Ronaldo R. Goldschmidt

According to our database, Ronaldo R. Goldschmidt authored at least 59 papers between 2002 and 2024.

Collaborative distances:

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

2024

JEDi - a digital educational game to support student training in identifying portuguese-written fake news: Case studies in high school, undergraduate and graduate scenarios.

Treice de Oliveira Moreira, Claudio Azevedo Passos, Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, Isabel Fernandes de Souza, Cláudia Rödel Bosaipo Sales da Silva, Ronaldo Ribeiro Goldschmidt

Educ. Inf. Technol., July, 2024

Transformers para previsão de desempenho acadêmico no ensino Fundamental e Médio.

Lorran Santos Rodrigues, Marcos dos Santos, Carlos Francisco Simões Gomes, Ricardo Choren, Ronaldo R. Goldschmidt, Saulo Barbará

Revista Brasileira de Informática na Educ., 2024

Early detection of fake news on virtual social networks: A time-aware approach based on crowd signals.

Argus A. B. Cavalcante, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt, Cláudia Marcela Justel

Expert Syst. Appl., 2024

Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems.

Mateus Guimarães Lima, Antony Carvalho, João Gabriel Álvares, Clayton Escouper das Chagas, Ronaldo Ribeiro Goldschmidt

CoRR, 2024

Improving Implicit Crowd Signals Based Fake News Detection on Social Media: A Time-Aware Method for Early Detection.

Argus Antonio Barbosa Cavalcante, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt, Cláudia Marcela Justel

Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals.

Edgard B. Alves, Jorge A. Alves, Ronaldo R. Goldschmidt

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023

Adversarial Machine Learning in Image Classification: A Survey Toward the Defender's Perspective.

Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt

ACM Comput. Surv., 2023

A Contextualized Embeddings-based Method to Detect Suicide Ideations in Texts.

Wallace Da Silva Coelho Valadão, Eric Rodrigues Da Silva, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Ensembles to Detect Fake News - An Approach Based on Specialized Classifiers.

Patrick Antunes dos Santos, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Métodos de Detecção de Fake News: Uma Comparação entre as Abordagens de Crowd Signals e Ensembles.

Uriel Merola, Paulo Márcio Souza Freire, Ronaldo R. Goldschmidt, Jorge Soares

Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022

Identificando Suspeitos de Crimes por meio de Interações Implícitas no YouTube.

Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Braz. J. Inf. Syst., 2022

Um Método Baseado em Fingerprint de Sinais e Aprendizado de Máquina para Identificação de Estações Terrenas Interferentes.

Josinaldo Azevedo, Paulo C. S. Vidal, Ronaldo R. Goldschmidt

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Social Bots Detection: A Method based on a Sentiment Lexicon Learned from Messages.

Samir de O. Ramos, Ronaldo R. Goldschmidt, Alex de V. Garcia

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

2021

A Reduced Network Traffic Method for IoT Data Clustering.

Ricardo de Azevedo Brandão, Gabriel Resende Machado, Ronaldo Ribeiro Goldschmidt, Ricardo Choren

ACM Trans. Knowl. Discov. Data, 2021

JEDi - Um Jogo Educacional Digital para Apoiar a Capacitação Discente na Identificação de Fake News Escritas em Língua Portuguesa: Estudos de Caso nos Ensinos Médio e Superior.

Claudio Azevedo Passos, Flávio Roberto Matias da Silva, Isabel Fernandes de Souza, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Revista Brasileira de Informática na Educ., 2021

Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning.

Paulo Márcio Souza Freire, Flávio Roberto Matias da Silva, Ronaldo Ribeiro Goldschmidt

Expert Syst. Appl., 2021

A Sentiment-Based Multimodal Method to Detect Fake News.

Igor Maffei Libonati Maia, Marcelo Pereira de Souza, Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

Exploring Interactions in YouTube to Support the Identification of Crime Suspects.

Érick da Silva Florentino, Ronaldo Ribeiro Goldschmidt, Maria Cláudia Reis Cavalcanti

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Fraud Detection in Social Commerce: combining structured attributes and images.

Apolo Takeshi Arai Batista, Karla Tereza Figueiredo, Ronaldo Ribeiro Goldschmidt

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Identifying Suspects on Social Networks: An Approach based on Non-structured and Non-labeled Data.

Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

A meta-classifier approach for outlier identification in geodetic networks.

Stefano S. Suraci, Ronaldo R. Goldschmidt, Leonardo C. Oliveira, Ivandro Klein

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020

An edge creation history retrieval based method to predict links in social networks.

Érick S. Florentino, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt

Knowl. Based Syst., 2020

Minerando Regras de Associação de Multirrelação na Web de Dados.

Felipe Alves de Oliveira, Guilherme dos Santos Villote, Raquel Lopes Costa, Ronaldo Ribeiro Goldschmidt, Maria Cláudia Cavalcanti

Braz. J. Inf. Syst., 2020

Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective.

Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt

CoRR, 2020

A Linguistic-Based Method that Combines Polarity, Emotion and Grammatical Characteristics to Detect Fake News in Portuguese.

Marcelo Pereira de Souza, Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

FakeNewsSetGen: a Process to Build Datasets that Support Comparison Among Fake News Detection Methods.

Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, Marcelo Pereira de Souza, Gustavo de A. B. Plenamente, Ronaldo Ribeiro Goldschmidt

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Identifying Criminal Suspects on Social Networks: A Vocabulary-Based Method.

Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Link Prediction in Social Networks: An Edge Creation History-Retrieval Based Method that Combines Topological and Contextual Data.

Argus A. B. Cavalcante, Cláudia Marcela Justel, Ronaldo R. Goldschmidt

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Link prediction in social networks: combining topological and contextual data in a community detection based method.

Camila Mesquita de Moraes, Eduardo Bezerra, Ronaldo R. Goldschmidt

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

<i>Fake news</i> detection on social media via implicit crowd signals.

Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Sequential Sentiment Pattern Mining to Predict Churn in CRM Systems: A Case Study with Telecom Data.

Thiago P. Pimentel, Ronaldo R. Goldschmidt

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Multirelation Association Rule Mining on Datasets of the Web of Data.

Felipe Alves de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

A Non-Deterministic Method to Construct Ensemble-Based Classifiers to Protect Decision Support Systems Against Adversarial Images: A Case Study.

Gabriel R. Machado, Eugênio Silva, Ronaldo R. Goldschmidt

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

A Topological Data Evolution Based Method to Predict Links in Social Networks.

Érick S. Florentino, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Deep Neural Networks Applied to User Recognition Based on Keystroke Dynamics: Learning from Raw Data.

Marco Aurélio da Silva Cruz, Ronaldo Ribeiro Goldschmidt

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

MultiMagNet: A Non-deterministic Approach based on the Formation of Ensembles for Defending Against Adversarial Images.

Gabriel R. Machado, Ronaldo R. Goldschmidt, Eugênio Silva

Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context.

Ricardo Brandão, Ronaldo R. Goldschmidt, Ricardo Choren

Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

2018

Combining contextual, temporal and topological information for unsupervised link prediction in social networks.

Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt, Ricardo Choren

Knowl. Based Syst., 2018

Automatic feature selection for supervised learning in link prediction applications: a comparative study.

Antonio Pecli, Maria Cláudia Cavalcanti, Ronaldo R. Goldschmidt

Knowl. Inf. Syst., 2018

A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks.

Ramon Silva, Augusto José Fonseca, Ronaldo R. Goldschmidt, Joel A. F. dos Santos, Eduardo Bezerra

Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

Context-based Time Score: An Effective Similarity Function for Link Prediction in Social Networks.

Argus A. B. Cavalcante, Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt

Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

Apoiando o Processo de Imputação com Técnicas de Aprendizado de Máquina.

Rodrigo Tavares de Souza, Rafael Castañeda, Cláudia Ferlin, Ronaldo Ribeiro Goldschmidt, Luís Alfredo V. Carvalho, Jorge de Abreu Soares

Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Morphogenesis-Based Multidimensional Shape Formation of Swarms.

Andre Luiz Braga, Ronaldo Ribeiro Goldschmidt, Paulo Fernando Ferreira Rosa

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Dinâmica da Digitação Aplicada à Autenticação Periódica de Usuários em Ambientes Virtuais de Aprendizagem.

Marco Aurélio da Silva Cruz, Julio Cesar Duarte, Ronaldo Ribeiro Goldschmidt

Revista Brasileira de Informática na Educ., 2017

Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach.

Ricardo de Azevedo Brandão, Ronaldo Ribeiro Goldschmidt

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

Mineração de Regras de Associação Multirrelação em Grafos: Direcionando o Processo de Busca.

Felipe A. de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks.

Carlos Pedro Muniz, Ronaldo R. Goldschmidt, Ricardo Choren

Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Using a Time based Relationship Weighting Criterion to Improve Link Prediction in Social Networks.

Carlos P. M. T. Muniz, Ricardo Choren, Ronaldo R. Goldschmidt

Proceedings of the ICEIS 2017, 2017

2016

MEMORE: an Environment for Data Collection and Analysis on the Use of Computers in Education.

Ronaldo R. Goldschmidt, Isabel Fernandes de Souza, Mônica Norris, Claudio Azevedo Passos, Cláudia Ferlin, Maria Cláudia Cavalcanti, Jorge de Abreu Soares

Informatics Educ., 2016

2015

Dimensionality Reduction for Supervised Learning in Link Prediction Problems.

Antonio Pecli, Bruno Giovanini, Carla C. Pacheco, Carlos Moreira, Fernando Ferreira, Frederico Tosta, Júlio Tesolin, Marcio Vinicius Dias, Silas P. Lima Filho, Maria Cláudia Cavalcanti, Ronaldo R. Goldschmidt

Proceedings of the ICEIS 2015, 2015

2014

MEMORE - Um Ambiente para Apoio ao Acompanhamento da Utilização de Computadores na Educação.

Ronaldo Ribeiro Goldschmidt, Isabel Fernandes de Souza, Claudio Azevedo Passos, Mônica Norris, Cláudia Ferlin, Maria Cláudia Cavalcanti, Jorge de Abreu Soares

Revista Brasileira de Informática na Educ., 2014

2012

A Reuse-based Environment to Build Ensembles for Time Series Forecasting.

Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren

J. Softw., 2012

2011

Complementing Data in the ETL Process.

Lívia de S. Ribeiro, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the Data Warehousing and Knowledge Discovery, 2011

2010

An Extensible Ensemble Environment for Time Series Forecasting.

Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren

Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

2008

Aprimorando Processos de Imputação Multivariada de Dados com Workflows.

Rafael Castañeda, Cláudia Ferlin, Ronaldo R. Goldschmidt, Jorge de Abreu Soares, Luís Alfredo V. de Carvalho, Ricardo Choren

Proceedings of the XXIII Simpósio Brasileiro de Banco de Dados, 2008

2007

Uma Estratégia baseada em Técnicas de KDD para apoiar o Projeto Físico em SGBDs XML Nativos.

Miriam Oliveira dos Santos, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti

Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007

2005

Assistance in KDD Task Definition Process.

Ronaldo R. Goldschmidt, Emmanuel L. P. Passos

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004

Assistance in Selecting KDD Algorithms.

Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Roberval A. Godoy, Frank Schettini, Angelo Paolino

Proceedings of the 2nd International Conference Computing, 2004

2002

A Goal Definition Assistant Applied to KDD Process.

Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Marley M. B. R. Vellasco

Proceedings of the International Conference on Artificial Intelligence, 2002