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Improvements of the Newton–Raphson method

Journal of computational and applied mathematics, 2022-07, Vol.408, p.114106, Article 114106

Pho, Kim-Hung

2022

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Zero-inflated logit probit model: a novel model for binary data

Communications in statistics. Theory and methods, 2024-09, Vol.53 (18), p.6580-6599

Pho, Kim-Hung

2024

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Goodness of fit test for a zero-inflated Bernoulli regression model

Communications in statistics. Simulation and computation, 2024-02, Vol.53 (2), p.756-771

Pho, Kim-Hung

2024

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Soil carbon pool changes following semi-arid lands planting programs

Catena (Giessen), 2020-08, Vol.191, p.104563, Article 104563

2020

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Using text mining algorithms in identifying emerging trends for recommender systems

Quality & quantity, 2022-06, Vol.56 (3), p.1293-1326

2022

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Time series modelling to forecast the confirmed and recovered cases of COVID-19

Travel medicine and infectious disease, 2020-09, Vol.37, p.101742-101742, Article 101742

2020

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Research trends on big data domain using text mining algorithms

Digital Scholarship in the Humanities, 2021-06, Vol.36 (2), p.361-370

2021

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Prediction for the processes with almost cyclostationary structure

Journal of statistical computation and simulation, 2020-10, Vol.90 (15), p.2814-2822

2020

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Automatic Text Summarization Using Genetic Algorithm and Repetitive Patterns

Computers, materials & continua, 2021, Vol.67 (1), p.1085-1101

2021

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Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models

Chaos, solitons and fractals, 2020-11, Vol.140, p.110151-110151, Article 110151

2020

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Determining distribution for the product of random variables by using copulas

Risks (Basel), 2019-03, Vol.7 (1), p.1-20

2019

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On comparing and clustering the spectral densities of several almost cyclostationary processes

Alexandria engineering journal, 2020-08, Vol.59 (4), p.2555-2565

2020

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A novel method to detect almost cyclostationary structure

Alexandria engineering journal, 2020-08, Vol.59 (4), p.2339-2346

2020

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Fuzzy clustering to classify several regression models with fractional Brownian motion errors

Alexandria engineering journal, 2020-08, Vol.59 (4), p.2811-2818

2020

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A linear space adjustment by mapping data into an intermediate space and keeping low level data structures

Journal of experimental & theoretical artificial intelligence, 2021-07, Vol.33 (4), p.637-657

2021

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Testing the equality of the spectral densities of several uncorrelated almost cyclostationary processes

Alexandria engineering journal, 2020-10, Vol.59 (5), p.3545-3550

2020

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Cluster ensemble selection using balanced normalized mutual information

Journal of intelligent & fuzzy systems, 2020-01, Vol.39 (3), p.3033-3055

2020

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Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries

Chaos, solitons and fractals, 2020-11, Vol.140, p.110230-110230, Article 110230

2020

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An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization

Complexity (New York, N.Y.), 2020, Vol.2020, p.1-18

2020

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Deep neural network as deep feature learner

Journal of intelligent & fuzzy systems, 2020-01, Vol.39 (1), p.355-369

2020

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Estimation of parameters of logistic regression for two-stage randomized response technique

Computational statistics, 2021-09, Vol.36 (3), p.2111-2133

2021

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Dealing with Imbalanced Dataset Leveraging Boundary Samples Discovered by Support Vector Data Description

Computers, materials & continua, 2021, Vol.66 (3), p.2691-2708

2021

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Zero-inflated probit Bernoulli model: a new model for binary data

Communications in statistics. Simulation and computation, 2023-05, Vol.ahead-of-print (ahead-of-print), p.1-21

Pho, Kim-Hung

2023

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Cluster ensemble of valid small clusters

Journal of intelligent & fuzzy systems, 2020-01, Vol.39 (1), p.525-542

2020

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Numerical function optimization by conditionalized PSO algorithm

Journal of intelligent & fuzzy systems, 2020-01, Vol.39 (3), p.3275-3295

2020

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Improvements of the Newton–Raphson method

Zero-inflated logit probit model: a novel model for binary data

Goodness of fit test for a zero-inflated Bernoulli regression model

Soil carbon pool changes following semi-arid lands planting programs

Using text mining algorithms in identifying emerging trends for recommender systems

Time series modelling to forecast the confirmed and recovered cases of COVID-19

Research trends on big data domain using text mining algorithms

Prediction for the processes with almost cyclostationary structure

Automatic Text Summarization Using Genetic Algorithm and Repetitive Patterns

Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models

Determining distribution for the product of random variables by using copulas

On comparing and clustering the spectral densities of several almost cyclostationary processes

A novel method to detect almost cyclostationary structure

Fuzzy clustering to classify several regression models with fractional Brownian motion errors

A linear space adjustment by mapping data into an intermediate space and keeping low level data structures

Testing the equality of the spectral densities of several uncorrelated almost cyclostationary processes

Cluster ensemble selection using balanced normalized mutual information

Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries

An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization

Deep neural network as deep feature learner

Estimation of parameters of logistic regression for two-stage randomized response technique

Dealing with Imbalanced Dataset Leveraging Boundary Samples Discovered by Support Vector Data Description

Zero-inflated probit Bernoulli model: a new model for binary data

Cluster ensemble of valid small clusters

Numerical function optimization by conditionalized PSO algorithm

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