Comparative studies of two neural network architectures for modeling of human speech production. - Faramarz Valafar; Homayoun Valafar; Okan K. Ersoy; Richard G. Schwartz (ICNN, 1995)

Distributed global optimization (DGO). - Homayoun Valafar; Okan K. Ersoy; Faramarz Valafar (ICNN, 1996)

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 (IC-AI, 1999)

Identification of H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation. - Faramarz Valafar; Homayoun Valafar; William S. York (IC-AI, 1999)

A comparative study of linear and quadratic discriminant classifier techniques for variable selection: a case study in predicting the effectiveness of hydroxyurea treatment of sickle cell anemia. - Saeid Roushanzamir; Homayoun Valafar; Faramarz Valafar (IJCNN, 1999)

Prediction of a patient's response to a specific drug treatment using artificial neural networks. - Homayoun Valafar; Faramarz Valafar (IJCNN, 1999)

Parallel, self organizing, consensus neural networks. - Homayoun Valafar; Faramarz Valafar; Okan K. Ersoy (IJCNN, 1999)

Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients. - Homayoun Valafar; Faramarz Valafar; Alan Darvill; Peter Albersheim; Abdullah Kutlar; Kristy F. Woods; John Hardin (Artif. Intell. Medicine, 2000)

Data mining and knowledge discovery in proton nuclear magnetic resonance (1H-NMR) spectra using frequency to information transformation (FIT). - Homayoun Valafar; Faramarz Valafar (Knowl. Based Syst., 2002)

Rapid classification of a protein fold family using a statistical analysis of dipolar couplings. - Homayoun Valafar; James H. Prestegard (Bioinform., 2003)

Residual Dipolar Couplings in High Throughput Backbone Solution Structure Determination of Proteins. - Homayoun Valafar; Kristen L. Mayer; Peter D. LeBlond; Catherine Bougault; James H. Prestegard (METMBS, 2004)

Distributed Global Optimization and its Development on the MultiRing Network. - Homayoun Valafar; Hamid R. Arabnia; Gita C. Williams (Neural Parallel Sci. Comput., 2004)

TALI: Protein Structure Alignment Using Backbone Torsion Angles. - Xijiang Miao; Michael Bryson; Homayoun Valafar (BIOCOMP, 2006)

Process of Efficiently Parallelizing a Protein Structure Determination Algorithm. - Michael Bryson; Xijiang Miao; Homayoun Valafar (PDPTA, 2006)

Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data. - Rishi Mukhopadhyay; Paul Shealy; Homayoun Valafar (BIOCOMP, 2008)

Automated Assignment of Backbone Resonances Using Residual Dipolar Couplings Acquired from a Protein with Known Structure. - Paul Shealy; Rishi Mukhopadhyay; Stephen Smith; Homayoun Valafar (BIOCOMP, 2008)

Minimum Data Requirements and Supplemental Angle Constraints for Protein Structure Prediction with REDCRAFT. - Elizabeth Timko; Paul Shealy; Michael Bryson; Homayoun Valafar (BIOCOMP, 2008)

Tali: Local Alignment of protein Structures Using Backbone Torsion Angles. - Xijiang Miao; Peter J. Waddell; Homayoun Valafar (J. Bioinform. Comput. Biol., 2008)

An Investigation in Aligning Multiple Protein Structures Using Biochemical and Biophysical Properties. - Paul Shealy; Homayoun Valafar (BIOCOMP, 2009)

Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology. - Ryan Yandle; Rishi Mukhopadhyay; Homayoun Valafar (BIOCOMP, 2009)

An Artificial Neural Network Based Approach for Identification of Native Protein Structures Using an Extended Forcefield. - Timothy Matthew Fawcett; Stephanie Jimenez Irausquin; Mikhail Simin; Homayoun Valafar (BIBM, 2011)

Multiple structure alignment with msTALI. - Paul Shealy; Homayoun Valafar (BMC Bioinform., 2012)

Advances in the REDCAT software package. - Chris Schmidt; Stephanie Jimenez Irausquin; Homayoun Valafar (BMC Bioinform., 2013)

Dynafold: a Dynamic Programming Approach to protein Backbone Structure determination from Minimal Sets of residual Dipolar couplings. - Rishi Mukhopadhyay; Stephanie Jimenez Irausquin; Chris Schmidt; Homayoun Valafar (J. Bioinform. Comput. Biol., 2014)

Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. - Sarah Hales; Gabrielle M. Turner-McGrievy; Sara Wilcox; Arjang Fahim; Rachel E. Davis; Michael N. Huhns; Homayoun Valafar (Int. J. Medical Informatics, 2016)

Resolving ambiguities in accelerometer data due to location of sensor on wrist in application to detection of smoking gesture. - Casey A. Cole; James F. Thrasher; Scott M. Strayer; Homayoun Valafar (BHI, 2017)

Application of ensemble learning to the differential gene expression in left-right breast tumors. - Casey A. Cole; Kenneth L. Nesbitt; Homayoun Valafar (CIBCB, 2018)

Evaluating Precisicon and Recall through the Utility of msTALI via an Active Site Study on Fold Families. - Devaun McFarland; Caroline Bullock; Homayoun Valafar (BIBM, 2019)

Improvements of the REDCRAFT Software Package. - Casey A. Cole; Caleb Parks; Julian Rachele; Homayoun Valafar (CoRR, 2019)

PDBMine: A Reformulation of the Protein Data Bank to Facilitate Structural Data Mining. - Casey A. Cole; Christopher Ott; Diego Valdes; Homayoun Valafar (CoRR, 2019)

Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks. - Brendan E. Odigwe; Jesuloluwa S. Eyitayo; Celestine I. Odigwe; Homayoun Valafar (CoRR, 2019)

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques. - Liang Zhao; Brendan E. Odigwe; Susan M. Lessner; Daniel G. Clair; Firas Mussa; Homayoun Valafar (CoRR, 2019)

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage. - Sara Belle Donevant; Erik Svendsen; Jane V. Richter; Abbas Tavakoli; Jean Craig; Nicholas D. Boltin; Homayoun Valafar; Salvatore DiNardi; Joan Marie Culley (J. Am. Medical Informatics Assoc., 2019)

A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV. - Niharika Pandala; Casey A. Cole; Devaun McFarland; Anita Nag; Homayoun Valafar (BCB, 2020)

Increased usability, algorithmic improvements and incorporation of data mining for structure calculation of proteins with REDCRAFT software package. - Casey A. Cole; Caleb Parks; Julian Rachele; Homayoun Valafar (BMC Bioinform., 2020)

State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks. - Chrisogonas O. Odhiambo; Casey A. Cole; Alaleh Torkjazi; Homayoun Valafar (CoRR, 2020)

An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents. - Nicholas D. Boltin; Daniel Vu; Bethany Janos; Alyssa Shofner; Joan Marie Culley; Homayoun Valafar (CoRR, 2020)

Recognition of Smoking Gesture Using Smart Watch Technology. - Casey A. Cole; Bethany Janos; Dien Anshari; James F. Thrasher; Scott M. Strayer; Homayoun Valafar (CoRR, 2020)

Assessing the Precision and Recall of msTALI as Applied to an Active-Site Study on Fold Families. - Devaun McFarland; Homayoun Valafar (CoRR, 2020)

An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks. - Aaron Hein; Casey A. Cole; Homayoun Valafar (CoRR, 2020)

Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation. - Faramarz Valafar; Homayoun Valafar; William S. York (CoRR, 2020)

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. - Faramarz Valafar; Homayoun Valafar (CoRR, 2020)

Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation. - Homayoun Valafar; Faramarz Valafar (CoRR, 2020)

Parallel Implementation of Distributed Global Optimization (DGO). - Homayoun Valafar; Okan K. Ersoy; Faramarz Valafar (CoRR, 2020)

Computational modeling of SARS-CoV-2 Nsp1 binding to human ribosomal 40S complex. - Linkel Boateng; Anita Nag; Homayoun Valafar (BCB, 2021)

Application of Machine Learning to Sleep Stage Classification. - Andrew Smith; Hardik Anand; Snezana Milosavljevic; Katherine M. Rentschler; Ana Pocivavsek; Homayoun Valafar (CSCI, 2021)

Structure Calculation and Reconstruction of Discrete State Dynamics from Residual Dipolar Couplings using REDCRAFT. - Casey A. Cole; Rishi Mukhopadhyay; Hanin Omar; Mirko Hennig; Homayoun Valafar (CoRR, 2021)

MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data. - Chrisogonas O. Odhiambo; Pamela J. Wright; Cindy Corbett; Homayoun Valafar (CoRR, 2021)

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy. - Brendan E. Odigwe; Francis G. Spinale; Homayoun Valafar (CoRR, 2021)

REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution. - Casey A. Cole; Nourhan S. Daigham; Gaohua Liu; Gaetano T. Montelione; Homayoun Valafar (PLoS Comput. Biol., 2021)

Application of machine learning for patient response prediction to cardiac resynchronization therapy. - Brendan E. Odigwe; Alireza Bagheri Rajeoni; Celestine I. Odigwe; Francis G. Spinale; Homayoun Valafar (BCB, 2022)

Comprehensive and User-Analytics-Friendly Cancer Patient Database for Physicians and Researchers. - Ali Firooz; Avery T. Funkhouser; Julie C. Martin; W. Jeffery Edenfield; Homayoun Valafar; Anna V. Blenda (CSCI, 2022)

On Creating a Comprehensive Food Database. - Lexington Whalen; Brie Turner-McGrievy; Matthew McGrievy; Andrew Hester; Homayoun Valafar (CSCI, 2022)

Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents. - Nicholas D. Boltin; Joan Marie Culley; Homayoun Valafar (CoRR, 2022)

Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks. - Chrisogonas O. Odhiambo; Sanjoy Saha; Corby K. Martin; Homayoun Valafar (CoRR, 2022)

nD-PDPA: nDimensional Probability Density Profile Analysis. - Arjang Fahim; Stephanie Jimenez Irausquin; Homayoun Valafar (CoRR, 2023)

Wordification: A New Way of Teaching English Spelling Patterns. - Lexington Whalen; Nathan Bickel; Shash Comandur; Dalton Craven; Stanley Dubinsky; Homayoun Valafar (CoRR, 2023)

TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning. - Alireza Bagheri Rajeoni; Breanna Pederson; Ali Firooz; Hamed Abdollahi; Andrew K. Smith; Daniel G. Clair; Susan M. Lessner; Homayoun Valafar (CoRR, 2023)

Automated Measurement of Vascular Calcification in Femoral Endarterectomy Patients Using Deep Learning. - Alireza Bagheri Rajeoni; Breanna Pederson; Daniel G. Clair; Susan M. Lessner; Homayoun Valafar (CoRR, 2023)

DataDock: An Open Source Data Hub for Research. - Lexington Whalen; Homayoun Valafar (CoRR, 2024)

Dihedral Angle Adherence: Evaluating Protein Structure Predictions in the Absence of Experimental Data. - Musa Azeem; Homayoun Valafar (CoRR, 2024)

Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step. - Andrew Smith; Musa Azeem; Chrisogonas O. Odhiambo; Pamela J. Wright; Hanim E. Diktas; Spencer Upton; Corby K. Martin; Brett Froeliger; Cynthia F. Corbett; Homayoun Valafar (Sensors, 2024)

Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering. - Sankalp Jajee; Gaurav Kumar; Homayoun Valafar (CoRR, 2025)