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János Abonyi

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2008
26EEFerenc Peter Pach, Attila Gyenesei, János Abonyi: Compact fuzzy association rule-based classifier. Expert Syst. Appl. 34(4): 2406-2416 (2008)
25EEFerenc Peter Pach, Attila Gyenesei, János Abonyi: MOSSFARM: Model structure selection by fuzzy association rule mining. Journal of Intelligent and Fuzzy Systems 19(6): 399-407 (2008)
24EEAgnes Vathy-Fogarassy, Attila Kiss, János Abonyi: Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. Transactions on Computational Science 1: 61-84 (2008)
2007
23EETamas Kenesei, Johannes A. Roubos, János Abonyi: A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines. IDEAL 2007: 477-486
22EEAgnes Vathy-Fogarassy, Agnes Werner-Stark, Balázs Gaál, János Abonyi: Visualization of Topology Representing Networks. IDEAL 2007: 557-566
21EETamas Kenesei, Balazs Feil, János Abonyi: Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees. WILF 2007: 179-186
20EEAgnes Vathy-Fogarassy, Attila Kiss, János Abonyi: Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. WILF 2007: 195-202
19EEBalazs Feil, Balazs Balasko, János Abonyi: Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories. Soft Comput. 11(5): 479-488 (2007)
2006
18EEAgnes Vathy-Fogarassy, Attila Kiss, János Abonyi: Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. FoIKS 2006: 313-330
17EEBalazs Balasko, Janos Madar, János Abonyi: Additive Sequential Evolutionary Design of Experiments. ICAISC 2006: 324-333
16EEPeter Pach, Balazs Feil, Sandor Z. Németh, Peter Arva, János Abonyi: Process-Data-Warehousing-Based Operator Support System for Complex Production Technologies. IEEE Transactions on Systems, Man, and Cybernetics, Part A 36(1): 136-153 (2006)
2005
15EEJanos Madar, János Abonyi, Ferenc Szeifert: Interactive Particle Swarm Optimization. ISDA 2005: 314-319
14EEJános Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva: Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series. Fuzzy Sets and Systems 149(1): 39-56 (2005)
13EEJános Abonyi, Balazs Feil, Ajith Abraham: Computational Intelligence in Data Mining. Informatica (Slovenia) 29(1): 3-12 (2005)
2004
12EEBalazs 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. ICAISC 2004: 1111-1117
11EEJános Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva, Robert Babuska: State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. SMC (3) 2004: 2374-2380
10EEStanimir Mollov, Robert Babuska, János Abonyi, Henk B. Verbruggen: Effective optimization for fuzzy model predictive control. IEEE T. Fuzzy Systems 12(5): 661-675 (2004)
2003
9EEJános Abonyi, Balazs Feil, Sandor Z. Németh, Peter Arva: Fuzzy Clustering Based Segmentation of Time-Series. IDA 2003: 275-285
8EEJohannes A. Roubos, Magne Setnes, János Abonyi: Learning fuzzy classification rules from labeled data. Inf. Sci. 150(1-2): 77-93 (2003)
7EEJános Abonyi, Johannes A. Roubos, Ferenc Szeifert: Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. Int. J. Approx. Reasoning 32(1): 1-21 (2003)
6EEJános Abonyi, Ferenc Szeifert: Supervised fuzzy clustering for the identification of fuzzy classifiers. Pattern Recognition Letters 24(14): 2195-2207 (2003)
2002
5 János Abonyi, Robert Babuska, Ferenc Szeifert: Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 612-621 (2002)
2001
4 János Abonyi, Johannes A. Roubos, Marcel Oosterom, Ferenc Szeifert: Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction. FUZZ-IEEE 2001: 1420-1423
3EEJános Abonyi, Lajos Nagy, Ferenc Szeifert: Fuzzy model-based predictive control by instantaneous linearization. Fuzzy Sets and Systems 120(1): 109-122 (2001)
2 János Abonyi, Robert Babuska, Ferenc Szeifert: Fuzzy modeling with multivariate membership functions: gray-box identification and control design. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(5): 755-767 (2001)
2000
1EEJános Abonyi, Robert Babuska, Henk B. Verbruggen, Ferenc Szeifert: Incorporating prior knowledge in fuzzy model identification. Int. J. System Science 31(5): 657-667 (2000)

Coauthor Index

1Ajith Abraham [13]
2Peter Arva [9] [11] [12] [14] [16]
3Robert Babuska [1] [2] [5] [10] [11]
4Balazs Balasko [17] [19]
5Balazs Feil [9] [11] [12] [13] [14] [16] [19] [21]
6Balázs Gaál [22]
7Attila Gyenesei [25] [26]
8Tamas Kenesei [21] [23]
9Attila Kiss [18] [20] [24]
10Janos Madar [15] [17]
11Stanimir Mollov [10]
12Gabor Nagy [12]
13Lajos Nagy [3]
14Miklos Nemeth [12]
15Sandor Z. Németh [9] [11] [12] [14] [16]
16Marcel Oosterom [4]
17Ferenc Peter Pach [25] [26]
18Peter Pach [12] [16]
19Johannes A. Roubos [4] [7] [8] [23]
20Magne Setnes [8]
21Ferenc Szeifert [1] [2] [3] [4] [5] [6] [7] [15]
22Agnes Vathy-Fogarassy [18] [20] [22] [24]
23Henk B. Verbruggen [1] [10]
24Agnes Werner-Stark [22]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)