[HTML][HTML] A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …
belonging to one class is lower than the other. Ensemble learning combines multiple models …
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales
Existing sales forecasting models are not comprehensive and flexible enough to consider
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
Ensemble learning for the early prediction of neonatal jaundice with genetic features
Background Neonatal jaundice may cause severe neurological damage if poorly evaluated
and diagnosed when high bilirubin occurs. The study explored how to effectively integrate …
and diagnosed when high bilirubin occurs. The study explored how to effectively integrate …
A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices
R Sibindi, RW Mwangi, AG Waititu - Engineering Reports, 2023 - Wiley Online Library
The implementation of tree‐ensemble models has become increasingly essential in solving
classification and prediction problems. Boosting ensemble techniques have been widely …
classification and prediction problems. Boosting ensemble techniques have been widely …
PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning
A Gupta, R Katarya - Computers in biology and medicine, 2021 - Elsevier
The recent outbreak of novel Coronavirus disease or COVID-19 is declared a pandemic by
the World Health Organization (WHO). The availability of social media platforms has played …
the World Health Organization (WHO). The availability of social media platforms has played …
The role of textual analysis in oil futures price forecasting based on machine learning approach
X Gong, K Guan, Q Chen - Journal of Futures Markets, 2022 - Wiley Online Library
This paper offers an innovative approach to capture the trend of oil futures prices based on
the text‐based news. By adopting natural language processing techniques, the text features …
the text‐based news. By adopting natural language processing techniques, the text features …
How can entrepreneurs improve digital market segmentation? A comparative analysis of supervised and unsupervised learning algorithms
The identification of digital market segments to make value-creating propositions is a major
challenge for entrepreneurs and marketing managers. New technologies and the Internet …
challenge for entrepreneurs and marketing managers. New technologies and the Internet …
Early prediction of sepsis based on machine learning algorithm
X Zhao, W Shen, G Wang - Computational Intelligence and …, 2021 - Wiley Online Library
Sepsis is an organ failure disease caused by an infection resulting in extremely high
mortality. Machine learning algorithms XGBoost and LightGBM are applied to construct two …
mortality. Machine learning algorithms XGBoost and LightGBM are applied to construct two …
A study on gradient boosting algorithms for development of AI monitoring and prediction systems
Data-driven predictive maintenance for the prediction of machine failure has been widely
studied and performed to test machine failures. Predictive maintenance refers to the …
studied and performed to test machine failures. Predictive maintenance refers to the …
Credit card fraud detection using ensemble data mining methods
S Bakhtiari, Z Nasiri, J Vahidi - Multimedia Tools and Applications, 2023 - Springer
Nowadays, credit card fraud has become one of the most complex and vital issues in the
world, even more than the past decades. Widespread use of credit cards is one of the most …
world, even more than the past decades. Widespread use of credit cards is one of the most …