Hyperparameter optimization: Comparing genetic algorithm against grid search and bayesian optimization

H Alibrahim, SA Ludwig - 2021 IEEE Congress on Evolutionary …, 2021 - ieeexplore.ieee.org
The performance of machine learning algorithms are affected by several factors, some of
these factors are related to data quantity, quality, or its features. Another element is the …

Towards benchmark datasets for machine learning based website phishing detection: An experimental study

A Hannousse, S Yahiouche - Engineering Applications of Artificial …, 2021 - Elsevier
The increasing popularity of the Internet led to a substantial growth of e-commerce.
However, such activities have main security challenges primary caused by cyberfraud and …

On-board volcanic eruption detection through cnns and satellite multispectral imagery

MP Del Rosso, A Sebastianelli, D Spiller, PP Mathieu… - Remote Sensing, 2021 - mdpi.com
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of
studies including their applicability in a variety of different scenarios. Among all, one of the …

An improved hybrid approach for handling class imbalance problem

AS Desuky, S Hussain - Arabian journal for science and engineering, 2021 - Springer
Class imbalance issue that presents in many real-world datasets exhibit favouritism toward
the majority class and showcases poor performance for the minority class. Such …

Toward hierarchical classification of imbalanced data using random resampling algorithms

RM Pereira, YMG Costa, CN Silla Jr - Information Sciences, 2021 - Elsevier
Although the class imbalance issue affects hierarchical datasets, the literature has few
studies that deal with it, especially when it comes to methods to pre-process the training …

Wind turbine fault detection using highly imbalanced real SCADA data

C Velandia-Cardenas, Y Vidal, F Pozo - Energies, 2021 - mdpi.com
Wind power is cleaner and less expensive compared to other alternative sources, and it has
therefore become one of the most important energy sources worldwide. However …

Cultural evolution and digital media: diffusion of fake news about COVID-19 on Twitter

DVB de Oliveira, UP Albuquerque - SN computer science, 2021 - Springer
Disinformation (fake news) is a major problem that affects modern populations, especially in
an era when information can be spread from one corner of the world to another in just one …

A dense neural network approach for detecting clone id attacks on the rpl protocol of the iot

CD Morales-Molina, A Hernandez-Suarez… - Sensors, 2021 - mdpi.com
At present, new data sharing technologies, such as those used in the Internet of Things (IoT)
paradigm, are being extensively adopted. For this reason, intelligent security controls have …

Handling data imbalance in predictive maintenance for machines using SMOTE-based oversampling

S Sridhar, S Sanagavarapu - 2021 13th International …, 2021 - ieeexplore.ieee.org
The identification of failures and defects in industrial machines has proven to be a challenge
to gauge their warranty and performance. Depreciation in industrial machines occurs due to …

Noise avoidance SMOTE in ensemble learning for imbalanced data

K Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Class imbalance is a common problem in many real-world applications. To deal with class
imbalance, several techniques, including resampling and ensemble approaches, have been …