Tomas Horvath
tomas horvath

Dr Tomas Horvath

  

Biography

Dr. Tomáš Horváth received his MSc and PhD degrees at the Pavol Jozef Šafárik University in Košice, Slovakia, in 2002 and 2008, respectively, in the area of relational learning. Since 2004, he is a the member of the faculty of the Institute of Computer Science of the Faculty of Science at this university. 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 where he was working in the area of recommender systems with applications in education. From 2015 to 2016 he received a post-doc grant at the Department of Computer Science, University of São Paulo in São Carlos, Brazil, where he started to work on automated machine learning with focus on hyper-parameter learning. From 2016 until 2024, he was working as an associate professor at the Faculty of Informatics at the Eötvös Loránd University in Budapest, Hungary where he built the Department of Data Science and Engineering of which he was the head of for more than 6 years. He was continuing to work on automated working on automated machine learning and started to work on applied machine learning for the agriculture domain. From 2024 he is a professor of artificial intelligence at the Edinburgh Napier University, Scotland, UK.

His research interests include relational and rule-based learning, pattern mining, recommender systems, automated machine learning and precision farming.

Esteem

Advisory panels and expert committees or witness

  • Steering Committee Member of the European Conference on Advances in Databases and Information Systems
  • Steering committee member of the Conference Information technologies -- Applications and Theory

 

Editorial Activity

  • Associate Editor of the International Journal of Intelligent Data Analysis

 

Fellowships and Awards

  • Best Paper Award at the 22nd International Conference on Intelligent Data Engineering and Automated Learning, Manchester, UK
  • Best Student Paper Award of the 11thInternational Conference on Computer Supported Education, Noordwijkerhout, The Netherlands
  • Best Student Paper Award of the 3rd International Conference on Computer Supported Education, Noordwijkerhout, The Netherlands

 

Invited Speaker

  • Invited lecture on the 3rd Seminar on Digital Agriculture, Osijek, Croatia
  • Invited lecture on the 4th Seminar on Digital Agriculture, Osijek, Croatia
  • Invited talk at the conference Dáta a Znalosti & WIKT, Košice, Slovak Republik
  • Invited talk at the Machine Learning Meetup in, Košice, Slovakia
  • Invited lecture at the Summer School on Autonomous Driving at University of Maribor, Slovenia
  • Invited talk at Charles University in Prague, Czech Republic
  • Tutorial at the conference Znalosti, Mikulov, Czech Republic
  • Invited lecture at University of Malaga, Spain

 

Date


36 results

GRAMOFON: General model-selection framework based on networks

Journal Article
Buza, K., Nanopoulos, A., Horváth, T., & Schmidt-Thieme, L. (2012)
GRAMOFON: General model-selection framework based on networks. Neurocomputing, 75(1), 163-170. https://doi.org/10.1016/j.neucom.2011.02.026
Ensembles constitute one of the most prominent class of hybrid prediction models. One basically assumes that different models compensate each other's errors if one combines th...

A Model of User Preference Learning for Content-Based Recommender Systems

Journal Article
Horvath, T. (2009)
A Model of User Preference Learning for Content-Based Recommender Systems. Computing and Informatics, 28(4), 1001-1029
This paper focuses to a formal model of user preference learning for content-based recommender systems. First, some fundamental and special requirements to user preference lea...

User Preference Web Search -- Experiments with a System Connecting Web and User

Journal Article
Gurský, P., Horvath, T., Jirásek, J., Krajči, S., Novotny, R., Pribolová, J., …Vojtáš, P. (2009)
User Preference Web Search -- Experiments with a System Connecting Web and User. Computing and Informatics, 28(4), 1001-1033
We present models, methods, implementations and experiments with a system enabling personalized web search for many users with different preferences. The system consists of a ...

Knowledge Processing for Web Search – An Integrated Model and Experiments

Journal Article
Gurský, P., Horvath, T., Jirásek, J., Novotny, R., Pribolová, J., Vaneková, V., & Vojtáš, P. (2008)
Knowledge Processing for Web Search – An Integrated Model and Experiments. Scalable Computing: Practice and Experience, 9(1), 51-59
We propose a model of a middleware system enabling personalized web search for users with different preferences. We integrate both inductive and deductive tasks to find user p...

Integration of two fuzzy data mining methods

Journal Article
Horvath, T., & Krajči, S. (2004)
Integration of two fuzzy data mining methods. Neural Network World, 14(5), 391-402
The cluster analysis and the formal concept analysis are both used to identify significiant groups of similar objects. Rice & Siff's algorithm for the clustering joins these t...

An ILP model for a monotone graded classification problem

Journal Article
Vojtáš, P., Horvath, T., Krajči, S., & Lencses, R. (2004)
An ILP model for a monotone graded classification problem. Kybernetika, 40(3), 317-332
Motivation for this paper are classification problems in which data can not be clearly divided into positive and negative examples, especially data in which there is a monoton...