Robust Self-organizing Maps. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (CIARP, 2004)

Robust Neural Gas for the Analysis of Data with Outliers. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (SCCC, 2004)

Flexible Architecture of Self Organizing Maps for Changing Environments. - Rodrigo Salas 001; Héctor Allende; Sebastián Moreno; Carolina Saavedra (CIARP, 2005)

Robust Growing Hierarchical Self Organizing Map. - Sebastián Moreno; Héctor Allende; Cristian Rogel; Rodrigo Salas 001 (IWANN, 2005)

K-Dynamical Self Organizing Maps. - Carolina Saavedra; Héctor Allende; Sebastián Moreno; Rodrigo Salas 001 (MICAI, 2005)

Robustness Analysis of the Neural Gas Learning Algorithm. - Carolina Saavedra; Sebastián Moreno; Rodrigo Salas 001; Héctor Allende (CIARP, 2006)

Fusion of Self Organizing Maps. - Carolina Saavedra; Rodrigo Salas 001; Sebastián Moreno; Héctor Allende (IWANN, 2007)

Fusion of Neural Gas. - Sebastián Moreno; Héctor Allende; Rodrigo Salas 001; Carolina Saavedra (IWINAC (1), 2007)

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. - Rodrigo Salas 001; Sebastián Moreno; Héctor Allende; Claudio Moraga (Neurocomputing, 2007)

Tied Kronecker product graph models to capture variance in network populations. - Sebastián Moreno; Sergey Kirshner; Jennifer Neville; S. V. N. Vishwanathan (Allerton, 2010)

Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures. - Joseph J. Pfeiffer III; Timothy La Fond; Sebastián Moreno; Jennifer Neville (SocialCom/PASSAT, 2012)

Fast Generation of Large Scale Social Networks with Clustering - Joseph J. Pfeiffer III; Timothy La Fond; Sebastián Moreno; Jennifer Neville (CoRR, 2012)

Network Hypothesis Testing Using Mixed Kronecker Product Graph Models. - Sebastián Moreno; Jennifer Neville (ICDM, 2013)

Learning mixed kronecker product graph models with simulated method of moments. - Sebastián Moreno; Jennifer Neville; Sergey Kirshner (KDD, 2013)

A Scalable Method for Exact Sampling from Kronecker Family Models. - Sebastián Moreno; Joseph J. Pfeiffer III; Jennifer Neville; Sergey Kirshner (ICDM, 2014)

Attributed graph models: modeling network structure with correlated attributes. - Joseph J. Pfeiffer III; Sebastián Moreno; Timothy La Fond; Jennifer Neville; Brian Gallagher (WWW, 2014)

Network hypothesis testing for relational data - Sebastián Moreno (2014)

Analyzing the Transferability of Collective Inference Models Across Networks. - Ransen Niu; Sebastián Moreno; Jennifer Neville (ICDM Workshops, 2015)

Using Bayesian Network Representations for Effective Sampling from Generative Network Models. - Pablo Robles-Granda; Sebastián Moreno; Jennifer Neville (CoRR, 2015)

Sampling of Attributed Networks from Hierarchical Generative Models. - Pablo Robles-Granda; Sebastián Moreno; Jennifer Neville (KDD, 2016)

Unified Representation and Lifted Sampling for Generative Models of Social Networks. - Pablo Robles-Granda; Sebastián Moreno; Jennifer Neville (IJCAI, 2017)

Scalable and exact sampling method for probabilistic generative graph models. - Sebastián Moreno; Joseph J. Pfeiffer III; Jennifer Neville (Data Min. Knowl. Discov., 2018)

Tied Kronecker Product Graph Models to Capture Variance in Network Populations. - Sebastián Moreno; Jennifer Neville; Sergey Kirshner (ACM Trans. Knowl. Discov. Data, 2018)

A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution. - Sebastián Moreno; Jordi Pereira; Wilfredo F. Yushimito (Ann. Oper. Res., 2020)

Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data. - Enrique Canessa; Sergio E. Chaigneau; Sebastián Moreno; Rodrigo Lagos (Cogn. Process., 2020)

Language Processing Differences Between Blind and Sighted Individuals and the Abstract Versus Concrete Concept Difference. - Enrique Canessa; Sergio E. Chaigneau; Sebastián Moreno (Cogn. Sci., 2021)

Robust h-index. - Maurice Poirrier; Sebastián Moreno; Gonzalo Huerta Cánepa (Scientometrics, 2021)

A Flag System to Label Boats with Suspicious Behavior. - Rodrigo Martinez; Sebastián Moreno (SCCC, 2022)

A Stacked Generalization Ensemble Model for Help Desk Ticket Assignment. - Sebastián Moreno; Wilfredo F. Yushimito; Sebastián Hughes (SCCC, 2022)

Characterization of Mobility Patterns With a Hierarchical Clustering of Origin-Destination GPS Taxi Data. - Cristóbal Heredia; Sebastián Moreno; Wilfredo F. Yushimito (IEEE Trans. Intell. Transp. Syst., 2022)

Hate Speech Recognition in Chilean Tweets. - Alfonso Tobar-Arancibia; Sebastián Moreno; Javier Lopatin (SCCC, 2023)

CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data. - Sebastián Moreno; Javier Lopatin; Diego Corvalán; Alejandra Bravo-Diaz (CIARP (1), 2024)

Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions. - Alejandra Bravo-Diaz; Sebastián Moreno; Javier Lopatin (Ecol. Informatics, 2024)

WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks. - Cristóbal Heredia; Sebastián Moreno; Enrique Canessa; Sergio E. Chaigneau (SoftwareX, 2024)

ODMeans: An R package for global and local cluster detection for Origin-Destination GPS data. - Cristóbal Heredia; Sebastián Moreno; Wilfredo F. Yushimito (SoftwareX, 2024)

Describing and understanding the time course of the property listing task. - Enrique Canessa; Sergio E. Chaigneau; Sebastián Moreno (Cogn. Process., 2024)

Convolutional neural network models with low spatial variability hamper the transfer learning process. - Alejandra Bravo-Diaz; Sebastián Moreno; Javier Lopatin (Neural Comput. Appl., 2025)