Search Results - "Anghinoni, Leandro"

Time series pattern identification by hierarchical community detection by Anghinoni, Leandro, Vega-Oliveros, Didier A., Silva, Thiago Christiano, Zhao, Liang

“…Identifying time series patterns is of great importance for many real-world problems in a variety of scientific fields. Here, we present a method to identify…”
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Temporal Network Pattern Identification by Community Modelling by Gao, Xubo, Zheng, Qiusheng, Vega-Oliveros, Didier A., Anghinoni, Leandro, Zhao, Liang

“…Temporal network mining tasks are usually hard problems. This is because we need to face not only a large amount of data but also its non-stationary nature. In…”
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Time series trend detection and forecasting using complex network topology analysis by Anghinoni, Leandro, Zhao, Liang, Ji, Donghong, Pan, Heng

“…Extracting knowledge from time series provides important tools for many real applications. However, many challenging problems still open due to the stochastic…”
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Analysis of the Effectiveness of Public Health Measures on COVID-19 Transmission by Silva, Thiago Christiano, Anghinoni, Leandro, Chagas, Cassia Pereira das, Zhao, Liang, Tabak, Benjamin Miranda

“…In this study, we investigate the COVID-19 epidemics in Brazilian cities, using early-time approximations of the SIR model in networks and combining the VAR…”
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Characterizing data patterns with core–periphery network modeling by Yan, Jianglong, Anghinoni, Leandro, Zhu, Yu-Tao, Liu, Weiguang, Li, Gen, Zheng, Qiusheng, Zhao, Liang

“…Traditional classification techniques usually classify data samples according to the physical organization, such as similarity, distance, and distribution, of…”
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TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding by Anghinoni, Leandro, Zhu, Yu-tao, Ji, Donghong, Zhao, Liang

“…Graph Neural Networks (GNNs) have become a rapidly growing field, due to their ability to capture the relationship among data, instead of only learning from…”
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Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis by Anghinoni, Leandro, Zhao, Liang, Zheng, QiuSheng, Zhang, JunBo

“…Extracting knowledge from time series analysis has been growing in importance and complexity over the last decade as the amount of stored data has increased…”
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