Faramarz Valafar

Faramarz Valafar, Homayoun Valafar, Saeid Roushanzamir, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Distributed global optimization (DGO)

Faramarz Valafar, Homayoun Valafar, O. K. Ersoy, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism

Ralph-Axel Müller, Faramarz Valafar, Barbara A Bailey, 2019, Brain Connect..

PNS modules for the synthesis of parallel self-organizing hierarchical neural networks

Faramarz Valafar, Okan K. Ersoy, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Bioinformatic analyses of mammalian 5'-UTR sequence properties of mRNAs predicts alternative translation initiation sites

Jill L. Wegrzyn, Faramarz Valafar, Vivian Hook, 2008, BMC Bioinformatics.

Identification of H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation

Faramarz Valafar, William S. York, Homayoun Valafar, 2020, IC-AI.

CCRC-Net: an Internet-based spectral database for complex carbohydrates using artificial neural networks search engines

Faramarz Valafar, Homayoun Valafar, 1999 .

Grouping of Partially Methylated Alditol Acetates from GC-EIMS Spectra Using Principal Component Analysis, Non-Parametric Density Estimation and K-Nearest Neighbor Classification

Faramarz Valafar, I. Arora, 2003, METMBS.

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS '04, June 21-24, 2004, Las Vegas, Nevada, USA

Faramarz Valafar, Homayoun Valafar, F. Valafar, 2004, International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes.

A Comparative Study of Artificial Neural Networks Using Reinforcement Learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates on the World Wide Web

Faramarz Valafar, Homayoun Valafar, 1999, IC-AI.

VSTM: Virtual Stress Testing Machine

Faramarz Valafar, R. Harris, A. M. Ausin, 2004, PDPTA.

Parallel, self organizing, consensus neural networks

Faramarz Valafar, Okan K. Ersoy, Homayoun Valafar, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

PARAL LEL, PROBABILISTIC, SELF- ORGANIZING, HIERAR CHICAL NEURAL NETWORKS

Faramarz Valafar, Okan K. Ersoy, 1994 .

Techniques in bioinformatics and medical informatics

Faramarz Valafar, 2002 .

A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates pdf

Faramarz Valafar, Homayoun Valafar, 2020, ArXiv.

Proceedings of The 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS 2005, Las Vegas, Nevada, USA, June 20-23, 2005

Faramarz Valafar, Homayoun Valafar, 2005, METMBS.

Prediction of Sickle Cell Anemia Patient's Response to Hydroxyurea Treatment Using ARTMAP Network

Faramarz Valafar, Hongyu Xu, Marko Vuskovic, 2003, METMBS.

Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients

John Hardin, Faramarz Valafar, Homayoun Valafar, 2000, Artif. Intell. Medicine.