Amir B. Geva

Sergey Vaisman, Shimrit Yaniv Salem, Gershon Holcberg, Amir B. Geva: Passive fetal monitoring by adaptive wavelet denoising method. Comp. in Bio. and Med. 42(2): 171-179 (2012)

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)

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)

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)

Shai Policker, Amir B. Geva: A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering. ICPR 2000: 2728-2731

Amir B. Geva: Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction. Pattern Recognition Letters 20(14): 1519-1532 (1999)

Amir B. Geva: Hierarchical unsupervised fuzzy clustering. IEEE T. Fuzzy Systems 7(6): 723-733 (1999)

Amir B. Geva: ScaleNet-multiscale neural-network architecture for time series prediction. IEEE Transactions on Neural Networks 9(6): 1471-1482 (1998)

Shai Policker, Amir B. Geva: A Model for Non-stationary Time Series Analysis with Clustering Methods. SSPR/SPR 1998: 649-657

Isak Gath, C. Feuerstein, Amir B. Geva: Unsupervised classification and adaptive definition of sleep patterns. Pattern Recognition Letters 15(10): 977-984 (1994)

Isak Gath, Amir B. Geva: Unsupervised Optimal Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 11(7): 773-780 (1989)