2008 |
26 | EE | Ferenc Peter Pach,
Attila Gyenesei,
János Abonyi:
Compact fuzzy association rule-based classifier.
Expert Syst. Appl. 34(4): 2406-2416 (2008) |
25 | EE | Ferenc 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) |
24 | EE | Agnes 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 |
23 | EE | Tamas 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 |
22 | EE | Agnes Vathy-Fogarassy,
Agnes Werner-Stark,
Balázs Gaál,
János Abonyi:
Visualization of Topology Representing Networks.
IDEAL 2007: 557-566 |
21 | EE | Tamas Kenesei,
Balazs Feil,
János Abonyi:
Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees.
WILF 2007: 179-186 |
20 | EE | Agnes Vathy-Fogarassy,
Attila Kiss,
János Abonyi:
Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity.
WILF 2007: 195-202 |
19 | EE | Balazs 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 |
18 | EE | Agnes Vathy-Fogarassy,
Attila Kiss,
János Abonyi:
Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm.
FoIKS 2006: 313-330 |
17 | EE | Balazs Balasko,
Janos Madar,
János Abonyi:
Additive Sequential Evolutionary Design of Experiments.
ICAISC 2006: 324-333 |
16 | EE | Peter 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 |
15 | EE | Janos Madar,
János Abonyi,
Ferenc Szeifert:
Interactive Particle Swarm Optimization.
ISDA 2005: 314-319 |
14 | EE | János 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) |
13 | EE | János Abonyi,
Balazs Feil,
Ajith Abraham:
Computational Intelligence in Data Mining.
Informatica (Slovenia) 29(1): 3-12 (2005) |
2004 |
12 | EE | 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.
ICAISC 2004: 1111-1117 |
11 | EE | János 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 |
10 | EE | Stanimir 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 |
9 | EE | János Abonyi,
Balazs Feil,
Sandor Z. Németh,
Peter Arva:
Fuzzy Clustering Based Segmentation of Time-Series.
IDA 2003: 275-285 |
8 | EE | Johannes A. Roubos,
Magne Setnes,
János Abonyi:
Learning fuzzy classification rules from labeled data.
Inf. Sci. 150(1-2): 77-93 (2003) |
7 | EE | János 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) |
6 | EE | János 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 |
3 | EE | János 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 |
1 | EE | János Abonyi,
Robert Babuska,
Henk B. Verbruggen,
Ferenc Szeifert:
Incorporating prior knowledge in fuzzy model identification.
Int. J. System Science 31(5): 657-667 (2000) |