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LILIAN BERTON
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Name
Affiliation
Papers
LILIAN BERTON
Univ Sao Paulo, Inst Math & Comp Sci, Av Trabalhador Sao Carlense 400,Caixa Postal 668, BR-13560970 Sao Paulo, Brazil
22
Collaborators
Citations
PageRank
35
16
7.82
Referers
Referees
References
52
190
83
Search Limit
100
190
Publications (22 rows)
Collaborators (35 rows)
Referers (52 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
A Temporal Event Graph Approach and Robustness Analysis for Air Transport Network
1
0.40
2021
Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations
0
0.34
2021
Topology and robustness analysis of temporal air transport network
0
0.34
2020
Identifying Noisy Labels With A Transductive Semi-Supervised Leave-One-Out Filter
1
0.40
2020
A comparison of graph-based semi-supervised learning for data augmentation
0
0.34
2020
Word sense disambiguation - an evaluation study of semi-supervised approaches with word embeddings.
0
0.34
2020
Analysis of label noise in graph-based semi-supervised learning
0
0.34
2020
Categorizing Online Harassment on Twitter.
1
0.35
2019
A multi-centrality index for graph-based keyword extraction.
3
0.40
2019
Car Plate Character Recognition Via Semi-Supervised Learning.
0
0.34
2019
Cluster Analysis of Homicide Rates in the Brazilian State of Goiás from 2002 to 2014
0
0.34
2018
RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning.
1
0.35
2017
The Impact of Social Curiosity on Information Spreading on Networks.
1
0.36
2017
Neighborhood graph construction for semi-supervised learning.
0
0.34
2016
Network Sampling Based on Centrality Measures for Relational Classification.
0
0.34
2016
Link prediction in graph construction for supervised and semi-supervised learning
0
0.34
2015
A naïve Bayes model based on overlapping groups for link prediction in online social networks
4
0.40
2015
Influence Maximization Based on the Least Influential Spreaders.
1
0.36
2015
Graph construction for semi-supervised learning
1
0.34
2015
Music Genre Classification Using Traditional and Relational Approaches.
1
0.39
2014
Informativity-based graph: Exploring mutual kNN and labeled vertices for semi-supervised learning
1
0.36
2012
Identifying Abnormal Nodes In Complex Networks By Using Random Walk Measure
0
0.34
2010
1