Transfer learning: a friendly introduction
Infinite numbers of real-world applications use Machine Learning (ML) techniques to
develop potentially the best data available for the users. Transfer learning (TL), one of the …
develop potentially the best data available for the users. Transfer learning (TL), one of the …
A survey on data‐efficient algorithms in big data era
A Adadi - Journal of Big Data, 2021 - Springer
The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …
many application domains do not have access to big data because acquiring data involves a …
A novel community detection based genetic algorithm for feature selection
The feature selection is an essential data preprocessing stage in data mining. The core
principle of feature selection seems to be to pick a subset of possible features by excluding …
principle of feature selection seems to be to pick a subset of possible features by excluding …
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
RM Aziz - Medical & Biological Engineering & Computing, 2022 - Springer
Identifying a small subset of informative genes from a gene expression dataset is an
important process for sample classification in the fields of bioinformatics and machine …
important process for sample classification in the fields of bioinformatics and machine …
Machine learning-based IoT system for COVID-19 epidemics
The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is
predictable that the world will be fighting the pandemic by taking precautions steps before …
predictable that the world will be fighting the pandemic by taking precautions steps before …
AraXLNet: pre-trained language model for sentiment analysis of Arabic
A Alduailej, A Alothaim - Journal of Big Data, 2022 - Springer
The Arabic language is a complex language with little resources; therefore, its limitations
create a challenge to produce accurate text classification tasks such as sentiment analysis …
create a challenge to produce accurate text classification tasks such as sentiment analysis …
Diagnosis of malaria disease by integrating chi-square feature selection algorithm with convolutional neural networks and autoencoder network
A Çalışkan - Transactions of the Institute of Measurement …, 2023 - journals.sagepub.com
Malaria is a febrile illness caused by a parasite called plasmodium. This life-threatening
disease is preventable and treatable if diagnosed early. The World Health Organization …
disease is preventable and treatable if diagnosed early. The World Health Organization …
The use of knowledge extraction in predicting customer churn in B2B
AA Jamjoom - Journal of Big Data, 2021 - Springer
Data mining techniques were used to investigate the use of knowledge extraction in
predicting customer churn in insurance companies. Data were included from a health …
predicting customer churn in insurance companies. Data were included from a health …
Dlrfnet: deep learning with random forest network for classification and detection of malaria parasite in blood smear
In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
Future trends in mechatronics
Presently, the move towards a more complex and multidisciplinary system development is
increasingly important in order to understand and strengthen engineering approaches for …
increasingly important in order to understand and strengthen engineering approaches for …