Amir B. Geva

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 8

Top Topics

Spatiotemporal Features

Active Learning

Top Venues

Frontiers Comput. Neurosci.

Ann. Math. Artif. Intell.

Publications

Hezi Roda, Amir B. Geva
Semi-supervised active learning using convolutional auto- encoder and contrastive learning. Frontiers Artif. Intell. 7 (2024)
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) (2023)
Eitan Netzer, Amir B. Geva
Human-in-the-loop active learning via brain computer interface. Ann. Math. Artif. Intell. 88 (11) (2020)
Eyal Zakkay, Amjad Abu-Rmileh, Amir B. Geva, Oren Shriki
Asynchronous Brain Computer Interfaces Using Echo State Networks. IJCNN (2020)
Dror Haor, Reuven Shavit, Moshe Shapiro, Amir B. Geva
Back-Projection Cortical Potential Imaging: Theory and Results. IEEE Trans. Medical Imaging 36 (7) (2017)
Yaki Stern, Amit Reches, Amir B. Geva
Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. Frontiers Comput. Neurosci. 10 (2016)
Ran Manor, Liran Mishali, Amir B. Geva
Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface. Frontiers Comput. Neurosci. 10 (2016)
Ran Manor, Amir B. Geva
Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI. Frontiers Comput. Neurosci. 9 (2015)
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) (2014)
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 (2014)
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)
Sergey Vaisman, Shimrit Yaniv Salem, Gershon Holcberg, Amir B. Geva
Passive fetal monitoring by adaptive wavelet denoising method. Comput. Biol. Medicine 42 (2) (2012)
D. H. Kerem, Amir B. Geva
Forecasting epilepsy from the heart rate signal. Medical Biol. Eng. Comput. 43 (2) (2005)
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) (2003)
Shai Policker, Amir B. Geva
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering. ICPR (2000)
Shai Policker, Amir B. Geva
Nonstationary time series analysis by temporal clustering. IEEE Trans. Syst. Man Cybern. Part B 30 (2) (2000)
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) (2000)
Amir B. Geva
Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction. Pattern Recognit. Lett. 20 (14) (1999)
Amir B. Geva
Hierarchical unsupervised fuzzy clustering. IEEE Trans. Fuzzy Syst. 7 (6) (1999)
Shai Policker, Amir B. Geva
A Model for Non-stationary Time Series Analysis with Clustering Methods. SSPR/SPR (1998)
Amir B. Geva
ScaleNet-multiscale neural-network architecture for time series prediction. IEEE Trans. Neural Networks 9 (6) (1998)
Isak Gath, C. Feuerstein, Amir B. Geva
Unsupervised classification and adaptive definition of sleep patterns. Pattern Recognit. Lett. 15 (10) (1994)
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) (1989)
Isak Gath, Amir B. Geva
Unsupervised Optimal Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 11 (7) (1989)