A survey on missing data in machine learning
Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …
from data and often a problem of missing values is encountered. Missing values occur …
Battery prognostics and health management from a machine learning perspective
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and …
Ensembles, especially ensembles of decision trees, are one of the most popular and
successful techniques in machine learning. Recently, the number of ensemble-based …
successful techniques in machine learning. Recently, the number of ensemble-based …
Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view
O Loyola-Gonzalez - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays, in the international scientific community of machine learning, there exists an
enormous discussion about the use of black-box models or explainable models; especially …
enormous discussion about the use of black-box models or explainable models; especially …
Machine learning for predicting battery capacity for electric vehicles
Predicting the evolution of multiphysics battery systems face severe challenges, including
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …
[HTML][HTML] An effective ensemble deep learning framework for text classification
A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2022 - Elsevier
Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …
models in a variety of text classification tasks. The primary challenge with text classification …
XSleepNet: Multi-view sequential model for automatic sleep staging
Automating sleep staging is vital to scale up sleep assessment and diagnosis to serve
millions experiencing sleep deprivation and disorders and enable longitudinal sleep …
millions experiencing sleep deprivation and disorders and enable longitudinal sleep …
Stock market prediction using machine learning classifiers and social media, news
Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …
driven by volatile factors such as microblogs and news that make it hard to predict stock …
[HTML][HTML] Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990 …
GBD 2016 Risk Factors Collaborators - Lancet (London, England …, 2017 - ncbi.nlm.nih.gov
Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD
2016) provides a comprehensive assessment of risk factor exposure and attributable burden …
2016) provides a comprehensive assessment of risk factor exposure and attributable burden …
[图书][B] Data mining: the textbook
CC Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …
complex data types and their applications, capturing the wide diversity of problem domains …