Results 111 to 120 of about 1,151,147 (311)
Presents corrections to the paper, (Corrections to “MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics”)
Mufeed Ahmed Naji Saif +4 more
core +1 more source
Features selection on multimodal dataset.
, 2023 BackgroundAccording to the World Health Organization (WHO), dementia is the seventh leading reason of death among all illnesses and one of the leading causes of disability among the world’s elderly people. Day by day the number of Alzheimer’s patients is
Sobhana Jahan (17403672) +6 more
core +1 more source
Classifier-independent feature selection for two-stage feature selection [PDF]
, 1998 The effectiveness of classifier-independent feature selection is described. The aim is to remove garbage features and to improve the classification accuracy of all the practical classifiers compared with the situation where all the given features are used.
Mineichi Kudo, Jack Sklansky
openaire +1 more source
FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Random forest and support vector machine on features selection for regression analysis
, 2019 Random forest and support vector machine on features selection for regression ...
C Dewi (13596229), RC Chen (19160074)
core
Formulating Generalize Malware Attack Pattern Using Features Selection [PDF]
, 2016 Malicious software or malware activity is increasingly threatened the network security as the malicious codes can be easily obtained and can be used as a weapon to gain illegal objectives.
Rudy Fadhlee, Mohd Dollah +5 more
core
Robust Feature Selection Using Ensemble Feature Selection Techniques [PDF]
, 2008 Robustness or stability of feature selection techniques is a topic of recent interest, and is an important issue when selected feature subsets are subsequently analysed by domain experts to gain more insight into the problem modelled. In this work, we investigate the use of ensemble feature selection techniques, where multiple feature selection methods
Yvan Saeys +2 more
openaire +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Computational Learning Framework for Carbon Emissions Predictions Incorporating a RReliefF Driven Features Selection and an Iterative Neural Network Architecture Improvement [PDF]
, 2021 Environmental protection is being progressively considered as paramount condition for the planet's continued habitability. After the Kyoto Protocol signature in 1997, governments, industry stakeholders and academia began to work on the development of ...
Crespo, A. M. F.
core
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source