2.2k citations · 2.9k across the 8 of their papers we have counts for
9 papers
Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
A. Quadir, M. A. Ganaie, M. Tanveer
Generalized eigenvalue proximal support vector machine (GEPSVM) has attracted widespread attention due to its simple architecture, rapid execution, and commendable performance. GEP…
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
M. A. Ganaie, M. Sajid, A. K. Malik +1
The domain of machine learning is confronted with a crucial research area known as class imbalance learning, which presents considerable hurdles in precise classification of minori…
Heterogeneous Oblique Double Random Forest
M. A. Ganaie, M. Tanveer, I. Beheshti +2
The decision tree ensembles use a single data feature at each node for splitting the data. However, splitting in this manner may fail to capture the geometric properties of the dat…
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
Over the years, Machine Learning models have been successfully employed on neuroimaging data for accurately predicting brain age. Deviations from the healthy brain aging pattern ar…
Diagnosis of Schizophrenia: A comprehensive evaluation
M. Tanveer, Jatin Jangir, M. A. Ganaie +3
Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the d…
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative appr…
Comprehensive Review On Twin Support Vector Machines
M. Tanveer, T. Rajani, R. Rastogi +2
Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly emerging efficient machine learning techniques which offer promising solutions for classific…
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to…
Identification of Chimera using Machine Learning
M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola +2
Chimera state refers to coexistence of coherent and non-coherent phases in identically coupled dynamical units found in various complex dynamical systems. Identification of Chimera…