Cardinalities of noncentered systems of subsets of omega. - Peter Vojtás (Discret. Math., 1992)

Logic Programming in RPL and RQL. - Peter Vojtás; Leonard Paulík (SOFSEM, 1995)

Soundness and Completeness of Non-classical SLD-Resolution. - Peter Vojtás; Leonard Paulík (ELP, 1996)

Low Retrieval Remote Querying Dialogue with Fuzzy Conceptual, Syntactical and Linguistical Unification. - P. Krisko; Peter Marcincák; Peter Mihók; J. Sabol; Peter Vojtás (FQAS, 1998)

Fuzzy logic abduction. - Peter Vojtás (EUSFLAT-ESTYLF Joint Conf., 1999)

Aggregating Similar Witnesses for Flexible Query Answering. - Peter Vojtás; Zdenek Fabián (FQAS, 2000)

Fuzzy querying: issues and perspectives. - Janusz Kacprzyk; Gabriella Pasi; Peter Vojtás; Slawomir Zadrozny (Kybernetika, 2000)

Declarative and procedural semantics of fuzzy similarity based unification. - Peter Vojtás (Kybernetika, 2000)

A Data Model for Flexible Querying. - Jaroslav Pokorný; Peter Vojtás (ADBIS, 2001)

A Procedural Semantics for Multi-adjoint Logic Programming. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (EPIA, 2001)

A Completeness Theorem for Multi-Adjoint Logic Programming. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (FUZZ-IEEE, 2001)

A Multi-adjoint Logic Approach to Abductive Reasoning. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (ICLP, 2001)

Multi-adjoint Logic Programming with Continuous Semantics. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (LPNMR, 2001)

Fuzzy logic programming. - Peter Vojtás (Fuzzy Sets Syst., 2001)

A data model for annotated programs. - Stanislav Krajci; Rastislav Lencses; Peter Vojtás (ADBIS Research Communications, 2002)

A Similarity-Based Unification Model for Flexible Querying. - Stanislav Krajci; Rastislav Lencses; Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (FQAS, 2002)

Non-commutativity and Expressive Deductive Logic Databases. - Stanislav Krajci; Rastislav Lencses; Jesús Medina 001; Manuel Ojeda-Aciego; Agustín Valverde; Peter Vojtás (JELIA, 2002)

A Multi-Adjoint Approach to Similarity-Based Unification. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (UNCL@ICALP, 2002)

Towards Biresiduated Multi-adjoint Logic Programming. - Jesús Medina 001; Manuel Ojeda-Aciego; Agustín Valverde; Peter Vojtás (CAEPIA, 2003)

Special issue: Guest Editorial [Computational and Mathematical Methods in Science and Engineering 2002 - Best Papers]. - Manuel Ojeda-Aciego; Peter Vojtás; Slawomir Zadrozny (Kybernetika, 2003)

Fuzzy Induction via Generalized Annotated Programs. - Tomás Horváth; Peter Vojtás (Fuzzy Days, 2004)

Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. - Tomás Horváth; Frantisek Sudzina; Peter Vojtás (BASYS, 2004)

A comparison of fuzzy and annotated logic programming. - Stanislav Krajci; Rastislav Lencses; Peter Vojtás (Fuzzy Sets Syst., 2004)

Similarity-based unification: a multi-adjoint approach. - Jesús Medina 001; Manuel Ojeda-Aciego; Peter Vojtás (Fuzzy Sets Syst., 2004)

Graded many-valued resolution with aggregation. - Dana Smutná; Peter Vojtás (Fuzzy Sets Syst., 2004)

An ILP model for a monotone graded classification problem. - Peter Vojtás; Tomás Horváth; Stanislav Krajci; Rastislav Lencses (Kybernetika, 2004)

Fuzzy logic as an optimization task. - Peter Vojtás (EUSFLAT Conf., 2005)

Fuzzy logic aggregation for semantic web search for the best (top-k) answer. - Peter Vojtás (Fuzzy Logic and the Semantic Web, 2006)

[Escr ][Lscr ] description logics with aggregation of user preference concepts. - Peter Vojtás (EJC, 2006)

Induction of Fuzzy and Annotated Logic Programs. - Tomás Horváth; Peter Vojtás (ILP, 2006)

Ordinal Classification with Monotonicity Constraints. - Tomás Horváth; Peter Vojtás (ICDM, 2006)

EL Description Logic Modeling Querying Web and Learning Imperfect User Preferences. - Peter Vojtás (URSW, 2006)

UPRE: User Preference Based Search System. - Peter Gurský; Tomás Horváth; Robert Novotny; Veronika Vaneková; Peter Vojtás (Web Intelligence, 2006)

Integrating user and group preferences for top-k search from distributed web resources. - Alan Eckhardt; Jaroslav Pokorný; Peter Vojtás (DEXA Workshops, 2007)

Multi-Criterion Search from the Semantic Point of View - (Comparing TIL and Description Logic). - Marie Duzí; Peter Vojtás (EJC, 2007)

A System Recommending Top-k Objects for Multiple Users Preferences. - Alan Eckhardt; Jaroslav Pokorný; Peter Vojtás (FUZZ-IEEE, 2007)

Knowledge Processing for Web Search - An Integrated Model. - Peter Gurský; Tomás Horváth; Jozef Jirásek 001; Stanislav Krajci; Robert Novotny; Veronika Vaneková; Peter Vojtás (IDC, 2007)

Uncertainty Issues in Automating Process Connecting Web and User. - Alan Eckhardt; Tomás Horváth; Dusan Maruscák; Robert Novotny; Peter Vojtás (URSW, 2007)

Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. - Alan Eckhardt; Tomás Horváth; Peter Vojtás (SUM, 2007)

PHASES: A User Profile Learning Approach for Web Search. - Alan Eckhardt; Tomás Horváth; Peter Vojtás (Web Intelligence, 2007)

On Top-kSearch with No Random Access Using Small Memory. - Peter Gurský; Peter Vojtás (ADBIS, 2008)

Decathlon, Conflicting Objectives and User Preference Querying. - Peter Vojtás (DATESO, 2008)

Multi-Agent Knowledge Modelling. - Marie Duzí; Anneli Heimbürger; Takehiro Tokuda; Peter Vojtás; Naofumi Yoshida (EJC, 2008)

A Description Logic with Concept Instance Ordering and Top-k Restriction. - Veronika Vaneková; Peter Vojtás (EJC, 2008)

Considering Data-Mining Techniques in User Preference Learning. - Peter Vojtás; Alan Eckhardt (Web Intelligence/IAT Workshops, 2008)

Linguistic Extraction for Semantic Annotation. - Jan Dedek; Peter Vojtás (IDC, 2008)

Discussion on Uncertainty Ontology for Annotation and Reasoning. - Jan Dedek; Alan Eckhardt; Leo Galambos; Peter Vojtás (URSW, 2008)

Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. - Alan Eckhardt; Tomás Horváth; Dusan Maruscák; Robert Novotny; Peter Vojtás (URSW (LNCS Vol.), 2008)

Speeding Up the NRA Algorithm. - Peter Gurský; Peter Vojtás (SUM, 2008)

Knowledge Processing for Web Search - An Integrated Model and Experiments. - Peter Gurský; Tomás Horváth; Jozef Jirásek 001; Robert Novotny; Jana Pribolová; Veronika Vaneková; Peter Vojtás (Scalable Comput. Pract. Exp., 2008)

Translation of Ontology Retrieval Problem into Relational Queries. - Jaroslav Pokorný; Jana Pribolová; Peter Vojtás (DATESO, 2009)

Ontology Engineering Relationally. - Jaroslav Pokorný; Jana Pribolová; Peter Vojtás (EJC, 2009)

How to Learn Fuzzy User Preferences with Variable Objectives. - Alan Eckhardt; Peter Vojtás (IFSA/EUSFLAT Conf., 2009)

Fuzziness as a Model of User Preference in Semantic Web Search. - Veronika Vaneková; Peter Vojtás (IFSA/EUSFLAT Conf., 2009)

On Fuzzy vs. Metric Similarity Search in Complex Databases. - Alan Eckhardt; Tomás Skopal; Peter Vojtás (FQAS, 2009)

Sociomapping in Text Retrieval Systems. - Petr Jencek; Peter Vojtás; Michal Kopecky; Cyril Hösch (FQAS, 2009)

Fuzzy Classification of Web Reports with Linguistic Text Mining. - Jan Dedek; Peter Vojtás (Web Intelligence/IAT Workshops, 2009)

Evaluating Natural User Preferences for Selective Retrieval. - Alan Eckhardt; Peter Vojtás (Web Intelligence/IAT Workshops, 2009)

Information Extraction from Web Pages. - Robert Novotny; Peter Vojtás; Dusan Maruscák (Web Intelligence/IAT Workshops, 2009)

Combining Various Methods of Automated User Decision and Preferences Modelling. - Alan Eckhardt; Peter Vojtás (MDAI, 2009)

Using Tuneable Fuzzy Similarity in Non-metric Search. - Peter Vojtás; Alan Eckhardt (SISAP, 2009)

User Preference Web Search – Experiments with a System Connecting Web and User. - Peter Gurský; Tomás Horváth; Peter Vojtás; Jozef Jirásek 001; Stanislav Krajci; Robert Novotny; Jana Pribolová; Veronika Vaneková (Comput. Informatics, 2009)

On Supporting Wide Range of Attribute Types for Top-K Search. - Peter Gurský; René Pázman; Peter Vojtás (Comput. Informatics, 2009)

Pref Shop A Web Shop with User Preference Search Capabilities. - Branislav Vaclav; Alan Eckhardt; Peter Vojtás (Web Intelligence/IAT Workshops, 2010)

Information technologies - synergy of theory and application. - Peter Vojtás (ITAT, 2010)

Learning User Preferences for 2CP-Regression for a Recommender System. - Alan Eckhardt; Peter Vojtás (SOFSEM, 2010)

Comparison of Scoring and Order Approach in Description Logic EL(D). - Veronika Vaneková; Peter Vojtás (SOFSEM, 2010)

Multi-user Searching of Top-k Objects with Data on Remote Servers. - Erik Hornicák; Matús Ondreicka; Jaroslav Pokorný; Peter Vojtás (ADBIS (2), 2011)

SoSIReČR - IT professional social network. - Peter Vojtás; Jaroslav Pokorný; Martin Necaský; Tomás Skopal; Kamil Matousek; Jirí Kubalík; Ota Novotný; Milos Maryska (CASoN, 2011)

User Preference Learning in Real Systems - from Events to Processes. - Alan Eckhardt; Peter Vojtás (EJC, 2011)

Evaluating Top-k Algorithms with Various Sources of Data and User Preferences. - Alan Eckhardt; Erik Hornicák; Peter Vojtás (FQAS, 2011)

UPComp - A PHP Component for Recommendation Based on User Behaviour. - Ladislav Peska; Alan Eckhardt; Peter Vojtás (Web Intelligence/IAT Workshops, 2011)

Evaluation of Models for Semantic Information Filtering. - Ivo Lasek; Peter Vojtás (IHCI, 2011)

Exploiting Potential of the Professional Social Network Portal "SitIT". - Kamil Matousek; Jirí Kubalík; Martin Necaský; Peter Vojtás (ADBIS Workshops, 2012)

Models for Efficient Semantic Data Storage Demonstrated on Concrete Example of DBpedia. - Ivo Lasek; Peter Vojtás (DATESO, 2012)

Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. - Michal Kopecky; Jaroslav Pokorný; Peter Vojtás; Jirí Kubalík; Kamil Matousek; Milos Maryska; Ota Novotný; Ladislav Peska (EJC, 2012)

Towards web semantization and user understanding. - Ladislav Peska; Ivo Lasek; Alan Eckhardt; Jan Dedek; Peter Vojtás; Dominik Fiser (EJC, 2012)

Multimedia Information Systems for Social, Cross-Cultural and Environmental Computing. - Shiori Sasaki; Peter Vojtás; Kai Jannaschk; Bernhard Thalheim; Hannu Jaakkola; Yasushi Kiyoki (EJC, 2012)

Evaluating the Importance of Various Implicit Factors in E-commerce. - Ladislav Peska; Peter Vojtás (RUE@RecSys, 2012)

Context Aware Named Entity Disambiguation. - Ivo Lasek; Peter Vojtás (Web Intelligence, 2012)

Estimating importance of implicit factors in e-commerce recommender systems. - Ladislav Peska; Peter Vojtás (WIMS, 2012)

Fuzzy ILP Classification of web reports after linguistic text mining. - Jan Dedek; Peter Vojtás; Marta Vomlelová (Inf. Process. Manag., 2012)

Fuzziness in Software Engineering. - Peter Vojtás (On Fuzziness (2), 2013)

Enhancing Recommender System with Linked Open Data. - Ladislav Peska; Peter Vojtás (FQAS, 2013)

Negative implicit feedback in e-commerce recommender systems. - Ladislav Peska; Peter Vojtás (WIMS, 2013)

Various approaches to text representation for named entity disambiguation. - Ivo Lasek; Peter Vojtás (Int. J. Web Inf. Syst., 2013)

Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. - Ladislav Peska; Peter Vojtás (EC-Web, 2014)

Hybrid Recommending Exploiting Multiple DBPedia Language Editions. - Ladislav Peska; Peter Vojtás (SemWebEval@ESWC, 2014)

e-Shop User Preferences via User Behavior. - Peter Vojtás; Ladislav Peska (ICE-B, 2014)

Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. - Ladislav Peska; Peter Vojtás (RuleML, 2014)

Recommending for Disloyal Customers with Low Consumption Rate. - Ladislav Peska; Peter Vojtás (SOFSEM, 2014)

Generic Private Social Network for Knowledge Management. - Jirí Kubalík; Jaroslav Pokorný; Martin Víta; Peter Vojtás (WISE Workshops, 2014)

Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. - Ladislav Peska; Peter Vojtás (DATESO, 2015)

Using Implicit Preference Relations to Improve Content Based Recommending. - Ladislav Peska; Peter Vojtás (EC-Web, 2015)

Monotonization of User Preferences. - Michal Kopecky; Ladislav Peska; Peter Vojtás; Marta Vomlelová (FQAS, 2015)

Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems. - Peter Vojtás; Michal Kopecky; Marta Vomlelová (MEMICS, 2015)

How to Interpret Implicit User Feedback? - Ladislav Peska; Peter Vojtás (RecSys Posters, 2015)

Transformation and Aggregation Preprocessing for Top-k Recommendation GAP Rules Induction. - Marta Vomlelová; Michal Kopecky; Peter Vojtás (Challenge+DC@RuleML, 2015)

Using Linked Open Data in Recommender Systems. - Ladislav Peska; Peter Vojtás (WIMS, 2015)

Basis Functions as Pivots in Space of Users Preferences. - Michal Kopecky; Marta Vomlelová; Peter Vojtás (ADBIS (Short Papers and Workshops), 2016)

Towards Complex User Feedback and Presentation Context in Recommender Systems. - Ladislav Peska; Peter Vojtás (BTW (Workshops), 2017)

Repeatable Web Data Extraction and Interlinking. - Michal Kopecky; Marta Vomlelová; Peter Vojtás (ITAT, 2017)

Using Implicit Preference Relations to Improve Recommender Systems. - Ladislav Peska; Peter Vojtás (J. Data Semant., 2017)

28th ACM International Conference on Hypertext and Social Media. - Peter Dolog; Peter Vojtás; Francesco Bonchi; Denis Helic (SIGWEB Newsl., 2017)

Invited papers from the ACM conference on hypertext and social media. - Francesco Bonchi; Peter Dolog; Denis Helic; Peter Vojtás (New Rev. Hypermedia Multim., 2018)

Graphical E-Commerce Values Filtering Model in Spatial Database Framework. - Michal Kopecky; Peter Vojtás (ADBIS (Short Papers and Workshops), 2019)

Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. - Ladislav Peska; Peter Vojtás (FUZZ-IEEE, 2020)

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. - Ladislav Peska; Peter Vojtás (HT, 2020)

Visual e-commerce values filtering framework with spatial database metric. - Michal Kopecky; Peter Vojtás (Comput. Sci. Inf. Syst., 2020)

Deep Learning for Knowledge Extraction from UAV Images. - Samuel Brezani; R. Hrasko; D. Vanco; J. Vojtas; Peter Vojtás (EJC, 2021)

Aggregation for Flexible Challenge Response. - Samuel Brezani; Peter Vojtás (FQAS, 2021)

Increasing Business Opportunities for Drone Services. - Samuel Brezani; R. Hrasko; D. Vanco; Peter Vojtás (ICE-B, 2021)

Smart extensions to regular cameras in the industrial environment. - Samuel Brezani; R. Hrasko; Peter Vojtás (ISM, 2021)

Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations. - Stepán Balcar; Ladislav Peska; Peter Vojtás (ICCAI, 2022)

Personalisation of d'Hondt's algorithm and its use in recommender ecosystems. - Stepán Balcar; Ladislav Peska; Peter Vojtás (CoRR, 2024)