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Peter Vojtás
2010 – today
- 2013
[j11]- [c68]Ladislav Peska, Peter Vojtás: Enhancing Recommender System with Linked Open Data. FQAS 2013: 483-494
- [c67]Ladislav Peska, Peter Vojtás: Negative implicit feedback in e-commerce recommender systems. WIMS 2013: 45
- [e5]Peter Vojtás, Yasushi Kiyoki, Hannu Jaakkola, Takehiro Tokuda, Naofumi Yoshida (Eds.): 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
- 2012
- [j10]Jan Dedek, Peter Vojtás, Marta Vomlelová: Fuzzy ILP Classification of web reports after linguistic text mining. Inf. Process. Manage. 48(3): 438-450 (2012)
- [c66]Kamil Matousek, Jirí Kubalík, Martin Necaský, Peter Vojtás: Exploiting Potential of the Professional Social Network Portal "SitIT". ADBIS Workshops 2012: 295-304
- [c65]Ivo Lasek, Peter Vojtás: Models for Efficient Semantic Data Storage Demonstrated on Concrete Example of DBpedia. DATESO 2012: 103-114
- [c64]Ladislav Peska, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojtás, Dominik Fiser: Towards web semantization and user understanding. EJC 2012: 63-81
- [c63]Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska: Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC 2012: 127-141
- [c62]Shiori Sasaki, Peter Vojtás, Kai Jannaschk, Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki: Multimedia Information Systems for Social, Cross-Cultural and Environmental Computing. EJC 2012: 344-362
- [c61]Ivo Lasek, Peter Vojtás: Various approaches to text representation for named entity disambiguation. iiWAS 2012: 256-262
- [c60]Ladislav Peska, Peter Vojtás: Estimating importance of implicit factors in e-commerce recommender systems. WIMS 2012: 62
- 2011
- [c59]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
- [c58]Peter Vojtás, Jaroslav Pokorný, Martin Necaský, Tomás Skopal, Kamil Matousek, Jirí Kubalík, Ota Novotný, Milos Maryska: SoSIReČR - IT professional social network. CASoN 2011: 108-113
- [c57]Alan Eckhardt, Peter Vojtás: User Preference Learning in Real Systems - from Events to Processes. EJC 2011: 305-312
- [c56]Alan Eckhardt, Erik Hornicák, Peter Vojtás: Evaluating Top-k Algorithms with Various Sources of Data and User Preferences. FQAS 2011: 258-269
- [c55]Ladislav Peska, Alan Eckhardt, Peter Vojtás: UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops 2011: 306-309
- 2010
- [c54]Branislav Vaclav, Alan Eckhardt, Peter Vojtás: Pref Shop A Web Shop with User Preference Search Capabilities. Web Intelligence/IAT Workshops 2010: 330-333
- [c53]
- [c52]Alan Eckhardt, Peter Vojtás: Learning User Preferences for 2CP-Regression for a Recommender System. SOFSEM 2010: 346-357
- [c51]Veronika Vaneková, Peter Vojtás: Comparison of Scoring and Order Approach in Description Logic EL(D). SOFSEM 2010: 709-720
2000 – 2009
- 2009
- [j9]Peter Gurský, René Pázman, Peter Vojtás: On Supporting Wide Range of Attribute Types for Top-K Search. Computing and Informatics 28(4): 483-513 (2009)
- [j8]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. Computing and Informatics 28(4): 515-553 (2009)
- [c50]Jaroslav Pokorný, Jana Pribolová, Peter Vojtás: Translation of Ontology Retrieval Problem into Relational Queries. DATESO 2009: 44-55
- [c49]Jaroslav Pokorný, Jana Pribolová, Peter Vojtás: Ontology Engineering Relationally. EJC 2009: 275-282
- [c48]Alan Eckhardt, Peter Vojtás: How to Learn Fuzzy User Preferences with Variable Objectives. IFSA/EUSFLAT Conf. 2009: 938-943
- [c47]Veronika Vaneková, Peter Vojtás: Fuzziness as a Model of User Preference in Semantic Web Search. IFSA/EUSFLAT Conf. 2009: 998-1003
- [c46]Alan Eckhardt, Tomás Skopal, Peter Vojtás: On Fuzzy vs. Metric Similarity Search in Complex Databases. FQAS 2009: 64-75
- [c45]Petr Jencek, Peter Vojtás, Michal Kopecky, Cyril Hösch: Sociomapping in Text Retrieval Systems. FQAS 2009: 122-133
- [c44]Alan Eckhardt, Peter Vojtás: Evaluating Natural User Preferences for Selective Retrieval. Web Intelligence/IAT Workshops 2009: 104-107
- [c43]Robert Novotny, Peter Vojtás, Dusan Maruscák: Information Extraction from Web Pages. Web Intelligence/IAT Workshops 2009: 121-124
- [c42]Jan Dedek, Peter Vojtás: Fuzzy Classification of Web Reports with Linguistic Text Mining. Web Intelligence/IAT Workshops 2009: 167-170
- [c41]Alan Eckhardt, Peter Vojtás: Combining Various Methods of Automated User Decision and Preferences Modelling. MDAI 2009: 172-181
- [c40]Peter Vojtás, Alan Eckhardt: Using Tuneable Fuzzy Similarity in Non-metric Search. SISAP 2009: 163-164
- [e4]Peter Vojtás (Ed.): 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 2009
- 2008
- [j7]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 Computing: Practice and Experience 9(1) (2008)
- [c39]Peter Gurský, Peter Vojtás: On Top-kSearch with No Random Access Using Small Memory. ADBIS 2008: 97-111
- [c38]
- [c37]Veronika Vaneková, Peter Vojtás: A Description Logic with Concept Instance Ordering and Top-k Restriction. EJC 2008: 139-153
- [c36]Marie Duzí, Anneli Heimbürger, Takehiro Tokuda, Peter Vojtás, Naofumi Yoshida: Multi-Agent Knowledge Modelling. EJC 2008: 411-428
- [c35]Peter Vojtás, Alan Eckhardt: Considering Data-Mining Techniques in User Preference Learning. Web Intelligence/IAT Workshops 2008: 33-36
- [c34]
- [c33]Jan Dedek, Alan Eckhardt, Leo Galambos, Peter Vojtás: Discussion on Uncertainty Ontology for Annotation and Reasoning. URSW 2008
- [c32]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás: Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. URSW (LNCS Vol.) 2008: 207-223
- [c31]
- [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 (Eds.): 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
- 2007
- [c30]Alan Eckhardt, Jaroslav Pokorný, Peter Vojtás: Integrating user and group preferences for top-k search from distributed web resources. DEXA Workshops 2007: 317-322
- [c29]Marie Duzí, Peter Vojtás: Multi-Criterion Search from the Semantic Point of View - (Comparing TIL and Description Logic). EJC 2007: 21-39
- [c28]Alan Eckhardt, Jaroslav Pokorný, Peter Vojtás: A System Recommending Top-k Objects for Multiple Users Preferences. FUZZ-IEEE 2007: 1-6
- [c27]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
- [c26]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás: Uncertainty Issues in Automating Process Connecting Web and User. URSW 2007
- [c25]Alan Eckhardt, Tomás Horváth, Peter Vojtás: Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. SUM 2007: 116-130
- [c24]Alan Eckhardt, Tomás Horváth, Peter Vojtás: PHASES: A User Profile Learning Approach for Web Search. Web Intelligence 2007: 780-783
- 2006
- [c23]Peter Vojtás: [Escr ][Lscr ] description logics with aggregation of user preference concepts. EJC 2006: 154-165
- [c22]
- [c21]Tomás Horváth, Peter Vojtás: Ordinal Classification with Monotonicity Constraints. Industrial Conference on Data Mining 2006: 217-225
- [c20]Peter Vojtás: EL Description Logic Modeling Querying Web and Learning Imperfect User Preferences. URSW 2006
- [c19]Peter Gurský, Tomás Horváth, Robert Novotny, Veronika Vaneková, Peter Vojtás: UPRE: User Preference Based Search System. Web Intelligence 2006: 841-844
- 2005
- [c18]
- [e2]Peter Vojtás, Mária Bieliková, Bernadette Charron-Bost, Ondrej Sýkora (Eds.): 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
- 2004
- [j6]Dana Smutná, Peter Vojtás: Graded many-valued resolution with aggregation. Fuzzy Sets and Systems 143(1): 157-168 (2004)
- [j5]Stanislav Krajci, Rastislav Lencses, Peter Vojtás: A comparison of fuzzy and annotated logic programming. Fuzzy Sets and Systems 144(1): 173-192 (2004)
- [j4]Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás: Similarity-based unification: a multi-adjoint approach. Fuzzy Sets and Systems 146(1): 43-62 (2004)
- [c17]Tomás Horváth, Peter Vojtás: Fuzzy Induction via Generalized Annotated Programs. Fuzzy Days 2004: 419-433
- [c16]Tomás Horváth, Frantisek Sudzina, Peter Vojtás: Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. BASYS 2004: 451-458
- 2003
- [c15]Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás: Towards Biresiduated Multi-adjoint Logic Programming. CAEPIA 2003: 608-617
- [e1]Branislav Rovan, Peter Vojtás (Eds.): 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
- 2002
- [j3]Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás: A Multi-Adjoint Approach to Similarity-Based Unification. Electr. Notes Theor. Comput. Sci. 66(5): 70-85 (2002)
- [c14]Stanislav Krajci, Rastislav Lencses, Peter Vojtás: A data model for annotated programs. ADBIS Research Communications 2002: 141-154
- [c13]Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás: A Similarity-Based Unification Model for Flexible Querying. FQAS 2002: 263-273
- [c12]Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás: Non-commutativity and Expressive Deductive Logic Databases. JELIA 2002: 149-160
- 2001
- [j2]
- [c11]
- [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, Manuel Ojeda-Aciego, Peter Vojtás: 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, Manuel Ojeda-Aciego, Peter Vojtás: Multi-adjoint Logic Programming with Continuous Semantics. LPNMR 2001: 351-364
- 2000
- [c5]Peter Vojtás, Zdenek Fabián: Aggregating Similar Witnesses for Flexible Query Answering. FQAS 2000: 220-229
1990 – 1999
- 1999
- [c4]
- 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]
- 1992
- [j1]Peter Vojtás: Cardinalities of noncentered systems of subsets of omega. Discrete Mathematics 108(1-3): 125-129 (1992)
Coauthor Index
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last updated on 2013-10-02 11:13 CEST by the dblp team