2003 |
9 | EE | Jaime H. Moreno,
Victor V. Zyuban,
Uzi Shvadron,
Fredy D. Neeser,
Jeff H. Derby,
Malcolm S. Ware,
Krishnan Kailas,
Ayal Zaks,
Amir B. Geva,
Shay Ben-David,
Sameh W. Asaad,
Thomas W. Fox,
Daniel Littrell,
Marina Biberstein,
Dorit Naishlos,
Hillery C. Hunter:
An innovative low-power high-performance programmable signal processor for digital communications.
IBM Journal of Research and Development 47(2-3): 299-326 (2003) |
2000 |
8 | EE | Shai Policker,
Amir B. Geva:
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering.
ICPR 2000: 2728-2731 |
7 | | Shai Policker,
Amir B. Geva:
Nonstationary time series analysis by temporal clustering.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(2): 339-343 (2000) |
6 | EE | Amir B. Geva,
Yossef Steinberg,
Shay Bruckmair,
Gerry Nahum:
A comparison of cluster validity criteria for a mixture of normal distributed data.
Pattern Recognition Letters 21(6-7): 511-529 (2000) |
1999 |
5 | EE | Amir B. Geva:
Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction.
Pattern Recognition Letters 20(14): 1519-1532 (1999) |
1998 |
4 | | Shai Policker,
Amir B. Geva:
A Model for Non-stationary Time Series Analysis with Clustering Methods.
SSPR/SPR 1998: 649-657 |
3 | EE | Amir B. Geva:
ScaleNet-multiscale neural-network architecture for time series prediction.
IEEE Transactions on Neural Networks 9(6): 1471-1482 (1998) |
1994 |
2 | EE | Isak Gath,
C. Feuerstein,
Amir B. Geva:
Unsupervised classification and adaptive definition of sleep patterns.
Pattern Recognition Letters 15(10): 977-984 (1994) |
1989 |
1 | EE | Isak Gath,
Amir B. Geva:
Unsupervised Optimal Fuzzy Clustering.
IEEE Trans. Pattern Anal. Mach. Intell. 11(7): 773-780 (1989) |