Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Generating ensembles of heterogeneous classifiers using stacked generalization
MP Sesmero, AI Ledezma… - … reviews: data mining and …, 2015 - Wiley Online Library
Over the last two decades, the machine learning and related communities have conducted
numerous studies to improve the performance of a single classifier by combining several …
numerous studies to improve the performance of a single classifier by combining several …
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
The separation of malignant from benign lung nodules on chest computed tomography (CT)
is important for the early detection of lung cancer, since early detection and management …
is important for the early detection of lung cancer, since early detection and management …
A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets
The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve
continuous mechanical engineering design problems with a considerable balance of the …
continuous mechanical engineering design problems with a considerable balance of the …
Ensemble classification based on supervised clustering for credit scoring
H Xiao, Z Xiao, Y Wang - Applied Soft Computing, 2016 - Elsevier
Credit scoring aims to assess the risk associated with lending to individual consumers.
Recently, ensemble classification methodology has become popular in this field. However …
Recently, ensemble classification methodology has become popular in this field. However …
Improving positioning accuracy of vehicular navigation system during GPS outages utilizing ensemble learning algorithm
J Li, N Song, G Yang, M Li, Q Cai - Information Fusion, 2017 - Elsevier
Recently, methods based on Artificial Intelligence (AI) have been widely used to improve
positioning accuracy for land vehicle navigation by integrating the Global Positioning …
positioning accuracy for land vehicle navigation by integrating the Global Positioning …
One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies
L Zhou, Q Wang, H Fujita - Information Fusion, 2017 - Elsevier
Most existing research has demonstrated the success of different decomposition and
ensemble strategies for solving multi-class classification problems. This study proposes a …
ensemble strategies for solving multi-class classification problems. This study proposes a …
Monkeypox diagnosis using ensemble classification
The world has recently been exposed to a fierce attack from many viral diseases, such as
Covid-19, that exhausted medical systems around the world. Such attack had a negative …
Covid-19, that exhausted medical systems around the world. Such attack had a negative …
Posterior probability based ensemble strategy using optimizing decision directed acyclic graph for multi-class classification
L Zhou, H Fujita - Information Sciences, 2017 - Elsevier
Ensemble strategy is important to develop a decomposition and ensemble method for multi-
class classification problems. Most existing ensemble strategies use predetermined and …
class classification problems. Most existing ensemble strategies use predetermined and …
Artificial neural network ensembles for fatigue damage detection in aircraft
Z Dworakowski, K Dragan… - Journal of Intelligent …, 2017 - journals.sagepub.com
Neural networks are commonly recognized tools for the classification of multidimensional
data obtained in structural health monitoring (SHM) systems. Their configuration for a given …
data obtained in structural health monitoring (SHM) systems. Their configuration for a given …