Sebastian Moreno
TitoloCitata daAnno
Attributed Graph Models: Modeling network structure with correlated attributes
JJ Pfeiffer, S Moreno, T La Fond, J Neville, B Gallagher
Proceedings of the 23rd international conference on World wide web, 831-842, 2014
722014
Network Hypothesis Testing Using Mixed Kronecker Product Graph Models
S Moreno, J Neville
Proceedings of the 13th IEEE International Conference on Data Mining, 2013
362013
Fast generation of large scale social networks while incorporating transitive closures
JJ Pfeiffer, T La Fond, S Moreno, J Neville
2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012
35*2012
Tied Kronecker product graph models to capture variance in network populations
S Moreno, S Kirshner, J Neville, SVN Vishwanathan
2010 48th Annual Allerton Conference on Communication, Control, and …, 2010
322010
Fusion of self organizing maps
C Saavedra, R Salas, S Moreno, H Allende
International Work-Conference on Artificial Neural Networks, 227-234, 2007
322007
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments
R Salas, S Moreno, H Allende, C Moraga
Neurocomputing 70 (16-18), 2744-2757, 2007
202007
Robust self-organizing maps
H Allende, S Moreno, C Rogel, R Salas
Iberoamerican Congress on Pattern Recognition, 179-186, 2004
192004
Learning mixed kronecker product graph models with simulated method of moments
SI Moreno, J Neville, S Kirshner
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
162013
Robust growing hierarchical self organizing map
S Moreno, H Allende, C Rogel, R Salas
International Work-Conference on Artificial Neural Networks, 341-348, 2005
132005
An investigation of the distributional characteristics of generative graph models
S Moreno, J Neville
Proceedings of the 1st Workshop on Information in Networks, 2009
112009
A Scalable Method for Exact Sampling from Kronecker Family Models
S Moreno, JJ Pfeiffer III, J Neville, S Kirshner
Proceedings of the 14th IEEE International Conference on Data Mining (ICDM), 2014
82014
Flexible architecture of self organizing maps for changing environments
R Salas, H Allende, S Moreno, C Saavedra
Iberoamerican Congress on Pattern Recognition, 642-653, 2005
82005
Sampling of Attributed Networks From Hierarchical Generative Models
P Robles, S Moreno, N Jennifer
22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
72016
Robustness analysis of the neural gas learning algorithm
C Saavedra, S Moreno, R Salas, H Allende
Iberoamerican Congress on Pattern Recognition, 559-568, 2006
72006
K-dynamical self organizing maps
C Saavedra, H Allende, S Moreno, R Salas
Mexican International Conference on Artificial Intelligence, 702-711, 2005
52005
Robust neural gas for the analysis of data with outliers
H Allende, C Rogel, S Moreno, R Salas
XXIV International Conference of the Chilean Computer Science Society, 149-155, 2004
52004
A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution
S Moreno, J Pereira, W Yushimito
Annals of Operations Research, 1-31, 2017
22017
Tied Kronecker product graph models to capture variance in network populations
S Moreno, J Neville, S Kirshner
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 35, 2018
12018
Using Bayesian Network Representations for Effective Sampling from Generative Network Models
P Robles-Granda, S Moreno, J Neville
In Proceedings of the 5th International Workshop on Statistical Relational …, 2015
12015
Analyzing the Transferability of Collective Inference Models Across Networks
R Niu, S Moreno, J Neville
In Proceedings of the International Workshop on Information Analysis and …, 2015
12015
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