Stop oversampling for class imbalance learning: A review
For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …
learning from imbalanced datasets. Many approaches to solving this challenge have been …
Diagnosis of cervical cancer and pre-cancerous lesions by artificial intelligence: a systematic review
L Allahqoli, AS Laganà, A Mazidimoradi, H Salehiniya… - Diagnostics, 2022 - mdpi.com
Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
Rdpvr: Random data partitioning with voting rule for machine learning from class-imbalanced datasets
Since most classifiers are biased toward the dominant class, class imbalance is a
challenging problem in machine learning. The most popular approaches to solving this …
challenging problem in machine learning. The most popular approaches to solving this …
CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique
Besides the inherent benefits of exchanging information and interactions between nodes on
a social graph, they can also become a means for the propagation of knowledge. Social …
a social graph, they can also become a means for the propagation of knowledge. Social …
Smotefuna: Synthetic minority over-sampling technique based on furthest neighbour algorithm
Class imbalance occurs in classification problems in which the “normal” cases, or instances,
significantly outnumber the “abnormal” instances. Training a standard classifier on …
significantly outnumber the “abnormal” instances. Training a standard classifier on …
Deepknuckle: Deep learning for finger knuckle print recognition
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
Stock price forecasting for jordan insurance companies amid the covid-19 pandemic utilizing off-the-shelf technical analysis methods
One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …
the forecasting and predicting of financial time series. However, several efforts were made to …
[HTML][HTML] Ultrasonic assessment of cement-stabilized soils: Deep learning experimental results
Soil–cement materials are widely used in civil engineering. Previous studies described
problems related to errors in ultrasonic measurements of the unconfined compressive …
problems related to errors in ultrasonic measurements of the unconfined compressive …
Predicting compressive strength of cement-stabilized rammed earth based on SEM images using computer vision and deep learning
Predicting the compressive strength of cement-stabilized rammed earth (CSRE) using
current testing machines is time-consuming and costly and may harm the environment due …
current testing machines is time-consuming and costly and may harm the environment due …
A simulation model for forecasting covid-19 pandemic spread: Analytical results based on the current saudi Covid-19 data
The coronavirus pandemic (COVID-19) spreads worldwide during the first half of 2020. As is
the case for all countries, the Kingdom of Saudi Arabia (KSA), where the number of reported …
the case for all countries, the Kingdom of Saudi Arabia (KSA), where the number of reported …