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2020 – today
- 2024
[c21]Oleksandr Fetkovych, Peter Gurský, Dávid Varga, Zoltán Szoplák:
Adapting Plagiarism Detection Techniques for Citation Identification in Legal Texts. ITAT 2024: 81-88- 2023
- [c20]Zoltán Szoplák
, Dávid Varga, Simon Horvát, Peter Gurský, L'ubomír Antoni, Ondrej Krídlo, Stanislav Krajci:
Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods. ICCS 2023: 201-204 - [c19]Dávid Varga, Martin Gojdic, Zoltán Szoplák, Peter Gurský, Simon Horvát, Stanislav Krajci, Lubomir Antoni:
Extraction of Legal References from Court Decisions. ITAT 2023: 89-95 - 2022
- [c18]Dávid Varga, Simon Horvát, Zoltán Szoplák, L'ubomír Antoni, Stanislav Krajci, Peter Gurský, Laura Bachnáková Rózenfeldová:
Keyphrase extraction from Slovak court decisions. ITAT 2022: 142-150 - 2021
- [c17]Dávid Varga, Zoltán Szoplák, Pavol Sokol, Stanislav Krajci, Peter Gurský:
Analysis and Prediction of Legal Judgements in the Slovak Criminal Proceedings. ITAT 2021: 161-170
2010 – 2019
- 2019
- [c16]L'ubomír Antoni, Erik Bruoth, Ján Gunis, Peter Gurský, Stanislav Krajci, Ondrej Krídlo, Radim Navrátil, Lubomír Snajder, Gabriela Andrejková, Dusan Sveda:
Case Studies and Education in Data Science At Universities in Slovakia. ITAT 2019: 44-50 - 2018
- [c15]Peter Gurský, Matej Perejda, Dávid Varga:
Semiautomatic Annotation of E-Shops. ITAT 2018: 152-156 - 2017
- [c14]Michaela Linková, Peter Gurský:
Attributes Extraction from Product Descriptions on e-Shops. ITAT 2017: 23-26 - [c13]Rudolf Pavel, Peter Gurský:
Focused Web Crawling of Relevant Pages on e-Shops. ITAT 2017: 35-39 - 2014
- [c12]Peter Gurský, Vladimír Chabal, Robert Novotny, Michal Vasko, Milan Verescák:
Extracting Product Data from E-Shops. ITAT 2014: 40-45 - 2013
- [c11]Martin Sumak, Peter Gurský:
R + + -Tree: An Efficient Spatial Access Method for Highly Redundant Point Data. ADBIS (2) 2013: 37-44 - 2012
- [c10]Martin Sumak, Peter Gurský:
Top-k Search Over Grid File. DATESO 2012: 115-126 - 2011
- [c9]Martin Sumak, Peter Gurský:
Top-k Search in Product Catalogues. DATESO 2011: 1-12
2000 – 2009
- 2009
- [j3]Peter Gurský, René Pázman, Peter Vojtás:
On Supporting Wide Range of Attribute Types for Top-K Search. Comput. Informatics 28(4): 483-513 (2009) - [j2]Peter Gurský, Tomás Horváth, Peter Vojtás, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Jana Pribolová, Veronika Vaneková:
User Preference Web Search -- Experiments with a System Connecting Web and User. Comput. Informatics 28(4): 515-553 (2009) - 2008
- [j1]Peter Gurský, Tomás Horváth, Jozef Jirásek, Robert Novotny, Jana Pribolová, Veronika Vaneková, Peter Vojtás:
Knowledge Processing for Web Search - An Integrated Model and Experiments. Scalable Comput. Pract. Exp. 9(1) (2008) - [c8]Peter Gurský, Peter Vojtás:
On Top-kSearch with No Random Access Using Small Memory. ADBIS 2008: 97-111 - [c7]Peter Gurský, Veronika Vaneková, Jana Pribolová:
Fuzzy user preference model for top-k search. FUZZ-IEEE 2008: 1606-1612 - [c6]Peter Gurský, Peter Vojtás:
Speeding Up the NRA Algorithm. SUM 2008: 243-255 - 2007
- [c5]Peter Gurský, Tomás Horváth, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Veronika Vaneková, Peter Vojtás:
Knowledge Processing for Web Search - An Integrated Model. IDC 2007: 96-104 - 2006
- [c4]Peter Gurský:
owards Better Semantics in the Multifeature Querying. DATESO 2006 - [c3]Peter Gurský, Tomás Horváth, Robert Novotny, Veronika Vaneková, Peter Vojtás:
UPRE: User Preference Based Search System. Web Intelligence 2006: 841-844 - 2005
- [c2]Peter Gurský:
Comparison of parallel and random approach to a candidate list in the multifeature querying. DATESO 2005: 1-8 - 2004
- [c1]Peter Gurský:
Storage and Retrieval of First Order Logic Terms in a Database. DATESO 2004: 38-49
Coauthor Index
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last updated on 2024-10-25 21:17 CEST by the dblp team
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