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János Abonyi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Agnes Vathy-Fogarassy, Attila Kiss, János Abonyi
    Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    FoIKS, 2006, pp:313-330 [Conf]
  2. János Abonyi, Johannes A. Roubos, Marcel Oosterom, Ferenc Szeifert
    Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:1420-1423 [Conf]
  3. Balazs Balasko, Janos Madar, János Abonyi
    Additive Sequential Evolutionary Design of Experiments. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:324-333 [Conf]
  4. Balazs Feil, János Abonyi, Peter Pach, Sandor Z. Németh, Peter Arva, Miklos Nemeth, Gabor Nagy
    Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:1111-1117 [Conf]
  5. János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva
    Fuzzy Clustering Based Segmentation of Time-Series. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:275-285 [Conf]
  6. Janos Madar, János Abonyi, Ferenc Szeifert
    Interactive Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    ISDA, 2005, pp:314-319 [Conf]
  7. János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva, Robert Babuska
    State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    SMC (3), 2004, pp:2374-2380 [Conf]
  8. János Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva
    Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:149, n:1, pp:39-56 [Journal]
  9. János Abonyi, Lajos Nagy, Ferenc Szeifert
    Fuzzy model-based predictive control by instantaneous linearization. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:120, n:1, pp:109-122 [Journal]
  10. János Abonyi, Johannes A. Roubos, Ferenc Szeifert
    Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:1, pp:1-21 [Journal]
  11. János Abonyi, Balazs Feil, Ajith Abraham
    Computational Intelligence in Data Mining. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2005, v:29, n:1, pp:3-12 [Journal]
  12. Johannes A. Roubos, Magne Setnes, János Abonyi
    Learning fuzzy classification rules from labeled data. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:150, n:1-2, pp:77-93 [Journal]
  13. János Abonyi, Ferenc Szeifert
    Supervised fuzzy clustering for the identification of fuzzy classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:14, pp:2195-2207 [Journal]
  14. Balazs Feil, Balazs Balasko, János Abonyi
    Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:479-488 [Journal]
  15. Stanimir Mollov, Robert Babuska, János Abonyi, Henk B. Verbruggen
    Effective optimization for fuzzy model predictive control. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:5, pp:661-675 [Journal]
  16. János Abonyi, Robert Babuska, Ferenc Szeifert
    Fuzzy modeling with multivariate membership functions: gray-box identification and control design. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:5, pp:755-767 [Journal]
  17. János Abonyi, Robert Babuska, Ferenc Szeifert
    Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:5, pp:612-621 [Journal]
  18. Peter Pach, Balazs Feil, Sandor Z. Németh, Peter Arva, János Abonyi
    Process-Data-Warehousing-Based Operator Support System for Complex Production Technologies. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2006, v:36, n:1, pp:136-153 [Journal]
  19. Tamas Kenesei, Balazs Feil, János Abonyi
    Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:179-186 [Conf]
  20. Agnes Vathy-Fogarassy, Attila Kiss, János Abonyi
    Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:195-202 [Conf]

  21. Visualization of Topology Representing Networks. [Citation Graph (, )][DBLP]


  22. A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. [Citation Graph (, )][DBLP]


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