Research

Publications

Proceedings

  1. M. Kravčík, O. C. Santos, J. G. Boticario, M. Bieliková, T. Horváth: Proceedings of the 5th International Workshop on Personalization Approaches in Learning Environments PALE 2015. Dublin, Ireland, June 30th, 2015, Published in CEUR Worskhop Proceedings, ISSN 1613-0073.
  2. J. Pokorný, P. Šaloun, J. Paralič, T. Horváth: Proceedings of joint Conferences Znalosti and Datakon 2013. VŠB-Technical University Ostrava, Czech Republic, October 13-15, 2013, ISBN 978-80-248-3189-3, pp. 360.
  3. T. Horváth: Proceedings of the Conference on Theory and Practice of Information Technologies, ITAT 2012. Hotel Magura, Slovakia, September 17-21, 2012, ISBN 978-80-971144-0-4, pp. 69. (available also in CEUR)
  4. T. Horváth: Zborník príspevkov prezentovaných na konferencii Informačné technológie – Aplikácie a Teória, ITAT 2012. Hotel Magura, 17-21. septembra 2012, ISBN 978-80-971144-1-1, pp. 73.
  5. P. Bednár, T. Horváth, J. Paralič, A. Rauber: Proceedings of the 6th Workshop on Data Analysis (WDA 2005): Elfa Academic Press, ISBN: 80-8086-015-7, 2005, Kosice, pp. 99.

Book chapter(s)

  1. N. Thai-Nghe, L. Drumond, T. Horváth, A. Krohn-Grimberghe, A. Nanopoulos, L. Schmidt-Thieme: Factorization Techniques for Predicting Student Performance. In Educational Recommender Systems and Technologies: Practices and Challenges, Olga C. Santos and Jesus G. Boticario (eds.), IGI Global, ISBN: 978-1-613-50489-5, 2011, pp: 129-153.

Journal articles

  1. T. Horváth, A. C. P. L. F. de Carvalho: Evolutionary Computing in Recommender Systems: A Review of Recent Research. NATURAL COMPUTING, Volume 16, Issue 3, Springer Verlag, 2016, ISSN 1567-7818, p: 441-462.
  2. L. Pisková, T. Horváth, S. Krajči: Ranking Formal Concepts by Utilizing Matrix Factorization. STUDIA UNIV. BABES–BOLYAI, INFORMATICA, Volume LIX, Special Issue 2, 2014 (12th International Conference on Formal Concept Analysis, Cluj-Napoca, 2014), Babes-Bolyai University, ISSN 1224-869x, p: 62-79.
  3. R. Janning, A. Busche, T. Horváth, L. Schmidt-Thieme: Buried Pipe Localization Using an Iterative Geometric Clustering on GPR Data. ARTIFICIAL INTELLIGENCE REVIEW, Volume 42, Issue 3, Springer Verlag, 2013, ISSN 0269-2821, 2013, p. 403-425.
  4. K. Buza, A. Nanopoulos, T. Horváth, L. Schmidt-Thieme: GRAMOFON: General Model-selection Framework based on Networks. NEUROCOMPUTING 75 (2012): Elsevier, 2012, ISSN 0925-2312, pp: 163-170.
  5. T. Horváth: A Model of User Preference Learning for Content-Based Recommender Systems. COMPUTING AND INFORMATICS Vol. 28 (2009), No. 4: SAV, Slovakia, 2009, ISSN 1335-9150, pp: 453-481.
  6. P. Gurský, T. Horváth, J. Jirásek, S. Krajči, R. Novotný, J. Pribolová, V. Vaneková, P. Vojtáš: User Preference Web Search - Experiments with a System Connecting Web and User. COMPUTING AND INFORMATICS Vol. 28 (2009), No. 4: SAV, Slovakia, 2008, ISSN 1335-9150, pp: 515-553.
  7. P. Gurský, T. Horváth, J. Jirásek, R. Novotný, J. Pribolová, V. Vaneková, P. Vojtáš: Knowledge Processing for Web Search – An Integrated Model and Experiments. SCALABLE COMPUTING: PRACTICE AND EXPERIENCE Volume 9, Number 1 (2008): SWPS, Poland, 2008, ISSN 1895-1767, p:51–59.
  8. T. Horváth, S. Krajči: Integration of two fuzzy data mining methods. NEURAL NETWORK WORLD Volume 14 (2004): AV ČR, Czech Republic, 2004, ISSN 1210-0552, p:391-402.
  9. T. Horváth, S. Krajči, R. Lencses, P. Vojtáš: An ILP model for a graded classification problem. KYBERNETIKA Volume 40, Number 3 (2004): AV ČR, Czech Republic, 2004, ISSN 0023-5954, p:317–332.

Conference papers

  1. T. Horváth, R. G. Mantovani, A. C. P. L. F. de Carvalho: Effects of Random Sampling on SVM Hyper-parameter Tuning. Intelligent Systems Design and Applications (Advances in Intelligent Systems and Computing; 557.), Springer International Publishing 2017, ISBN:978-3-319-53479-4, p. 268-278.
  2. R. G. Mantovani, T. Horváth, R. Cerri, A. C. P. L. F. de Carvalho, J. Vanschoren: Hyper-parameter Tuning of a Decision Tree Induction Algorithm. 5th Brazilian Conference on Intelligent Systems (BRACIS): IEEE, 2016, p. 37-42.
  3. Š. Pero, T. Horváth: Comparison of Collaborative-filtering Techniques for Small-scale Student Performance Prediction Task. In Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering: Lecture Notes in Electrical Engineering (vol. 313), Springer, 2015, ISSN 1876-1100, ISBN 978-3-319-06772-8, p. 111-116.
  4. Š. Pero, T. Horváth: A Web-based Intelligent Tutoring System for Introductory Programming. In Type II Proceedings of the WIC 2014 Web Intelligence Congress (WI '14), Warsaw, 2014, p. 20-21.
  5. Š. Pero, T. Horváth: How patterns in source codes of students can help in detection of their programming skills? In Proceedings of the 7th International Conference on Educational Data Mining (EDM '14), London, England, 2014, ISBN 978-0-9839525-4-1, 2014, p. 371-372.
  6. L. Pisková, T. Horváth: Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts. In Proceedings of the 21st International Conference on Conceptual Structures, (ICCS), LECTURE NOTES IN COMPUTER SCIENCE (vol. 8577), Springer, 2014, ISSN 0302-9743, ISBN 978-3-642-38843-9, p. 245-259.
  7. A. Busche, R. Janning, T. Horváth, L. Schmidt-Thieme: A Unifying Framework for GPR Image Reconstruction. In Data Analysis, Machine Learning and Knowledge Discovery (Part VI): Springer, Studies in Classification, Data Analysis, and Knowledge Organization, 2014, ISBN 978-3-319-01594-1, ISSN 1431-8814, p. 325-332.
  8. L. Piskova,T. Horváth: Comparing Performance of Formal Concept Analysis and Closed Frequent Itemset Mining Algorithms on Real Data. Proceedings of the 10th International Conference on Concept Lattices and Their Applications: Laboratory L3i, University of La Rochelle, France, 2013, ISBN 978–2–7466–6566–8, p. 299-304.
  9. Š. Pero, T. Horváth. Opinion-Driven Matrix Factorization for Rating Prediction. In 21st International Conference on User Modeling, Adaptation, and Personalization (UMAP '13), Rome, Italy, 2013: LECTURE NOTES IN COMPUTER SCIENCE (vol. 7899), Springer, 2013, ISSN 0302-9743, ISBN 978-3-642-38843-9, p. 1-13.
  10. Š. Pero, T. Horváth. Detection of Inconsistencies in Student Evaluations. The 5th International Conference on Computer Supported Education (CSEDU '13), Aachen, Germany, 2013: ScitePress, 2013, p. 246-249.
  11. L. Piskova, Š. Pero, T. Horváth, S. Krajči: Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization. Proceedings of the 9th International Conference on Concept Lattices and Their Applications: Universidad de Málaga, Spain, 2012, ISBN 9788469552520, p. 33-44.
  12. R. Janning, T. Horváth, A. Busche, L. Schmidt-Thieme: Pipe Localization by Apex Detection. International Conference on Radar Systems, Glasgow, UK, 2012: The Institution of Engineering and Technology IET, ISBN 978-1-84919-676-5, 2012.
  13. R. Janning, T. Horváth, A. Busche, L. Schmidt-Thieme: GamRec: a Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. Proceedings of to the 8th International Conference on Artificial Intelligence Applications and Innovations, Halkidiki, Greece: Springer, IFIP Advances in Information and Communication Technology Volume 381, ISBN 978-3-642-33409-2, 2012, p: 347-356.
  14. T. Horváth, A. Eckhardt, K. Buza, P. Vojtáš, L. Schmidt-Thieme: Value-transformation for Monotone Prediction by Approximating Fuzzy Membership Functions. In the 12th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary, 2011: IEEE, ISBN 978-1-4577-0044-6, 2011, pp: 367-372.
  15. N. Thai-Nghe, T. Horváth, L. Schmidt-Thieme: Personalized Forecasting Student Performance. The 11th IEEE International Conference on Advanced Learning Technologies (ICALT '11), Athens, Georgia, USA, 2011: IEEE Computer Society, 2011, ISBN 978-0-7695-4346-8, p: 412-414.
  16. N. Thai-Nghe, T. Horváth, L. Schmidt-Thieme: Factorization Models for Forecasting Student Performance. In 4th International Conference on Educational Data Mining (EDM'11), Eindhoven, The Netherllands, 2011: TU/e printservice, Eindhoven, ISBN 978-90-386-2537-9, p: 11-20.
  17. N. Thai-Nghe, L. Drumond, T. Horváth, A. Nanopoulos, L. Schmidt-Thieme: Matrix and Tensor Factorization for Predicting Student Performance. In Proceedings of the 3rd Internaitonal Conference on Computer Supported Education (CSEDU '11), Noordwijkerhout, The Netherlands, 2011, Volume 1: SciTePress, Portugal, 2011, ISBN 78-989-8425-49-2, p: 69-78.
  18. A. Eckhardt, T. Horváth, D. Maruščák, R. Novotný, P. Vojtáš: 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: LECTURE NOTES IN COMPUTER SCIENCE (vol. 5327), Springer-Verlag Berlin Heidelberg, 2008, ISSN 0302-9743, ISBN 978-3-540-89764-4, pp: 207-223.
  19. P. Gurský, T. Horváth, J. Jirásek , S. Krajči, R. Novotný, V. Vaneková, P. Vojtáš: Knowledge Processing for Web Search – An Integrated Model. In: C. Badica and M. Paprzycki (eds.) Proceedings of the 1st International Symposium on Intelligent and Distributed Computing (IDC 2007), Craiova, Romania, 2007: STUDIES IN COMPUTATIONAL INTELLIGENCE (vol. 78), Springer, 2007, ISSN 1860-949X, ISBN 978-3-540-74929-5, pp: 95-104.
  20. A. Eckhardt, T. Horváth, P. Vojtáš: PHASES: A User Profile Learning Approach for Web Search. Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), Silicon Valley, USA : IEEE Computer Society, 2007, ISBN 0-7695-3026-5, pp: 780-783.
  21. A. Eckhardt, T. Horváth, P. Vojtáš: Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. In: W. Liu, V.S. Subrahmanian, H. Prade, T. Lukasiewicz (Eds.): Proceedings of the 1th International Conference on Scalable Uncertainty Management, (SUM '07), Washington DC, USA, 2007: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (vol. 4772), Springer-Verlag Berlin Heidelberg, 2007, ISSN 0302-9743, ISBN 978-3-540-75407-7, pp: 116-130, 2007.
  22. T. Horváth, P. Vojtáš: Induction of Fuzzy and Annotated Logic Programs. In: S. Muggleton, R. Otero, and A. Tamaddoni-Nezhad (Eds.): Main (Post Conference -) Proceedings of the the 16th International Conference on Inductive Logic Programming (ILP '06),Santiago de Compostela, Spain, 2006: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (vol. 4455), Springer-Verlag Berlin Heidelberg, 2007, ISSN 0302-9743, ISBN 978-3-540-73846-6, pp. 260–274.
  23. P. Gursky, T. Horvath, J. Jirasek, S. Krajci, R. Novotny, V. Vanekova, P. Vojtas: Web Search with Variable User Model. In: Proceedings of Conference DATAKON '07, Brno, Czech Republic, 2007: Masaryk University, Czech Republic, 2007, ISBN 978-80-7355-076-9, p: 111-121.
  24. P. Gurský, T. Horváth, R. Novotný, V. Vaneková, P. Vojtáš: UPRE: User preference based search system. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI '06), Hong Kong, 2006: IEEE Computer Society, 2006, ISBN 0-7695-2747-7, p: 841-844.
  25. T. Horváth, P. Vojtáš: Ordinal Classification with Monotonicity Constraints. In. P. Perner (ed.) Proceedings of the 6th Industrial Conference on Data Mining (ICDM '06), Leipzig, Germany, 2006: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (vol. 4065), Springer, 2006, ISSN 0302-9743, ISBN 3-540-36036-0, p: 217-225.
  26. T. Horváth, P. Vojtáš: Fuzzy induction via generalized annotated programs. In: 8th International Conference on Computational Intelligence (Fuzzy Days, Dortmund '04), Dortmund, Germany, 2004: Springer, ADVANCES IN SOFT COMPUTING SERIES (tit. Computational Intelligence, Theory and Applications), 2005, ISSN 1615-3871, ISBN 3-540-22807-1, p:419-433.
  27. P. Gurský, T. Horváth: Dynamic search of relevant information. In: 4th Conference ZNALOSTI '05, Stará Lesná, Slovakia, 2005: FEI VŠB-TU Ostrava, Czech Republic, 2005, ISBN 80-248-0755-6, p:194-201.
  28. T. Horváth, F. Sudzina, P. Vojtáš: 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 (BASYS '04), Wien, Austria, 2004: Springer, IFIP International Federation for Information Processing (vol. 159) 2005, ISSN 1571-5736, ISBN 0-387-22828-4, p:451-458.
  29. T. Horváth, S. Krajči: Integration of methods of Clustering via Conceptual lattices and Inductive logic programming for a graded classification problem. In: 3rd Conference ZNALOSTI '04, Brno, Czech Republic, 2004: FEI VŠB-TU Ostrava, Czech Republic, 2004, ISBN 80-248-0456-5, p:297–308.

Workshop papers

  1. Balázs Horváth, Tomáš Horváth: Evaluating Data Sources for Crawling Events from the Web. ITAT 2017 Information Technologies - Applications and Theory, Martinské hole, Slovakia, 2017: CreateSpace Independent Publishing Platform, ISBN 978-1974274741, 2017, 218-222.
  2. M. Vaško, T. Jakab, T. Horváth: Recommendation in location-based and event-based social networks. 10th Workshop on Intelligent and Knowledge oriented Technologies, Košice, Slovakia, 2015.
  3. Š. Bocko, T. Horváth: Web-based Data Mining Assistant. Information Technologies - Applications and Theory, Part II: Proceedings of the 14th conference ITAT 2014 - Workshops and Posters, Jasná, Slovakia, ISBN 978-8087136195, 2014, p: 2-3.
  4. A. Busche, R. Janning, T. Horváth and L. Schmidt-Thieme: Some Improvements for Multi-Hyperbola Detection on GPR Data. Accepted to the LWA 2012 Conference of the joint forum of four special interest groups of the German Computer Science Society, Dortmund, Germany, 2012.
  5. L. Drumond, N. Thai-Nghe, T. Horváth, L. Schmidt-Thieme: Factorization Techniques for Student Performance Classification and Ranking. In Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization (UMAP'12), Montreal, Canada, 2012: CEUR Workshop Proceedings Vol-872, ISSN 1613-0073, 2012.
  6. N. Thai-Nghe, L. Drumond, T. Horváth, L. Schmidt-Thieme: Using Factorization Machines for Student Modeling. In Workshop and Poster Proceedings of the 20th Conference on User Modeling, Adaptation, and Personalization (UMAP'12), Montreal, Canada, 2012: CEUR Workshop Proceedings Vol-872, ISSN 1613-0073, 2012.
  7. N. Thai-Nghe, L. Drumond, T. Horváth, L. Schmidt-Thieme: Multi-Relational Matrix Factorization Models for Predicting Student Performance. In KDD 2011 Workshop on Knowledge Discovery in Educational Data (KDDinED 2011).
  8. N. Thai-Nghe, T. Horváth, L. Schmidt-Thieme: Context-Aware Factorization for Personalized Student's Task Recommendation. International Workshop on Personalization Approaches in Learning Environments (PALE 2011) at UMAP 2011, CEUR-WS, Volume 732, ISSN 1613-0073, p: 13-18.
  9. A. Eckhardt, T. Horváth, D. Marušcák, R. Novotný, P. Vojtáš: Uncertainty Issues in Automating Process Connecting Web and User. In: Proceedings of Workshop on Uncertainty Reasoning for the Semantic Web (URSW '07) - Volume 3, at 6th International Semantic Web Conference, Busan, Korea, 2007, (P. da Costa ed.), p: 97-108.
  10. T. Horváth: Reasons of Using IGAP to User Preference Learning. In: Proceedings of Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge (2) NAZOU 2007, Poľana, Slovakia, 2007: Vydavatelstvo STU. Bratislava, Slovakia, 2007, ISBN 978-80-227-2716-7, p: 92-106.
  11. T. Horváth: Unsupervised Learning of User Preferences by Ordinal Classification. In: Proceedings of Workshop on Tools for Acquisition, Organization and Presenting of Information and Knowledge NAZOU 2006, Bystra Dolina, Slovakia, 2006: Vydavatelstvo STU. Bratislava, Slovakia, 2006, ISBN 80-227-2468-8, p:125-134.
  12. J. Bella, T. Horváth, P. Gurský, V. Vanekova: Fuzzy RDF in the Semantic Web: Deduction and Induction. In: 6th Slovak-Austrian Student Workshop WDA '05, Abaújszántó, Hungary, 2005: Elfa Academic Press, Ltd. Košice, Slovakia, 2005, ISBN 80-8086-015-7, p:16-29.
  13. T. Horváth, P. Vojtáš: 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 (ECML/PKDD '04), Pisa, Italy, 2004: TU Darmstadt (J. Fuernkranz eds.), Darmstadt, Germany, 2004, p:46-63.
  14. T. Horváth, F. Sudzina: Measuring impact of information systems on business competitiveness using regression and ILP. In: Ekonomika firiem, Michalovce, Slovakia, 2004: Podnikovohospodárska fakulta Ekonomickej univerzity v Bratislave so sídlom v Košiciach, Košice, Slovakia, 2004, ISBN 80-225-1879-4, p:296-300.
  15. T. Horváth, F. Sudzina: Introduction to data mining for managers. In: Application of Management Theory in Practice II, Košice, Slovakia, 2004: Royal Unicorn s.r.o., Košice, Slovakia, 2004, ISBN 80-969181-0-9, p:68-74.

Posters/Extended abstracts

  1. Š. Pero, T. Horváth: Opinion-Driven Matrix Factorization for Rating Prediction: The UMAP’13 talk and the received feedbacks. In. ITAT 2013: Information Technologies - Applications and Theory (Workshops, Posters, and Tutorials), Donovaly, Slovakia, 2013, ISBN 9781490952086, p. 21.
  2. T. Horváth: Recommender Systems. Tutorial at the 11th conference Znalosti, Mikulov, Czech Republic, 2012, ISBN 978-80-7378-220-7, p. 3.
  3. A. Busche, R. Janning, T. Horváth and L. Schmidt-Thieme: A Unifying Framework for GPR Image Reconstruction. The book of abstracts of the 36th Annual Conference of the German Classification Society (GfKl) on Data Analysis, Machine Learning and Applications, Hildesheim, Germany, 2012, p. 110.
  4. T. Horváth, P. Vojtáš: Fuzzy Inductive Logic Programming. In. Proceedings of the 16th International Conference on Inductive Logic Programming (ILP '06)- Short Papers, Santiago de Compostela, Spain, 2006: UDC Press Service, Coruna, Spain, 2006, ISBN 84-9749-206-4, p: 101-103.
  5. T. Horváth, P. Vojtáš: Efficient induction for Monotone Graded Classifciation. In: Work in Progress Papers of the 14th International Conference on Inductive Logic Programming (ILP '04), Porto, Portugal, 2004: (R. Camacho, R. King, A. Srinivasan eds.), Porto, Portugal, p:52-56.

Papers/posters written in Slovak

  1. M. Dzuriš, T. Horváth: Model používatel’ových preferencií vo fazetovom prehliadači. (in Slovak) In Proceedings of the 10th Czech and Slovak conference on Information Technologies - Application and Theory (ITAT '10), Smrekovica, Slovakia, 2010: Pont s.r.o., Slovakia, 2010, ISBN 978-80-970179-3-4, p: 53-58.
  2. Š. Pero, T. Horváth: Winston: Asistent Dolovania Dat. (in Slovak) In Proceedings of the 9th Czech and Slovak conference on Information Technologies - Application and Theory (ITAT '09), Kráľova Studňa, Slovakia, 2009: Pont s.r.o., Slovakia, 2009, ISBN 978-80-970179-1-0, p: 111-112.
  3. T. Horváth: Použitie Indukcie Generalizovaných Anotovaných Programov v Recommender Systémoch na učenie užívateľových preferencií. (in Slovak) In: Proceedings of the 2nd Workshop on Intelligent and Knowledge oriented Technologies, Košice, Slovakia, 2007: Centre for Information Technologies, FEI, Technical University in Košice, Slovakia, 2007, ISBN 978-80-89284-10-8, p: 158-161.
  4. T. Horváth: Fuzzy ILP: prístupy a problémy. (in Slovak) In: 4th Conference ZNALOSTI '05, Stará Lesná, Slovakia, 2005: FEI VŠB-TU Ostrava, Czech Republic, 2005, ISBN 80-248-0755-6, p:202-209.
  5. T. Horváth, F. Sudzina, P. Vojtáš: Kvalitatívny data mining - aplikácia v manažmente. (in Slovak) In: Nové trendy v podnikovom manažmente, Ružín, Slovakia, 2005: Podnikovohospodárska fakulta Ekonomickej univerzity v Bratislave so sídlom v Košiciach, Košice, Slovakia, 2005, ISBN 80-969181-3-3, p:289-298.
  6. T. Horváth, P. Vojtáš: ILP pre riešenie stupňovaného klasifikačného problému. (in Slovak) In: 2nd Conference ZNALOSTI '03, Ostrava, Czech Republic, 2003: FEI VŠB-TU Ostrava, Czech Republic, 2003, ISBN 80-248-0229-5, p:232–241.

Technical Reports

  1. C. Ribeiro, C. Signorini, C. Reis, E. Silva, E. Teixeira, L. Pereira, F. Louzada, I. Gendriz, I. Blanco, J. Fiorucci, K. Huaranca, L. Nonato, L. Garcia, M. Rangel, M. Filho, N. Lofti, P. Hubert, R. Sampaio, T. Horváth, W. da Silva, Zhao Liang: Analysis of Soundscape Ecology Data. CEPID-CeMEAI II Brazilian Study Group with Industry Report: ICMC/USP - São Carlos/SP, Brasil, August 2016.

Theses

  1. T. Horváth: User Preference Learning by Induction of Fuzzy and Annotated Logic Programs. PhD. Thesis, Faculty of Science, Pavol Jozef Šafárik University, Košice, June 2008.
  2. T. Horváth: Induktívne logické programovanie a jeho fuzzy analógia. (in Slovak) RNDr. Thesis, ICS, Faculty of Science, Pavol Jozef Šafárik University, Košice, June 2003.
  3. T. Horváth: Induktívne logické programovanie. (in Slovak) M.Sc. Thesis, ICS, Faculty of Science, Pavol Jozef Šafárik University, Košice, May 2002.

Other

  1. T. Horváth: Supportive textbook for the course Semantics of Knowledge Systems. Pavol Jozef Šafárik University, Košice, Slovakia, 2008.

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