Lilian Berton

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 36

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Willian Dihanster G. de Oliveira, Lilian Berton
A systematic review for class-imbalance in semi-supervised learning. Artif. Intell. Rev. 56 (S2) (2023)
Lilian Berton, Felipe Mitsuishi, Didier Augusto Vega-Oliveros
Analysis of active semi-supervised learning. SAC (2023)
Lilian Berton, Pedro Oliveira, Didier A. Vega-Oliveros
Graph-based semi-supervised classification for similar wildfire dynamics. SAC (2023)
Matheus A. De Castro Santos, Lilian Berton
An Enhanced Framework for Overcoming Pitfalls and Enabling Model Interpretation in Pneumonia and Covid-19 Classification. IEEE Access 11 (2023)
José Márcio Duarte, Lilian Berton
A review of semi-supervised learning for text classification. Artif. Intell. Rev. 56 (9) (2023)
Amanda Ribeiro Fontes, Henrique Mohallem Paiva, Lilian Berton
Project-Based Learning in the Development of a Job-Matching Website for Women in STEM. TALE (2023)
Didier A. Vega-Oliveros, Liang Zhao, Anderson Rocha, Lilian Berton
Link Prediction Based on Stochastic Information Diffusion. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Rodney Rick, Lilian Berton
Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths. Eng. Appl. Artif. Intell. 113 (2022)
Bruno Klaus de Aquino Afonso, Lilian Berton
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier. CoRR (2022)
Bruno Klaus de Aquino Afonso, Lilian Berton
QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory. CoRR (2022)
Bruno Klaus de Aquino Afonso, Lilian Berton
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier. BRACIS (1) (2021)
Klaifer Garcia, Lilian Berton
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA. Appl. Soft Comput. 101 (2021)
José Márcio Duarte, Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton
Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations. Inf. Sci. 570 (2021)
Humberto Hayashi Sano, Lilian Berton
A Temporal Event Graph Approach and Robustness Analysis for Air Transport Network. IEEE Trans. Netw. Sci. Eng. 8 (4) (2021)
Bruno Klaus de Aquino Afonso, Lilian Berton
Analysis of label noise in graph-based semi-supervised learning. CoRR (2020)
Bruno Klaus de Aquino Afonso, Lilian Berton
Identifying noisy labels with a transductive semi-supervised leave-one-out filter. CoRR (2020)
Bruno Klaus de Aquino Afonso, Lilian Berton
Analysis of label noise in graph-based semi-supervised learning. SAC (2020)
Moshé Cotacallapa, Lilian Berton, Leonardo N. Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros
Measuring the engagement level in encrypted group conversations by using temporal networks. IJCNN (2020)
Bruno Klaus de Aquino Afonso, Lilian Berton
Identifying noisy labels with a transductive semi-supervised leave-one-out filter. Pattern Recognit. Lett. 140 (2020)
Willian Dihanster G. de Oliveira, Otávio A. B. Penatti, Lilian Berton
A comparison of graph-based semi-supervised learning for data augmentation. SIBGRAPI (2020)
Matheus A. De Castro Santos, Didier Augusto Vega-Oliveros, Liang Zhao, Lilian Berton
Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning. IEEE Access 8 (2020)
Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton
Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings. IJCNN (2020)
Humberto Hayashi Sano, Lilian Berton
Topology and robustness analysis of temporal air transport network. SAC (2020)
Didier Augusto Vega-Oliveros, Pedro Spoljaric Gomes, Evangelos E. Milios, Lilian Berton
A multi-centrality index for graph-based keyword extraction. Inf. Process. Manag. 56 (6) (2019)
Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton
Feature Selection for Clustering of Homicide Rates in the Brazilian State of Goias. CLEI Electron. J. 22 (3) (2019)
João Pedro Kerr Catunda, André Tavares da Silva, Lilian Berton
Car Plate Character Recognition Via Semi-Supervised Learning. BRACIS (2019)
Mozhgan Saeidi, Samuel Bruno da Silva Sousa, Evangelos E. Milios, Norbert Zeh, Lilian Berton
Categorizing Online Harassment on Twitter. PKDD/ECML Workshops (2) (2019)
Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton
Cluster analysis of homicide rates in the Brazilian state of Goias from 2002 to 2014. CoRR (2018)
Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton
Cluster Analysis of Homicide Rates in the Brazilian State of Goiás from 2002 to 2014. CLEI (2018)
Lilian Berton, Alneu de Andrade Lopes, Didier Augusto Vega-Oliveros
A Comparison of Graph Construction Methods for Semi-Supervised Learning. IJCNN (2018)
Didier Augusto Vega-Oliveros, Lilian Berton, Federico Vazquez, Francisco Aparecido Rodrigues
The Impact of Social Curiosity on Information Spreading on Networks. ASONAM (2017)
Lilian Berton, Thiago de Paulo Faleiros, Alan Valejo, Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes
RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning. Neurocomputing 226 (2017)
Didier Augusto Vega-Oliveros, Lilian Berton, Federico Vazquez, Francisco Aparecido Rodrigues
The Impact of Social Curiosity on Information Spreading on Networks. CoRR (2017)
Lilian Berton, Didier Augusto Vega-Oliveros, Jorge Carlos Valverde-Rebaza, André Tavares da Silva, Alneu de Andrade Lopes
The Impact of Network Sampling on Relational Classification. SIMBig (2016)
Lilian Berton, Didier Augusto Vega-Oliveros, Jorge Carlos Valverde-Rebaza, André Tavares da Silva, Alneu de Andrade Lopes
Network Sampling Based on Centrality Measures for Relational Classification. SIMBig (Revised Selected Papers) (2016)
Lilian Berton, Alneu de Andrade Lopes
Neighborhood graph construction for semi-supervised learning. AI Matters 2 (3) (2016)
Lilian Berton, Alneu de Andrade Lopes
Graph Construction for Semi-Supervised Learning. IJCAI (2015)
Lilian Berton, Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes
Link prediction in graph construction for supervised and semi-supervised learning. IJCNN (2015)
Didier Augusto Vega-Oliveros, Lilian Berton
Spreader Selection by Community to Maximize Information Diffusion in Social Networks. SIMBig (2015)
Jorge Carlos Valverde-Rebaza, Alan Valejo, Lilian Berton, Thiago de Paulo Faleiros, Alneu de Andrade Lopes
A naïve Bayes model based on ovelapping groups for link prediction in online social networks. SAC (2015)
Didier Augusto Vega-Oliveros, Lilian Berton, Alneu de Andrade Lopes, Francisco Aparecido Rodrigues
Influence Maximization Based on the Least Influential Spreaders. SocInf@IJCAI (2015)
Jorge Carlos Valverde-Rebaza, Aurea Soriano-Vargas, Lilian Berton, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes
Music Genre Classification Using Traditional and Relational Approaches. BRACIS (2014)
Lilian Berton, Alneu de Andrade Lopes
Graph Construction Based on Labeled Instances for Semi-supervised Learning. ICPR (2014)
Lucas Assirati, Núbia Rosa da Silva, Lilian Berton, Alneu de Andrade Lopes, Odemir Martinez Bruno
Performing edge detection by difference of Gaussians using q-Gaussian kernels. CoRR (2013)
Lilian Berton, Alneu de Andrade Lopes
Informativity-based graph: Exploring mutual kNN and labeled vertices for semi-supervised learning. CASoN (2012)
Nils Ever Murrugarra-Llerena, Lilian Berton, Alneu de Andrade Lopes
Graph-based cross-validated committees ensembles. CASoN (2012)
Lilian Berton, Jean Huertas, Bilzã Araújo, Liang Zhao
Identifying abnormal nodes in complex networks by using random walk measure. IEEE Congress on Evolutionary Computation (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lilian Berton