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09/05/2023
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
In the domain of machine learning algorithms, the significance of the lo...
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07/15/2023
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
In the realm of data classification, broad learning system (BLS) has pro...
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07/15/2023
Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning
The domain of machine learning is confronted with a crucial research are...
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04/13/2023
Heterogeneous Oblique Double Random Forest
The decision tree ensembles use a single data feature at each node for s...
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01/16/2023
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Schizophrenia (SCZ) is a brain disorder where different people experienc...
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12/07/2022
Deep Learning for Brain Age Estimation: A Systematic Review
Over the years, Machine Learning models have been successfully employed ...
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11/09/2022
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications
In the human brain, essential iron molecules for proper neurological fun...
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11/05/2022
Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier
Structural alterations have been thoroughly investigated in the brain du...
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09/18/2022
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
Recently, distributed semi-supervised learning (DSSL) algorithms have sh...
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03/23/2022
Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning
Alzheimer's Disease (AD) is a neurodegenerative disease that is one of t...
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03/22/2022
Diagnosis of Schizophrenia: A comprehensive evaluation
Machine learning models have been successfully employed in the diagnosis...
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02/13/2022
Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domain such a...
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11/03/2021
Oblique and rotation double random forest
An ensemble of decision trees is known as Random Forest. As suggested by...
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05/01/2021
Comprehensive Review On Twin Support Vector Machines
Twin support vector machine (TSVM) and twin support vector regression (T...
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04/06/2021
Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better ge...
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01/16/2020
Identification of Chimera using Machine Learning
Coupled dynamics on the network models have been tremendously helpful in...
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06/30/2019
Random Vector Functional Link Neural Network based Ensemble Deep Learning
In this paper, we propose a deep learning framework based on randomized ...
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04/13/2019
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based
Kernel method-based one-class classifier is mainly used for outlier or n...
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04/13/2019
