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

Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing

Conference Proceeding
Tashu, T. M., Szabó, D., & Horváth, T. (2019)
Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. In Intelligent Tutoring Systems: 15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings (186-192). https://doi.org/10.1007/978-3-030-22244-4_23
Automated essay evaluation systems use machine learning models to predict the score for an essay. For such, a training essay set is required which is usually created by human ...

Intelligent On-line Exam Management and Evaluation System

Conference Proceeding
Tashu, T. M., Esclamado, J. P., & Horvath, T. (2019)
Intelligent On-line Exam Management and Evaluation System. In Intelligent Tutoring Systems. ITS 2019 (105-111). https://doi.org/10.1007/978-3-030-22244-4_14
Educational assessment plays a central role in the teaching-learning process as a tool for evaluating students’ knowledge of the concepts associated with the learning objectiv...

Swarm intelligence techniques in recommender systems - A review of recent research

Journal Article
Peška, L., Tashu, T. M., & Horváth, T. (2019)
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm and Evolutionary Computation, 48, 201-219. https://doi.org/10.1016/j.swevo.2019.04.003
One of the main current applications of Intelligent Systems are Recommender systems (RS). RS can help users to find relevant items in huge information spaces in a personalized...

New Trends in Databases and Information Systems: ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings

Conference Proceeding
(2018)
New Trends in Databases and Information Systems: ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings. In A. Benczúr, B. Thalheim, . T. Horváth, . S. Chiusano, T. Cerquitelli, C. Sidló, & P. Z. Revesz (Eds.), . https://doi.org/10.1007/978-3-030-00063-9

Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings

Conference Proceeding
(2018)
Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings. In A. Benczúr, B. Thalheim, & T. Horváth (Eds.), Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-98398-1

A General Introduction to Data Analytics

Book
Moreira, J. M., Carvalho, A. C. P. L. F., & Horváth, T. (2019)
A General Introduction to Data Analytics. Wiley. https://doi.org/10.1002/9781119296294

Evolutionary computing in recommender systems: a review of recent research

Journal Article
Horváth, T., & de Carvalho, A. C. P. L. F. (2017)
Evolutionary computing in recommender systems: a review of recent research. Natural Computing, 16(3), 441-462. https://doi.org/10.1007/s11047-016-9540-y
One of the main current applications of intelligent systems is recommender systems (RS). RS can help users to find relevant items in huge information spaces in a personalized ...

Ranking Formal Concepts by Utilizing Matrix Factorization

Journal Article
Pisková, L., Horvath, T., & Krajči, S. (2014)
Ranking Formal Concepts by Utilizing Matrix Factorization. Studia Universitatis Babes-Bolyai Informatica, 59(Special Issue 2), 62-79
Formal Concept Analysis often produce huge number of formal concepts even for small input data. Such a large amount of formal concepts, which is intractable to analyze for hum...

Buried pipe localization using an iterative geometric clustering on GPR data

Journal Article
Janning, R., Busche, A., Horváth, T., & Schmidt-Thieme, L. (2014)
Buried pipe localization using an iterative geometric clustering on GPR data. Artificial Intelligence Review, 42(3), 403-425. https://doi.org/10.1007/s10462-013-9410-2
Ground penetrating radar is a non-destructive method to scan the shallow subsurface for detecting buried objects like pipes, cables, ducts and sewers. Such buried objects caus...

Factorization Techniques for Predicting Student Performance

Book Chapter
Thai-Nghe, N., Drumond, L., Horváth, T., Krohn-Grimberghe, A., Nanopoulos, A., & Schmidt-Thieme, L. (2012)
Factorization Techniques for Predicting Student Performance. In O. C. Santos, & J. G. Boticario (Eds.), Educational Recommender Systems and Technologies: Practices and Challenges (129-153). IGI Global. https://doi.org/10.4018/978-1-61350-489-5.ch006
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning for recommending learning objects (e.g. papers) to s...