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Peter Vojtás: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stanislav Krajci, Rastislav Lencses, Peter Vojtás
    A data model for annotated programs. [Citation Graph (0, 0)][DBLP]
    ADBIS Research Communications, 2002, pp:141-154 [Conf]
  2. Jaroslav Pokorný, Peter Vojtás
    A Data Model for Flexible Querying. [Citation Graph (0, 0)][DBLP]
    ADBIS, 2001, pp:280-293 [Conf]
  3. Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás
    Towards Biresiduated Multi-adjoint Logic Programming. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2003, pp:608-617 [Conf]
  4. Peter Vojtás, Leonard Paulík
    Soundness and Completeness of Non-classical SLD-Resolution. [Citation Graph (0, 0)][DBLP]
    ELP, 1996, pp:289-301 [Conf]
  5. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    A Procedural Semantics for Multi-adjoint Logic Programming. [Citation Graph (0, 0)][DBLP]
    EPIA, 2001, pp:290-297 [Conf]
  6. Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    A Similarity-Based Unification Model for Flexible Querying. [Citation Graph (0, 0)][DBLP]
    FQAS, 2002, pp:263-273 [Conf]
  7. P. Krisko, Peter Marcincák, P. Mihók, J. Sabol, Peter Vojtás
    Low Retrieval Remote Querying Dialogue with Fuzzy Conceptual, Syntactical and Linguistical Unification. [Citation Graph (0, 0)][DBLP]
    FQAS, 1998, pp:215-226 [Conf]
  8. Peter Vojtás, Zdenek Fabián
    Aggregating Similar Witnesses for Flexible Query Answering. [Citation Graph (0, 0)][DBLP]
    FQAS, 2000, pp:220-229 [Conf]
  9. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    A Completeness Theorem for Multi-Adjoint Logic Programming. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1031-1034 [Conf]
  10. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    A Multi-adjoint Logic Approach to Abductive Reasoning. [Citation Graph (0, 0)][DBLP]
    ICLP, 2001, pp:269-283 [Conf]
  11. Tomás Horváth, Frantissek Sudzina, Peter Vojtás
    Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. [Citation Graph (0, 0)][DBLP]
    BASYS, 2004, pp:451-458 [Conf]
  12. Tomás Horváth, Peter Vojtás
    Ordinal Classification with Monotonicity Constraints. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:217-225 [Conf]
  13. Stanislav Krajci, Rastislav Lencses, Jesús Medina, Manuel Ojeda-Aciego, Agustín Valverde, Peter Vojtás
    Non-commutativity and Expressive Deductive Logic Databases. [Citation Graph (0, 0)][DBLP]
    JELIA, 2002, pp:149-160 [Conf]
  14. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    Multi-adjoint Logic Programming with Continuous Semantics. [Citation Graph (0, 0)][DBLP]
    LPNMR, 2001, pp:351-364 [Conf]
  15. Peter Vojtás, Leonard Paulík
    Logic Programming in RPL and RQL. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1995, pp:487-492 [Conf]
  16. Peter Gurský, Tomás Horváth, Robert Novotny, Veronika Vanekova, Peter Vojtás
    UPRE: User Preference Based Search System. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2006, pp:841-844 [Conf]
  17. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    A Multi-Adjoint Approach to Similarity-Based Unification. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2002, v:66, n:5, pp:- [Journal]
  18. Stanislav Krajci, Rastislav Lencses, Peter Vojtás
    A comparison of fuzzy and annotated logic programming. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:144, n:1, pp:173-192 [Journal]
  19. Jesús Medina, Manuel Ojeda-Aciego, Peter Vojtás
    Similarity-based unification: a multi-adjoint approach. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:146, n:1, pp:43-62 [Journal]
  20. Dana Smutná, Peter Vojtás
    Graded many-valued resolution with aggregation. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:143, n:1, pp:157-168 [Journal]
  21. Peter Vojtás
    Fuzzy logic programming. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:124, n:3, pp:361-370 [Journal]
  22. Alan Eckhardt, Jaroslav Pokorný, Peter Vojtás
    Integrating user and group preferences for top-k search from distributed web resources. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2007, pp:317-322 [Conf]
  23. Tomás Horváth, Peter Vojtás
    Induction of Fuzzy and Annotated Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:260-274 [Conf]
  24. Alan Eckhardt, Tomás Horváth, Peter Vojtás
    Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. [Citation Graph (0, 0)][DBLP]
    SUM, 2007, pp:116-130 [Conf]
  25. Peter Vojtás
    Cardinalities of noncentered systems of subsets of omega. [Citation Graph (0, 0)][DBLP]
    Discrete Mathematics, 1992, v:108, n:1-3, pp:125-129 [Journal]

  26. On Top-kSearch with No Random Access Using Small Memory. [Citation Graph (, )][DBLP]


  27. Decathlon, Conflicting Objectives and User Preference Querying. [Citation Graph (, )][DBLP]


  28. Multi-Criterion Search from the Semantic Point of View - (Comparing TIL and Description Logic). [Citation Graph (, )][DBLP]


  29. [Escr ][Lscr ] description logics with aggregation of user preference concepts. [Citation Graph (, )][DBLP]


  30. Multi-Agent Knowledge Modelling. [Citation Graph (, )][DBLP]


  31. A Description Logic with Concept Instance Ordering and Top-k Restriction. [Citation Graph (, )][DBLP]


  32. Ontology Engineering Relationally. [Citation Graph (, )][DBLP]


  33. Sociomapping in Text Retrieval Systems. [Citation Graph (, )][DBLP]


  34. On Fuzzy vs. Metric Similarity Search in Complex Databases. [Citation Graph (, )][DBLP]


  35. A System Recommending Top-k Objects for Multiple Users Preferences. [Citation Graph (, )][DBLP]


  36. Fuzzy Induction via Generalized Annotated Programs. [Citation Graph (, )][DBLP]


  37. Considering Data-Mining Techniques in User Preference Learning. [Citation Graph (, )][DBLP]


  38. Information Extraction from Web Pages. [Citation Graph (, )][DBLP]


  39. Fuzzy Classification of Web Reports with Linguistic Text Mining. [Citation Graph (, )][DBLP]


  40. Evaluating Natural User Preferences for Selective Retrieval. [Citation Graph (, )][DBLP]


  41. Combining Various Methods of Automated User Decision and Preferences Modelling. [Citation Graph (, )][DBLP]


  42. Uncertainty Issues in Automating Process Connecting Web and User. [Citation Graph (, )][DBLP]


  43. Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. [Citation Graph (, )][DBLP]


  44. Discussion on Uncertainty Ontology for Annotation and Reasoning. [Citation Graph (, )][DBLP]


  45. EL Description Logic Modeling Querying Web and Learning Imperfect User Preferences. [Citation Graph (, )][DBLP]


  46. Learning User Preferences for 2CP-Regression for a Recommender System. [Citation Graph (, )][DBLP]


  47. Comparison of Scoring and Order Approach in Description Logic EL(D). [Citation Graph (, )][DBLP]


  48. PHASES: A User Profile Learning Approach for Web Search. [Citation Graph (, )][DBLP]


  49. Speeding Up the NRA Algorithm. [Citation Graph (, )][DBLP]


  50. Fuzzy logic as an optimization task. [Citation Graph (, )][DBLP]


  51. Similarity-based unification: a multi-adjoint approach. [Citation Graph (, )][DBLP]


  52. Fuzzy logic abduction. [Citation Graph (, )][DBLP]


  53. How to Learn Fuzzy User Preferences with Variable Objectives. [Citation Graph (, )][DBLP]


  54. Fuzziness as a Model of User Preference in Semantic Web Search. [Citation Graph (, )][DBLP]


  55. Linguistic Extraction for Semantic Annotation. [Citation Graph (, )][DBLP]


  56. Using Tuneable Fuzzy Similarity in Non-metric Search. [Citation Graph (, )][DBLP]


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