Didier Augusto Vega-Oliveros
Didier Augusto Vega-Oliveros
Research collaborator at the Center for Complex Networks and Systems Research at Indiana University
Zweryfikowany adres z indiana.edu - Strona główna
Cytowane przez
Cytowane przez
A multi-centrality index for graph-based keyword extraction
DA Vega-Oliveros, PS Gomes, EE Milios, L Berton
Information Processing & Management 56 (6), 102063, 2019
Rumor propagation with heterogeneous transmission in social networks
DA Vega-Oliveros, L Da F Costa, FA Rodrigues
Journal of Statistical Mechanics: Theory and Experiment 2017 (2), 023401, 2017
Regular graph construction for semi-supervised learning
DA Vega-Oliveros, L Berton, AM Eberle, A de Andrade Lopes, L Zhao
Journal of physics: Conference series 490 (1), 012022, 2014
Global fire season severity analysis and forecasting
LN Ferreira, DA Vega-Oliveros, L Zhao, MF Cardoso, EEN Macau
Computers & Geosciences 134, 104339, 2020
An approach based on multiple text input modes for interactive digital TV applications
DA Vega-Oliveros, DC Pedrosa, MGC Pimentel, RP de Mattos Fortes
Proceedings of the 28th ACM International Conference on Design of …, 2010
" This conversation will be recorded" automatically generating interactive documents from captured media
DA Vega-Oliveros, DS Martins, MGC Pimentel
Proceedings of the 10th ACM symposium on Document engineering, 37-40, 2010
Influence maximization by rumor spreading on correlated networks through community identification
DA Vega-Oliveros, L da Fontoura Costa, FA Rodrigues
Communications in Nonlinear Science and Numerical Simulation 83, 105094, 2020
A comparison of graph construction methods for semi-supervised learning
L Berton, A de Andrade Lopes, DA Vega-Oliveros
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
The impact of social curiosity on information spreading on networks
DA Vega-Oliveros, L Berton, F Vazquez, FA Rodrigues
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
Influence maximization based on the least influential spreaders
DA Vega-Oliveros, L Berton, ...
International Workshop on Social Influence Analysis (SocInf 2015), 2015
Spatiotemporal data analysis with chronological networks
LN Ferreira, DA Vega-Oliveros, M Cotacallapa, MF Cardoso, MG Quiles, ...
Nature communications 11 (1), 1-11, 2020
Temporal network pattern identification by community modelling
X Gao, Q Zheng, DA Vega-Oliveros, L Anghinoni, L Zhao
Scientific reports 10 (1), 1-12, 2020
Evaluating link prediction by diffusion processes in dynamic networks
DA Vega-Oliveros, L Zhao, L Berton
Scientific reports 9 (1), 1-14, 2019
Media-oriented operators for authoring interactive multimedia documents generated from capture sessions
DA Vega-Oliveros, DS Martins, MGC Pimentel
Proceedings of the 2011 ACM Symposium on Applied Computing, 1267-1272, 2011
Interactors: operators to automatically generate interactive multimedia documents from captured media
DA Vega-Oliveros, DS Martins, CP Maria da Graça
Anais do XVI Simpósio Brasileiro de Sistemas Multimídia e Web, 163-170, 2010
About interfaces between machine learning, complex networks, survivability analysis, and disaster risk reduction
LBL Santos, LR Londe, TJ de Carvalho, DS Menasché, DA Vega-Oliveros
Towards Mathematics, Computers and Environment: A Disasters Perspective, 185-215, 2019
Multifractality in random networks with power-law decaying bond strengths
DA Vega-Oliveros, JA Méndez-Bermúdez, FA Rodrigues
Physical Review E 99 (4), 042303, 2019
From spatio-temporal data to chronological networks: An application to wildfire analysis
DA Vega-Oliveros, M Cotacallapa, LN Ferreira, MG Quiles, L Zhao, ...
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 675-682, 2019
The Impact of Network Sampling on Relational Classification.
L Berton, DA Vega-Oliveros, JC Valverde-Rebaza, AT da Silva, ...
SIMBig, 62-72, 2016
Classifying el nino-southern oscillation combining network science and machine learning
MADC Santos, DA Vega-Oliveros, L Zhao, L Berton
IEEE Access 8, 55711-55723, 2020
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