Unsupervised Optimal Fuzzy Clustering. - Isak Gath; Amir B. Geva (IEEE Trans. Pattern Anal. Mach. Intell., 1989)

Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions. - Isak Gath; Amir B. Geva (Pattern Recognit. Lett., 1989)

Unsupervised classification and adaptive definition of sleep patterns. - Isak Gath; Claude Feuerstein; Amir B. Geva (Pattern Recognit. Lett., 1994)

A Model for Non-stationary Time Series Analysis with Clustering Methods. - Shai Policker; Amir B. Geva (SSPR/SPR, 1998)

Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering. - Amir B. Geva; Dan H. Kerem (IEEE Trans. Biomed. Eng., 1998)

ScaleNet-multiscale neural-network architecture for time series prediction. - Amir B. Geva (IEEE Trans. Neural Networks, 1998)

Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction. - Amir B. Geva (Pattern Recognit. Lett., 1999)

Hierarchical unsupervised fuzzy clustering. - Amir B. Geva (IEEE Trans. Fuzzy Syst., 1999)

A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering. - Shai Policker; Amir B. Geva (ICPR, 2000)

A comparison of cluster validity criteria for a mixture of normal distributed data. - Amir B. Geva; Yossef Steinberg; Shay Bruckmair; Gerry Nahum (Pattern Recognit. Lett., 2000)

Nonstationary time series analysis by temporal clustering. - Shai Policker; Amir B. Geva (IEEE Trans. Syst. Man Cybern. Part B, 2000)

An innovative low-power high-performance programmable signal processor for digital communications. - 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; et al. (IBM J. Res. Dev., 2003)

Forecasting epilepsy from the heart rate signal. - Dan H. Kerem; Amir B. Geva (Medical Biol. Eng. Comput., 2005)

Passive fetal monitoring by adaptive wavelet denoising method. - Sergey Vaisman; Shimrit Yaniv Salem; Gershon Holcberg; Amir B. Geva (Comput. Biol. Medicine, 2012)

Multi-modal biometrics for mobile authentication. - 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 (IJCB, 2014)

Network dynamics predict improvement in working memory performance following donepezil administration in healthy young adults. - Amit Reches; I. Laufer; K. Ziv; G. Cukierman; Kevin McEvoy; M. Ettinger; Robert T. Knight; Adam Gazzaley; Amir B. Geva (NeuroImage, 2014)

Spatiotemporal Representations of Rapid Visual Target Detection: A Single-Trial EEG Classification Algorithm. - Galit Fuhrmann Alpert; Ran Manor; Assaf B. Spanier; Leon Y. Deouell; Amir B. Geva (IEEE Trans. Biomed. Eng., 2014)

Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI. - Ran Manor; Amir B. Geva (Frontiers Comput. Neurosci., 2015)

Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface. - Ran Manor; Liran Mishali; Amir B. Geva (Frontiers Comput. Neurosci., 2016)

Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. - Yaki Stern; Amit Reches; Amir B. Geva (Frontiers Comput. Neurosci., 2016)

Back-Projection Cortical Potential Imaging: Theory and Results. - Dror Haor; Reuven Shavit; Moshe Shapiro; Amir B. Geva (IEEE Trans. Medical Imaging, 2017)

Asynchronous Brain Computer Interfaces Using Echo State Networks. - Eyal Zakkay; Amjad Abu-Rmileh; Amir B. Geva; Oren Shriki (IJCNN, 2020)

Human-in-the-loop active learning via brain computer interface. - Eitan Netzer; Amir B. Geva (Ann. Math. Artif. Intell., 2020)

Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System. - Yonatan Meir; Jayme Garcia Arnal Barbedo; Omri Keren; Cláudia Vieira Godoy; Nofar Amedi; Yaar Shalom; Amir B. Geva (Sensors, 2023)

Semi-supervised active learning using convolutional auto- encoder and contrastive learning. - Hezi Roda; Amir B. Geva (Frontiers Artif. Intell., 2024)