Lilian Berton

According to our database, Lilian Berton authored at least 45 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?

Dilermando Queiroz, Anderson Carlos, Maíra Fatoretto, André Anjos, Lilian Berton, Luis Filipe Nakayama

CoRR, 2024

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data.

Dilermando Queiroz, André Anjos, Lilian Berton

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

2023

A systematic review for class-imbalance in semi-supervised learning.

Willian Dihanster G. de Oliveira, Lilian Berton

Artif. Intell. Rev., November, 2023

A review of semi-supervised learning for text classification.

José Márcio Duarte, Lilian Berton

Artif. Intell. Rev., September, 2023

An Enhanced Framework for Overcoming Pitfalls and Enabling Model Interpretation in Pneumonia and Covid-19 Classification.

Matheus A. De Castro Santos, Lilian Berton

IEEE Access, 2023

Project-Based Learning in the Development of a Job-Matching Website for Women in STEM.

Amanda Ribeiro Fontes, Henrique Mohallem Paiva, Lilian Berton

Proceedings of the IEEE International Conference on Teaching, 2023

Graph-based semi-supervised classification for similar wildfire dynamics.

Lilian Berton, Pedro Oliveira, Didier A. Vega-Oliveros

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Analysis of active semi-supervised learning.

Lilian Berton, Felipe Mitsuishi, Didier Augusto Vega-Oliveros

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

2022

Link Prediction Based on Stochastic Information Diffusion.

Didier A. Vega-Oliveros, Liang Zhao, Anderson Rocha, Lilian Berton

IEEE Trans. Neural Networks Learn. Syst., 2022

Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths.

Rodney Rick, Lilian Berton

Eng. Appl. Artif. Intell., 2022

QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory.

Bruno Klaus de Aquino Afonso, Lilian Berton

CoRR, 2022

2021

A Temporal Event Graph Approach and Robustness Analysis for Air Transport Network.

Humberto Hayashi Sano, Lilian Berton

IEEE Trans. Netw. Sci. Eng., 2021

Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations.

José Márcio Duarte, Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton

Inf. Sci., 2021

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA.

Klaifer Garcia, Lilian Berton

Appl. Soft Comput., 2021

Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier.

Bruno Klaus de Aquino Afonso, Lilian Berton

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Identifying noisy labels with a transductive semi-supervised leave-one-out filter.

Bruno Klaus de Aquino Afonso, Lilian Berton

Pattern Recognit. Lett., 2020

Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning.

Matheus A. De Castro Santos, Didier Augusto Vega-Oliveros, Liang Zhao, Lilian Berton

IEEE Access, 2020

A comparison of graph-based semi-supervised learning for data augmentation.

Willian Dihanster G. de Oliveira, Otávio A. B. Penatti, Lilian Berton

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Topology and robustness analysis of temporal air transport network.

Humberto Hayashi Sano, Lilian Berton

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Analysis of label noise in graph-based semi-supervised learning.

Bruno Klaus de Aquino Afonso, Lilian Berton

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings.

Samuel Bruno da Silva Sousa, Evangelos E. Milios, Lilian Berton

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Measuring the engagement level in encrypted group conversations by using temporal networks.

Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A multi-centrality index for graph-based keyword extraction.

Didier Augusto Vega-Oliveros, Pedro Spoljaric Gomes, Evangelos E. Milios, Lilian Berton

Inf. Process. Manag., 2019

Feature Selection for Clustering of Homicide Rates in the Brazilian State of Goias.

Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton

CLEI Electron. J., 2019

Categorizing Online Harassment on Twitter.

Mozhgan Saeidi, Samuel Bruno da Silva Sousa, Evangelos E. Milios, Norbert Zeh, Lilian Berton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Car Plate Character Recognition Via Semi-Supervised Learning.

João Pedro Kerr Catunda, André Tavares da Silva, Lilian Berton

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

A Comparison of Graph Construction Methods for Semi-Supervised Learning.

Lilian Berton, Alneu de Andrade Lopes, Didier Augusto Vega-Oliveros

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cluster Analysis of Homicide Rates in the Brazilian State of Goiás from 2002 to 2014.

Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton

Proceedings of the XLIV Latin American Computer Conference, 2018

2017

RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning.

Lilian Berton, Thiago de Paulo Faleiros, Alan Valejo, Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes

Neurocomputing, 2017

The Impact of Social Curiosity on Information Spreading on Networks.

Didier Augusto Vega-Oliveros, Lilian Berton, Federico Vazquez, Francisco Aparecido Rodrigues

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Graph construction based on neighborhood for semisupervised.

Lilian Berton

PhD thesis, 2016

Neighborhood graph construction for semi-supervised learning.

Lilian Berton, Alneu de Andrade Lopes

AI Matters, 2016

Network Sampling Based on Centrality Measures for Relational Classification.

Lilian Berton, Didier Augusto Vega-Oliveros, Jorge Carlos Valverde-Rebaza, André Tavares da Silva, Alneu de Andrade Lopes

Proceedings of the Information Management and Big Data, 2016

The Impact of Network Sampling on Relational Classification.

Lilian Berton, Didier Augusto Vega-Oliveros, Jorge Carlos Valverde-Rebaza, André Tavares da Silva, Alneu de Andrade Lopes

Proceedings of the 3rd Annual International Symposium on Information Management and Big Data, 2016

2015

Spreader Selection by Community to Maximize Information Diffusion in Social Networks.

Didier Augusto Vega-Oliveros, Lilian Berton

Proceedings of the 2nd Annual International Symposium on Information Management and Big Data, 2015

A naïve Bayes model based on ovelapping groups for link prediction in online social networks.

Jorge Carlos Valverde-Rebaza, Alan Valejo, Lilian Berton, Thiago de Paulo Faleiros, Alneu de Andrade Lopes

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Link prediction in graph construction for supervised and semi-supervised learning.

Lilian Berton, Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Influence Maximization Based on the Least Influential Spreaders.

Didier Augusto Vega-Oliveros, Lilian Berton, Alneu de Andrade Lopes, Francisco Aparecido Rodrigues

Proceedings of the 1st International Workshop on Social Influence Analysis, 2015

Graph Construction for Semi-Supervised Learning.

Lilian Berton, Alneu de Andrade Lopes

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Graph Construction Based on Labeled Instances for Semi-supervised Learning.

Lilian Berton, Alneu de Andrade Lopes

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Music Genre Classification Using Traditional and Relational Approaches.

Jorge Carlos Valverde-Rebaza, Aurea Soriano-Vargas, Lilian Berton, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Performing edge detection by difference of Gaussians using q-Gaussian kernels.

Lucas Assirati, Núbia Rosa da Silva, Lilian Berton, Alneu de Andrade Lopes, Odemir Martinez Bruno

CoRR, 2013

2012

Graph-based cross-validated committees ensembles.

Nils Ever Murrugarra-Llerena, Lilian Berton, Alneu de Andrade Lopes

Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

Informativity-based graph: Exploring mutual kNN and labeled vertices for semi-supervised learning.

Lilian Berton, Alneu de Andrade Lopes

Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2010

Identifying abnormal nodes in complex networks by using random walk measure.

Lilian Berton, Jean Huertas, Bilzã Araújo, Liang Zhao

Proceedings of the IEEE Congress on Evolutionary Computation, 2010