The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Dominik Slezak: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak
    Gene Expression Clustering: Dealing with the Missing Values. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2005, pp:521-530 [Conf]
  2. Witold Kosinski, Piotr Prokopowicz, Dominik Slezak
    Fuzzy Reals with Algebraic Operations: Algorithmic Approach. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2002, pp:311-320 [Conf]
  3. Witold Kosinski, Piotr Prokopowicz, Dominik Slezak
    Algebraic Operations on Fuzzy Numbers. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:353-362 [Conf]
  4. Alicja Wieczorkowska, Jakub Wroblewski, Dominik Slezak, Piotr Synak
    Problems with Automatic Classification of Musical Sounds. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:423-430 [Conf]
  5. Witold Kosinski, Piotr Prokopowicz, Dominik Slezak
    Calculus with Fuzzy Numbers. [Citation Graph (0, 0)][DBLP]
    IMTCI, 2004, pp:21-28 [Conf]
  6. Jan G. Bazan, Andrzej Skowron, Dominik Slezak, Jakub Wroblewski
    Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:160-168 [Conf]
  7. Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak
    Interactive SOM-Based Gene Grouping: An Approach to Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:514-523 [Conf]
  8. Dominik Slezak
    Association Reducts: A Framework for Mining Multi-attribute Dependencies. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:354-363 [Conf]
  9. Dominik Slezak
    Decision Value Oriented Decomposition of Data Tables. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:487-496 [Conf]
  10. Dominik Slezak, Piotr Synak, Alicja Wieczorkowska, Jakub Wroblewski
    KDD-Based Approach to Musical Instrument Sound Recognition. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:28-36 [Conf]
  11. Dominik Slezak, Jakub Wroblewski, Marcin S. Szczuka
    Constructing Extensions of Bayesian Classifiers with Use of Normalizing Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:408-416 [Conf]
  12. Rafal Deja, Dominik Slezak
    Rough Set Theory in Conflict Analysis. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:349-353 [Conf]
  13. Dominik Slezak
    Classification Models Based on Approximate Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:364-369 [Conf]
  14. Hung Son Nguyen, Marcin S. Szczuka, Dominik Slezak
    Neural Networks Design: Rough Set Approach to Continuous Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:359-366 [Conf]
  15. Dominik Slezak, Jakub Wroblewski
    Classification Algorithms Based on Linear Combinations of Features. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:548-553 [Conf]
  16. Mohammad M. Rahman, Dominik Slezak, Jakub Wroblewski
    Parallel Island Model for Attribute Reduction. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:714-719 [Conf]
  17. Sebastian Widz, Kenneth Revett, Dominik Slezak
    A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:756-761 [Conf]
  18. Jan G. Bazan, Antoni Osmólski, Andrzej Skowron, Dominik Slezak, Marcin S. Szczuka, Jakub Wroblewski
    Rough Set Approach to the Survival Analysis. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:522-529 [Conf]
  19. Maciej Borkowski, Dominik Slezak
    Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:123-130 [Conf]
  20. Dominik Slezak
    The Rough Bayesian Model for Distributed Decision Systems. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:384-393 [Conf]
  21. Dominik Slezak
    Association Reducts: Complexity and Heuristics. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:157-164 [Conf]
  22. Dominik Slezak
    Searching for Frequential Reducts in Decision Tables with Uncertain Objects. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:52-59 [Conf]
  23. Dominik Slezak, Marcin S. Szczuka, Jakub Wroblewski
    Harnessing Classifier Networks ? Towards Hierarchical Concept Construction. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:554-560 [Conf]
  24. Dominik Slezak, Jakub Wroblewski
    Application of Normalized Decision Measures to the New Case Classification. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:553-560 [Conf]
  25. Dominik Slezak, Jakub Wroblewski
    Approximate Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:365-372 [Conf]
  26. Sebastian Widz, Kenneth Revett, Dominik Slezak
    An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:815-824 [Conf]
  27. Dominik Slezak, Jakub Wroblewski
    Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:308-311 [Conf]
  28. Dominik Slezak, Wojciech Ziarko
    Variable Precision Bayesian Rough Set Model. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:312-315 [Conf]
  29. Hung Son Nguyen, Dominik Slezak
    Approximate Reducts and Association Rules - Correspondence and Complexity Results. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:137-145 [Conf]
  30. Sebastian Widz, Kenneth Revett, Dominik Slezak
    A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (2), 2005, pp:372-382 [Conf]
  31. Dominik Slezak
    Association Reducts: Boolean Representation. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:305-312 [Conf]
  32. Dominik Slezak, Jakub Wroblewski, Marcin S. Szczuka
    Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  33. Dominik Slezak, Wojciech Ziarko
    Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  34. Dominik Slezak
    Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2000, v:44, n:3, pp:291-319 [Journal]
  35. Dominik Slezak
    Approximate Entropy Reducts. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2002, v:53, n:3-4, pp:365-390 [Journal]
  36. Dominik Slezak, Wojciech Ziarko
    The investigation of the Bayesian rough set model. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:40, n:1-2, pp:81-91 [Journal]
  37. Aboul Ella Hassanien, Dominik Slezak
    Rough neural intelligent approach for image classification: A case of patients with suspected breast cancer. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:4, pp:205-218 [Journal]
  38. Alicja Gruzdz, Aleksandra Ihnatowicz, Dominik Slezak
    Interactive Gene Clustering-A Case Study of Breast Cancer Microarray Data. [Citation Graph (0, 0)][DBLP]
    Information Systems Frontiers, 2006, v:8, n:1, pp:21-27 [Journal]
  39. Alicja Wieczorkowska, Jakub Wroblewski, Piotr Synak, Dominik Slezak
    Application of Temporal Descriptors to Musical Instrument Sound Recognition. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2003, v:21, n:1, pp:71-93 [Journal]
  40. Dominik Slezak
    Rough Sets and Bayes Factor. [Citation Graph (0, 0)][DBLP]
    , 2005, v:, n:, pp:202-229 [Journal]
  41. Dominik Slezak, Marcin S. Szczuka
    Rough Neural Networks for Complex Concepts. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:574-582 [Conf]
  42. Dominik Slezak, Piotr Wasilewski
    Granular Sets - Foundations and Case Study of Tolerance Spaces. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:435-442 [Conf]
  43. Piotr Synak, Dominik Slezak
    Descriptors and Templates in Relational Information Systems. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:403-410 [Conf]
  44. Timothy Maciag, Daryl H. Hepting, Dominik Slezak, Robert J. Hilderman
    Mining Associations for Interface Design. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:109-117 [Conf]
  45. Dominik Slezak, Jakub Wroblewski
    Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:316-323 [Conf]

  46. Multi-Level Approaches for Data Mining and Data Processing: Two Examples. [Citation Graph (, )][DBLP]


  47. Rough Sets in Data Warehousing. [Citation Graph (, )][DBLP]


  48. Classification of Facial Photograph Sorting Performance Based on Verbal Descriptions. [Citation Graph (, )][DBLP]


  49. Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together? [Citation Graph (, )][DBLP]


  50. Rule Generation in Lipski's Incomplete Information Databases. [Citation Graph (, )][DBLP]


  51. Towards Approximate SQL - Infobright's Approach. [Citation Graph (, )][DBLP]


  52. Rough Set Year in India 2009. [Citation Graph (, )][DBLP]


  53. The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. [Citation Graph (, )][DBLP]


  54. A Rough Sets Approach for Personalized Support of Face Recognition. [Citation Graph (, )][DBLP]


  55. Feature Selection with Fuzzy Decision Reducts. [Citation Graph (, )][DBLP]


  56. Data warehouse technology by infobright. [Citation Graph (, )][DBLP]


  57. Infobright Analytic Database Engine Using Rough Sets and Granular Computing. [Citation Graph (, )][DBLP]


  58. Tolerance Based Templates for Information Systems: Foundations and Perspectives. [Citation Graph (, )][DBLP]


  59. Approximation Degrees in Decision Reduct-Based MRI Segmentation. [Citation Graph (, )][DBLP]


  60. Evaluation of a Dominance-Based Rough Set Approach to Interface Design. [Citation Graph (, )][DBLP]


  61. Rough Sets and Few-Objects-Many-Attributes Problem: The Case Study of Analysis of Gene Expression Data Sets. [Citation Graph (, )][DBLP]


  62. Intelligent Data Granulation on Load: Improving Infobright's Knowledge Grid. [Citation Graph (, )][DBLP]


Search in 0.015secs, Finished in 0.019secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002