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ORCIDHossein Moosaei
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2020 – today
- 2024
[j29]Panos M. Pardalos, Hossein Moosaei, Milan Hladík, M. Tanveer:
An introduction to robust data analysis and its applications. Ann. Oper. Res. 339(3): 1073-1075 (2024)- [j28]Zahra Sadeghi, Roohallah Alizadehsani
, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j27]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík:
Multi-task twin support vector machine with Universum data. Eng. Appl. Artif. Intell. 132: 107951 (2024) - [j26]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík, Panos M. Pardalos:
Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection. Expert Syst. Appl. 248: 123378 (2024) - [j25]Shubham Kumar, Deepmala, Milan Hladík, Hossein Moosaei:
Characterization of unique solvability of absolute value equations: an overview, extensions, and future directions. Optim. Lett. 18(4): 889-907 (2024) - [e1]Hossein Moosaei, Milan Hladík, Panos M. Pardalos:
Dynamics of Information Systems - 6th International Conference, DIS 2023, Prague, Czech Republic, September 3-6, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14321, Springer 2024, ISBN 978-3-031-50319-1 [contents] - 2023
- [j24]Hossein Moosaei, Milan Hladík:
A lagrangian-based approach for universum twin bounded support vector machine with its applications. Ann. Math. Artif. Intell. 91(2-3): 109-131 (2023) - [j23]Hossein Moosaei, Milan Hladík, Mohamad Razzaghi, Saeed Ketabchi:
Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space. Comput. Oper. Res. 160: 106370 (2023) - [j22]Hossein Moosaei, M. A. Ganaie, Milan Hladík, Muhammad Tanveer:
Inverse free reduced universum twin support vector machine for imbalanced data classification. Neural Networks 157: 125-135 (2023) - [j21]Hossein Moosaei, Milan Hladík:
Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection. Neural Networks 166: 471-486 (2023) - [j20]Milan Hladík, Hossein Moosaei:
Some notes on the solvability conditions for absolute value equations. Optim. Lett. 17(1): 211-218 (2023) - [j19]Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse L1-norm quadratic surface support vector machine with Universum data. Soft Comput. 27(9): 5567-5586 (2023) - [c5]Hossein Moosaei, Saeed Ketabchi, Mujahid N. Syed, Fatemeh Bazikar:
Augmented Lagrangian Method for Linear Programming Using Smooth Approximation. DIS 2023: 186-193 - [i5]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - 2022
- [j18]Hossein Moosaei, Milan Hladík:
Least squares approach to K-SVCR multi-class classification with its applications. Ann. Math. Artif. Intell. 90(7-9): 873-892 (2022) - [j17]Hossein Moosaei, Fatemeh Bazikar, Saeed Ketabchi, Milan Hladík:
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm. Appl. Intell. 52(3): 2634-2654 (2022) - [c4]Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík:
Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function. LION 2022: 27-39 - [c3]Hossein Moosaei, Milan Hladík:
Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model. LION 2022: 136-144 - [i4]Hossein Moosaei, Fatemeh Bazikar, Milan Hladík:
Multi-task twin support vector machine with Universum data. CoRR abs/2206.10978 (2022) - 2021
- [j16]Hossein Moosaei, Saeed Ketabchi, Milan Hladík:
Optimal correction of the absolute value equations. J. Glob. Optim. 79(3): 645-667 (2021) - [j15]Hossein Moosaei, Milan Hladík:
On the Optimal Correction of Infeasible Systems of Linear Inequalities. J. Optim. Theory Appl. 190(1): 32-55 (2021) - [j14]Hossein Moosaei, Saeed Ketabchi, Mohamad Razzaghi, Muhammad Tanveer:
Generalized Twin Support Vector Machines. Neural Process. Lett. 53(2): 1545-1564 (2021) - [j13]Saeed Ketabchi, Hossein Moosaei, Milan Hladík:
On the minimum-norm solution of convex quadratic programming. RAIRO Oper. Res. 55(1): 247-260 (2021) - [c2]Hossein Moosaei, Milan Hladík:
Inverse Free Universum Twin Support Vector Machine. LION 2021: 252-264 - [i3]Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao:
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification. CoRR abs/2104.01331 (2021) - [i2]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i1]Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - 2020
- [j12]Fatemeh Bazikar, Saeed Ketabchi, Hossein Moosaei:
DC programming and DCA for parametric-margin ν-support vector machine. Appl. Intell. 50(6): 1763-1774 (2020) - [j11]Mohammad A. Raayatpanah, Hossein Moosaei, Panos M. Pardalos:
Absolute value equations with uncertain data. Optim. Lett. 14(5): 1145-1156 (2020) - [c1]Hossein Moosaei, Milan Hladík:
Least Squares K-SVCR Multi-class Classification. LION 2020: 117-127
2010 – 2019
- 2019
- [j10]Saeed Ketabchi, Hossein Moosaei, Mohamad Razzaghi, Panos M. Pardalos:
An improvement on parametric $$\nu $$ ν -support vector algorithm for classification. Ann. Oper. Res. 276(1-2): 155-168 (2019) - [j9]S. Hamed Javadi, Hossein Moosaei, Domenico Ciuonzo:
Learning Wireless Sensor Networks for Source Localization. Sensors 19(3): 635 (2019) - 2017
- [j8]Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard:
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. Comput. Methods Programs Biomed. 141: 19-26 (2017) - 2015
- [j7]Hossein Moosaei, Saeed Ketabchi, Muhammad Aslam Noor, Javed Iqbal, Vahideh Hooshyarbakhsh:
Some techniques for solving absolute value equations. Appl. Math. Comput. 268: 696-705 (2015) - 2013
- [j6]Saeed Ketabchi, Hossein Moosaei, Saeed Fallahi:
Optimal error correction of the absolute value equation using a genetic algorithm. Math. Comput. Model. 57(9-10): 2339-2342 (2013) - 2012
- [j5]Saeed Ketabchi, Hossein Moosaei:
An efficient method for optimal correcting of absolute value equations by minimal changes in the right hand side. Comput. Math. Appl. 64(6): 1882-1885 (2012) - [j4]Saeed Ketabchi, Hossein Moosaei:
Optimal Error Correction and Methods of Feasible Directions. J. Optim. Theory Appl. 154(1): 209-216 (2012) - [j3]Saeed Ketabchi, Hossein Moosaei:
Minimum Norm Solution to the Absolute Value Equation in the Convex Case. J. Optim. Theory Appl. 154(3): 1080-1087 (2012) - [j2]Saeed Ketabchi, Hossein Moosaei:
Computing minimum norm solution of a specific constrained convex nonlinear problem. Kybernetika 48(1): 123-129 (2012)
2000 – 2009
- 2008
- [j1]Hashem Saberi Najafi, Hossein Moosaei:
A new restarting method in the harmonic projection algorithm for computing the eigenvalues of a nonsymmetric matrix. Appl. Math. Comput. 198(1): 143-149 (2008)
Coauthor Index
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