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在“
Elsevier电子期刊
”中,
命中:
21,602
条,耗时:0.1778834 秒
在所有数据库中总计命中:
41,326
条
1.
MAAR: Robust
feature
s to detect malicious activity based on API calls, their arguments and return
value
s
作者:
Zahra Salehi
zsalehi@cse.shirazu.ac.ir
;
Ashkan Sami
;
sami@shirazu.ac.ir
;
Mahboobe Ghiasi
ghiasi@cse.shirazu.ac.ir
关键词:
Dynamic malware analysis
;
Behavior malware analysis
;
Malware detection
;
Return
value
API calls arguments
;
Feature
generation
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
2.
Feature
selection and approximate reasoning of large-scale set-
value
d decision tables based on α-dominance-based quantitative rough sets
作者:
Hong-Ying Zhang
;
zhyemily@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Shu-Yun Yang
yangshuyun2009125@163.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Set-
value
d decision tables
;
α-dominance relation
;
Quantitative rough sets
;
Feature
selection
;
Approximate reasoning
;
Disjunctive
;
Conjunctive
刊名:Information Sciences
出版年:2017
3.
The GLID method: Moving from design
feature
s to underlying
value
s in co-design
作者:
Maarten Van Mechelen
a
;
b
;
1
;
Maarten.vanmechelen@kuleuven.be" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Jan Derboven
a
;
1
;
Jan.Derboven@kuleuven.be" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Ann Laenen
c
;
Ann.laenen@um.edu.mt" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Bert Willems
b
;
d
;
Bert.willems@pxl.be" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
David Geerts
a
;
David.geerts@kuleuven.be" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Vero Vanden Abeele
e
;
Vero.vandenabeele@kuleuven.be" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Participatory design
;
Co-design
;
Value
s
;
Multimodal analysis
;
Means-end theory
;
Design methods
刊名:International Journal of Human - Computer Studies
出版年:2017
4.
Feature
selection based on measurement of ability to classify subproblems
作者:
Shuqin Wang
a
;
wangshuqin@mail.tjnu.edu.cn
Author Vitae
;
Jinmao Wei
b
;
weijm@nankai.edu.cn
关键词:
Feature
selection
;
Discrimination structure complementarity
;
Fisher's discriminant ratio
刊名:Neurocomputing
出版年:2017
5.
Performance analysis of descriptive statistical
feature
s in retinal vessel segmentation via fuzzy logic, ANN, SVM, and classifier fusion
作者:
Buket D. Barkana
a
;
bbarkana@bridgeport.edu
;
Inci Saricicek
b
;
incid@ogu.edu.tr
;
Burak Yildirim
c
;
b.yildirim@miami.edu
关键词:
Retinal vessel segmentation
;
Statistical
feature
s
;
Classification
;
Fuzzy logic
;
ANN
;
SVM
;
Classifier fusion
刊名:Knowledge-Based Systems
出版年:2017
6.
A novel adaptive
feature
selector for supervised classification
作者:
S. Sasikala
a
;
nithilannsasikala@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author
;
S. Appavu alias Balamurugan
a
;
app_s@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
S. Geetha
b
;
geethabaalan@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Medical data mining
;
Biomedical classification
;
Feature
selection
;
Genetic algorithm
;
Performance evaluation
刊名:Information Processing Letters
出版年:2017
7.
Toward an integrated understanding of perceived biodiversity
value
s and environmental conditions in a national park
作者:
Carena J. van Riper
a
;
cvanripe@illinois.edu" class="auth_mail" title="E-mail the corresponding author
;
Gerard T. Kyle
b
;
Benson C. Sherrouse
c
;
Kenneth J. Bagstad
c
;
Stephen G. Sutton
d
关键词:
Ecosystem services
;
Social
value
indicator
;
Social-ecological system
;
GIS
;
Protected areas
;
Biodiversity
刊名:Ecological Indicators
出版年:2017
8.
Feature
selection based on a normalized difference measure for text classification
作者:
Abdur Rehman
;
a
;
b
;
a.rehman@uog.edu.pk
;
Kashif Javed
c
;
kashif.javed@uet.edu.pk
;
Haroon A. Babri
c
;
babri@uet.edu.pk
关键词:
Text classification
;
Feature
selection
;
Accuracy measure
;
Document frequency
刊名:Information Processing & Management
出版年:2017
9.
Feature
selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification
作者:
Chengming Qi
a
;
b
;
chming.qi@gmail.com
Author Vitae
;
Zhangbing Zhou
a
;
c
;
zhangbing.zhou@gmail.com
Author Vitae
;
Yunchuan Sun
d
Author Vitae
;
Houbing Song
e
;
Houbing.Song@mail.wvu.edu
Author Vitae
;
Lishuan Hu
a
;
b
;
hulishuan@163.com
Author Vitae
;
Qun Wang
a
;
qunw@cugb.edu.cn
Author Vitae
关键词:
Ensemble learning
;
Feature
selection
;
Hyperspectral remote sensing image
;
Multiple kernel boosting
刊名:Neurocomputing
出版年:2017
10.
Mixed-signal VLSI neural network based on Continuous
Value
d Number System
作者:
Babak Zamanlooy
;
zamanlo@uwindsor.ca
Author Vitae
;
Mitra Mirhassani
mitramir@uwindsor.ca
Author Vitae
关键词:
Mixed signal neural networks
;
VLSI implementation
;
Continuous
Value
d Number System
;
Analog digits
刊名:Neurocomputing
出版年:2017
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