Identifying abnormal nodes in complex networks by using random walk measure. - Lilian Berton; Jean Huertas; Bilzã Araújo; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2010)

Informativity-based graph: Exploring mutual kNN and labeled vertices for semi-supervised learning. - Lilian Berton; Alneu de Andrade Lopes (CASoN, 2012)

Graph-based cross-validated committees ensembles. - Nils Ever Murrugarra-Llerena; Lilian Berton; Alneu de Andrade Lopes (CASoN, 2012)

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)

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 (BRACIS, 2014)

Graph Construction Based on Labeled Instances for Semi-supervised Learning. - Lilian Berton; Alneu de Andrade Lopes (ICPR, 2014)

Graph Construction for Semi-Supervised Learning. - Lilian Berton; Alneu de Andrade Lopes (IJCAI, 2015)

Influence Maximization Based on the Least Influential Spreaders. - Didier Augusto Vega-Oliveros; Lilian Berton; Alneu de Andrade Lopes; Francisco Aparecido Rodrigues (SocInf@IJCAI, 2015)

Link prediction in graph construction for supervised and semi-supervised learning. - Lilian Berton; Jorge Carlos Valverde-Rebaza; Alneu de Andrade Lopes (IJCNN, 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 (SAC, 2015)

Spreader Selection by Community to Maximize Information Diffusion in Social Networks. - Didier Augusto Vega-Oliveros; Lilian Berton (SIMBig, 2015)

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 (SIMBig, 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 (SIMBig (Revised Selected Papers), 2016)

Neighborhood graph construction for semi-supervised learning. - Lilian Berton; Alneu de Andrade Lopes (AI Matters, 2016)

Graph construction based on neighborhood for semisupervised. - Lilian Berton (2016)

The Impact of Social Curiosity on Information Spreading on Networks. - Didier Augusto Vega-Oliveros; Lilian Berton; Federico Vazquez; Francisco Aparecido Rodrigues (ASONAM, 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)

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 (CLEI, 2018)

A Comparison of Graph Construction Methods for Semi-Supervised Learning. - Lilian Berton; Alneu de Andrade Lopes; Didier Augusto Vega-Oliveros (IJCNN, 2018)

Car Plate Character Recognition Via Semi-Supervised Learning. - João Pedro Kerr Catunda; André Tavares da Silva; Lilian Berton (BRACIS, 2019)

Categorizing Online Harassment on Twitter. - Mozhgan Saeidi; Samuel Bruno da Silva Sousa; Evangelos E. Milios; Norbert Zeh; Lilian Berton (PKDD/ECML Workshops (2), 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)

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)

Measuring the engagement level in encrypted group conversations by using temporal networks. - Moshé Cotacallapa; Lilian Berton; Leonardo Nascimento Ferreira; Marcos G. Quiles; Liang Zhao 001; Elbert E. N. Macau; Didier A. Vega-Oliveros (IJCNN, 2020)

Word sense disambiguation: an evaluation study of semi-supervised approaches with word embeddings. - Samuel Bruno da Silva Sousa; Evangelos E. Milios; Lilian Berton (IJCNN, 2020)

Analysis of label noise in graph-based semi-supervised learning. - Bruno Klaus de Aquino Afonso; Lilian Berton (SAC, 2020)

Topology and robustness analysis of temporal air transport network. - Humberto Hayashi Sano; Lilian Berton (SAC, 2020)

A comparison of graph-based semi-supervised learning for data augmentation. - Willian Dihanster G. de Oliveira; Otávio A. B. Penatti; Lilian Berton (SIBGRAPI, 2020)

Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning. - Matheus A. De Castro Santos; Didier Augusto Vega-Oliveros; Liang Zhao 001; Lilian Berton (IEEE Access, 2020)

Identifying noisy labels with a transductive semi-supervised leave-one-out filter. - Bruno Klaus de Aquino Afonso; Lilian Berton (Pattern Recognit. Lett., 2020)

Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier. - Bruno Klaus de Aquino Afonso; Lilian Berton (BRACIS (1), 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)

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)

A Temporal Event Graph Approach and Robustness Analysis for Air Transport Network. - Humberto Hayashi Sano; Lilian Berton (IEEE Trans. Netw. Sci. Eng., 2021)

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)

Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths. - Rodney Rick; Lilian Berton (Eng. Appl. Artif. Intell., 2022)

Link Prediction Based on Stochastic Information Diffusion. - Didier A. Vega-Oliveros; Liang Zhao 001; Anderson Rocha 001; Lilian Berton (IEEE Trans. Neural Networks Learn. Syst., 2022)

Analysis of active semi-supervised learning. - Lilian Berton; Felipe Mitsuishi; Didier Augusto Vega-Oliveros (SAC, 2023)

Graph-based semi-supervised classification for similar wildfire dynamics. - Lilian Berton; Pedro Oliveira; Didier A. Vega-Oliveros (SAC, 2023)

Project-Based Learning in the Development of a Job-Matching Website for Women in STEM. - Amanda Ribeiro Fontes; Henrique Mohallem Paiva; Lilian Berton (TALE, 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)

A review of semi-supervised learning for text classification. - José Márcio Duarte; Lilian Berton (Artif. Intell. Rev., 2023)

A systematic review for class-imbalance in semi-supervised learning. - Willian Dihanster G. de Oliveira; Lilian Berton (Artif. Intell. Rev., 2023)

Siamese Network-Based Prioritization for Enhanced Multi-document Summarization. - Klaifer Garcia; Lilian Berton (BRACIS (2), 2024)

Gender-Neutral English to Portuguese Machine Translator: Promoting Inclusive Language. - Ricardo Trainotti Rabonato; Evangelos E. Milios; Lilian Berton (BRACIS (4), 2024)

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data. - Dilermando Queiroz; André Anjos; Lilian Berton (FAIMI/EPIMI@MICCAI, 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)

Optimizing fairness and utility in healthcare machine learning models. - Maíra Fatoretto; Gökhan Özbulak; André Anjos; Lilian Berton (Appl. Soft Comput., 2025)

Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives. - Dilermando Queiroz; Anderson Carlos; André Anjos; Lilian Berton (CoRR, 2025)

A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems. - Gökhan Özbulak; Oscar Alfonso Jiménez del Toro; Maíra Fatoretto; Lilian Berton; André Anjos (CoRR, 2025)

A comparative study of pre-processing algorithms for fair classification in few labeled data context. - Willian Dihanster G. de Oliveira; Lilian Berton (AI Ethics, 2025)

A systematic review of fairness in machine learning. - Ricardo Trainotti Rabonato; Lilian Berton (AI Ethics, 2025)