| 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 | 94 | 2014 |
| Network Hypothesis Testing Using Mixed Kronecker Product Graph Models S Moreno, J Neville Proceedings of the 13th IEEE International Conference on Data Mining, 2013 | 47 | 2013 |
| 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 | 45* | 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 | 36 | 2010 |
| Fusion of self organizing maps C Saavedra, R Salas, S Moreno, H Allende International Work-Conference on Artificial Neural Networks, 227-234, 2007 | 30 | 2007 |
| 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 | 19 | 2007 |
| 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 | 18 | 2013 |
| Robust self-organizing maps H Allende, S Moreno, C Rogel, R Salas Iberoamerican Congress on Pattern Recognition, 179-186, 2004 | 18 | 2004 |
| An investigation of the distributional characteristics of generative graph models S Moreno, J Neville Proceedings of the 1st Workshop on Information in Networks, 2009 | 15 | 2009 |
| Robust growing hierarchical self organizing map S Moreno, H Allende, C Rogel, R Salas International Work-Conference on Artificial Neural Networks, 341-348, 2005 | 12 | 2005 |
| 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 | 11 | 2016 |
| 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 | 11 | 2014 |
| 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 | 8 | 2005 |
| Robustness analysis of the neural gas learning algorithm C Saavedra, S Moreno, R Salas, H Allende Iberoamerican Congress on Pattern Recognition, 559-568, 2006 | 6 | 2006 |
| 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 | 5 | 2004 |
| 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 | 4 | 2018 |
| K-dynamical self organizing maps C Saavedra, H Allende, S Moreno, R Salas Mexican International Conference on Artificial Intelligence, 702-711, 2005 | 4 | 2005 |
| 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 | 3 | 2020 |
| 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 | 3 | 2015 |
| Block Kronecker Product Graph Model S Moreno, P Robles, J Neville Proceedings of the 11th Workshop on Mining and Learning with graphs, 2013 | 3 | 2013 |
Jennifer NevilleProfessor of Computer Science and Statistics, Purdue UniversityDirección de correo verificada de cs.purdue.edu
