| 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 | 156 | 2014 |
| 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 | 62* | 2012 |
| Network Hypothesis Testing Using Mixed Kronecker Product Graph Models S Moreno, J Neville Proceedings of the 13th IEEE International Conference on Data Mining, 2013 | 59 | 2013 |
| 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 | 43 | 2010 |
| Analysis of first-year university student dropout through machine learning models: A comparison between universities D Opazo, S Moreno, E Álvarez-Miranda, J Pereira Mathematics 9 (20), 2599, 2021 | 37 | 2021 |
| Evaluation of machine learning methodologies to predict stop delivery times from GPS data S Hughes, S Moreno, WF Yushimito, G Huerta-Cánepa Transportation Research Part C: Emerging Technologies 109, 289-304, 2019 | 37 | 2019 |
| Fusion of self organizing maps C Saavedra, R Salas, S Moreno, H Allende Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007 | 31 | 2007 |
| Robust h-index M Poirrier, S Moreno, G Huerta-Cánepa Scientometrics 126, 1969-1981, 2021 | 26 | 2021 |
| 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 | 22 | 2013 |
| 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 | 22 | 2007 |
| 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, 87-117, 2020 | 21 | 2020 |
| Robust self-organizing maps H Allende, S Moreno, C Rogel, R Salas Progress in Pattern Recognition, Image Analysis and Applications: 9th …, 2004 | 20 | 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 | 19 | 2009 |
| 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 | 18 | 2016 |
| 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 | 16 | 2018 |
| 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 | 15 | 2014 |
| Robust growing hierarchical self organizing map S Moreno, H Allende, C Rogel, R Salas Computational Intelligence and Bioinspired Systems: 8th International Work …, 2005 | 13 | 2005 |
| 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 | 8 | 2018 |
| Fusion of self-organizing maps. 9th International Work-Conference on Artificial Neural Networks C Saavedra, R Salas, S Moreno, H Allende Springer Berlin Heidelberg, 2007 | 8 | 2007 |
| 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 |
Jennifer NevilleMicrosoft Research, Purdue UniversityVerified email at microsoft.com
