M. A. Ganaie

Orcid: 0000-0002-3986-4434

According to our database1, M. A. Ganaie authored at least 35 papers between 2019 and 2024.

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Bibliography

2024
Brain age prediction using improved twin SVR.
Neural Comput. Appl., January, 2024

EEG signal classification using improved intuitionistic fuzzy twin support vector machines.
Neural Comput. Appl., January, 2024

2023
EEG signal classification via pinball universum twin support vector machine.
Ann. Oper. Res., September, 2023

Deep learning for brain age estimation: A systematic review.
Inf. Fusion, August, 2023

Random vector functional link network: Recent developments, applications, and future directions.
Appl. Soft Comput., August, 2023

Brain Age Prediction With Improved Least Squares Twin SVR.
IEEE J. Biomed. Health Informatics, April, 2023

Diagnosis of Schizophrenia: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, March, 2023

Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.
IEEE Trans. Cybern., 2023

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

Ensemble deep learning in speech signal tasks: A review.
Neurocomputing, 2023

Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning.
CoRR, 2023

Heterogeneous Oblique Double Random Forest.
CoRR, 2023

2022
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning.
IEEE J. Biomed. Health Informatics, 2022

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, 2022

Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning.
IEEE Trans. Fuzzy Syst., 2022

Oblique and rotation double random forest.
Neural Networks, 2022

Large-scale pinball twin support vector machines.
Mach. Learn., 2022

KNN weighted reduced universum twin SVM for class imbalance learning.
Knowl. Based Syst., 2022

Ensemble deep learning: A review.
Eng. Appl. Artif. Intell., 2022

Graph embedded intuitionistic fuzzy weighted random vector functional link network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information.
Proceedings of the International Joint Conference on Neural Networks, 2022

Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Intuitionistic Fuzzy Universum Support Vector Machine.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Ensemble deep learning: A review.
CoRR, 2021

Ensemble of classification models with weighted functional link network.
Appl. Soft Comput., 2021

Fuzzy least squares projection twin support vector machines for class imbalance learning.
Appl. Soft Comput., 2021

A Novel Ensemble Method of RVFL For Classification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2021

Co-Trained Random Vector Functional Link Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Oblique Decision Tree Ensemble via Twin Bounded SVM.
Expert Syst. Appl., 2020

Identification of Chimera using Machine Learning.
CoRR, 2020

LSTSVM classifier with enhanced features from pre-trained functional link network.
Appl. Soft Comput., 2020

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Minimum Variance Embedded Random Vector Functional Link Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Improved Sparse Pinball Twin SVM.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019


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