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The HRD-Algorithm: A General Method for Parametric Estimation of Two-Component Mixture Models

Analytical and Computational Methods in Probability Theory, 2017, Vol.10684, p.497-508

2017

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Variable Selection and Estimation in Kink Regression Model

Data Science for Financial Econometrics, p.151-164

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A Robust Bayesian Approach for Causal Inference Problems

Symbolic and Quantitative Approaches to Reasoning with Uncertainty, p.359-371

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Determinants of Bank Profitability in Vietnam: An Empirical Lasso Study

Data Science for Financial Econometrics, p.397-406

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Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR

Intelligent Decision Technologies, p.183-192

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Machine learning for constrained self-optimizing control

Computer Aided Chemical Engineering, 2021, Vol.50, p.1203-1208

2021

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Variable Selection in Binary Logistic Regression for Modelling Bankruptcy Risk

Statistical Modelling and Risk Analysis, 2023, Vol.430, p.143-155

2023

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A Hierarchical Prior for Bayesian Variable Selection with Interactions

Quantitative Psychology, 2024, p.45-56

2024

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Estimating Relevance of Variables for Effective Recombination

Evolutionary Multi-Criterion Optimization, 2019, Vol.11411, p.411-423

2019

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Subgroup Optimal Decisions in Cost–Effectiveness Analysis

Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions, 2018, Vol.805, p.67-74

2018

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Investigating Variable Selection Techniques Under Missing Data: A Simulation Study

Quantitative Psychology, 2024, p.109-119

2024

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A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection

AI 2023: Advances in Artificial Intelligence, p.234-245

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Accessing the Influences of Weather and Environment Factors on Traffic Speed of Freeway

Smart Transportation Systems 2020, 2020, Vol.185, p.53-67

2020

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Development of an IoT Platform for Monitoring Electric Vehicle Behaviour

Applied Computer Sciences in Engineering, p.363-374

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Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment

Artificial Neural Networks and Machine Learning - ICANN 2023, 2023, Vol.14258, p.288-299

2023

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New Exact Techniques Applied to a Class of Network Flow Formulations

Integer Programming and Combinatorial Optimization, 2021, Vol.12707, p.178-192

2021

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Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), p.460-469

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Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining

Machine Learning, Optimization, and Data Science, 2019, Vol.11331, p.520-532

2019

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Asymptotic Theory of Bayes Factor in Stochastic Differential Equations with Increasing Number of Individuals

Mathematical Modeling and Computational Tools, p.447-466

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Estimating High-Dimensional Regression Models with Bootstrap Group Penalties

New Statistical Developments in Data Science, p.469-479

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Analysis of Four Medical Datasets

Data Mining and Analytics in Healthcare Management, 2023, p.127-150

2023

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Data Pre-processing for Efficient Design of Machine Learning-Based Models to be Applied in the Steel Sector

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry, 2021, p.13-27

2021

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A Customer Relationship Management Case Study Based on Banking Data

Machine Learning, Optimization, and Big Data, 2016, Vol.10122, p.224-235

2016

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An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.55-63

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Penalized Latent Class Model for Clustering with Application to Variable Selection

Lecture Notes in Real-Time Intelligent Systems, p.55-65

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The HRD-Algorithm: A General Method for Parametric Estimation of Two-Component Mixture Models

Variable Selection and Estimation in Kink Regression Model

A Robust Bayesian Approach for Causal Inference Problems

Determinants of Bank Profitability in Vietnam: An Empirical Lasso Study

Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR

Machine learning for constrained self-optimizing control

Variable Selection in Binary Logistic Regression for Modelling Bankruptcy Risk

A Hierarchical Prior for Bayesian Variable Selection with Interactions

Estimating Relevance of Variables for Effective Recombination

Subgroup Optimal Decisions in Cost–Effectiveness Analysis

Investigating Variable Selection Techniques Under Missing Data: A Simulation Study

A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection

Accessing the Influences of Weather and Environment Factors on Traffic Speed of Freeway

Development of an IoT Platform for Monitoring Electric Vehicle Behaviour

Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment

New Exact Techniques Applied to a Class of Network Flow Formulations

Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis

Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining

Asymptotic Theory of Bayes Factor in Stochastic Differential Equations with Increasing Number of Individuals

Estimating High-Dimensional Regression Models with Bootstrap Group Penalties

Analysis of Four Medical Datasets

Data Pre-processing for Efficient Design of Machine Learning-Based Models to be Applied in the Steel Sector

A Customer Relationship Management Case Study Based on Banking Data

An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data

Penalized Latent Class Model for Clustering with Application to Variable Selection

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