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2020 – today
- 2024
[j13]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:
Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step. Sensors 24(14): 4542 (2024)- [i35]Lexington Whalen, Homayoun Valafar:
DataDock: An Open Source Data Hub for Research. CoRR abs/2406.16880 (2024) - [i34]Musa Azeem, Homayoun Valafar:
Dihedral Angle Adherence: Evaluating Protein Structure Predictions in the Absence of Experimental Data. CoRR abs/2407.18336 (2024) - 2023
- [i33]Lexington Whalen, Brie Turner-McGrievy, Matthew McGrievy, Andrew Hester, Homayoun Valafar:
On Creating a Comprehensive Food Database. CoRR abs/2301.10649 (2023) - [i32]Ali Firooz, Avery T. Funkhouser, Julie C. Martin, W. Jeffery Edenfield, Homayoun Valafar, Anna V. Blenda:
Comprehensive and user-analytics-friendly cancer patient database for physicians and researchers. CoRR abs/2302.01337 (2023) - [i31]Arjang Fahim, Stephanie Jimenez Irausquin, Homayoun Valafar:
nD-PDPA: nDimensional Probability Density Profile Analysis. CoRR abs/2304.02682 (2023) - [i30]Lexington Whalen, Nathan Bickel, Shash Comandur, Dalton Craven, Stanley Dubinsky, Homayoun Valafar:
Wordification: A New Way of Teaching English Spelling Patterns. CoRR abs/2309.12981 (2023) - [i29]Alireza Bagheri Rajeoni, Breanna Pederson, Ali Firooz, Hamed Abdollahi, Andrew K. Smith, Daniel G. Clair, Susan M. Lessner, Homayoun Valafar:
TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning. CoRR abs/2311.10328 (2023) - [i28]Alireza Bagheri Rajeoni, Breanna Pederson, Daniel G. Clair, Susan M. Lessner, Homayoun Valafar:
Automated Measurement of Vascular Calcification in Femoral Endarterectomy Patients Using Deep Learning. CoRR abs/2311.16001 (2023) - 2022
- [c25]Brendan E. Odigwe, Alireza Bagheri Rajeoni, Celestine I. Odigwe, Francis G. Spinale, Homayoun Valafar:
Application of machine learning for patient response prediction to cardiac resynchronization therapy. BCB 2022: 47:1-47:4 - [c24]Lexington Whalen, Brie Turner-McGrievy, Matthew McGrievy, Andrew Hester, Homayoun Valafar:
On Creating a Comprehensive Food Database. CSCI 2022: 1610-1614 - [c23]Ali Firooz, Avery T. Funkhouser, Julie C. Martin, W. Jeffery Edenfield, Homayoun Valafar, Anna V. Blenda:
Comprehensive and User-Analytics-Friendly Cancer Patient Database for Physicians and Researchers. CSCI 2022: 1615-1621 - [i27]Nicholas D. Boltin, Joan Marie Culley, Homayoun Valafar:
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents. CoRR abs/2204.00642 (2022) - [i26]Chrisogonas O. Odhiambo, Sanjoy Saha, Corby K. Martin, Homayoun Valafar:
Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks. CoRR abs/2206.07654 (2022) - 2021
- [j12]Casey A. Cole, Nourhan S. Daigham, Gaohua Liu, Gaetano T. Montelione, Homayoun Valafar:
REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution. PLoS Comput. Biol. 17(2) (2021) - [c22]Linkel Boateng, Anita Nag, Homayoun Valafar:
Computational modeling of SARS-CoV-2 Nsp1 binding to human ribosomal 40S complex. BCB 2021: 22:1-22:6 - [c21]Andrew Smith, Hardik Anand, Snezana Milosavljevic, Katherine M. Rentschler, Ana Pocivavsek, Homayoun Valafar:
Application of Machine Learning to Sleep Stage Classification. CSCI 2021: 349-354 - [i25]Casey A. Cole, Rishi Mukhopadhyay, Hanin Omar, Mirko Hennig, Homayoun Valafar:
Structure Calculation and Reconstruction of Discrete State Dynamics from Residual Dipolar Couplings using REDCRAFT. CoRR abs/2103.10460 (2021) - [i24]Chrisogonas O. Odhiambo, Pamela J. Wright, Cindy Corbett, Homayoun Valafar:
MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data. CoRR abs/2105.08907 (2021) - [i23]Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar:
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy. CoRR abs/2109.06139 (2021) - [i22]Andrew Smith, Hardik Anand, Snezana Milosavljevic, Katherine M. Rentschler, Ana Pocivavsek, Homayoun Valafar:
Application of Machine Learning to Sleep Stage Classification. CoRR abs/2111.03085 (2021) - 2020
- [j11]Casey A. Cole, Caleb Parks, Julian Rachele, Homayoun Valafar:
Increased usability, algorithmic improvements and incorporation of data mining for structure calculation of proteins with REDCRAFT software package. BMC Bioinform. 21-S(9): 204 (2020) - [c20]Niharika Pandala, Casey A. Cole, Devaun McFarland, Anita Nag, Homayoun Valafar:
A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV. BCB 2020: 32:1-32:9 - [i21]Chrisogonas O. Odhiambo, Casey A. Cole, Alaleh Torkjazi, Homayoun Valafar:
State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks. CoRR abs/2001.02101 (2020) - [i20]Nicholas D. Boltin, Daniel Vu, Bethany Janos, Alyssa Shofner, Joan Marie Culley, Homayoun Valafar:
An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents. CoRR abs/2001.09735 (2020) - [i19]Casey A. Cole, Bethany Janos, Dien Anshari, James F. Thrasher, Scott M. Strayer, Homayoun Valafar:
Recognition of Smoking Gesture Using Smart Watch Technology. CoRR abs/2003.02735 (2020) - [i18]Devaun McFarland, Homayoun Valafar:
Assessing the Precision and Recall of msTALI as Applied to an Active-Site Study on Fold Families. CoRR abs/2005.10739 (2020) - [i17]Niharika Pandala, Casey A. Cole, Devaun McFarland, Anita Nag, Homayoun Valafar:
A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV. CoRR abs/2007.13469 (2020) - [i16]Michael Bryson, Xijiang Miao, Homayoun Valafar:
Process of Efficiently Parallelizing a Protein Structure Determination Algorithm. CoRR abs/2008.00018 (2020) - [i15]Aaron Hein, Casey A. Cole, Homayoun Valafar:
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks. CoRR abs/2008.00539 (2020) - [i14]Faramarz Valafar, Homayoun Valafar, William S. York:
Identification of 1H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation. CoRR abs/2008.01004 (2020) - [i13]Homayoun Valafar, Faramarz Valafar, Okan K. Ersoy:
Parallel, Self Organizing, Consensus Neural Networks. CoRR abs/2008.02067 (2020) - [i12]Faramarz Valafar, Homayoun Valafar:
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 abs/2008.02072 (2020) - [i11]Xijiang Miao, Michael G. Bryson, Homayoun Valafar:
TALI: Protein Structure Alignment Using Backbone Torsion Angles. CoRR abs/2012.06697 (2020) - [i10]Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar:
Distributed Global Optimization (DGO). CoRR abs/2012.09252 (2020) - [i9]Homayoun Valafar, Faramarz Valafar:
Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation. CoRR abs/2012.09267 (2020) - [i8]Homayoun Valafar, Okan K. Ersoy, Farmaraz Valafar:
Parallel Implementation of Distributed Global Optimization (DGO). CoRR abs/2012.09861 (2020)
2010 – 2019
- 2019
- [j10]Sara Belle Donevant, Erik Svendsen, Jane V. Richter, Abbas Tavakoli, Jean Craig, Nicholas D. Boltin, Homayoun Valafar, Salvatore DiNardi, Joan Marie Culley:
Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage. J. Am. Medical Informatics Assoc. 26(10): 1091-1098 (2019) - [c19]Devaun McFarland, Caroline Bullock, Homayoun Valafar:
Evaluating Precisicon and Recall through the Utility of msTALI via an Active Site Study on Fold Families. BIBM 2019: 1569-1572 - [i7]Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar:
Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data. CoRR abs/1911.00383 (2019) - [i6]Paul Shealy, Rishi Mukhopadhyay, Stephen Smith, Homayoun Valafar:
Automated Assignment of Backbone Resonances Using Residual Dipolar Couplings Acquired from a Protein with Known Structure. CoRR abs/1911.00526 (2019) - [i5]Ryan Yandle, Rishi Mukhopadhyay, Homayoun Valafar:
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology. CoRR abs/1911.02396 (2019) - [i4]Casey A. Cole, Caleb Parks, Julian Rachele, Homayoun Valafar:
Improvements of the REDCRAFT Software Package. CoRR abs/1911.08612 (2019) - [i3]Casey A. Cole, Christopher Ott, Diego Valdes, Homayoun Valafar:
PDBMine: A Reformulation of the Protein Data Bank to Facilitate Structural Data Mining. CoRR abs/1911.08614 (2019) - [i2]Brendan E. Odigwe, Jesuloluwa S. Eyitayo, Celestine I. Odigwe, Homayoun Valafar:
Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks. CoRR abs/1911.10978 (2019) - [i1]Liang Zhao, Brendan E. Odigwe, Susan M. Lessner, Daniel G. Clair, Firas Mussa, Homayoun Valafar:
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques. CoRR abs/1912.06010 (2019) - 2018
- [c18]Casey A. Cole, Kenneth L. Nesbitt, Homayoun Valafar:
Application of ensemble learning to the differential gene expression in left-right breast tumors. CIBCB 2018: 1-6 - 2017
- [c17]Casey A. Cole, James F. Thrasher, Scott M. Strayer, Homayoun Valafar:
Resolving ambiguities in accelerometer data due to location of sensor on wrist in application to detection of smoking gesture. BHI 2017: 489-492 - 2016
- [j9]Sarah Hales, Gabrielle M. Turner-McGrievy, Sara Wilcox, Arjang Fahim, Rachel E. Davis, Michael N. Huhns, Homayoun Valafar:
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 94: 81-90 (2016) - 2014
- [j8]Rishi Mukhopadhyay, Stephanie Jimenez Irausquin, Chris Schmidt, Homayoun Valafar:
Dynafold: a Dynamic Programming Approach to protein Backbone Structure determination from Minimal Sets of residual Dipolar couplings. J. Bioinform. Comput. Biol. 12(1) (2014) - 2013
- [j7]Chris Schmidt, Stephanie Jimenez Irausquin, Homayoun Valafar:
Advances in the REDCAT software package. BMC Bioinform. 14: 302 (2013) - 2012
- [j6]Paul Shealy, Homayoun Valafar:
Multiple structure alignment with msTALI. BMC Bioinform. 13: 105 (2012) - 2011
- [c16]Timothy Matthew Fawcett, Stephanie Jimenez Irausquin, Mikhail Simin, Homayoun Valafar:
An Artificial Neural Network Based Approach for Identification of Native Protein Structures Using an Extended Forcefield. BIBM 2011: 500-505
2000 – 2009
- 2009
- [c15]Paul Shealy, Homayoun Valafar:
An Investigation in Aligning Multiple Protein Structures Using Biochemical and Biophysical Properties. BIOCOMP 2009: 10-16 - [c14]Ryan Yandle, Rishi Mukhopadhyay, Homayoun Valafar:
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology. BIOCOMP 2009: 90-95 - 2008
- [j5]Xijiang Miao, Peter J. Waddell, Homayoun Valafar:
Tali: Local Alignment of protein Structures Using Backbone Torsion Angles. J. Bioinform. Comput. Biol. 6(1): 163-181 (2008) - [c13]Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar:
Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data. BIOCOMP 2008: 633-638 - [c12]Paul Shealy, Rishi Mukhopadhyay, Stephen Smith, Homayoun Valafar:
Automated Assignment of Backbone Resonances Using Residual Dipolar Couplings Acquired from a Protein with Known Structure. BIOCOMP 2008: 646-652 - [c11]Elizabeth Timko, Paul Shealy, Michael Bryson, Homayoun Valafar:
Minimum Data Requirements and Supplemental Angle Constraints for Protein Structure Prediction with REDCRAFT. BIOCOMP 2008: 738-744 - 2006
- [c10]Xijiang Miao, Michael Bryson, Homayoun Valafar:
TALI: Protein Structure Alignment Using Backbone Torsion Angles. BIOCOMP 2006: 3-9 - [c9]Michael Bryson, Xijiang Miao, Homayoun Valafar:
Process of Efficiently Parallelizing a Protein Structure Determination Algorithm. PDPTA 2006: 320-326 - [e4]Hamid R. Arabnia, Homayoun Valafar:
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, BIOCOMP'06, Las Vegas, Nevada, USA, June 26-29, 2006. CSREA Press 2006, ISBN 1-60132-002-7 [contents] - 2005
- [e3]Faramarz Valafar, Homayoun Valafar:
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. CSREA Press 2005, ISBN 1-932415-83-1 [contents] - 2004
- [j4]Homayoun Valafar, Hamid R. Arabnia, Gita Williams:
Distributed Global Optimization and its Development on the MultiRing Network. Neural Parallel Sci. Comput. 12(4): 465-490 (2004) - [c8]Homayoun Valafar, Kristen L. Mayer, Peter D. LeBlond, Catherine Bougault, James H. Prestegard:
Residual Dipolar Couplings in High Throughput Backbone Solution Structure Determination of Proteins. METMBS 2004: 270 - [e2]Faramarz Valafar, Homayoun Valafar:
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. CSREA Press 2004, ISBN 1-932415-43-2 [contents] - 2003
- [j3]Homayoun Valafar, James H. Prestegard:
Rapid classification of a protein fold family using a statistical analysis of dipolar couplings. Bioinform. 19(12): 1549-1555 (2003) - [e1]Faramarz Valafar, Homayoun Valafar:
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS '03, June 23 - 26, 2003, Las Vegas, Nevada, USA. CSREA Press 2003, ISBN 1-932415-04-1 [contents] - 2002
- [j2]Homayoun Valafar, Faramarz Valafar:
Data mining and knowledge discovery in proton nuclear magnetic resonance (1H-NMR) spectra using frequency to information transformation (FIT). Knowl. Based Syst. 15(4): 251-259 (2002) - 2000
- [j1]Homayoun Valafar, Faramarz Valafar, Alan Darvill, Peter Albersheim, Abdullah Kutlar, Kristy F. Woods, John Hardin:
Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients. Artif. Intell. Medicine 18(2): 133-148 (2000)
1990 – 1999
- 1999
- [c7]Faramarz Valafar, Homayoun Valafar, William S. York:
Identification of H-NMR Spectra of Xyloglucan Oligosaccharides: A Comparative Study of Artificial Neural Networks and Bayesian Classification Using Nonparametric Density Estimation. IC-AI 1999: 549-553 - [c6]Faramarz Valafar, Homayoun Valafar:
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. IC-AI 1999: 554-558 - [c5]Homayoun Valafar, Faramarz Valafar, Okan K. Ersoy:
Parallel, self organizing, consensus neural networks. IJCNN 1999: 1225-1228 - [c4]Saeid Roushanzamir, Homayoun Valafar, Faramarz Valafar:
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. IJCNN 1999: 3627-3631 - [c3]Homayoun Valafar, Faramarz Valafar:
Prediction of a patient's response to a specific drug treatment using artificial neural networks. IJCNN 1999: 3694-3697 - 1996
- [c2]Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar:
Distributed global optimization (DGO). ICNN 1996: 531/10-536 - 1995
- [c1]Faramarz Valafar, Homayoun Valafar, Okan K. Ersoy, Richard G. Schwartz:
Comparative studies of two neural network architectures for modeling of human speech production. ICNN 1995: 2056-2061
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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