Amir B. Geva

25 papers B 3Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Semi-supervised active learning using convolutional auto- encoder and contrastive learning.
Frontiers Artif. Intell.
Hezi Roda, Amir B. Geva
2023 J jnl
Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System.
Sensors
Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva
2020 B conf
Asynchronous Brain Computer Interfaces Using Echo State Networks.
IJCNN
Eyal Zakkay, Amjad Abu-Rmileh, Amir B. Geva, Oren Shriki
2020 J jnl
Human-in-the-loop active learning via brain computer interface.
Ann. Math. Artif. Intell.
Eitan Netzer, Amir B. Geva
2017 J jnl
Back-Projection Cortical Potential Imaging: Theory and Results.
IEEE Trans. Medical Imaging
Dror Haor, Reuven Shavit, Moshe Shapiro, Amir B. Geva
2016 J jnl
Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification.
Frontiers Comput. Neurosci.
Yaki Stern, Amit Reches, Amir B. Geva
2016 J jnl
Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface.
Frontiers Comput. Neurosci.
Ran Manor, Liran Mishali, Amir B. Geva
2015 J jnl
Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI.
Frontiers Comput. Neurosci.
Ran Manor, Amir B. Geva
2014 B conf
Multi-modal biometrics for mobile authentication.
IJCB
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
2014 J jnl
Network dynamics predict improvement in working memory performance following donepezil administration in healthy young adults.
NeuroImage
Amit Reches, I. Laufer, K. Ziv, G. Cukierman, Kevin McEvoy, M. Ettinger, Robert T. Knight, Adam Gazzaley, Amir B. Geva
2014 J jnl
Spatiotemporal Representations of Rapid Visual Target Detection: A Single-Trial EEG Classification Algorithm.
IEEE Trans. Biomed. Eng.
Galit Fuhrmann Alpert, Ran Manor, Assaf B. Spanier, Leon Y. Deouell, Amir B. Geva
2012 J jnl
Passive fetal monitoring by adaptive wavelet denoising method.
Comput. Biol. Medicine
Sergey Vaisman, Shimrit Yaniv Salem, Gershon Holcberg, Amir B. Geva
2005 J jnl
Forecasting epilepsy from the heart rate signal.
Medical Biol. Eng. Comput.
Dan H. Kerem, Amir B. Geva
2003 J jnl
An innovative low-power high-performance programmable signal processor for digital communications.
IBM J. Res. Dev.
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
2000 B conf
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering.
ICPR
Shai Policker, Amir B. Geva
2000 J jnl
A comparison of cluster validity criteria for a mixture of normal distributed data.
Pattern Recognit. Lett.
Amir B. Geva, Yossef Steinberg, Shay Bruckmair, Gerry Nahum
2000 J jnl
Nonstationary time series analysis by temporal clustering.
IEEE Trans. Syst. Man Cybern. Part B
Shai Policker, Amir B. Geva
1999 J jnl
Hierarchical unsupervised fuzzy clustering.
IEEE Trans. Fuzzy Syst.
Amir B. Geva
1999 J jnl
Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction.
Pattern Recognit. Lett.
Amir B. Geva
1998 — conf
A Model for Non-stationary Time Series Analysis with Clustering Methods.
SSPR/SPR
Shai Policker, Amir B. Geva
1998 J jnl
Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering.
IEEE Trans. Biomed. Eng.
Amir B. Geva, Dan H. Kerem
1998 J jnl
ScaleNet-multiscale neural-network architecture for time series prediction.
IEEE Trans. Neural Networks
Amir B. Geva
1994 J jnl
Unsupervised classification and adaptive definition of sleep patterns.
Pattern Recognit. Lett.
Isak Gath, Claude Feuerstein, Amir B. Geva
1989 J jnl
Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions.
Pattern Recognit. Lett.
Isak Gath, Amir B. Geva
1989 J jnl
Unsupervised Optimal Fuzzy Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Isak Gath, Amir B. Geva