default search action
Peter Vojtás
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [i2]Stepán Balcar, Ladislav Peska, Peter Vojtás:
Personalisation of d'Hondt's algorithm and its use in recommender ecosystems. CoRR abs/2406.07264 (2024) - 2022
- [c97]Stepán Balcar, Ladislav Peska, Peter Vojtás:
Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations. ICCAI 2022: 280-285 - 2021
- [c96]Samuel Brezani, R. Hrasko, D. Vanco, J. Vojtas, Peter Vojtás:
Deep Learning for Knowledge Extraction from UAV Images. EJC 2021: 44-63 - [c95]Samuel Brezani, Peter Vojtás
:
Aggregation for Flexible Challenge Response. FQAS 2021: 209-222 - [c94]Samuel Brezani, R. Hrasko, D. Vanco, Peter Vojtás:
Increasing Business Opportunities for Drone Services. ICE-B 2021: 93-100 - [c93]Samuel Brezani, R. Hrasko, Peter Vojtás:
Smart extensions to regular cameras in the industrial environment. ISM 2021: 298-307 - 2020
- [j18]Michal Kopecky, Peter Vojtás:
Visual e-commerce values filtering framework with spatial database metric. Comput. Sci. Inf. Syst. 17(3): 983-1006 (2020) - [c92]Ladislav Peska
Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. FUZZ-IEEE 2020: 1-8 - [c91]Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. HT 2020: 291-300
2010 – 2019
- 2019
- [c90]Michal Kopecky
Graphical E-Commerce Values Filtering Model in Spatial Database Framework. ADBIS (Short Papers and Workshops) 2019: 210-220 - 2018
- [j17]Francesco Bonchi, Peter Dolog
Invited papers from the ACM conference on hypertext and social media. New Rev. Hypermedia Multim. 24(2): 61-62 (2018) - [i1]Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. CoRR abs/1809.03186 (2018) - 2017
- [j16]Ladislav Peska
Using Implicit Preference Relations to Improve Recommender Systems. J. Data Semant. 6(1): 15-30 (2017) - [j15]Peter Dolog
28th ACM International Conference on Hypertext and Social Media. SIGWEB Newsl. 2017(Winter): 2:1-2:8 (2017) - [c89]Ladislav Peska, Peter Vojtás:
Towards Complex User Feedback and Presentation Context in Recommender Systems. BTW (Workshops) 2017: 203-207 - [c88]Michal Kopecky, Marta Vomlelová, Peter Vojtás:
Repeatable Web Data Extraction and Interlinking. ITAT 2017: 228-234 - [e7]Peter Dolog
Proceedings of the 28th ACM Conference on Hypertext and Social Media, HT 2017, Prague, Czech Republic, July 4-7, 2017. ACM 2017, ISBN 978-1-4503-4708-2 [contents] - 2016
- [c87]Michal Kopecky
Basis Functions as Pivots in Space of Users Preferences. ADBIS (Short Papers and Workshops) 2016: 45-53 - 2015
- [c86]Ladislav Peska, Peter Vojtás:
Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. DATESO 2015: 101-110 - [c85]Ladislav Peska
Using Implicit Preference Relations to Improve Content Based Recommending. EC-Web 2015: 3-16 - [c84]Michal Kopecky
Monotonization of User Preferences. FQAS 2015: 29-40 - [c83]Peter Vojtás
Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems. MEMICS 2015: 23-34 - [c82]Ladislav Peska, Peter Vojtás:
How to Interpret Implicit User Feedback? RecSys Posters 2015 - [c81]Marta Vomlelová, Michal Kopecky, Peter Vojtás:
Transformation and Aggregation Preprocessing for Top-k Recommendation GAP Rules Induction. Challenge+DC@RuleML 2015 - [c80]Ladislav Peska
Using Linked Open Data in Recommender Systems. WIMS 2015: 17:1-17:6 - 2014
- [c79]Ladislav Peska
Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. EC-Web 2014: 138-145 - [c78]Ladislav Peska
Hybrid Recommending Exploiting Multiple DBPedia Language Editions. SemWebEval@ESWC 2014: 144-149 - [c77]Peter Vojtás, Ladislav Peska
e-Shop User Preferences via User Behavior. ICE-B 2014: 68-75 - [c76]Ladislav Peska
Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. RuleML 2014: 251-265 - [c75]Ladislav Peska
Recommending for Disloyal Customers with Low Consumption Rate. SOFSEM 2014: 455-465 - [c74]Jirí Kubalík, Jaroslav Pokorný, Martin Víta, Peter Vojtás
Generic Private Social Network for Knowledge Management. WISE Workshops 2014: 27-41 - 2013
- [j14]Ivo Lasek, Peter Vojtás
Various approaches to text representation for named entity disambiguation. Int. J. Web Inf. Syst. 9(3): 242-259 (2013) - [c73]Peter Vojtás:
Fuzziness in Software Engineering. On Fuzziness (2) 2013: 737-743 - [c72]Ladislav Peska
Enhancing Recommender System with Linked Open Data. FQAS 2013: 483-494 - [c71]Ladislav Peska
Negative implicit feedback in e-commerce recommender systems. WIMS 2013: 45 - [e6]Peter Vojtás, Yasushi Kiyoki, Hannu Jaakkola, Takehiro Tokuda, Naofumi Yoshida:
Information Modelling and Knowledge Bases XXIV, 22nd European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2012), Prague, Czech Republic, June, 4-9, 2012. Frontiers in Artificial Intelligence and Applications 251, IOS Press 2013, ISBN 978-1-61499-176-2 [contents] - 2012
- [j13]Jan Dedek, Peter Vojtás
Fuzzy ILP Classification of web reports after linguistic text mining. Inf. Process. Manag. 48(3): 438-450 (2012) - [c70]Kamil Matousek, Jirí Kubalík, Martin Necaský, Peter Vojtás:
Exploiting Potential of the Professional Social Network Portal "SitIT". ADBIS Workshops 2012: 295-304 - [c69]Ivo Lasek, Peter Vojtás:
Models for Efficient Semantic Data Storage Demonstrated on Concrete Example of DBpedia. DATESO 2012: 103-114 - [c68]Ladislav Peska
Towards web semantization and user understanding. EJC 2012: 63-81 - [c67]Michal Kopecky
Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC 2012: 127-141 - [c66]Shiori Sasaki, Peter Vojtás
Multimedia Information Systems for Social, Cross-Cultural and Environmental Computing. EJC 2012: 344-362 - [c65]Ivo Lasek, Peter Vojtás:
Various approaches to text representation for named entity disambiguation. iiWAS 2012: 256-262 - [c64]Ladislav Peska, Peter Vojtás:
Evaluating the Importance of Various Implicit Factors in E-commerce. RUE@RecSys 2012: 51-55 - [c63]Ivo Lasek, Peter Vojtás
Context Aware Named Entity Disambiguation. Web Intelligence 2012: 402-408 - [c62]Ladislav Peska
Estimating importance of implicit factors in e-commerce recommender systems. WIMS 2012: 62:1-62:4 - 2011
- [c61]Erik Hornicák, Matús Ondreicka, Jaroslav Pokorný, Peter Vojtás:
Multi-user Searching of Top-k Objects with Data on Remote Servers. ADBIS (2) 2011: 200-211 - [c60]Peter Vojtás
SoSIReČR - IT professional social network. CASoN 2011: 108-113 - [c59]Alan Eckhardt, Peter Vojtás
User Preference Learning in Real Systems - from Events to Processes. EJC 2011: 305-312 - [c58]Alan Eckhardt, Erik Hornicák, Peter Vojtás
Evaluating Top-k Algorithms with Various Sources of Data and User Preferences. FQAS 2011: 258-269 - [c57]Ladislav Peska
UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops 2011: 306-309 - [c56]Ivo Lasek, Peter Vojtás
Evaluation of Models for Semantic Information Filtering. IHCI 2011: 221-229 - 2010
- [c55]Branislav Vaclav, Alan Eckhardt, Peter Vojtás
Pref Shop A Web Shop with User Preference Search Capabilities. Web Intelligence/IAT Workshops 2010: 330-333 - [c54]Peter Vojtás:
Information technologies - synergy of theory and application. ITAT 2010: 7-8 - [c53]Alan Eckhardt, Peter Vojtás
Learning User Preferences for 2CP-Regression for a Recommender System. SOFSEM 2010: 346-357 - [c52]Veronika Vaneková, Peter Vojtás
Comparison of Scoring and Order Approach in Description Logic EL(D). SOFSEM 2010: 709-720 - [e5]Peter Vojtás:
Proceedings of the Conference on Theory and Practice of Information Technologies, ITAT 2009, Horský hotel Kralova studna, Slovakia, September 25-29, 2009. CEUR Workshop Proceedings 584, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [j12]Peter Gurský, René Pázman, Peter Vojtás:
On Supporting Wide Range of Attribute Types for Top-K Search. Comput. Informatics 28(4): 483-513 (2009) - [j11]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) - [c51]Jaroslav Pokorný, Jana Pribolová, Peter Vojtás:
Translation of Ontology Retrieval Problem into Relational Queries. DATESO 2009: 44-55 - [c50]Jaroslav Pokorný, Jana Pribolová, Peter Vojtás
Ontology Engineering Relationally. EJC 2009: 275-282 - [c49]Alan Eckhardt, Peter Vojtás:
How to Learn Fuzzy User Preferences with Variable Objectives. IFSA/EUSFLAT Conf. 2009: 938-943 - [c48]Veronika Vaneková, Peter Vojtás:
Fuzziness as a Model of User Preference in Semantic Web Search. IFSA/EUSFLAT Conf. 2009: 998-1003 - [c47]Alan Eckhardt, Tomás Skopal
On Fuzzy vs. Metric Similarity Search in Complex Databases. FQAS 2009: 64-75 - [c46]Petr Jencek, Peter Vojtás
Sociomapping in Text Retrieval Systems. FQAS 2009: 122-133 - [c45]Alan Eckhardt, Peter Vojtás
Evaluating Natural User Preferences for Selective Retrieval. Web Intelligence/IAT Workshops 2009: 104-107 - [c44]Robert Novotny, Peter Vojtás
Information Extraction from Web Pages. Web Intelligence/IAT Workshops 2009: 121-124 - [c43]Jan Dedek, Peter Vojtás
Fuzzy Classification of Web Reports with Linguistic Text Mining. Web Intelligence/IAT Workshops 2009: 167-170 - [c42]Alan Eckhardt, Peter Vojtás
Combining Various Methods of Automated User Decision and Preferences Modelling. MDAI 2009: 172-181 - [c41]Peter Vojtás
Using Tuneable Fuzzy Similarity in Non-metric Search. SISAP 2009: 163-164 - 2008
- [j10]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) - [c40]Peter Gurský, Peter Vojtás
On Top-kSearch with No Random Access Using Small Memory. ADBIS 2008: 97-111 - [c39]Peter Vojtás:
Decathlon, Conflicting Objectives and User Preference Querying. DATESO 2008 - [c38]Veronika Vaneková, Peter Vojtás
A Description Logic with Concept Instance Ordering and Top-k Restriction. EJC 2008: 139-153 - [c37]Marie Duzí
Multi-Agent Knowledge Modelling. EJC 2008: 411-428 - [c36]Peter Vojtás
Considering Data-Mining Techniques in User Preference Learning. Web Intelligence/IAT Workshops 2008: 33-36 - [c35]Jan Dedek, Peter Vojtás
Linguistic Extraction for Semantic Annotation. IDC 2008: 85-94 - [c34]Jan Dedek, Alan Eckhardt, Leo Galambos, Peter Vojtás:
Discussion on Uncertainty Ontology for Annotation and Reasoning. URSW 2008 - [c33]Alan Eckhardt, Tomás Horváth
Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. URSW (LNCS Vol.) 2008: 207-223 - [c32]Peter Gurský, Peter Vojtás
Speeding Up the NRA Algorithm. SUM 2008: 243-255 - [e4]Peter Vojtás:
Proceedings of the Conference on Theory and Practice of Information Technologies, ITAT 2008, Hrebienok, Slovakia, September 22-26, 2008. CEUR Workshop Proceedings 414, CEUR-WS.org 2008 [contents] - [e3]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás:
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008 [contents] - 2007
- [c31]Alan Eckhardt, Jaroslav Pokorný, Peter Vojtás
Integrating user and group preferences for top-k search from distributed web resources. DEXA Workshops 2007: 317-322 - [c30]Marie Duzí, Peter Vojtás:
Multi-Criterion Search from the Semantic Point of View - (Comparing TIL and Description Logic). EJC 2007: 21-39 - [c29]Alan Eckhardt, Jaroslav Pokorný, Peter Vojtás
A System Recommending Top-k Objects for Multiple Users Preferences. FUZZ-IEEE 2007: 1-6 - [c28]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 - [c27]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás:
Uncertainty Issues in Automating Process Connecting Web and User. URSW 2007 - [c26]Alan Eckhardt, Tomás Horváth
Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. SUM 2007: 116-130 - [c25]Alan Eckhardt, Tomás Horváth
PHASES: A User Profile Learning Approach for Web Search. Web Intelligence 2007: 780-783 - 2006
- [c24]Peter Vojtás:
[Escr ][Lscr ] description logics with aggregation of user preference concepts. EJC 2006: 154-165 - [c23]Tomás Horváth
Induction of Fuzzy and Annotated Logic Programs. ILP 2006: 260-274 - [c22]Tomás Horváth
Ordinal Classification with Monotonicity Constraints. ICDM 2006: 217-225 - [c21]Peter Vojtás:
EL Description Logic Modeling Querying Web and Learning Imperfect User Preferences. URSW 2006 - [c20]Peter Gurský, Tomás Horváth
UPRE: User Preference Based Search System. Web Intelligence 2006: 841-844 - [p1]Peter Vojtás
Fuzzy logic aggregation for semantic web search for the best (top-k) answer. Fuzzy Logic and the Semantic Web 2006: 341-359 - 2005
- [c19]Peter Vojtás:
Fuzzy logic as an optimization task. EUSFLAT Conf. 2005: 781-786 - [e2]Peter Vojtás, Mária Bieliková, Bernadette Charron-Bost, Ondrej Sýkora:
SOFSEM 2005: Theory and Practice of Computer Science, 31st Conference on Current Trends in Theory and Practice of Computer Science, Liptovský Ján, Slovakia, January 22-28, 2005, Proceedings. Lecture Notes in Computer Science 3381, Springer 2005, ISBN 3-540-24302-X [contents] - 2004
- [j9]Dana Smutná, Peter Vojtás
Graded many-valued resolution with aggregation. Fuzzy Sets Syst. 143(1): 157-168 (2004) - [j8]Stanislav Krajci, Rastislav Lencses, Peter Vojtás
A comparison of fuzzy and annotated logic programming. Fuzzy Sets Syst. 144(1): 173-192 (2004) - [j7]Jesús Medina
Similarity-based unification: a multi-adjoint approach. Fuzzy Sets Syst. 146(1): 43-62 (2004) - [j6]Peter Vojtás, Tomás Horváth, Stanislav Krajci, Rastislav Lencses:
An ILP model for a monotone graded classification problem. Kybernetika 40(3): 317-332 (2004) - [c18]Tomás Horváth
Fuzzy Induction via Generalized Annotated Programs. Fuzzy Days 2004: 419-433 - [c17]Tomás Horváth
Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. BASYS 2004: 451-458 - 2003
- [j5]Manuel Ojeda-Aciego, Peter Vojtás, Slawomir Zadrozny:
Special issue: Guest Editorial [Computational and Mathematical Methods in Science and Engineering 2002 - Best Papers]. Kybernetika 39(5): 509-510 (2003) - [c16]Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás:
Towards Biresiduated Multi-adjoint Logic Programming. CAEPIA 2003: 608-617 - [e1]Branislav Rovan, Peter Vojtás:
Mathematical Foundations of Computer Science 2003, 28th International Symposium, MFCS 2003, Bratislava, Slovakia, August 25-29, 2003, Proceedings. Lecture Notes in Computer Science 2747, Springer 2003, ISBN 3-540-40671-9 [contents] - 2002
- [c15]Stanislav Krajci, Rastislav Lencses, Peter Vojtás:
A data model for annotated programs. ADBIS Research Communications 2002: 141-154 - [c14]Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás:
A Similarity-Based Unification Model for Flexible Querying. FQAS 2002: 263-273 - [c13]Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás:
Non-commutativity and Expressive Deductive Logic Databases. JELIA 2002: 149-160 - [c12]Jesús Medina
A Multi-Adjoint Approach to Similarity-Based Unification. UNCL@ICALP 2002: 70-85 - 2001
- [j4]Peter Vojtás
Fuzzy logic programming. Fuzzy Sets Syst. 124(3): 361-370 (2001) - [c11]Jaroslav Pokorný, Peter Vojtás:
A Data Model for Flexible Querying. ADBIS 2001: 280-293 - [c10]Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás:
A Procedural Semantics for Multi-adjoint Logic Programming. EPIA 2001: 290-297 - [c9]Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás:
Similarity-based unification: a multi-adjoint approach. EUSFLAT Conf. 2001: 273-276 - [c8]Jesús Medina
A Completeness Theorem for Multi-Adjoint Logic Programming. FUZZ-IEEE 2001: 1031-1034 - [c7]Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás:
A Multi-adjoint Logic Approach to Abductive Reasoning. ICLP 2001: 269-283 - [c6]Jesús Medina
Multi-adjoint Logic Programming with Continuous Semantics. LPNMR 2001: 351-364 - 2000
- [j3]Janusz Kacprzyk, Gabriella Pasi, Peter Vojtás, Slawomir Zadrozny:
Fuzzy querying: issues and perspectives. Kybernetika 36(6): 605-616 (2000) - [j2]Peter Vojtás:
Declarative and procedural semantics of fuzzy similarity based unification. Kybernetika 36(6): 707-720 (2000) - [c5]Peter Vojtás, Zdenek Fabián:
Aggregating Similar Witnesses for Flexible Query Answering. FQAS 2000: 220-229
1990 – 1999
- 1999
- [c4]Peter Vojtás:
Fuzzy logic abduction. EUSFLAT-ESTYLF Joint Conf. 1999: 319-322 - 1998
- [c3]P. Krisko, Peter Marcincák, Peter Mihók, J. Sabol, Peter Vojtás:
Low Retrieval Remote Querying Dialogue with Fuzzy Conceptual, Syntactical and Linguistical Unification. FQAS 1998: 215-226 - 1996
- [c2]Peter Vojtás, Leonard Paulík:
Soundness and Completeness of Non-classical SLD-Resolution. ELP 1996: 289-301 - 1995
- [c1]Peter Vojtás, Leonard Paulík:
Logic Programming in RPL and RQL. SOFSEM 1995: 487-492 - 1992
- [j1]Peter Vojtás
Cardinalities of noncentered systems of subsets of omega. Discret. Math. 108(1-3): 125-129 (1992)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: