General Information
NameProf. Amir Geva
DepartmentSchool of Electrical and Computer Engineering
Emailgeva@ee.bgu.ac.il
Personal Web SitePersonal Web Site
Academic RankAssociate Professor


Journal Articles

 
[1] Geva A., Cohen, H. Geva, A.B. Matar, M.A. Zohar, J. and Kaplan, Z. ” Posttraumatic stress behavioral responses in inbred mouse strains: Can genetic predisposition explain phenotypic vulnerability?,” International Journal of Neuropsychopharmacology, Page 1 of 19, 2007. , (2007).
[2] Kerem D., Geva A., Forecasting epilepsy from the heart rate signal, Med. Biol. Eng. Comput. (UK), 43, 2, 230 - 9, (2005).
[3] Geva A., Steinberg Y., Bruckmair S., Nahum G., A comparison of cluster validity criteria for a mixture of normal distributed data, Pattern Recognit. Lett. (Netherlands), 21, 6-7, 511 - 29, (2000).
[4] Geva A., On a periodic training sequence in DFE to reduce the steady-state error probability, IEEE Transactions on Communications, 47, 9, 1288-1292, (1999).
[5] Geva A., Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction, Pattern Recognit. Lett. (Netherlands), 20, 14, 1519 - 32, (1999).
[6] Geva A., Hierarchical unsupervised fuzzy clustering, IEEE Trans. Fuzzy Syst. (USA), 7, 6, 723 - 33, (1999).
[7] Geva A., Kerem D., Neurological signal characterization by fuzzy clustering of extracted features, Neuroscience Letters, S13-S13, (1998).
[8] Geva A., Kerem D., Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering, IEEE Trans. Biomed. Eng. (USA), 45, 10, 1205 - 16, (1998).
[9] Geva A., Bioelectric sources estimation using spatio-temporal matching pursuit, Appl. Signal Process. (UK), 5, 3, 195 - 208, (1998).
[10] Geva A., Feature extraction and state identification in biomedical signals using hierarchical fuzzy clustering, Medical & Biological Engineering & Computing, 36, 5, 608 - 614, (1998).
[11] Geva A., Pratt H., Zeevi Y.Y., Multichannel wavelet-type decomposition of evoked potentials: model-based recognition of generator activity, Medical & Biological Engineering & Computing, 35, 1, 40 - 46, (1997).
[12] Geva A., Pratt H., Zeevi Y.Y., Spatio-temporal multiple source localization by wavelet-type decomposition of evoked potentials, Electroencephalogr. Clin. Neurophysiol. Evoked Potentials (Ireland), 96, 3, 278 - 86, (1995).
[13] Gath I., Feuerstein C., Geva A., Unsupervised classification and adaptive definition of sleep patterns, Pattern Recognition Letters, 15, 10, 977 - 984, (1994).
[14] Pratt H., Mittelman N., Geva A., Machine scoring of somatosensory evoked potentials, Electroencephalogr. Clin. Neurophysiol. Evoked Potentials (Ireland), 92, 1, 89 - 92, (1994).
[15] Geva A., Pratt H., Unsupervised clustering of evoked potentials by waveform, Medical & Biological Engineering & Computing, 32, 5, 543 - 550, (1994).
[16] Gath I., Geva A., Unsupervised optimal fuzzy clustering, IEEE Trans. Pattern Anal. Mach. Intell. (USA), 11, 7, 773 - 80, (1989).

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Conference Proceedings

 
[1] Geva A., Goded Shahaf, Amir B. Geva, Noga Pinchuk, Guy Ben Bashat, Tali Fisher, Judith Aharon and Hillel Pratt, “Applying Novel Functional Brain Network Analysis for Profiling of ADHD Patients”, The 13th Meeting of The Israeli Society for Biological Psychiatry, HaGoshrim, Israel, March 2009, (2009).
[2] Geva A., Koresh O. Kozlovsky N. Kaplan Z. Zohar J. Matar M.A. Geva A. and Cohen H. “Effects of stress-exposure on circadian rhythms and circadian related-genes in an animal model of PTSD”, The 12th Meeting of The Israeli Society for Biological Psychiatry, Kfar Giladi, Israel, March 2008. (2008).
[3] Geva A., Rizi H. Cohen H. and Geva A. “Twenty-four-hour ambulatory analysis of ECG signal in chronic PTSD and non-PTSD veterans”, The 12th Meeting of The Israeli Society for Biological Psychiatry, Kfar Giladi, Israel, March 2008. (2008).
[4] Geva A., Shahaf, G. and Geva A.B. “Neurophysiological Network Flow Analysis”, 4th Tel Aviv Meeting on Human Brain Mapping, July 13-14, 2008, Tel Aviv, Israel. (2008).
[5] Geva A., Keren, A.S. Geva, A.B. and Deouell, L.Y. “MRI Platform for ERP Source Hypothesis Testing”, 3th Tel Aviv Meeting on Human Brain Mapping, July 8-9, 2007, Tel Aviv, Israel. (2007).
[6] Geva A., Keren, A.S. Geva, A.B. and Deouell, L.Y. “MRI Platform for ERP Source Hypothesis Testing”, 3th Tel Aviv Meeting on Human Brain Mapping, July 8-9, 2007, Tel Aviv, Israel. (2007).
[7] Geva A., Keren, A.S. Geva, A.B. and Deouell, L.Y. “ERP Source Estimation by MRI Constrained Linear Solutions”, 16th Annual Meeting of the Israel Society for Neuroscience, Neural Plasticity, November 25-27, 2007, Eilat, Israel. (2007).
[8] Geva A., Deouell Leon, Keren Alon, Keren, A.S. Geva, A.B. and Deouell, L.Y. “Dynamical Distributed Current Source Model for ERP Based on Anatomy and Connectivity”, 15th Annual Meeting of the Israel Society for Neuroscience, December 3-5, 2006, Eilat, Israel. 15th Annual Meeting of the Israel Society for Neuroscience, December 3-5, 2006, Eilat, Israel, (2006).
[9] Lin E., Noifeld M., Geva A., Human epileptic seizure prediction with fuzzy clustering of wavelet and polyspectra-based features of the EEG, 22nd Convention of Electrical and Electronics Engineers in Israel. Proceedings (Cat. No.02EX637),22nd Convention of Electrical and Electronics Engineers in Israel. Proceedings (Cat. No.02EX637), 136 -, (2002).
[10] Policker S., Geva A., Prediction of time varying composite sources by temporal fuzzy clustering, IEEE Workshop on Statistical Signal Processing Proceedings,Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563), 329 - 332, (2001).
[11] Castro B., Kogan D., Geva A., ECG feature extraction using optimal mother wavelet, 21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377),21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377), 346 - 50, (2000).
[12] Policker S., Geva A., A new algorithm for time series prediction by temporal fuzzy clustering, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000,Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 728 - 31, (2000).
[13] Geva A., Non-stationary time-series prediction using fuzzy clustering, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397),18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397), 413 - 17, (1999).
[14] Policker S., Geva A., A model for non-stationary time series analysis with clustering methods, Advances in Pattern Recognition. Joint IAPR International Workshops SSPR'98 and SPR'98. Proceedings,Advances in Pattern Recognition. Joint IAPR International Workshops SSPR'98 and SPR'98. Proceedings, 649 - 57, (1998).
[15] Policker S., Geva A., Non-stationary signal analysis using temporal clustering, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378),Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, 304 - 12, (1998).
[16] Geva A., Unsupervised hierarchical fuzzy clustering methods in forecasting medical events from biomedical signals, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics,1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation (Cat. No.97CH36088-5), 41 - 45, (1997).
[17] Geva A., Gath I., Decision making in electromyography using wavelet-type analysis and fuzzy clustering, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics,1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 276 - 279, (1996).
[18] Geva A., Peled A., Dynamic threshold neural network for modeling interference in a sequence of associative memories, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics,Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1309 - 1314, (1996).
[19] Geva A., Spatio-temporal matching pursuit (SToMP) for multiple source estimation of evoked potentials, Nineteenth Convention of Electrical and Electronics Engineers in Israel. Proceedings (Cat. No.96TH8190),Proceedings - IEEE Convention of Electrical & Electronics Engineers in Israel, 113 - 16, (1996).
[20] Geva A., Altman A., Scalenet - multiscale neural network architecture for time series prediction, Proceedings - IEEE Convention of Electrical & Electronics Engineers in Israel,Proceedings - IEEE Convention of Electrical & Electronics Engineers in Israel, 243 - 246, (1996).
[21] Shtram L., Policker S., Geva A., Effect of the temperature parameter on convergence in the Boltzmann machines, Proceedings - IEEE Convention of Electrical & Electronics Engineers in Israel,Proceedings - IEEE Convention of Electrical & Electronics Engineers in Israel, 200 - 203, (1996).

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Presentation

 
[1] Geva A., Geva, A.B. “Spatio-Temporal Pattern Recognition Techniques in Model Evaluation of Human Cerebral Functioning”, NYU, New York, October 2007. (2007).
[2] Geva A., Geva, A.B. “Functional Brain Imaging by Spatio-Temporal Pattern Recognition Methods”, Harvard, Boston, October 2007. (2007).

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Abstract

 
[1] Geva A., Goded Shahaf, Amir B. Geva, Noga Pinchuk, Guy Ben Bashat, Tali Fisher, Judith Aharon and Hillel Pratt, “Applying Novel Functional Brain Network Analysis for Profiling of ADHD Patients”, The 13th Meeting of The Israeli Society for Biological Psychiatry, HaGoshrim, Israel, March 2009, (2009).
[2] Geva A., Goded Shahaf, Amir B. Geva, Noga Pinchuk, Guy Ben Bashat, Tali Fisher, Judith Aharon and Hillel Pratt, “Applying Novel Functional Brain Network Analysis for Profiling of ADHD Patients”, The 13th Meeting of The Israeli Society for Biological Psychiatry, HaGoshrim, Israel, March 2009, (2009).
[3] Geva A., Goded Shahaf, Amir B. Geva, Noga Pinchuk, Guy Ben Bashat, Tali Fisher, Judith Aharon and Hillel Pratt, “Applying Novel Functional Brain Network Analysis for Profiling of ADHD Patients”, The 13th Meeting of The Israeli Society for Biological Psychiatry, HaGoshrim, Israel, March 2009, (2009).

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Poster

 
[1] Geva A., Keren Alon, Deouell Leon, Keren, A.S. Geva, A.B. and Deouell, L.Y. “MRI Platform for ERP Source Hypothesis Testing”, 3th Tel Aviv Meeting on Human Brain Mapping, July 8-9, 2007, Tel Aviv, Israel. (2007).

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