Homayoun Valafar

Orcid: 0000-0002-1581-3464

According to our database1, Homayoun Valafar authored at least 62 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step.
Sensors, July, 2024

Dihedral Angle Adherence: Evaluating Protein Structure Predictions in the Absence of Experimental Data.
CoRR, 2024

DataDock: An Open Source Data Hub for Research.
CoRR, 2024

2023
Automated Measurement of Vascular Calcification in Femoral Endarterectomy Patients Using Deep Learning.
CoRR, 2023

TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning.
CoRR, 2023

Wordification: A New Way of Teaching English Spelling Patterns.
CoRR, 2023

nD-PDPA: nDimensional Probability Density Profile Analysis.
CoRR, 2023

2022
Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks.
CoRR, 2022

Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents.
CoRR, 2022

On Creating a Comprehensive Food Database.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Comprehensive and User-Analytics-Friendly Cancer Patient Database for Physicians and Researchers.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Application of machine learning for patient response prediction to cardiac resynchronization therapy.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution.
PLoS Comput. Biol., 2021

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy.
CoRR, 2021

MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data.
CoRR, 2021

Structure Calculation and Reconstruction of Discrete State Dynamics from Residual Dipolar Couplings using REDCRAFT.
CoRR, 2021

Application of Machine Learning to Sleep Stage Classification.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Computational modeling of SARS-CoV-2 Nsp1 binding to human ribosomal 40S complex.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
Parallel Implementation of Distributed Global Optimization (DGO).
CoRR, 2020

Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation.
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.
CoRR, 2020

Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation.
CoRR, 2020

An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks.
CoRR, 2020

Assessing the Precision and Recall of msTALI as Applied to an Active-Site Study on Fold Families.
CoRR, 2020

Recognition of Smoking Gesture Using Smart Watch Technology.
CoRR, 2020

An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents.
CoRR, 2020

State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks.
CoRR, 2020

Increased usability, algorithmic improvements and incorporation of data mining for structure calculation of proteins with REDCRAFT software package.
BMC Bioinform., 2020

A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.
J. Am. Medical Informatics Assoc., 2019

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques.
CoRR, 2019

Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks.
CoRR, 2019

PDBMine: A Reformulation of the Protein Data Bank to Facilitate Structural Data Mining.
CoRR, 2019

Improvements of the REDCRAFT Software Package.
CoRR, 2019

Evaluating Precisicon and Recall through the Utility of msTALI via an Active Site Study on Fold Families.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Application of ensemble learning to the differential gene expression in left-right breast tumors.
Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

2017
Resolving ambiguities in accelerometer data due to location of sensor on wrist in application to detection of smoking gesture.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
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.
Int. J. Medical Informatics, 2016

2014
Dynafold: a Dynamic Programming Approach to protein Backbone Structure determination from Minimal Sets of residual Dipolar couplings.
J. Bioinform. Comput. Biol., 2014

2013
Advances in the REDCAT software package.
BMC Bioinform., 2013

2012
Multiple structure alignment with msTALI.
BMC Bioinform., 2012

2011
An Artificial Neural Network Based Approach for Identification of Native Protein Structures Using an Extended Forcefield.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2009
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

An Investigation in Aligning Multiple Protein Structures Using Biochemical and Biophysical Properties.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008
Tali: Local Alignment of protein Structures Using Backbone Torsion Angles.
J. Bioinform. Comput. Biol., 2008

Minimum Data Requirements and Supplemental Angle Constraints for Protein Structure Prediction with REDCRAFT.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

Automated Assignment of Backbone Resonances Using Residual Dipolar Couplings Acquired from a Protein with Known Structure.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2006
Process of Efficiently Parallelizing a Protein Structure Determination Algorithm.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

TALI: Protein Structure Alignment Using Backbone Torsion Angles.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006

2004
Distributed Global Optimization and its Development on the MultiRing Network.
Neural Parallel Sci. Comput., 2004

Residual Dipolar Couplings in High Throughput Backbone Solution Structure Determination of Proteins.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2004

2003
Rapid classification of a protein fold family using a statistical analysis of dipolar couplings.
Bioinform., 2003

2002
Data mining and knowledge discovery in proton nuclear magnetic resonance (<sup>1</sup>H-NMR) spectra using frequency to information transformation (FIT).
Knowl. Based Syst., 2002

2000
Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients.
Artif. Intell. Medicine, 2000

1999
Parallel, self organizing, consensus neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Prediction of a patient's response to a specific drug treatment using artificial neural networks.
Proceedings of the International Joint Conference Neural Networks, 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.
Proceedings of the International Joint Conference Neural Networks, 1999

Identification of H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation.
Proceedings of the International Conference on Artificial Intelligence, 1999

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.
Proceedings of the International Conference on Artificial Intelligence, 1999

1996
Distributed global optimization (DGO).
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Comparative studies of two neural network architectures for modeling of human speech production.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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