A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification
A Tiwari, A Chaturvedi - Expert Systems with Applications, 2022 - Elsevier
The ubiquitous usage of feature selection in search space optimization, information retrieval,
data mining, signal processing, software fault prediction, and bioinformatics is paramount to …
data mining, signal processing, software fault prediction, and bioinformatics is paramount to …
DeepLNC, a long non-coding RNA prediction tool using deep neural network
R Tripathi, S Patel, V Kumari, P Chakraborty… - … Modeling Analysis in …, 2016 - Springer
The significant role of long non-coding RNAs (lncRNAs) in various cellular functions, such
as gene imprinting, immune response, embryonic pluripotency, tumorogenesis, and genetic …
as gene imprinting, immune response, embryonic pluripotency, tumorogenesis, and genetic …
An approach for assessing similarity metrics used in metric-based clone detection techniques
DM Shawky, AF Ali - 2010 3rd international conference on …, 2010 - ieeexplore.ieee.org
Similarity is an important concept in information theory. A challenging question is how to
measure the amount of shared information between two systems. A large number of metrics …
measure the amount of shared information between two systems. A large number of metrics …
Kl. Comparison between using linear and non-linear features to classify uterine electromyography signals of term and preterm deliveries
SM Naeem, AF Ali, MA Eldosoky - 2013 30th National Radio …, 2013 - ieeexplore.ieee.org
The main objective of this paper is to predict preterm deliveries at an early gestation period
using uterine electromyography signals (EMG). Detecting such uterine signals can yield a …
using uterine electromyography signals (EMG). Detecting such uterine signals can yield a …
A novel hybrid approach of feature selection through feature clustering using microarray gene expression data
CMM Wahid, ABMS Ali, KS Tickle - 2011 11th International …, 2011 - ieeexplore.ieee.org
Hybrid methods for feature selection comprised of combination of filter and wrapper
approaches have recently been emerged as strong techniques for the problem in this …
approaches have recently been emerged as strong techniques for the problem in this …
Hybrid feature selection through feature clustering for microarray gene expression data
CM Mufassil Wahid, ABM Shawkat Ali… - … Journal of Hybrid …, 2013 - content.iospress.com
Goal of feature selection is to find a suitable feature subset that produces higher accuracy for
classifier in the user end. Hybrid methods for feature selection comprised of combination of …
classifier in the user end. Hybrid methods for feature selection comprised of combination of …
[PDF][PDF] EFFECTIVE SUMMARY FOR MASSIVE DATA SET.
A Radhika - ICTACT Journal on Soft Computing, 2015 - pdfs.semanticscholar.org
The research efforts attempt to investigate size of the data increasing interest in designing
the effective algorithm for space and time reduction. Providing high-dimensional technique …
the effective algorithm for space and time reduction. Providing high-dimensional technique …
[引用][C] Analiza življenjskega kroga tehnologij pridelave solate in določitev normalizacijskih dejavnikov za Slovenijo: doktorska disertacija
M Slapnik - 2015 - repozitorij.uni-lj.si
Na podlagi Statuta Univerze v Ljubljani ter po sklepu Senata Biotehniške fakultete in sklepu
Senata Univerze z dne 15. 10. 2013 je bilo potrjeno, da kandidat izpolnjuje pogoje za …
Senata Univerze z dne 15. 10. 2013 je bilo potrjeno, da kandidat izpolnjuje pogoje za …