Hossein Moosaei

Orcid: 0000-0002-0640-2161

According to our database1, Hossein Moosaei authored at least 38 papers between 2008 and 2024.

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Bibliography

2024
An introduction to robust data analysis and its applications.
Ann. Oper. Res., August, 2024

Characterization of unique solvability of absolute value equations: an overview, extensions, and future directions.
Optim. Lett., May, 2024

Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection.
Expert Syst. Appl., 2024

Multi-task twin support vector machine with Universum data.
Eng. Appl. Artif. Intell., 2024

A review of Explainable Artificial Intelligence in healthcare.
Comput. Electr. Eng., 2024

2023
Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space.
Comput. Oper. Res., December, 2023

Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection.
Neural Networks, September, 2023

A lagrangian-based approach for universum twin bounded support vector machine with its applications.
Ann. Math. Artif. Intell., June, 2023

Sparse L1-norm quadratic surface support vector machine with Universum data.
Soft Comput., May, 2023

Some notes on the solvability conditions for absolute value equations.
Optim. Lett., 2023

Inverse free reduced universum twin support vector machine for imbalanced data classification.
Neural Networks, 2023

A Brief Review of Explainable Artificial Intelligence in Healthcare.
CoRR, 2023

Augmented Lagrangian Method for Linear Programming Using Smooth Approximation.
Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023

2022
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm.
Appl. Intell., 2022

Least squares approach to K-SVCR multi-class classification with its applications.
Ann. Math. Artif. Intell., 2022

Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021
On the minimum-norm solution of convex quadratic programming.
RAIRO Oper. Res., 2021

Generalized Twin Support Vector Machines.
Neural Process. Lett., 2021

On the Optimal Correction of Infeasible Systems of Linear Inequalities.
J. Optim. Theory Appl., 2021

Optimal correction of the absolute value equations.
J. Glob. Optim., 2021

Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.
CoRR, 2021

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021

Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification.
CoRR, 2021

Inverse Free Universum Twin Support Vector Machine.
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

2020
Absolute value equations with uncertain data.
Optim. Lett., 2020

DC programming and DCA for parametric-margin ν-support vector machine.
Appl. Intell., 2020

Least Squares K-SVCR Multi-class Classification.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

2019
Learning Wireless Sensor Networks for Source Localization.
Sensors, 2019

An improvement on parametric $$\nu $$ ν -support vector algorithm for classification.
Ann. Oper. Res., 2019

2017
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.
Comput. Methods Programs Biomed., 2017

2015
Some techniques for solving absolute value equations.
Appl. Math. Comput., 2015

2013
Optimal error correction of the absolute value equation using a genetic algorithm.
Math. Comput. Model., 2013

2012
Computing minimum norm solution of a specific constrained convex nonlinear problem.
Kybernetika, 2012

Minimum Norm Solution to the Absolute Value Equation in the Convex Case.
J. Optim. Theory Appl., 2012

Optimal Error Correction and Methods of Feasible Directions.
J. Optim. Theory Appl., 2012

An efficient method for optimal correcting of absolute value equations by minimal changes in the right hand side.
Comput. Math. Appl., 2012

2008
A new restarting method in the harmonic projection algorithm for computing the eigenvalues of a nonsymmetric matrix.
Appl. Math. Comput., 2008


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