Dr. Tomáš Horváth
|Name: Dr. Tomáš Horváth
Position: Department Head
Phone: +36 1 372 2500 ext. 8191
E-mail: tomas (dot) horvath (at) inf (dot) elte (dot) hu
Dr. Tomáš Horváth is the head of the newly established Data Science and Engineering Department at the Eötvös Loránd University in Budapest, Hungary, since September 2016. Here received his MSc and PhD degrees at the Pavol Jozef Šafárik University in Košice, Slovak Republic, in 2002 and 2008, respectively. He was on a post-doc internship at the Information Systems and Machine Learning lab of the University in Hildesheim, Germany, from 2009 to 2012. From 2015 to 2016 he received a post-doc grant at the Department of Computer Science, University of São Paulo in São Carlos, Brazil. He was a co-ordinator or work package manager of several projects, among others the Center of of knowledge and information systems in Košice, supported by the structural funds of EU. He is an author/co-author of more than 50 conference papers or journal articles, serves as program and steering committee member of two Czech-Slovak conferences and as a reviewer/external reviewer of several international conferences and journals. His research interests include relational learning, rule-based and monotone classification techniques, pattern mining, recommender systems and personalization. Recently, he is focusing his work on meta-learning techniques and automated machine learning approaches.
Research interests: Meta-learning, Recommendation Techniques, Bio-inspired Computing, Machine Learning.
L. Peška, T. Misikir Tashu, T. Horváth: “Swarm Intelligence Techniques in Recommender Systems – A Review of Recent Research”. SWARM AND EVOLUTIONARY COMPUTATION, Volume 48, Elsevier, 2019, ISSN 2210-6502, p: 201-219 (download the article)
J. M. Moreira, A. de Carvalho, T. Horváth: “A General Introduction to Data Analytics”: Wiley, 2018. ISBN: 978-1-119-29626-3. (site of the book)
T. Misikir Tashu, T. Horváth: “Pair-Wise: Automatic Essay Evaluation using Word Mover’s Distance “. In: Bruce M. McLaren, James Uhomoibhi, Rob Reilly, Susan Zvacek (Eds.): Proceedings of CSEDU 2018; SCITEPRESS, 2018. ISBN: 978-989-758-291-2 BEST STUDENT PAPER AWARD! (download manuscript) (link to proceedings)
T. Horváth, R.G. Mantovani, A C P L F de Carvalho (2017): “Effects of Random Sampling on SVM Hyper-parameter Tuning”. Intelligent Systems Design and Applications (Advances in Intelligent Systems and Computing vol. 557) Springer International Publishing, ISBN:978-3-319-53479-4 (link to proceedings)
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