, France, 2011.
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- Róbert Ormándi, István Hegedűs, Kornél Csernai and Márk Jelasity.
Towards inferring ratings from user behavior in bittorrent communities.
In Proceedings of the 2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE '10, pages 217-222, Washington, DC, USA, 2010. IEEE Computer Society.
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- István Hegedűs, Róbert Ormándi, Richárd Farkas and Márk Jelasity.
Novel balanced feature representation for Wikipedia vandalism detection task.
In CLEF 2010 Labs and Workshops, 2010.
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CLEF 2010 ]
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Róbert Ormándi, István Hegedűs and Richárd Farkas.
Opinion mining by transformation-based domain adaptation.
In Proceedings of the 13th international conference on Text, speech and dialogue, TSD'10, pages 157-164, Berlin, Heidelberg, 2010. Springer-Verlag.
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supplementary materials |
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Róbert Ormándi, István Hegedűs and Márk Jelasity.
Overlay management for fully distributed user-based collaborative filtering.
In Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I, EuroPar'10, pages 446-457, Berlin, Heidelberg, 2010. Springer-Verlag.
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Richárd Farkas, György Szarvas, István Hegedűs, Attila Almási, Veronika Vincze, Róbert Ormándi and Róbert Busa-Fekete.
Semi-automated construction of decision rules to predict morbidities from clinical texts.
Journal of the American Medical Informatics Association, 16(4):601 - 605, 2009.
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DOI ]
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Róbert Ormándi.
Variance minimization least squares support vector machines for time series analysis.
In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pages 965-970, Washington, DC, USA, 2008. IEEE Computer Society.
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Richárd Farkas, Róbert Ormándi, Márk Jelasity and János Csirik.
A manually annotated html corpus for a novel scientific trend analysis.
In The Eighth IAPR International Workshop on Document Analysis Systems, Nara (DAS2008), 2008. Extended abstracts.
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Richárd Farkas, Veronika Vincze, István Nagy, Róbert Ormándi, György Szarvas and Attila Almási.
Web-based lemmatisation of named entities.
In Proceedings of the 11th international conference on Text,Speech and Dialogue, TSD '08, pages 53-60, Berlin, Heidelberg, 2008. Springer-Verlag.
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DOI ]
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Veronika Vincze, György Szarvas, Attila Almási, Dóra Szauter, Róbert Ormándi, Richárd Farkas, Csaba Hatvani and János Csirik.
Hungarian word-sense disambiguated corpus.
In Proceedings of the Sixth International Language Resources and Evaluation (LREC'08), Marrakech, Morocco, may 2008. European Language Resources Association (ELRA).
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Richárd Farkas, György Szarvas and Róbert Ormándi.
Improving a state-of-the-art named entity recognition system using the world wide web.
In Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications, ICDM'07, pages 163-172, Berlin, Heidelberg, 2007. Springer-Verlag.
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Latest updates
- Machine Learning in Practice course slides and some motivation is available in the teaching section.
February 19, 2013
- My Twitter feed is linked to my page. I usually share ML related news and interesting-sometimes maybe funny or weird-posts.
February 18, 2013
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