Ronaldo R. Goldschmidt

41 papers B 1Misc 1Journal 9Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Red Team Agent Learning with the Kill Chain Catalyst Algorithm in Capture the Flag Scenarios.
J. Braz. Comput. Soc.
Antonio José Horta Neto, Anderson Fernandes P. Santos, Ronaldo R. Goldschmidt
2025 — conf
Evaluating Biased Synthetic Data Effects on Large Language Model-Based Software Vulnerability Detection.
ICAART (3)
Lucas B. Germano, Lincoln de Queiroz Vieira, Ronaldo R. Goldschmidt, Julio Cesar Duarte, Ricardo Choren
2025 J jnl
Predicting Fluorescence Emission Wavelengths and Quantum Yields via Machine Learning.
J. Chem. Inf. Model.
Rubens C. Souza, Julio C. Duarte, Ronaldo R. Goldschmidt, Itamar Borges Jr.
2024 — conf
Avaliação de diferentes técnicas de agrupamento no contexto da Imputação em Cascata.
SBBD
Tarsila Tavares, Kele T. Belloze, Ronaldo R. Goldschmidt, Jorge Soares
2024 — conf
Combinando Redes Neurais Convolucionais e Distribuição Smoothed Pseudo Wigner Ville na Classificação de Sinais Radar de Baixa Probabilidade de Interceptação.
SBBD
Edgard B. Alves, Jorge A. Alves, Ronaldo R. Goldschmidt
2024 — conf
Evaluating CNN-Based Classification Models Combined with the Smoothed Pseudo Wigner-Ville Distribution to Identify Low Probability of Interception Radar Signals.
BRACIS (1)
Edgard B. Alves, Jorge A. Alves, Ronaldo R. Goldschmidt
2024 — conf
Methodology to build labeled corpora and classification models to assess technological readiness: a case study with defense technologies described by texts in pt-br.
SBBD
José Voltan, Romullo Girardi, Thassia Santos, Daniel Abreu, Júlio Farias, Diogo Araujo, Víctor Cruz, Ronaldo R. Goldschmidt
2024 J jnl
Transformers para previsão de desempenho acadêmico no ensino Fundamental e Médio.
Revista Brasileira de Informática na Educ.
Lorran Santos Rodrigues, Marcos dos Santos, Carlos Francisco Simões Gomes, Ricardo Choren, Ronaldo R. Goldschmidt, Saulo Barbará
2023 — conf
Métodos de Detecção de Fake News: Uma Comparação entre as Abordagens de Crowd Signals e Ensembles.
SBBD
Uriel Merola, Paulo Márcio Souza Freire, Ronaldo R. Goldschmidt, Jorge Soares
2022 J jnl
Identificando Suspeitos de Crimes por meio de Interações Implícitas no YouTube.
Braz. J. Inf. Syst.
Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2022 — conf
Social Bots Detection: A Method based on a Sentiment Lexicon Learned from Messages.
ICEIS (1)
Samir de Oliveira Ramos, Ronaldo R. Goldschmidt, Alex de V. Garcia
2022 — conf
Um Método Baseado em Fingerprint de Sinais e Aprendizado de Máquina para Identificação de Estações Terrenas Interferentes.
SBBD
Josinaldo Azevedo, Paulo C. S. Vidal, Ronaldo R. Goldschmidt
2021 — conf
A meta-classifier approach for outlier identification in geodetic networks.
GEOINFO
Stefano S. Suraci, Ronaldo R. Goldschmidt, Leonardo C. Oliveira, Ivandro Klein
2021 — conf
Identifying Suspects on Social Networks: An Approach based on Non-structured and Non-labeled Data.
ICEIS (1)
Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2020 J jnl
An edge creation history retrieval based method to predict links in social networks.
Knowl. Based Syst.
Érick S. Florentino, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt
2020 — conf
Identifying Criminal Suspects on Social Networks: A Vocabulary-Based Method.
WebMedia
Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2020 — conf
Link Prediction in Social Networks: An Edge Creation History-Retrieval Based Method that Combines Topological and Contextual Data.
BRACIS (2)
Argus A. B. Cavalcante, Cláudia Marcela Justel, Ronaldo R. Goldschmidt
2019 — conf
A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context.
ICEIS (1)
Ricardo Brandão, Ronaldo R. Goldschmidt, Ricardo Choren
2019 — conf
A Non-Deterministic Method to Construct Ensemble-Based Classifiers to Protect Decision Support Systems Against Adversarial Images: A Case Study.
SBSI
Gabriel R. Machado, Eugênio Silva, Ronaldo R. Goldschmidt
2019 — conf
A Topological Data Evolution Based Method to Predict Links in Social Networks.
SBSI
Érick S. Florentino, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt
2019 — conf
Link prediction in social networks: combining topological and contextual data in a community detection based method.
WebMedia
Camila Mesquita de Moraes, Eduardo Bezerra, Ronaldo R. Goldschmidt
2019 — conf
MultiMagNet: A Non-deterministic Approach based on the Formation of Ensembles for Defending Against Adversarial Images.
ICEIS (1)
Gabriel R. Machado, Ronaldo R. Goldschmidt, Eugênio Silva
2019 — conf
Multirelation Association Rule Mining on Datasets of the Web of Data.
SBSI
Felipe Alves de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2019 — conf
Sequential Sentiment Pattern Mining to Predict Churn in CRM Systems: A Case Study with Telecom Data.
SBSI
Thiago P. Pimentel, Ronaldo R. Goldschmidt
2018 — conf
A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks.
WebMedia
Ramon Silva, Augusto José Fonseca, Ronaldo R. Goldschmidt, Joel A. F. dos Santos, Eduardo Bezerra
2018 J jnl
Automatic feature selection for supervised learning in link prediction applications: a comparative study.
Knowl. Inf. Syst.
Antonio Pecli, Maria Cláudia Cavalcanti, Ronaldo R. Goldschmidt
2018 J jnl
Combining contextual, temporal and topological information for unsupervised link prediction in social networks.
Knowl. Based Syst.
Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt, Ricardo Choren
2018 — conf
Context-based Time Score: An Effective Similarity Function for Link Prediction in Social Networks.
WebMedia
Argus A. B. Cavalcante, Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt
2017 — conf
Mineração de Regras de Associação Multirrelação em Grafos: Direcionando o Processo de Busca.
SBBD (Short Papers)
Felipe A. de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2017 — conf
Using a Time based Relationship Weighting Criterion to Improve Link Prediction in Social Networks.
ICEIS (1)
Carlos P. M. T. Muniz, Ricardo Choren, Ronaldo R. Goldschmidt
2017 — conf
Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks.
ICEIS (Revised Selected Papers)
Carlos Pedro Muniz, Ronaldo R. Goldschmidt, Ricardo Choren
2016 J jnl
MEMORE: an Environment for Data Collection and Analysis on the Use of Computers in Education.
Informatics Educ.
Ronaldo R. Goldschmidt, Isabel Fernandes de Souza, Mônica Norris, Claudio Azevedo Passos, Cláudia Ferlin, Maria Cláudia Cavalcanti, Jorge Soares
2015 — conf
Dimensionality Reduction for Supervised Learning in Link Prediction Problems.
ICEIS (1)
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
2012 J jnl
A Reuse-based Environment to Build Ensembles for Time Series Forecasting.
J. Softw.
Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren
2011 B conf
Complementing Data in the ETL Process.
DaWaK
Lívia de S. Ribeiro, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2010 — conf
An Extensible Ensemble Environment for Time Series Forecasting.
ICEIS (2)
Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren
2008 — conf
Aprimorando Processos de Imputação Multivariada de Dados com Workflows.
SBBD
Rafael Castañeda, Cláudia Ferlin, Ronaldo R. Goldschmidt, Jorge de Abreu Soares, Luís Alfredo V. de Carvalho, Ricardo Choren
2007 — conf
Uma Estratégia baseada em Técnicas de KDD para apoiar o Projeto Físico em SGBDs XML Nativos.
SBBD
Miriam Oliveira dos Santos, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
2005 — conf
Assistance in KDD Task Definition Process.
IICAI
Ronaldo R. Goldschmidt, Emmanuel L. P. Passos
2004 — conf
Assistance in Selecting KDD Algorithms.
CCCT (1)
Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Roberval A. Godoy, Frank Schettini, Angelo Paolino
2002 Misc conf
A Goal Definition Assistant Applied to KDD Process.
IC-AI
Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Marley M. B. R. Vellasco