Homayoun Valafar
Orcid: 0000-0002-1581-3464
According to our database1,
Homayoun Valafar
authored at least 62 papers
between 1995 and 2024.
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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
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
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
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
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
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
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
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
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
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
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
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