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ORCIDSebastián Moreno
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2020 – today
- 2024
[j12]Enrique Canessa
, Sergio E. Chaigneau, Sebastián Moreno:
Describing and understanding the time course of the property listing task. Cogn. Process. 25(1): 61-74 (2024)- [j11]Alejandra Bravo-Diaz, Sebastián Moreno, Javier Lopatin:
Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions. Ecol. Informatics 82: 102684 (2024) - [j10]Cristóbal Heredia, Sebastián Moreno, Wilfredo F. Yushimito:
ODMeans: An R package for global and local cluster detection for Origin-Destination GPS data. SoftwareX 26: 101732 (2024) - [j9]Cristóbal Heredia, Sebastián Moreno, Enrique Canessa, Sergio E. Chaigneau:
WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks. SoftwareX 27: 101842 (2024) - [c21]Sebastián Moreno, Javier Lopatin, Diego Corvalán, Alejandra Bravo-Diaz:
CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data. CIARP (1) 2024: 63-77 - 2023
- [c20]Alfonso Tobar-Arancibia, Sebastián Moreno, Javier Lopatin:
Hate Speech Recognition in Chilean Tweets. SCCC 2023: 1-8 - 2022
- [j8]Cristóbal Heredia, Sebastián Moreno, Wilfredo F. Yushimito:
Characterization of Mobility Patterns With a Hierarchical Clustering of Origin-Destination GPS Taxi Data. IEEE Trans. Intell. Transp. Syst. 23(8): 12700-12710 (2022) - [c19]Rodrigo Martinez, Sebastián Moreno:
A Flag System to Label Boats with Suspicious Behavior. SCCC 2022: 1-8 - [c18]Sebastián Moreno, Wilfredo F. Yushimito, Sebastián Hughes:
A Stacked Generalization Ensemble Model for Help Desk Ticket Assignment. SCCC 2022: 1-8 - 2021
- [j7]Enrique Canessa, Sergio E. Chaigneau, Sebastián Moreno:
Language Processing Differences Between Blind and Sighted Individuals and the Abstract Versus Concrete Concept Difference. Cogn. Sci. 45(10) (2021) - [j6]Maurice Poirrier, Sebastián Moreno, Gonzalo Huerta Cánepa:
Robust h-index. Scientometrics 126(3): 1969-1981 (2021) - 2020
- [j5]Sebastián Moreno, Jordi Pereira, Wilfredo F. Yushimito:
A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution. Ann. Oper. Res. 286(1): 87-117 (2020) - [j4]Enrique Canessa, Sergio E. Chaigneau, Sebastián Moreno, Rodrigo Lagos:
Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data. Cogn. Process. 21(4): 601-614 (2020)
2010 – 2019
- 2018
- [j3]Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville:
Scalable and exact sampling method for probabilistic generative graph models. Data Min. Knowl. Discov. 32(6): 1561-1596 (2018) - [j2]Sebastián Moreno, Jennifer Neville, Sergey Kirshner:
Tied Kronecker Product Graph Models to Capture Variance in Network Populations. ACM Trans. Knowl. Discov. Data 12(3): 35:1-35:40 (2018) - 2017
- [c17]Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville:
Unified Representation and Lifted Sampling for Generative Models of Social Networks. IJCAI 2017: 3798-3806 - 2016
- [c16]Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville:
Sampling of Attributed Networks from Hierarchical Generative Models. KDD 2016: 1155-1164 - 2015
- [c15]Ransen Niu, Sebastián Moreno, Jennifer Neville:
Analyzing the Transferability of Collective Inference Models Across Networks. ICDM Workshops 2015: 908-916 - [i2]Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville:
Using Bayesian Network Representations for Effective Sampling from Generative Network Models. CoRR abs/1507.03168 (2015) - 2014
- [b1]Sebastián Moreno:
Network hypothesis testing for relational data. Purdue University, USA, 2014 - [c14]Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner:
A Scalable Method for Exact Sampling from Kronecker Family Models. ICDM 2014: 440-449 - [c13]Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher:
Attributed graph models: modeling network structure with correlated attributes. WWW 2014: 831-842 - 2013
- [c12]Sebastián Moreno, Jennifer Neville:
Network Hypothesis Testing Using Mixed Kronecker Product Graph Models. ICDM 2013: 1163-1168 - [c11]Sebastián Moreno, Jennifer Neville, Sergey Kirshner:
Learning mixed kronecker product graph models with simulated method of moments. KDD 2013: 1052-1060 - 2012
- [c10]Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville:
Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures. SocialCom/PASSAT 2012: 154-165 - [i1]Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville:
Fast Generation of Large Scale Social Networks with Clustering. CoRR abs/1202.4805 (2012) - 2010
- [c9]Sebastián Moreno, Sergey Kirshner, Jennifer Neville, S. V. N. Vishwanathan:
Tied Kronecker product graph models to capture variance in network populations. Allerton 2010: 1137-1144
2000 – 2009
- 2007
- [j1]Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga:
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing 70(16-18): 2744-2757 (2007) - [c8]Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende:
Fusion of Self Organizing Maps. IWANN 2007: 227-234 - [c7]Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra:
Fusion of Neural Gas. IWINAC (1) 2007: 558-567 - 2006
- [c6]Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende:
Robustness Analysis of the Neural Gas Learning Algorithm. CIARP 2006: 559-568 - 2005
- [c5]Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra:
Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP 2005: 642-653 - [c4]Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas:
Robust Growing Hierarchical Self Organizing Map. IWANN 2005: 341-348 - [c3]Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas:
K-Dynamical Self Organizing Maps. MICAI 2005: 702-711 - 2004
- [c2]Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas:
Robust Self-organizing Maps. CIARP 2004: 179-186 - [c1]Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas:
Robust Neural Gas for the Analysis of Data with Outliers. SCCC 2004: 149-155
Coauthor Index
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