Sebastian Moreno
Titolo
Citata da
Citata da
Anno
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
802014
Network Hypothesis Testing Using Mixed Kronecker Product Graph Models
S Moreno, J Neville
Proceedings of the 13th IEEE International Conference on Data Mining, 2013
412013
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
40*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
342010
Fusion of self organizing maps
C Saavedra, R Salas, S Moreno, H Allende
International Work-Conference on Artificial Neural Networks, 227-234, 2007
312007
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
182004
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
An investigation of the distributional characteristics of generative graph models
S Moreno, J Neville
Proceedings of the 1st Workshop on Information in Networks, 2009
132009
Robust growing hierarchical self organizing map
S Moreno, H Allende, C Rogel, R Salas
International Work-Conference on Artificial Neural Networks, 341-348, 2005
122005
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
102014
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
82016
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
Robustness analysis of the neural gas learning algorithm
C Saavedra, S Moreno, R Salas, H Allende
Iberoamerican Congress on Pattern Recognition, 559-568, 2006
62006
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
K-dynamical self organizing maps
C Saavedra, H Allende, S Moreno, R Salas
Mexican International Conference on Artificial Intelligence, 702-711, 2005
42005
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), 1-40, 2018
32018
Block Kronecker Product Graph Model
S Moreno, P Robles, J Neville
Proceedings of the 11th Workshop on Mining and Learning with graphs, 2013
32013
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 286 (1), 87-117, 2020
22020
Scalable and exact sampling method for probabilistic generative graph models
S Moreno, JJ Pfeiffer, J Neville
Data Mining and Knowledge Discovery 32 (6), 1561–1596, 2018
12018
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