Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.
Several techniques or methods may help in detecting diseases and cancer. Creating an
effective method for extracting disease information is one of the major challenges in the …
effective method for extracting disease information is one of the major challenges in the …
Analyzing individual neurons in pre-trained language models
While a lot of analysis has been carried to demonstrate linguistic knowledge captured by the
representations learned within deep NLP models, very little attention has been paid towards …
representations learned within deep NLP models, very little attention has been paid towards …
Swarm intelligence algorithms in gene selection profile based on classification of microarray data: a review
Microarray data plays a major role in diagnosing and treating cancer. In several microarray
data sets, many gene fragments are not associated with the target diseases. A solution to the …
data sets, many gene fragments are not associated with the target diseases. A solution to the …
Analyzing redundancy in pretrained transformer models
Transformer-based deep NLP models are trained using hundreds of millions of parameters,
limiting their applicability in computationally constrained environments. In this paper, we …
limiting their applicability in computationally constrained environments. In this paper, we …
Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks
In the last five years, the inclusion of Deep Learning algorithms in prognostics and health
management (PHM) has led to a performance increase in diagnostics, prognostics, and …
management (PHM) has led to a performance increase in diagnostics, prognostics, and …
A PPG-based calibration-free cuffless blood pressure estimation method using cardiovascular dynamics
H Samimi, HR Dajani - Sensors, 2023 - mdpi.com
Traditional cuff-based sphygmomanometers for measuring blood pressure can be
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …
Hybrid filter and genetic algorithm-based feature selection for improving cancer classification in high-dimensional microarray data
W Ali, F Saeed - Processes, 2023 - mdpi.com
The advancements in intelligent systems have contributed tremendously to the fields of
bioinformatics, health, and medicine. Intelligent classification and prediction techniques …
bioinformatics, health, and medicine. Intelligent classification and prediction techniques …
Gene selection using hybrid multi-objective cuckoo search algorithm with evolutionary operators for cancer microarray data
Microarray data play a huge role in recognizing a proper cancer diagnosis and
classification. In most microarray data set consist of thousands of genes, but the majority …
classification. In most microarray data set consist of thousands of genes, but the majority …
Mapping plant species in a former industrial site using airborne hyperspectral and time series of sentinel-2 data sets
Industrial activities induce various impacts on ecosystems that influence species richness
and distribution. An effective way to assess the resulting impacts on biodiversity lies in …
and distribution. An effective way to assess the resulting impacts on biodiversity lies in …
A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer …
Identification of informative genes is essential for the disease and cancer studies.
Metaheuristic algorithms have been widely used for this purpose. However, their …
Metaheuristic algorithms have been widely used for this purpose. However, their …