VOSviewer
Courses
- TSTheory of Statistics
- SMLStatistical Machine Learning
- CSDSCapstone for Statistics and Data Science
Grants
- Ovarian Cancer Detection with Blood- and Imaging-Based Biomarkers
Co-Investigator (COI)
2022
$1.7M
Active - Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
Principal Investigator (PI)
2021
$14.3K
Active - RTG: Applied Mathematics and Statistics for Data-Driven Discovery
Co-Investigator (COI)
2020
$1.7M
Active - Molecular and Imaging Assessment of Fallopian Tube Health
Co-Investigator (COI)
2018
$385.2K
- TRIPODS: UA-TRIPODS - Building Theoretical Foundations for Data Sciences
Principal Investigator (PI)
2017
$1.4M
- Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid Overdose
Co-Investigator (COI)
2017
$260.3K
- Collaborative Research: Semiparametric ODE Models for Complex Gene Regulatory Networks
Co-Investigator (COI)
2014
$164.0K
- ABI Innovation: Gini-based methodologies to enhance network-scale transcriptome analysis in plants
Principal Investigator (PI)
2013
$399.1K
- Flexible Modeling for High-Dimensional Complex Data: Theory, Methodology, and Computation
Principal Investigator (PI)
2013
$150.0K
- Faculty Early Career Development (CAREER) Program
Principal Investigator (PI)
2013
$96.1K
News
- Wake-Up Call: Cellular Sleep Isn’t As Harmless As Once Thought
2019
Publications (87)
Recent
- Heterogeneous domain adaptation with adversarial neural representation learning: experiments on e-commerce and cybersecurity.
2023
- Linear algorithms for robust and scalable nonparametric multiclass probability estimation.
2023
- a href= https://doi.org/10.1016/S2589-7500(22)00062-0 /a p Developing and validating a machine-learning algorithm to predict opioid overdose among Medicaid beneficiaries in two US states: a prognostic modeling study. /p a href= https://doi.org/10.1016/S2589-7500(22)00062-0 /a span a href= https://doi.org/10.1016/S2589-7500(22)00062-0 /a /span
2022
- span Machine learning methods-based m /span odeling and optimization of 3-D-printed dielectrics around monopole antenna.
2022
- Machine Learning Methods-based Modeling and Optimization of 3-D-Printed Dielectrics around Monopole Antenna.
2021
- Sparse Learning with Non-convex Penalty in Multi-classification
2021
- Karyometry Identifies a Distinguishing Fallopian Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer
2021
- Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
2021
- Nonparametric trace regression in high dimensions via sign series representation
2021
- SEMFA: A General Framework for Inferring Statistical Significance of Mahalanobis Similarity between Multi-Omics Profiled Samples Using Extended Multiple Factor Analysis
2021
- Parametric Test of Mahalanobis Similarity Between SNPs on Multi-omics datasets by Using Multiple Factor Analysis-based data fusion
2021
- Machine Learning Techniques for Optimizing Design of Double T-Shaped Monopole Antenna,
2020
- binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
2020
- Personalized beyond precision: designing unbiased gold standards to improve single-subject studies of personal genome dynamics from gene products.
2020
- Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study
2020
- Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.
2019
- Robust Regression for Optimal Individualized Treatment Rules
2019
- Least squares estimation of spatial autoregressive models for large-scale social networks
2019
- Effect of Intermittent Versus Continuous Low-Dose Aspirin on Nasal Epithelium Gene Expression in Current Smokers: A Randomized, Double-Blinded Trial
2019
- iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes
2019
- Multiclass Probability Estimation With Support Vector Machines
2019
- On fusion methods for knowledge discovery from multi-omics datasets
2019
- Phase II Trial of Chemopreventive Effects of Levonorgestrel on Ovarian and Fallopian Tube Epithelium in Women at High Risk for Ovarian Cancer: An NRG Oncology Group/GOG Study.
2019
- Interpretation of ‘Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes
2019
- Discussion on Doubly sparsity kernel learning with automatic variable selection and data extraction
2018
- Visual supervision in bootstrapped information extraction
2018
- Evaluating single-subject study methods for personal transcriptomic interpretation to advance precision medicine
2018
- Exit from quiescence displays a memory of cell growth and division
2017
- A Note on High Dimensional Regression Models with Interactions
2017
- Interaction Screening by Partial Correlation
2017
- Oracle P-values and Variable Screening
2017
- Principal weighted support vector machines for sufficient dimension reduction in binary classification
2017
- N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes
2017
- Semiparametric single-index model for estimating optimal individualized treatment strategy
2017
- A nonparametric survival function estimator via censored kernel quantile regression
2017
- Comments on: Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data
2016
- N-of-1-pathways MixEnrich robustly detects personal dynamic transcriptomic changes
2016
- Interpreting transcriptome dynamics for precision medicine: analyzing noisy and bidirectional pathway mRNA signals in single subjects
2016
- JOINT STRUCTURE SELECTION AND ESTIMATION IN THE TIME-VARYING COEFFICIENT COX MODEL
2016
- Evaluating IPMN and pancreatic carcinoma utilizing quantitative histopathology
2016
- kMEn: analyzing noisy and bidirectional transcriptional pathway responses in single subjects
2016
- Sparse Penalized Forward Selection for Support Vector Classification
2016
- Sparse meta-analysis with high-dimensional data
2016
- Partially functional linear regression in high dimensions
2015
- Joint structure selection and estimation in the time-varying coefficient Cox model.
2015
- Model Selection for High Dimensional Quadratic Regression via Regularization
2015
- On optimal treatment regimes selection for mean survival time.
2015
- eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs.
2015
- Two-dimensional solution surface for weighted support vector machines.
2014
- Machine learning for big data analytics in plants.
2014
- Probability-enhanced sufficient dimension reduction for binary classification.
2014
- RKHS-based functional nonlinear regres- sion for sparse and irregular longitudinal data.
2014
- Structured functional additive regression in reproducing kernel Hilbert spaces.
2014
- Adaptive elastic net for generalized methods of moments.
2014
- Interaction screening for ultra-high dimensional data.
2014
- Iterative selection using orthogonal regression techniques
2013
- Variable selection for optimal treatment decision
2013
- Sparse and efficient estimation for partial spline models with increasing dimension
2013
- Time-Varying Latent Effect Model for Longitudinal Data with Informative Observation Times
2012
- Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials
2012
- Moment-based method for random effects selection in linear mixed models
2012
- Surface estimation, variable selection, and the nonparametric oracle property
2011
- Linear or nonlinear? automatic structure discovery for partially linear models
2011
- Hard or soft classification? large-margin unified machines
2011
- Sparse estimation and inference for censored median regression
2010
- Weighted distance weighted discrimination and its asymptotic properties
2010
- Variable selection for semiparametric mixed models in longitudinal studies
2010
- Maximum Penalized Likelihood Estimation: Volume II: Regression by EGGERMONT, P. P. and LARICCA, V. N.
2010
- On sparse estimation for semiparametric linear transformation models
2010
- Robust model-free multiclass probability estimation
2010
- On estimation of partially linear transformation models
2010
- On the adaptive elastic-net with a diverging number of parameters
2009
- Automatic model selection for partially linear models
2009
- A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables
2009
- Support vector machines with adaptive L sub q /sub penalty
2007
- Variable selection for proportional odds model
2007
- Adaptive Lasso for Cox's proportional hazards model
2007
- Multiclass proximal support vector machines
2006
- Variable selection for support vector machines via smoothing spline anova
2006
- Component selection and smoothing in multivariate nonparametric regression
2006
- Model selection in nonparametric hazard regression
2006
- Gene selection using support vector machines with non-convex penalty
2006
- Component selection and smoothing for nonparametric regression in exponential families
2006
- Variable selection and model building via likelihood basis pursuit
2004
- Model building with likelihood basis pursuit
2004
- Statistical properties and adaptive tuning of support vector machines
2002