Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Zhu, Yungang
Liu, Dayou
and
Jia, Haiyang
2011.
A New Evolutionary Computation Based Approach for Learning Bayesian Network.
Procedia Engineering,
Vol. 15,
Issue. ,
p.
4026.
Pérez-Ariza, Cora Beatriz
Nicholson, Ann E.
Korb, Kevin B.
Mascaro, Steven
and
Hu, Chao Heng
2012.
AI 2012: Advances in Artificial Intelligence.
Vol. 7691,
Issue. ,
p.
902.
Cox, Louis Anthony
2012.
Improving Risk Analysis.
Vol. 185,
Issue. ,
p.
3.
Gatsoulis, Yiannis
Siradjuddin, Indrazno
and
McGinnity, T. Martin
2012.
Primitive action learning using fuzzy neural networks.
p.
1513.
Larrañaga, Pedro
Karshenas, Hossein
Bielza, Concha
and
Santana, Roberto
2013.
A review on evolutionary algorithms in Bayesian network learning and inference tasks.
Information Sciences,
Vol. 233,
Issue. ,
p.
109.
Lasserre, Julia
Chung, Ho-Ryun
Vingron, Martin
and
Beerenwinkel, Niko
2013.
Finding Associations among Histone Modifications Using Sparse Partial Correlation Networks.
PLoS Computational Biology,
Vol. 9,
Issue. 9,
p.
e1003168.
Trabelsi, Ghada
Leray, Philippe
Ben Ayed, Mounir
and
Alimi, Adel Mohamed
2013.
Advances in Intelligent Data Analysis XII.
Vol. 8207,
Issue. ,
p.
392.
Zhu, Yungang
Liu, Dayou
Chen, Guifen
Jia, Haiyang
and
Yu, Helong
2013.
Mathematical modeling for active and dynamic diagnosis of crop diseases based on Bayesian networks and incremental learning.
Mathematical and Computer Modelling,
Vol. 58,
Issue. 3-4,
p.
514.
Salama, Khalid M.
and
Freitas, Alex A.
2013.
Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner.
p.
2321.
Sepulcre, Miguel
Gozalvez, Javier
Altintas, Onur
and
Kremo, Haris
2013.
Exploiting context information for estimating the performance of vehicular communications.
p.
39.
Salama, Khalid M.
and
Freitas, Alex A.
2013.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics.
Vol. 7833,
Issue. ,
p.
80.
Su, Chengwei
Andrew, Angeline
Karagas, Margaret R
and
Borsuk, Mark E
2013.
Using Bayesian networks to discover relations between genes, environment, and disease.
BioData Mining,
Vol. 6,
Issue. 1,
de Sá, Alex Guimarães Cardoso
and
Pappa, Gisele Lobo
2013.
Towards a method for automatically evolving bayesian network classifiers.
p.
1505.
Trabelsi, Ghada
Leray, Philippe
Ben Ayed, Mounir
and
Alimi, Adel M.
2013.
Benchmarking dynamic Bayesian network structure learning algorithms.
p.
1.
Salama, Khalid M.
and
Freitas, Alex A.
2013.
Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization.
p.
3079.
Naseri, Mahsa
and
Ludwig, Simone A.
2013.
Extracting workflow structures through Bayesian learning and provenance data.
p.
319.
Ishak, Mouna Ben
Leray, Philippe
and
Amor, Nahla Ben
2014.
Random Generation and Population of Probabilistic Relational Models and Databases.
p.
756.
Salama, Khalid M.
and
Freitas, Alex A.
2014.
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013).
Vol. 512,
Issue. ,
p.
1.
Foraita, Ronja
Spallek, Jacob
and
Zeeb, Hajo
2014.
Handbook of Epidemiology.
p.
1481.
de Sá, Alex G. C.
and
Pappa, Gisele L.
2014.
Advances in Artificial Intelligence -- IBERAMIA 2014.
Vol. 8864,
Issue. ,
p.
430.