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An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting

Journal of Statistical Theory and Applications, 2023-12, Vol.22 (4), p.262-282

2023

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Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-12

2022

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A Real Data-Driven Clustering Approach for Countries Based on Happiness Score

Amfiteatru economic, 2021-11, Vol.23 (SI 15), p.1031-1045

2021

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Probability Distributions for Modeling Stock Market Returns—An Empirical Inquiry

International journal of financial studies, 2024-06, Vol.12 (2), p.43

2024

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A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States

Journal of Statistical Theory and Applications, 2020-03, Vol.19 (1), p.10-20

2020

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Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering

Journal of statistical theory and applications, 2018-09, Vol.17 (3), p.462-477

2018

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Automatic object detection using dynamic time warping on ground penetrating radar signals

Expert systems with applications, 2019-05, Vol.122, p.102-107

2019

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Random eye state change detection in real-time using EEG signals

Expert systems with applications, 2017-04, Vol.72, p.42-48

2017

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The Joy of Finite Mathematics: The Language and Art of Math

1, 2015

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Stochastic Differential Games: Theory and Applications

2012 edition., 2012

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A modern approach of survival analysis of patients with pancreatic cancer

American journal of cancer research, 2021-01, Vol.11 (10), p.4725-4745

2021

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Mathematical Statistics with Applications in R

3rd edition., 2020

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Transmuted Weibull distribution: a generalization of the Weibull probability distribution

European journal of pure and applied mathematics, 2011, Vol.4 (2), p.89-102

2011

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Two Artificial Neural Networks for Modeling Discrete Survival Time of Censored Data

Advances in artificial intelligence, 2015-01, Vol.2015, p.1-7

2015

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Real‐time object detection using power spectral density of ground‐penetrating radar data

Structural control and health monitoring, 2019-06, Vol.26 (6), p.e2354-n/a

2019

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Mathematical Statistics with Applications in R

2, 2014

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Bayesian Joinpoint Regression Model for Childhood Brain Cancer Mortality

Journal of modern applied statistical methods, 2013-11, Vol.12 (2), p.358-370

2013

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Differential equation model of carbon dioxide emission using functional linear regression

Journal of applied statistics, 2019-05, Vol.46 (7), p.1246-1259

2019

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Common spatial pattern method for real-time eye state identification by using electroencephalogram signals

IET signal processing, 2017-10, Vol.11 (8), p.936-941

2017

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Bayesian Theory and Methods with Applications

1st Edition. edition., 2011

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SENSITIVITY OF THE BAYESIAN RELIABILITY ESTIMATES FOR THE MODIFIED GUMBEL FAILURE MODEL

International journal of reliability, quality, and safety engineering, 2009-08, Vol.16 (4), p.331-341

2009

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Improved parameter estimation of Time Dependent Kernel Density by using Artificial Neural Networks

The Journal of finance and data science, 2018-09, Vol.4 (3), p.172-182

2018

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The Theory and Applications of Reliability with Emphasis on Bayesian and Nonparametric Methods

Tsokos, Chris

1, 1977

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Reliability Models Using the Composite Generalizers of Weibull Distribution

Annals of data science, 2019-12, Vol.6 (4), p.807-829

2019

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An Analytical Approach to Assess and Compare the Vulnerability Risk of Operating Systems

International journal of computer network and information security, 2020-04, Vol.12 (2), p.1-10

2020

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An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

A Real Data-Driven Clustering Approach for Countries Based on Happiness Score

Probability Distributions for Modeling Stock Market Returns—An Empirical Inquiry

A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States

Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering

Automatic object detection using dynamic time warping on ground penetrating radar signals

Random eye state change detection in real-time using EEG signals

The Joy of Finite Mathematics: The Language and Art of Math

Stochastic Differential Games: Theory and Applications

A modern approach of survival analysis of patients with pancreatic cancer

Mathematical Statistics with Applications in R

Transmuted Weibull distribution: a generalization of the Weibull probability distribution

Two Artificial Neural Networks for Modeling Discrete Survival Time of Censored Data

Real‐time object detection using power spectral density of ground‐penetrating radar data

Mathematical Statistics with Applications in R

Bayesian Joinpoint Regression Model for Childhood Brain Cancer Mortality

Differential equation model of carbon dioxide emission using functional linear regression

Common spatial pattern method for real-time eye state identification by using electroencephalogram signals

Bayesian Theory and Methods with Applications

SENSITIVITY OF THE BAYESIAN RELIABILITY ESTIMATES FOR THE MODIFIED GUMBEL FAILURE MODEL

Improved parameter estimation of Time Dependent Kernel Density by using Artificial Neural Networks

The Theory and Applications of Reliability with Emphasis on Bayesian and Nonparametric Methods

Reliability Models Using the Composite Generalizers of Weibull Distribution

An Analytical Approach to Assess and Compare the Vulnerability Risk of Operating Systems

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