Tomas Horvath

  • Endereço para acessar este CV: http://lattes.cnpq.br/6406994870968800
  • Última atualização do currículo em 25/04/2016


Possui mestrado em Informatics pela Pavol Jozef Safárik University in Kosice(2002), doutorado em Informatics pela Pavol Jozef Safárik University in Kosice(2008) e pós-doutorado pela Universität Hildesheim(2012). Atualmente é post-doc da Universidade de São Paulo. Tem experiência na área de Ciência da Computação. Atuando principalmente nos seguintes temas:Inductive Logic Programming, Fuzzy Logic, Generalized Annotated Logic Programs, User Preference Learning, Recommender Systems e User Modeling. (Texto gerado automaticamente pela aplicação CVLattes)


Identificação


Nome
Tomas Horvath
Nome em citações bibliográficas
HORVATH, T.;Horváth Tomá?;Horváth, T.;HORVÁTH, TOMÁ?

Endereço


Endereço Profissional
Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação, Departamento de Ciências da Computação.
AC São Carlos
Centro
13560970 - São Carlos, SP - Brasil
Telefone: (16) 33739691


Formação acadêmica/titulação


2004 - 2008
Doutorado em Informatics.
Pavol Jozef Safárik University in Kosice, UPJS, Eslováquia.
Título: User Preference Learning by Induction of Fuzzy and Annotated Logic Programs, Ano de obtenção: 2008.
Orientador: Prof. Peter Vojtas.
Palavras-chave: Inductive Logic Programming; Fuzzy Logic; Generalized Annotated Logic Programs; User Preference Learning; Recommender Systems; User Modeling.
Grande área: Ciências Exatas e da Terra
1997 - 2002
Mestrado em Informatics.
Pavol Jozef Safárik University in Kosice, UPJS, Eslováquia.
Título: Induktívne logické programovanie a jeho fuzzy analógia,Ano de Obtenção: 2002.
Orientador: Prof. Peter Vojtas.
Palavras-chave: Inductive Logic Programming.
Grande área: Ciências Exatas e da Terra


Pós-doutorado


2009 - 2012
Pós-Doutorado.
Universität Hildesheim, H.H., Alemanha.
Grande área: Ciências Exatas e da Terra


Atuação Profissional



VSL Software, Ltd. Ko?ice, VSL, Eslováquia.
Vínculo institucional

2012 - 2015
Vínculo: , Enquadramento Funcional:


Slovak Technical University in Bratislava, STU, Eslováquia.
Vínculo institucional

2004 - 2007
Vínculo: , Enquadramento Funcional:


Pavol Jozef Safárik University in Kosice, UPJS, Eslováquia.
Vínculo institucional

2012 - 2015
Vínculo: Servidor Público, Enquadramento Funcional: Assistant Professor, Carga horária: 40, Regime: Dedicação exclusiva.

Vínculo institucional

2008 - 2009
Vínculo: Servidor Público, Enquadramento Funcional: Assistant Professor, Carga horária: 40, Regime: Dedicação exclusiva.

Vínculo institucional

2004 - 2008
Vínculo: Servidor Público, Enquadramento Funcional: Teaching assistant, Carga horária: 40, Regime: Dedicação exclusiva.

Vínculo institucional

2003 - 2004
Vínculo: Servidor Público, Enquadramento Funcional: Research assistant, Carga horária: 40, Regime: Dedicação exclusiva.


Joint Institute for Nuclear Research, JINR, Rússia.
Vínculo institucional

2014 - 2014
Vínculo: Servidor Público, Enquadramento Funcional: Visiting researcher, Carga horária: 40

Vínculo institucional

2014 - 2014
Vínculo: Servidor Público, Enquadramento Funcional: Visiting researcher, Carga horária: 40


Charles University in Prague, CU, República Tcheca.
Vínculo institucional

2012 - 2012
Vínculo: Professor Visitante, Enquadramento Funcional: Invited lecture, Carga horária: 10

Vínculo institucional

2007 - 2007
Vínculo: Colaborador, Enquadramento Funcional: Visiting researcher, Carga horária: 40


Universidad de Málaga, UMA, Espanha.
Vínculo institucional

2006 - 2006
Vínculo: Professor Visitante, Enquadramento Funcional: Invited lecture, Carga horária: 10
Outras informações
Erasmus Teachers mobility programme


Universidade de São Paulo, USP, Brasil.
Vínculo institucional

2015 - Atual
Vínculo: Bolsista, Enquadramento Funcional: post-doc, Carga horária: 40, Regime: Dedicação exclusiva.



Projetos de pesquisa


2014 - Atual
Supervised Educational Recommender System
Situação: Em andamento; Natureza: Pesquisa.
2013 - Atual
University Science Park TECHNICOM with focus on the innovation applications using knowledge based technologies
Situação: Em andamento; Natureza: Pesquisa.
2012 - 2015
Center of of knowledge and information systems in Ko?ice
Situação: Concluído; Natureza: Pesquisa.
2012 - 2014
Scalable computational methods for acquisition, analysis and organization of data with elements of uncertainty
Situação: Concluído; Natureza: Pesquisa.
2009 - 2011
Methods of the analysis of structured and unstructured data with elements of imperfection and their utilization in intelligent search
Situação: Concluído; Natureza: Pesquisa.
2009 - 2011
Center of excellence in computer science and knowledge systems
Situação: Concluído; Natureza: Pesquisa.
2009 - 2010
A flexible recommender system
Situação: Concluído; Natureza: Pesquisa.
2006 - 2008
Formal models motivated by requirements of semantic web and their experimental verification
Situação: Concluído; Natureza: Pesquisa.
2006 - 2006
Methods of semantic web
Situação: Concluído; Natureza: Pesquisa.
2005 - 2005
Dynamic search of the k best relevant objects
Situação: Concluído; Natureza: Pesquisa.
2004 - 2007
Tools for acquisition, organization and maintenance of knowledge in an environment of heterogeneous information resources
Situação: Concluído; Natureza: Pesquisa.
2003 - 2005
Intelligent search, transfer and process of information
Situação: Concluído; Natureza: Pesquisa.


Revisor de periódico


2010 - 2010
Periódico: Knowledge-Based Systems
2010 - 2010
Periódico: Knowledge-Based Systems
2011 - 2011
Periódico: Knowledge-Based Systems
2011 - 2011
Periódico: Knowledge-Based Systems
2015 - 2015
Periódico: Journal of Educational Data Mining


Áreas de atuação


1.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação.


Idiomas


Inglês
Compreende Bem, Fala Razoavelmente, Lê Bem, Escreve Razoavelmente.
Húngaro
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Eslovaco
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Tcheco
Compreende Bem, Fala Pouco, Lê Bem, Escreve Pouco.
Russo
Compreende Pouco, Fala Pouco, Lê Pouco, Escreve Pouco.


Produções



Produção bibliográfica
Citações

SCOPUS
Total de trabalhos:32
Total de citações:44
Horváth, Tomᚠ Data: 26/06/2015

Artigos completos publicados em periódicos

1.
1HORVÁTH, TOMÁ?2016HORVÁTH, TOMÁ?; DE CARVALHO, ANDRÉ C. P. L. F. . Evolutionary computing in recommender systems: a review of recent research. Natural Computing (Dordrecht. Online), v. -, p. 1-22, 2016.

2.
8PISKOVA, L.2014PISKOVA, L. ; HORVATH, T. ; KRAJČ . Ranking Formal Concepts by Utilizing Matrix Factorization. Studia Universitatis Babes-Bolyai Series Informatica, v. 59, p. 62-79, 2014.

3.
2JANNING, R.2013 JANNING, R. ; BUSCHE, A. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Buried Pipe Localization Using an Iterative Geometric Clustering on GPR Data. Artificial Intelligence Review, v. 42, p. 403-425, 2013.

4.
3BUZA, K.2012 BUZA, K. ; NANOPOULOS, A. ; HORVATH, T. ; SCHMIDT-THIEME, L. . GRAMOFON: General Model-selection Framework based on Networks. Neurocomputing (Amsterdam), v. 75, p. 163-170, 2012.

5.
4HORVATH, T.2009 HORVATH, T.. A Model of User Preference Learning for Content-Based Recommender Systems. Computing and Informatics, v. 28, p. 453-481, 2009.

6.
5GURSKÝ, P.2009GURSKÝ, P. ; HORVATH, T. ; JIRASEK, J. ; KRAJČ ; NOVOTNÝ, R. ; PRIBOLOVA, J. ; VANEKOVA, V. ; VOJTA?, P. . User Preference Web Search - Experiments with a System Connecting Web and User. Computing and Informatics, v. 28, p. 515-553, 2009.

7.
9GURSKÝ, P.2008GURSKÝ, P. ; HORVATH, T. ; JIRASEK, J. ; NOVOTNÝ, R. ; PRIBOLOVA, J. ; VANEKOVA, V. ; VOJTA?, P. . Knowledge Processing for Web Search ? An Integrated Model and Experiments. Scalable Computing. Practice and Experience, v. 9, p. 51-59, 2008.

8.
7HORVATH, T.2004HORVATH, T.; KRAJČ . Integration of two fuzzy data mining methods. Neural Network World (Prague), v. 14, p. 391-402, 2004.

9.
6HORVATH, T.2004HORVATH, T.; KRAJČ ; LENCSES, R. ; VOJTA?, P. . An ILP model for a graded classification problem. Kybernetika (Praha), v. 40, p. 317-332, 2004.

Livros publicados/organizados ou edições
1.
POKORNÝ, J. ; ?ALOUN, P. ; PARALIČ ; HORVATH, T. . Proceedings of joint Conferences Znalosti and Datakon 2013. 1. ed. Ostrava, Czech Reublic: V?B-Technical University Ostrava, 2013. 360p .

2.
HORVATH, T.. Proceedings of the Conference on Theory and Practice of Information Technologies. 1. ed. Ko?ice, Slovakia: Pavol Jozef ?afárik University, 2012. 69p .

3.
HORVATH, T.. Zborník príspevkov prezentovaných na konferencii Informačné technológie ? Aplikácie a Teória, ITAT 2012. 1. ed. Ko?ice, Slovakia: Pavol Jozef ?afárik University, 2012. 73p .

4.
BEDNAR, P. ; HORVATH, T. ; PARALIČ ; RAUBER, A. . Proceedings of the 6th Workshop on Data Analysis. 1. ed. Ko?ice, Slovakia: Elfa Academic Press, 2005. 99p .

Capítulos de livros publicados
1.
THAI-NGHE, N. ; DRUMOND, L. ; HORVATH, T. ; KROHN-GRIMBERGHE, A. ; NANOPOULOS, A. ; SCHMIDT-THIEME, L. . Factorization Techniques for Predicting Student Performance. In: Olga C. Santos; Jesus G. Boticario. (Org.). Educational Recommender Systems and Technologies: Practices and Challenges. 1ed.Hershey, Pennsylvania, USA: IGI-Global, 2011, v. , p. 129-153.

Trabalhos completos publicados em anais de congressos
1.
PERO, ?. ; HORVATH, T. . Comparison of Collaborative-Filtering Techniques for Small-Scale Student Performance Prediction Task. In: Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, 2015. Lecture Notes in Electrical Engineering, 2015. v. 313. p. 111-116.

2.
PISKOVA, L. ; HORVATH, T. . Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts. In: The 21st International Conference on Conceptual Structures, 2014. LECTURE NOTES IN COMPUTER SCIENCE, 2014. v. 8577. p. 245-259.

3.
BUSCHE, A. ; JANNING, R. ; HORVATH, T. ; SCHMIDT-THIEME, L. . A Unifying Framework for GPR Image Reconstruction. In: Data Analysis, Machine Learning and Knowledge Discovery, 2014, Hildesheim, Germany. Studies in Classification, Data Analysis, and Knowledge Organization, 2014. p. 325-332.

4.
PISKOVA, L. ; HORVATH, T. . Comparing Performance of Formal Concept Analysis and Closed Frequent Itemset Mining Algorithms on Real Data. In: 10th International Conference on Concept Lattices and Their Applications, 2013, La Rochelle, France. Proceedings of the 10th International Conference on Concept Lattices and Their Applications, 2013. p. 299-304.

5.
PERO, ?. ; HORVATH, T. . Opinion-Driven Matrix Factorization for Rating Prediction. In: 21st International Conference on User Modeling, Adaptation, and Personalization, 2013, Rome, Italy. LECTURE NOTES IN COMPUTER SCIENCE, 2013. v. 7899. p. 1-13.

6.
PERO, ?. ; HORVATH, T. . Detection of Inconsistencies in Student Evaluations. In: 5th International Conference on Computer Supported Education, 2013, Aachen, Germany. Proceedings of the 5th International Conference on Computer Supported Education, 2013. p. 246-249.

7.
PISKOVA, L. ; PERO, ?. ; HORVATH, T. ; KRAJČ . Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization. In: 9th International Conference on Concept Lattices and Their Applications, 2012, Malaga, Spain. Proceedings of the 9th International Conference on Concept Lattices and Their Applications, 2012. p. 33-44.

8.
JANNING, R. ; HORVATH, T. ; BUSCHE, A. ; SCHMIDT-THIEME, L. . GamRec: a Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. In: 8th International Conference on Artificial Intelligence Applications and Innovations, 2012, Halkidiki, Greece. IFIP Advances in Information and Communication Technology, 2012. v. 381. p. 347-356.

9.
BUSCHE, A. ; JANNING, R. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Some Improvements for Multi-Hyperbola Detection on GPR Data. In: LWA 2012 Conference of the joint forum of four special interest groups of the German Computer Science Society, 2012, Dortmund, Germany. LWA 2012 Conference of the joint forum of four special interest groups of the German Computer Science Society, 2012.

10.
DRUMOND, L. ; THAI-NGHE, N. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Factorization Techniques for Student Performance Classification and Ranking. In: 20th Conference on User Modeling, Adaptation, and Personalization, 2012, Montreal, Canada. CEUR - Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization, 2012. v. 872.

11.
THAI-NGHE, N. ; DRUMOND, L. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Using Factorization Machines for Student Modeling. In: 20th Conference on User Modeling, Adaptation, and Personalization, 2012, Montreal, Canada. CEUR - Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization, 2012. v. 872.

12.
JANNING, R. ; HORVATH, T. ; BUSCHE, A. ; SCHMIDT-THIEME, L. . Pipe Localization by Apex Detection. In: International Conference on Radar Systems, 2012, Glasgow, Scotland. Proceedings of the International Conference on Radar Systems, 2012. p. 1-6.

13.
HORVATH, T.; ECKHARDT, A. ; BUZA, K. ; VOJTA?, P. ; SCHMIDT-THIEME, L. . Value-transformation for Monotone Prediction by Approximating Fuzzy Membership Functions. In: 12th IEEE International Symposium on Computational Intelligence and Informatics, 2011, Budapest, Hungary. Proceedings of the 12th IEEE International Symposium on Computational Intelligence and Informatics, 2011. p. 367-372.

14.
THAI-NGHE, N. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Personalized Forecasting Student Performance. In: 11th IEEE International Conference on Advanced Learning Technologies, 2011, Athens, Georgia, USA. Proceedings of the 11th IEEE International Conference on Advanced Learning Technologies, 2011. p. 412-414.

15.
THAI-NGHE, N. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Factorization Models for Forecasting Student Performance. In: 4th International Conference on Educational Data Mining, 2011, Eindhoven, Netherland. Proceedings of the 4th International Conference on Educational Data Mining, 2011. p. 11-20.

16.
THAI-NGHE, N. ; DRUMOND, L. ; HORVATH, T. ; NANOPOULOS, A. ; SCHMIDT-THIEME, L. . Matrix and Tensor Factorization for Predicting Student Performance. In: 3rd Internaitonal Conference on Computer Supported Education, 2011, Noordwijkerhout, The Netherlan. Proceedings of the 3rd Internaitonal Conference on Computer Supported Education, 2011. p. 69-78.

17.
THAI-NGHE, N. ; DRUMOND, L. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Multi-Relational Matrix Factorization Models for Predicting Student Performance. In: KDD 2011 Workshop on Knowledge Discovery in Educational Data, 2011, San Diego, USA. Proceedings of KDD 2011 Workshop on Knowledge Discovery in Educational Data, 2011.

18.
THAI-NGHE, N. ; HORVATH, T. ; SCHMIDT-THIEME, L. . Context-Aware Factorization for Personalized Student's Task Recommendation. In: International Workshop on Personalization Approaches in Learning Environments, 2011, Girona, Spain. CEUR - Workshop Proceedings of the International Workshop on Personalization Approaches in Learning Environments, 2011. v. 732. p. 13-18.

19.
ECKHARDT, A. ; HORVATH, T. ; MARU?Č ; NOVOTNÝ, R. ; VOJTA?, P. . Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. In: Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers, 2008. LECTURE NOTES IN COMPUTER SCIENCE, 2008. v. 5327. p. 207-223.

20.
GURSKÝ, P. ; HORVATH, T. ; JIRASEK, J. ; KRAJČ ; NOVOTNÝ, R. ; VANEKOVA, V. ; VOJTA?, P. . Knowledge Processing for Web Search ? An Integrated Model. In: 1st International Symposium on Intelligent and Distributed Computing, 2007, Craiova, Romania. STUDIES IN COMPUTATIONAL INTELLIGENCE, 2007. v. 78. p. 95-104.

21.
ECKHARDT, A. ; HORVATH, T. ; VOJTA?, P. . PHASES: A User Profile Learning Approach for Web Search. In: the 2007 IEEE/WIC/ACM International Conference on Web Intelligence, 2007, Silicon Valley, USA. roceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence, 2007. p. 780-783.

22.
ECKHARDT, A. ; HORVATH, T. ; VOJTA?, P. . Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. In: 1th International Conference on Scalable Uncertainty Management, 2007, Washington, USA. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007. v. 4772. p. 116-130.

23.
HORVATH, T.; VOJTA?, P. . Induction of Fuzzy and Annotated Logic Programs. In: 16th International Conference on Inductive Logic Programming, 2007, Santiago de Compostela, Spain. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007. v. 4455. p. 260-274.

24.
GURSKÝ, P. ; HORVATH, T. ; JIRASEK, J. ; KRAJČ ; NOVOTNÝ, R. ; VANEKOVA, V. ; VOJTA?, P. . Web Search with Variable User Model. In: Conference DATAKON '07, 2007, Brno, Czech Republic. Proceedings of Conference DATAKON '07, 2007. p. 111-121.

25.
ECKHARDT, A. ; HORVATH, T. ; MARU?Č ; NOVOTNÝ, R. ; VOJTA?, P. . Uncertainty Issues in Automating Process Connecting Web and User. In: Workshop on Uncertainty Reasoning for the Semantic Web at 6th International Semantic Web Conference, 2007, Busan, Korea. Proceedings of Workshop on Uncertainty Reasoning for the Semantic Web (URSW '07), 2007. v. 3. p. 97-108.

26.
HORVATH, T.. Reasons of Using IGAP to User Preference Learning. In: Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge (2) NAZOU 2007, 2007, Polana, Slovakia. Proceedings of Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge (2) NAZOU 2007, 2007. p. 92-106.

27.
GURSKÝ, P. ; HORVATH, T. ; NOVOTNÝ, R. ; VANEKOVA, V. ; VOJTA?, P. . UPRE: User preference based search system. In: the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 2006, Hong Kong. Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 2006. p. 841-844.

28.
HORVATH, T.; VOJTA?, P. . Ordinal Classification with Monotonicity Constraints. In: The 6th Industrial Conference on Data Mining, 2006, Lepzig, Germany. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2006. v. 4065. p. 217-225.

29.
HORVATH, T.. Unsupervised Learning of User Preferences by Ordinal Classification. In: Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge, NAZOU 2006, 2006, Bystra Dolina, Slovakia. Proceedings of Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge NAZOU 2006, 2006. p. 125-134.

30.
HORVATH, T.; VOJTA?, P. . Fuzzy induction via generalized annotated programs. In: 8th International Conference on Computational Intelligence (Fuzzy Days, Dortmund '04), 2005, Dortmund, Germany. ADVANCES IN SOFT COMPUTING (Computational Intelligence, Theory and Applications), 2005. p. 419-433.

31.
GURSKÝ, P. ; HORVATH, T. . Dynamic search of relevant information. In: 4th Conference ZNALOSTI '05, 2005, Stará Lesná, Slovakia. Proceedings of the 4th Conference ZNALOSTI '05, 2005. p. 194-201.

32.
BELLA, J. ; HORVATH, T. ; GURSKÝ, P. ; VANEKOVA, V. . Fuzzy RDF in the Semantic Web: Deduction and Induction. In: 6th Slovak-Austrian Student Workshop WDA '05, 2005, Abaújszántó, Hungary. Proceedings of the 6th Slovak-Austrian Student Workshop WDA '05, 2005. p. 16-29.

33.
HORVATH, T.; SUDZINA, F. ; VOJTA?, P. . Mining rules from monotone classification measuring impact of information systems on business competitiveness. In: 6th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, 2004, Vienna, Austria. IFIP International Federation for Information Processing, 2004. v. 159. p. 451-458.

34.
HORVATH, T.; KRAJČ . Integration of methods of Clustering via Conceptual lattices and Inductive logic programming for a graded classification problem. In: 3rd Conference ZNALOSTI '04, 2004, Brno, Czech Republic. Proceedings of the 3rd Conference ZNALOSTI '04, 2004. p. 297-308.

35.
HORVATH, T.; VOJTA?, P. . GAP - Rule Discovery for Graded Classifciation. In: Workshop of Advances in Inductive Rule Learning (W8) of the 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, 2004, Pisa, Italy. Proceedings of the Workshop of Advances in Inductive Rule Learning (W8) of ECML/PKDD 2004, 2004. p. 46-63.

36.
HORVATH, T.; SUDZINA, F. . Measuring impact of information systems on business competitiveness using regression and ILP. In: Ekonomika firiem, Michalovce, Slovakia, 2004, 2004, Michalovce, Slovakia. Ekonomika firiem, 2004. p. 296-300.

37.
HORVATH, T.; SUDZINA, F. . Introduction to data mining for managers. In: Application of Management Theory in Practice II, 2004, Ko?ice, Slovakia. Application of Management Theory in Practice II, 2004. p. 68-74.

Resumos expandidos publicados em anais de congressos
1.
PERO, ?. ; HORVATH, T. . A Web-based Intelligent Tutoring System for Introductory Programming. In: WIC 2014 Web Intelligence Congress, 2014, Warsaw, Poland. Type II Proceedings of the WIC 2014 Web Intelligence Congress, 2014. p. 20-21.

2.
PERO, ?. ; HORVATH, T. . How patterns in source codes of students can help in detection of their programming skills?. In: The 7th International Conference on Educational Data Mining, 2014, London, England. Proceedings of the 7th International Conference on Educational Data Mining, 2014. p. 371-372.

Apresentações de Trabalho
1.
HORVATH, T.. Matrix Factorization Techniques for Recommender Systems - Invited talk. 2012. (Apresentação de Trabalho/Seminário).

2.
HORVATH, T.. Recommender Systems - Tutorial. 2012. (Apresentação de Trabalho/Conferência ou palestra).

3.
HORVATH, T.. Inductive Logic Programming - Invited Lecture. 2006. (Apresentação de Trabalho/Outra).



Bancas



Participação em bancas de trabalhos de conclusão
Teses de doutorado
1.
HORVATH, T.. Participação em banca de Martin Repka. Company Network Analysis. 2013. Tese (Doutorado em Business Informatics) - Technical University in Kosice.

2.
HORVATH, T.. Participação em banca de Zeno Gantner. Supervised Machine Learning Methods for Item Recommendation. 2012. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

3.
HORVATH, T.. Participação em banca de Artus Krohn-Grimberghe. Analysis and Evaluation of Multi-relational Recommender Systems. 2012. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

4.
HORVATH, T.. Participação em banca de Thai-Nghe Nguyen. Predicting Student Performance in an Intelligent Tutoring System. 2012. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

5.
HORVATH, T.. Participação em banca de Krisztián Antal Buza. Fusion Methods for Time-Series Classification. 2011. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

6.
HORVATH, T.. Participação em banca de Christine Preisach. Relational Semi-Supervised Classification Using multiple Relations. 2010. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

7.
HORVATH, T.. Participação em banca de Leandro Balby Marinho. Recommender Systems for Social Tagging Systems. 2010. Tese (Doutorado em Machine Learning) - Universität Hildesheim.

8.
HORVATH, T.. Participação em banca de Steffen Rendle. Context-aware Ranking with Factorization Models. 2010. Tese (Doutorado em Machine Learning) - Universität Hildesheim.




Orientações



Orientações e supervisões em andamento
Dissertação de mestrado
1.
Dominik Imrich. Analyzis, implementation and testing of recommendation techniques in real environments. Início: 2015. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice. (Orientador).

Tese de doutorado
1.
Stefan Pero. Educational Data Mining. Início: 2015. Tese (Doutorado em Informatics) - Pavol Jozef Safárik University in Kosice. (Orientador).

Trabalho de conclusão de curso de graduação
1.
Martin Jobbágy. Utilizing frequent itemset mining for recommendation. Início: 2015. Trabalho de Conclusão de Curso (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. (Orientador).


Orientações e supervisões concluídas
Dissertação de mestrado
1.
Tomas Nguyen. Supervised recommendation in an intelligent tutoring system for programming. 2015. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

2.
Stefan Bocko. Web-based data mining assistant. 2015. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

3.
Tomas Jakab. Relational classification. 2014. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

4.
Július Pál. Prediction of possible disease appearance in a population using data mining techniques. 2014. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

5.
Maros Dzuris. User preference learning in faceted browser. 2012. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

6.
Maros Andrejko. Outlier detection for monotone classification. 2012. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

7.
Marek Danko. Training information system with planning. 2012. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

8.
Stephan Reller. Conception and Implementation of a Sentiment Analysis System. 2012. Dissertação (Mestrado em Business Informatics) - Universität Hildesheim, . Orientador: Tomas Horvath.

9.
Stefan Pero. Distributive data mining. 2011. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

10.
Lubomír Didnianský. The GoleMy System. 2009. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Orientador: Tomas Horvath.

11.
Martin Kucirka. Classification of graded data via inductive logic programming. 2006. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Coorientador: Tomas Horvath.

12.
Ján Bella. Ordinal classification via ILP. 2006. Dissertação (Mestrado em Informatics) - Pavol Jozef Safárik University in Kosice, . Coorientador: Tomas Horvath.

Tese de doutorado
1.
Lenka Pisková. Algorithms to Construct and Reduce the Size of Concept Lattices. 2013. Tese (Doutorado em Informatics) - Pavol Jozef Safárik University in Kosice, . Coorientador: Tomas Horvath.

2.
Thai-Nghe Nguyen. Predicting Student Performance in an Intelligent Tutoring System. 2012. Tese (Doutorado em Machine Learning) - Universität Hildesheim, . Coorientador: Tomas Horvath.

Trabalho de conclusão de curso de graduação
1.
Dominik Imrich. Pattern mining in the JEM-EUSO experiment. 2014. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

2.
Maros Andrejko. Categorization of supply points wrt. possible unauthorized electric energy consumption. 2010. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

3.
Marek Danko. Training information system with planning. 2010. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

4.
Maros Dzuris. User preference learning in faceted browser. 2010. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

5.
Stefan Pero. Winston ? data mining assistant. 2009. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

6.
Adrián Krajník. Mining frequent sequences of events. 2009. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

7.
Matej Lazár. Preference learning. 2009. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

8.
Stefan Ontkovic. Supportive software for programming NC machines. 2008. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

9.
Marek Varchula. Intelligent data mining asistant. 2008. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.

10.
Tomas Lacko. Least relative generalization in MySQL. 2007. Trabalho de Conclusão de Curso. (Graduação em Informatics) - Pavol Jozef Safárik University in Kosice. Orientador: Tomas Horvath.




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