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2020 – today
- 2024
[j20]Hezi Roda, Amir B. Geva:
Semi-supervised active learning using convolutional auto- encoder and contrastive learning. Frontiers Artif. Intell. 7 (2024)- 2023
- [j19]Yonatan Meir
, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva:
Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System. Sensors 23(9): 4272 (2023) - 2020
- [j18]Eitan Netzer, Amir B. Geva:
Human-in-the-loop active learning via brain computer interface. Ann. Math. Artif. Intell. 88(11): 1191-1205 (2020) - [c4]Eyal Zakkay, Amjad Abu-Rmileh, Amir B. Geva, Oren Shriki:
Asynchronous Brain Computer Interfaces Using Echo State Networks. IJCNN 2020: 1-8
2010 – 2019
- 2017
- [j17]Dror Haor, Reuven Shavit, Moshe Shapiro, Amir B. Geva:
Back-Projection Cortical Potential Imaging: Theory and Results. IEEE Trans. Medical Imaging 36(7): 1583-1595 (2017) - 2016
- [j16]Ran Manor, Liran Mishali, Amir B. Geva:
Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface. Frontiers Comput. Neurosci. 10: 130 (2016) - [j15]Yaki Stern, Amit Reches, Amir B. Geva:
Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. Frontiers Comput. Neurosci. 10: 137 (2016) - 2015
- [j14]Ran Manor, Amir B. Geva:
Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI. Frontiers Comput. Neurosci. 9: 146 (2015) - 2014
- [j13]Amit Reches, I. Laufer, K. Ziv, G. Cukierman, Kevin McEvoy, M. Ettinger, Robert T. Knight, Adam Gazzaley, Amir B. Geva:
Network dynamics predict improvement in working memory performance following donepezil administration in healthy young adults. NeuroImage 88: 228-241 (2014) - [j12]Galit Fuhrmann Alpert, Ran Manor, Assaf B. Spanier, Leon Y. Deouell, Amir B. Geva:
Spatiotemporal Representations of Rapid Visual Target Detection: A Single-Trial EEG Classification Algorithm. IEEE Trans. Biomed. Eng. 61(8): 2290-2303 (2014) - [c3]Hagai Aronowitz, Min Li, Orith Toledo-Ronen, Sivan Harary, Amir B. Geva, Shay Ben-David, Asaf Rendel, Ron Hoory, Nalini K. Ratha, Sharath Pankanti, David Nahamoo:
Multi-modal biometrics for mobile authentication. IJCB 2014: 1-8 - 2012
- [j11]Sergey Vaisman, Shimrit Yaniv Salem, Gershon Holcberg, Amir B. Geva:
Passive fetal monitoring by adaptive wavelet denoising method. Comput. Biol. Medicine 42(2): 171-179 (2012)
2000 – 2009
- 2005
- [j10]Dan H. Kerem, Amir B. Geva:
Forecasting epilepsy from the heart rate signal. Medical Biol. Eng. Comput. 43(2): 230-239 (2005) - 2003
- [j9]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 J. Res. Dev. 47(2-3): 299-326 (2003) - 2000
- [j8]Amir B. Geva, Yossef Steinberg, Shay Bruckmair, Gerry Nahum:
A comparison of cluster validity criteria for a mixture of normal distributed data. Pattern Recognit. Lett. 21(6-7): 511-529 (2000) - [j7]Shai Policker, Amir B. Geva:
Nonstationary time series analysis by temporal clustering. IEEE Trans. Syst. Man Cybern. Part B 30(2): 339-343 (2000) - [c2]Shai Policker, Amir B. Geva:
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering. ICPR 2000: 2728-2731
1990 – 1999
- 1999
- [j6]Amir B. Geva:
Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction. Pattern Recognit. Lett. 20(14): 1519-1532 (1999) - [j5]Amir B. Geva:
Hierarchical unsupervised fuzzy clustering. IEEE Trans. Fuzzy Syst. 7(6): 723-733 (1999) - 1998
- [j4]Amir B. Geva:
ScaleNet-multiscale neural-network architecture for time series prediction. IEEE Trans. Neural Networks 9(6): 1471-1482 (1998) - [c1]Shai Policker, Amir B. Geva:
A Model for Non-stationary Time Series Analysis with Clustering Methods. SSPR/SPR 1998: 649-657 - 1994
- [j3]Isak Gath, Claude Feuerstein, Amir B. Geva:
Unsupervised classification and adaptive definition of sleep patterns. Pattern Recognit. Lett. 15(10): 977-984 (1994)
1980 – 1989
- 1989
- [j2]Isak Gath, Amir B. Geva:
Unsupervised Optimal Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 11(7): 773-780 (1989) - [j1]Isak Gath, Amir B. Geva:
Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions. Pattern Recognit. Lett. 9(2): 77-86 (1989)
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