A Goal Definition Assistant Applied to KDD Process. - Ronaldo R. Goldschmidt; Emmanuel L. P. Passos; Marley M. B. R. Vellasco (IC-AI, 2002)

Assistance in Selecting KDD Algorithms. - Ronaldo R. Goldschmidt; Emmanuel L. P. Passos; Roberval A. Godoy; Frank Schettini; Angelo Paolino (CCCT (1), 2004)

Assistance in KDD Task Definition Process. - Ronaldo R. Goldschmidt; Emmanuel L. P. Passos (IICAI, 2005)

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 (SBBD, 2007)

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 (SBBD, 2008)

An Extensible Ensemble Environment for Time Series Forecasting. - Claudio Ribeiro; Ronaldo R. Goldschmidt; Ricardo Choren (ICEIS (2), 2010)

Complementing Data in the ETL Process. - Lívia de S. Ribeiro; Ronaldo R. Goldschmidt; Maria Cláudia Cavalcanti (DaWaK, 2011)

A Reuse-based Environment to Build Ensembles for Time Series Forecasting. - Claudio Ribeiro; Ronaldo R. Goldschmidt; Ricardo Choren (J. Softw., 2012)

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)

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 (ICEIS (1), 2015)

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 Soares 001 (Informatics Educ., 2016)

Using a Time based Relationship Weighting Criterion to Improve Link Prediction in Social Networks. - Carlos P. M. T. Muniz; Ricardo Choren; Ronaldo R. Goldschmidt (ICEIS (1), 2017)

Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks. - Carlos Pedro Muniz; Ronaldo R. Goldschmidt; Ricardo Choren (ICEIS (Revised Selected Papers), 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 (SBBD (Short Papers), 2017)

Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach. - Ricardo de Azevedo Brandão; Ronaldo Ribeiro Goldschmidt (WebMedia, 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)

Morphogenesis-Based Multidimensional Shape Formation of Swarms. - Andre Luiz Braga; Ronaldo Ribeiro Goldschmidt; Paulo Fernando Ferreira Rosa (CEC, 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 (SBBD, 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 (WebMedia, 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 002 (WebMedia, 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)

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)

A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context. - Ricardo Brandão 001; Ronaldo R. Goldschmidt; Ricardo Choren (ICEIS (1), 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 (ICEIS (1), 2019)

Deep Neural Networks Applied to User Recognition Based on Keystroke Dynamics: Learning from Raw Data. - Marco Aurélio da Silva Cruz; Ronaldo Ribeiro Goldschmidt (SBSI, 2019)

A Topological Data Evolution Based Method to Predict Links in Social Networks. - Érick S. Florentino; Argus A. B. Cavalcante; Ronaldo R. Goldschmidt (SBSI, 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 (SBSI, 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 (SBSI, 2019)

Sequential Sentiment Pattern Mining to Predict Churn in CRM Systems: A Case Study with Telecom Data. - Thiago P. Pimentel; Ronaldo R. Goldschmidt (SBSI, 2019)

Fake news detection on social media via implicit crowd signals. - Paulo Márcio Souza Freire; Ronaldo Ribeiro Goldschmidt (WebMedia, 2019)

Link prediction in social networks: combining topological and contextual data in a community detection based method. - Camila Mesquita de Moraes; Eduardo Bezerra 002; Ronaldo R. Goldschmidt (WebMedia, 2019)

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 (BRACIS (2), 2020)

Identifying Criminal Suspects on Social Networks: A Vocabulary-Based Method. - Érick S. Florentino; Ronaldo R. Goldschmidt; Maria Cláudia Cavalcanti (WebMedia, 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 (WebMedia, 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 (WebMedia, 2020)

Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective. - Gabriel Resende Machado; Eugênio Silva; Ronaldo Ribeiro Goldschmidt (CoRR, 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)

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)

A meta-classifier approach for outlier identification in geodetic networks. - Stefano S. Suraci; Ronaldo R. Goldschmidt; Leonardo C. Oliveira; Ivandro Klein (GEOINFO, 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 (ICEIS (1), 2021)

Fraud Detection in Social Commerce: combining structured attributes and images. - Apolo Takeshi Arai Batista; Karla Tereza Figueiredo; Ronaldo Ribeiro Goldschmidt (SBSI, 2021)

Exploring Interactions in YouTube to Support the Identification of Crime Suspects. - Érick da Silva Florentino; Ronaldo Ribeiro Goldschmidt; Maria Cláudia Reis Cavalcanti (SBSI, 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 (WebMedia, 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)

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)

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)

Social Bots Detection: A Method based on a Sentiment Lexicon Learned from Messages. - Samir de O. Ramos; Ronaldo R. Goldschmidt; Alex de V. Garcia (ICEIS (1), 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 (SBBD, 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)

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 001 (SBBD, 2023)

Ensembles to Detect Fake News - An Approach Based on Specialized Classifiers. - Patrick Antunes dos Santos; Paulo Márcio Souza Freire; Ronaldo Ribeiro Goldschmidt (WebMedia, 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 (WebMedia, 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)

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 (BRACIS (1), 2024)

Combinando Redes Neurais Convolucionais e Distribuição Smoothed Pseudo Wigner Ville na Classificação de Sinais Radar de Baixa Probabilidade de Interceptação. - Edgard B. Alves; Jorge A. Alves; Ronaldo R. Goldschmidt (SBBD, 2024)

Avaliação de diferentes técnicas de agrupamento no contexto da Imputação em Cascata. - Tarsila Tavares; Kele T. Belloze; Ronaldo R. Goldschmidt; Jorge Soares 001 (SBBD, 2024)

Methodology to build labeled corpora and classification models to assess technological readiness: a case study with defense technologies described by texts in pt-br. - José Voltan; Romullo Girardi; Thassia Santos; Daniel Abreu; Júlio Farias; Diogo Araujo; Víctor Cruz; Ronaldo R. Goldschmidt (SBBD, 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 (SBSI, 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)

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)

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)

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., 2024)

Evaluating Biased Synthetic Data Effects on Large Language Model-Based Software Vulnerability Detection. - Lucas B. Germano; Lincoln Q. Vieira; Ronaldo R. Goldschmidt; Julio Cesar Duarte; Ricardo Choren (ICAART (3), 2025)

A Process for Building Datasets that Enable the Application of Different Methods for Detecting Fake News and Social Bots. - Jeferson Luis Gonçalves; Lucas Barboza de Menezes Torres; Paulo Márcio Souza Freire; Ronaldo Ribeiro Goldschmidt (SBSI, 2025)

Predicting Fluorescence Emission Wavelengths and Quantum Yields via Machine Learning. - Rubens C. Souza; Julio C. Duarte; Ronaldo R. Goldschmidt; Itamar Borges Jr. (J. Chem. Inf. Model., 2025)

Evaluating the stealth of reinforcement learning-based cyber attacks against unknown scenarios using knowledge transfer techniques. - Antonio José Horta Neto; Anderson Fernandes Pereira dos Santos; Ronaldo Ribeiro Goldschmidt (J. Comput. Secur., 2025)