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About

Hossein Moosaei serves as Associate Professor in the Department of Mathematics at University of Bojnord. Additionally, he is currently working as a Researcher at the School of Computer Science at Charles University in Prague and working with Dr Milan Hladík. Moreover, he was Visiting Scholar at the Center for Applied Optimization in the Department of Industrial and Systems Engineering at University of Florida (USA) under the supervision of Distinguished Professor Panos M. Pardalos. His current research interests include optimization and its applications, machine learning, biomedical applications, numerical analysis, numerical linear algebra and scientific computing.

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Experience

Associate Professor

University of Bojnord (UB)

Mar-2013 to Present

Publication

  • dott image August, 2024

Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection

In data analysis, when attempting to solve classification problems, we may encounter a large number of features. However, not all features are relevant for the current classification, and in...

An introduction to robust data analysis and its applications

In the era of burgeoning data science, the application of robust methodologies for data analysis has become paramount across various crucial domains, including healthcare systems, financial ...

An Overview of Absolute Value Equations: From Theory to Solution Methods and Challenges

Journal : arxiv math

This paper provides a thorough exploration of the absolute value equations Ax−|x|=b, a seemingly straightforward concept that has gained heightened attention in recent years. It is an NP-h...

An improved multi-task least squares twin support vector machine

In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge across tasks in MTL can improve the perform...

A Brief Review of Explainable Artificial Intelligence in Healthcare

XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-stakes decisi...

  • dott image January, 2019

Absolute value equations with uncertain data

Absolute value equations (AVE) provide a useful tool for optimization as they subsume many mathematical programming problems. However, in some applications, it is difficult to determine the ...

  • dott image December, 2017

An improvement on parametric V -support vector algorithm for classification

One effective technique that has recently been considered for solving classification problems is parametric V-support vector regression. This method obtains a concurrent learning framework f...

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S9-122024-1106628

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