PF

RNDr. Peter Gurský, PhD., university associate professor   SK

Email:
peter.gursky@upjs.sk
Homepage:
gursky.sk
Faculty:
PF UPJŠ - Pavol Jozef Šafárik University in Košice, Faculty of Science
Department:
ÚINF - Institute of Computer Science
Office:
SJ0O21
Phone:
+421 55 234 2437
ORCID ID:
0000-0002-4744-7390
Research interests: database systems and indexes, data extraction from web, text mining

Higher education and further qualification growth
First degree of higher education:
P.J.Šafárik University in Košice, 2001, Informatics
Second degree of higher education:
P.J.Šafárik University in Košice, 2003, Informatics
Third degree of higher education:
P.J.Šafárik University in Košice, 2008, Informatics

Research /art/ teacher profile

Display details  
Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
Study programme: Ib, Informatics, study advisor, I. degree
Study programme: Im, Informatics, study advisor, II. degree
Study programme: AIb, person responsible for profile subject, I. degree
Profile courses
ÚINF/PSIN/15 Computer network Internet - Ib, AIb, XIb, I. degree
ÚINF/PDB1/15 Organisation and processing of data - Im, AIm, II. degree
Selected publications

Szoplák, Z., Varga, D., Horváth, Š., Gurský, P., Antoni, Ľ., Krídlo, O., Krajči, S.: Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods, In: Borgida, A., Distel, F., Formica, A., Lepouras, G. (Eds.): Graph-Based Representation and Reasoning, 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11–13, 2023, Lecture Notes in Computer Science, vol. 14160, Cham, Springer, 2023, ISBN 978-3-031-40959-2, pp. 201–204.

Szoplák, Z., Varga, D., Horvát, Š., Gurský, P., Krajči, S.: Enhancing Document Retrieval in Large Corpora: A Keyphrase and Reference-Based Approach, In: Local Proceedings of the 19th International Workshop on Juris-Informatics, Osaka, Japan, May 26–27, 2025, Osaka International Convention Center, 2025, ISBN 978-4-915905-97-1, pp. 80–90.

Szoplák, Z., Gurský, P., Varga, D.: Optimizing Keyphrase Extraction for Court Decisions Using Legal References, In: Hoekstra, R., Palmirani, M., Rossi, A., Šavelka, J. (Eds.): Legal Knowledge and Information Systems, 37th International Conference on Legal Knowledge and Information Systems, JURIX 2024, Brno, Czech Republic, December 11–13, 2024, IOS Press, Amsterdam, 2024, ISBN 978-1-64368-562-5, pp. 338–343

Fetkovych, O., Gurský, P., Varga, D., Szoplák, Z: Adapting Plagiarism Detection Techniques for Citation Identification in Legal Texts. In: ITAT 2024 : Information Technologies - Applications and Theory 2024 : Proceedings. - Aachen : CEUR-WS, 2024. - ISBN 16130073. - S. 81-88

Dávid Varga, Zoltán Szoplák, Pavol Sokol, Stanislav Krajči, Peter Gurský: Analysis and Prediction of Legal Judgements in the Slovak Criminal Proceedings. In:ITAT 2021 : Information Technologies – Applications and Theory : proceedings of the 21st conference : 24.-28.9.2021, Heľpa, Slovensko.- ISSN 1613-0073, vol. 2962. - S. 161-170.

Selected projects

APVV VV-MVP-24-0038: Analysis of liability for crimes committed on the Internet using machine learning methods. Active period 2025-2028

APVV APVV-21-0336: Analysis of court decisions using artificial intelligence methods. Active period: 2022-2026.

EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I05-03-V02-00049. Active period 2025-2026

National project "Digital transformation of education and schools (DiTEdu)", ITMS 401402DVR6. Active period 2023-2028.

IT Academy - education for the 21st century, ITMS 312011F057. Active period: 2016-2021.

Additional information

Projects
Current projects:
  • Extraction of attributes from judge desitions (no funding jet)
  • Exago: extraction fo attributes from web sources using browser extension (no funding)
Other
Organising commitee chair of conference ITAT

Further information


PF