John M. Usher - Related publications

Mississippi State University, Starkville, MS, United States 
Industrial Engineering, Computer Science
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50 most relevant papers in past 60 days:
Year Citation  Score
2021 Yu C, Rosendo A. Risk-Aware Model-Based Control. Frontiers in Robotics and Ai. 8: 617839. PMID 33778013 DOI: 10.3389/frobt.2021.617839   
2021 Chau VH. Powerlifting score prediction using a machine learning method. Mathematical Biosciences and Engineering : Mbe. 18: 1040-1050. PMID 33757174 DOI: 10.3934/mbe.2021056   
2021 Mulpuru V, Mishra N. In Silico Prediction of Fraction Unbound in Human Plasma from Chemical Fingerprint Using Automated Machine Learning. Acs Omega. 6: 6791-6797. PMID 33748592 DOI: 10.1021/acsomega.0c05846   
2021 Zhao Q, Yan B, Shi Y, Middendorf M. Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process. Ieee Transactions On Cybernetics. PMID 33729970 DOI: 10.1109/TCYB.2021.3059252   
2021 Gowgi P, Machireddy A, Garani SS. Spatiotemporal Memories for Missing Samples Reconstruction. Ieee Transactions On Neural Networks and Learning Systems. PMID 33729955 DOI: 10.1109/TNNLS.2021.3062463   
2021 Alizadehsani R, Roshanzamir M, Hussain S, Khosravi A, Koohestani A, Zangooei MH, Abdar M, Beykikhoshk A, Shoeibi A, Zare A, Panahiazar M, Nahavandi S, Srinivasan D, Atiya AF, Acharya UR. Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Annals of Operations Research. 1-42. PMID 33776178 DOI: 10.1007/s10479-021-04006-2   
2021 Yin J, Medellín-Azuara J, Escriva-Bou A, Liu Z. Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change. The Science of the Total Environment. 769: 144715. PMID 33736244 DOI: 10.1016/j.scitotenv.2020.144715   
2021 Yu H, Zhao Z, Cheng F. Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning. Chemosphere. 276: 130164. PMID 33725618 DOI: 10.1016/j.chemosphere.2021.130164   
2021 Hu L, Wang X, Huang YA, Hu P, You ZH. A survey on computational models for predicting protein-protein interactions. Briefings in Bioinformatics. PMID 33693513 DOI: 10.1093/bib/bbab036   
2021 Park DJ, Park MW, Lee H, Kim YJ, Kim Y, Park YH. Development of machine learning model for diagnostic disease prediction based on laboratory tests. Scientific Reports. 11: 7567. PMID 33828178 DOI: 10.1038/s41598-021-87171-5   
2021 Mohammed WM, Martinez Lastra JL. FASTory digital twin data. Data in Brief. 35: 106912. PMID 33732826 DOI: 10.1016/j.dib.2021.106912   
2021 Mohammed WM, Martinez Lastra JL. FASTory digital twin data. Data in Brief. 35: 106912. PMID 33732826 DOI: 10.1016/j.dib.2021.106912   
2021 Xu H, Pang J, Zhang W, Li X, Li M, Zhao D. Predicting Recurrence for Patients with Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning. Ieee Journal of Biomedical and Health Informatics. PMID 33705325 DOI: 10.1109/JBHI.2021.3065427   
2021 Wang G, Zhao Y, Zhang J, Ning Y. A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery. Sensors (Basel, Switzerland). 21. PMID 33804053 DOI: 10.3390/s21062056   
2021 Balagurunathan Y, Mitchell R, El Naqa I. Requirements and reliability of AI in the medical context. Physica Medica : Pm : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (Aifb). 83: 72-78. PMID 33721700 DOI: 10.1016/j.ejmp.2021.02.024   
2021 ElSaadani M, Habib E, Abdelhameed AM, Bayoumi M. Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations. Frontiers in Artificial Intelligence. 4: 636234. PMID 33748748 DOI: 10.3389/frai.2021.636234   
2021 Hernández-Sanjaime R, González M, Peñalver A, López-Espín JJ. Estimating Simultaneous Equation Models through an Entropy-Based Incremental Variational Bayes Learning Algorithm. Entropy (Basel, Switzerland). 23. PMID 33805175 DOI: 10.3390/e23040384   
2021 Liu Y, Yu Z, Sun H. Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data. Journal of Healthcare Engineering. 2021: 6672072. PMID 33763194 DOI: 10.1155/2021/6672072   
2021 Firman T, Huihui J, Clark AR, Ghosh K. Critical Comparison of MaxCal and Other Stochastic Modeling Approaches in Analysis of Gene Networks. Entropy (Basel, Switzerland). 23. PMID 33802879 DOI: 10.3390/e23030357   
2021 Liu LP, Zhao QY, Wu J, Luo YW, Dong H, Chen ZW, Gui R, Wang YJ. Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery. Frontiers in Medicine. 8: 632210. PMID 33693019 DOI: 10.3389/fmed.2021.632210   
2021 Han H, Choi S. Transfer Learning from Simulation to Experimental Data: NMR Chemical Shift Predictions. The Journal of Physical Chemistry Letters. 3662-3668. PMID 33826849 DOI: 10.1021/acs.jpclett.1c00578   
2021 Sugimoto K, Takeda T, Oh JH, Wada S, Konishi S, Yamahata A, Manabe S, Tomiyama N, Matsunaga T, Nakanishi K, Matsumura Y. Extracting Clinical Terms from Radiology Reports with Deep Learning. Journal of Biomedical Informatics. 103729. PMID 33711545 DOI: 10.1016/j.jbi.2021.103729   
2021 Shestopaloff K, Dong M, Gao F, Xu W. Dcmd: Distance-based classification using mixture distributions on microbiome data. Plos Computational Biology. 17: e1008799. PMID 33711013 DOI: 10.1371/journal.pcbi.1008799   
2021 Liu J, Li M, Luo Y, Yang S, Li W, Bi Y. Alzheimer's disease detection using depthwise separable convolutional neural networks. Computer Methods and Programs in Biomedicine. 203: 106032. PMID 33713959 DOI: 10.1016/j.cmpb.2021.106032   
2021 Zhou J, Hoen AG, Mcritchie S, Pathmasiri W, Viles WD, Nguyen QP, Madan JC, Dade E, Karagas MR, Gui J. Information enhanced model selection for Gaussian graphical model with application to metabolomic data. Biostatistics (Oxford, England). PMID 33720330 DOI: 10.1093/biostatistics/kxab006   
2021 Nardini JT, Baker RE, Simpson MJ, Flores KB. Learning differential equation models from stochastic agent-based model simulations. Journal of the Royal Society, Interface. 18: 20200987. PMID 33726540 DOI: 10.1098/rsif.2020.0987   
2021 Aquino-Brítez D, Ortiz A, Ortega J, León J, Formoso M, Gan JQ, Escobar JJ. Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors (Basel, Switzerland). 21. PMID 33802684 DOI: 10.3390/s21062096   
2021 Jones D, Kim H, Zhang X, Zemla A, Stevenson G, Bennett WFD, Kirshner D, Wong SE, Lightstone FC, Allen JE. Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. Journal of Chemical Information and Modeling. PMID 33754707 DOI: 10.1021/acs.jcim.0c01306   
2021 Heppenstall A, Crooks A, Malleson N, Manley E, Ge J, Batty M. Future Developments in Geographical Agent-Based Models: Challenges and Opportunities. Geographical Analysis. 53: 76-91. PMID 33678813 DOI: 10.1111/gean.12267   
2021 Zhou W, Luo G. Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. Heterogenous Data Management, Polystores, and Analytics For Healthcare : Vldb Workshops, Poly 2020 and Dmah 2020 Virtual Event, August 31 and September 4, 2020 : Revised Selected Papers. 12633: 213-227. PMID 33768220 DOI: 10.1007/978-3-030-71055-2_17   
2021 Chen J, Huang X, Jiang H, Miao X. Low-Cost and Device-Free Human Activity Recognition Based on Hierarchical Learning Model. Sensors (Basel, Switzerland). 21. PMID 33800704 DOI: 10.3390/s21072359   
2021 Yoo JE, Rho M. Large-Scale Survey Data Analysis with Penalized Regression: A Monte Carlo Simulation on Missing Categorical Predictors. Multivariate Behavioral Research. 1-29. PMID 33703972 DOI: 10.1080/00273171.2021.1891856   
2021 Pan Q, Huang C, Chen D. A method based on multi-standard active learning to recognize entities in electronic medical record. Mathematical Biosciences and Engineering : Mbe. 18: 1000-1021. PMID 33757172 DOI: 10.3934/mbe.2021054   
2021 Pernici F, Bruni M, Baecchi C, Bimbo AD. Regular Polytope Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33606644 DOI: 10.1109/TNNLS.2021.3056762   
2021 Sverdlov O, Ryeznik Y, Wong WK. Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field. Contemporary Clinical Trials. 106397. PMID 33845209 DOI: 10.1016/j.cct.2021.106397   
2021 Xu J, Li F, Leier A, Xiang D, Shen HH, Marquez Lago TT, Li J, Yu DJ, Song J. Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides. Briefings in Bioinformatics. PMID 33774670 DOI: 10.1093/bib/bbab083   
2021 Lüftinger L, Májek P, Beisken S, Rattei T, Posch AE. Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data. Frontiers in Cellular and Infection Microbiology. 11: 610348. PMID 33659219 DOI: 10.3389/fcimb.2021.610348   
2021 Chen H, Lu W, Song R. Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting. Journal of the American Statistical Association. 116: 240-255. PMID 33737759 DOI: 10.1080/01621459.2020.1770098   
2021 Flores V, Leiva C. A Comparative Study on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process. Sensors (Basel, Switzerland). 21. PMID 33803046 DOI: 10.3390/s21062119   
2021 Cappozzo A, Duponchel L, Greselin F, Murphy TB. Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food. Analytica Chimica Acta. 1153: 338245. PMID 33714445 DOI: 10.1016/j.aca.2021.338245   
2021 Lim S, Lu Y, Cho CY, Sung I, Kim J, Kim Y, Park S, Kim S. A review on compound-protein interaction prediction methods: Data, format, representation and model. Computational and Structural Biotechnology Journal. 19: 1541-1556. PMID 33841755 DOI: 10.1016/j.csbj.2021.03.004   
2021 Lazos D, Collins-Fekete CA, Bober M, Evans PM, Dikaios N. Machine learning for proton path tracking in proton computed tomography. Physics in Medicine and Biology. PMID 33765674 DOI: 10.1088/1361-6560/abf1fd   
2021 Fengler A, Govindarajan LN, Chen T, Frank MJ. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. Elife. 10. PMID 33821788 DOI: 10.7554/eLife.65074   
2021 Wang W, Zhang X, Dai DQ. DeFusion: a denoised network regularization framework for multi-omics integration. Briefings in Bioinformatics. PMID 33822879 DOI: 10.1093/bib/bbab057   
2021 Xu T, An D, Jia Y, Yue Y. A Review: Point Cloud-Based 3D Human Joints Estimation. Sensors (Basel, Switzerland). 21. PMID 33804411 DOI: 10.3390/s21051684   
2021 Wilson CG, Qian F, Jerolmack DJ, Roberts S, Ham J, Koditschek D, Shipley TF. Spatially and temporally distributed data foraging decisions in disciplinary field science. Cognitive Research: Principles and Implications. 6: 29. PMID 33825984 DOI: 10.1186/s41235-021-00296-z   
2021 Mulder J, Gu X. Bayesian Testing of Scientific Expectations under Multivariate Normal Linear Models. Multivariate Behavioral Research. 1-29. PMID 33827347 DOI: 10.1080/00273171.2021.1904809   
2021 Kang I, Yi W, Turner BM. A regularization method for linking brain and behavior. Psychological Methods. PMID 33793267 DOI: 10.1037/met0000387   
2021 Xu X, Liu S, Yang Z, Zhao X, Deng Y, Zhang G, Pang J, Zhao C, Zhang W. A systematic review of computational methods for predicting long noncoding RNAs. Briefings in Functional Genomics. PMID 33754153 DOI: 10.1093/bfgp/elab016   
2021 Wang H, Lu W, Chang Z. Simultaneous identification of groundwater contamination source and aquifer parameters with a new weighted-average wavelet variable-threshold denoising method. Environmental Science and Pollution Research International. PMID 33733419 DOI: 10.1007/s11356-021-12959-x