Balazs Feil - RankMe

12 papers B 2Misc 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2011	J	`jnl`	The identification of model effective dimensions using global sensitivity analysis. Reliab. Eng. Syst. Saf. Sergei S. Kucherenko, Balazs Feil, Nilay Shah, Wolfgang Mauntz
2008	—	`ch.`	Introduction to Fuzzy Data Mining Methods. Handbook of Research on Fuzzy Information Processing in Databases Balazs Feil, János Abonyi
2007	—	`conf`	Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees. WILF Tamás Kenesei, Balazs Feil, János Abonyi
2007	J	`jnl`	Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories. Soft Comput. Balazs Feil, Balazs Balasko, János Abonyi
2006	J	`jnl`	Process-Data-Warehousing-Based Operator Support System for Complex Production Technologies. IEEE Trans. Syst. Man Cybern. Part A Peter Pach, Balazs Feil, Sándor Zoltán Németh, Peter Arva, János Abonyi
2005	J	`jnl`	Computational Intelligence in Data Mining. Informatica (Slovenia) János Abonyi, Balazs Feil, Ajith Abraham
2005	J	`jnl`	Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series. Fuzzy Sets Syst. János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva
2005	J	`jnl`	Monitoring process transitions by Kalman filtering and time-series segmentation. Comput. Chem. Eng. Balazs Feil, János Abonyi, Sándor Zoltán Németh, Peter Arva
2004	Misc	`conf`	Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction. ICAISC Balazs Feil, János Abonyi, Peter Pach, Sándor Zoltán Németh, Peter Arva, Miklos Nemeth, Gabor Nagy
2004	—	`conf`	State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. SMC (3) János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva, Robert Babuska
2003	B	`conf`	Fuzzy Clustering Based Segmentation of Time-Series. IDA János Abonyi, Balazs Feil, Sándor Zoltán Németh, Peter Arva
2003	B	`conf`	Structure selection for nonlinear input-output models based on fuzzy cluster analysis. FUZZ-IEEE János Abonyi, Robert Babugkao, Balazs Feil

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz