Titel

Merkliste
1 Ergebnisse

Feature importance ranking for SVM classifier being the fea..:

Caroline L. Alves (14271413) ; Rubens Gisbert Cury (8439552) ; Kirstin Roster (14271416)...
https://figshare.com/articles/figure/Feature_importance_ranking_for_SVM_classifier_being_the_features_ranked_in_descending_order_of_importance_/21741824. , 2022

Link: https://doi.org/10.1371/journal.pone.0277257.g011

RT Journal
T1 <Title>Feature importance ranking for SVM classifier being the features ranked in descending order of importance</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21741824&Exemplar=1&LAN=DE
				
A1 Caroline L. Alves (14271413)
A1 Rubens Gisbert Cury (8439552)
A1 Kirstin Roster (14271416)
A1 Aruane M. Pineda (8939276)
A1 Francisco A. Rodrigues (231204)
A1 Christiane Thielemann (14271419)
A1 Manuel Ciba (14271422)
YR 2022
K1 Biochemistry
K1 Neuroscience
K1 Pharmacology
K1 Cancer
K1 Mental Health
K1 Plant Biology
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 three different levels
K1 possible therapeutic mechanism
K1 mediated visual hallucinations
K1 connection may point
K1 cognitive process akin
K1 changed significantly due
K1 alzheimer &# 8217
K1 92 %)
K1 followed
K1 significant new discovery
K1 automatically detect changes
K1 eeg time series
K1 complex networks relating
K1 functional brain networks
K1 developed new measures
K1 complex network measures
K1 xlink "> ayahuasca
K1 machine learning method
K1 83 %)
K1 indicating
K1 important brain connections
K1 complex networks
K1 new measures
K1 machine learning
K1 two measures
K1 connectivity changes
K1 brain regions
K1 brain activity
K1 eeg experiments
K1 eeg dataset
K1 viable therapy
K1 traditional medicine
K1 temporal lobe
K1 provide insights
K1 predictive model
K1 highest accuracy
K1 face recognition
K1 data abstraction
K1 closeness centrality
K1 ayahuasca consumption
K1 amazonian plants
K1 also associated
JF https://figshare.com/articles/figure/Feature_importance_ranking_for_SVM_classifier_being_the_features_ranked_in_descending_order_of_importance_/21741824
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0277257.g011
DO https://doi.org/10.1371/journal.pone.0277257.g011
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)