A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset
T Liu, W Fan, C Wu - Artificial intelligence in medicine, 2019 - Elsevier
Abstract Background and Objective Cerebral stroke has become a significant global public
health issue in recent years. The ideal solution to this concern is to prevent in advance by …
health issue in recent years. The ideal solution to this concern is to prevent in advance by …
MI-MOTE: Multiple imputation-based minority oversampling technique for imbalanced and incomplete data classification
Class imbalance and data incompleteness problems occur simultaneously in many real-
world classification datasets, which negatively affects the training of classifiers. Given an …
world classification datasets, which negatively affects the training of classifiers. Given an …
[PDF][PDF] An empirical comparison of missing value imputation techniques on APS failure prediction
S Rafsunjani, RS Safa, A Al Imran… - International Journal of …, 2019 - academia.edu
The Air Pressure System (APS) is a type of function used in heavy vehicles to assist braking
and gear changing. The APS failure dataset consists of the daily operational sensor data …
and gear changing. The APS failure dataset consists of the daily operational sensor data …
An integrated novel framework for co** missing values imputation and classification
M Jena, S Dehuri - IEEE Access, 2022 - ieeexplore.ieee.org
This work presents an integrated framework for imputation of missing values and prediction
of class label of unseen samples by using the best features of rule based inductive decision …
of class label of unseen samples by using the best features of rule based inductive decision …
Detecting APS failures using LSTM-AE and anomaly transformer enhanced with human expert analysis
This study develops a novel semi-supervised approach for detecting Air Pressure System
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …
Broad embedded logistic regression classifier for prediction of air pressure systems failure
In recent years, the latest maintenance modelling techniques that adopt the data-based
method, such as machine learning (ML), have brought about a broad range of useful …
method, such as machine learning (ML), have brought about a broad range of useful …
An Explainable AI approach for detecting failures in air pressure systems
Abstract The Air Pressure System (APS) plays a crucial role in heavy-duty vehicles (HDVs),
supplying pressurized air to essential subsystems such as braking and suspension. APS …
supplying pressurized air to essential subsystems such as braking and suspension. APS …
An improved random forest algorithm for classification in an imbalanced dataset
C Jose, G Gopakumar - 2019 URSI Asia-Pacific Radio Science …, 2019 - ieeexplore.ieee.org
Nowadays machine learning algorithms are being used extensively in industrial
applications. Many a times these algorithms are modified and fine tuned so as to improve …
applications. Many a times these algorithms are modified and fine tuned so as to improve …
[HTML][HTML] Evaluating machine learning classification using sorted missing percentage technique based on missing data
Missing data are common in industrial sensor readings owing to system updates and
unequal radio-frequency periods. Existing methods addressing missing data through …
unequal radio-frequency periods. Existing methods addressing missing data through …
Averaging versus voting: A comparative study of strategies for distributed classification.
In this paper we proposed two strategies, averaging and voting, to implement distributed
classification via the divide and conquer approach. When a data set is too big to be …
classification via the divide and conquer approach. When a data set is too big to be …