Ronaldo R. Goldschmidt

Orcid: 0000-0003-1688-0586

According to our database1, Ronaldo R. Goldschmidt authored at least 53 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender's Perspective.
ACM Comput. Surv., 2023

A Contextualized Embeddings-based Method to Detect Suicide Ideations in Texts.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Ensembles to Detect Fake News - An Approach Based on Specialized Classifiers.
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.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022
Identificando Suspeitos de Crimes por meio de Interações Implícitas no YouTube.
Braz. J. Inf. Syst., 2022

Um Método Baseado em Fingerprint de Sinais e Aprendizado de Máquina para Identificação de Estações Terrenas Interferentes.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

Social Bots Detection: A Method based on a Sentiment Lexicon Learned from Messages.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

2021
A Reduced Network Traffic Method for IoT Data Clustering.
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.
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.
Expert Syst. Appl., 2021

A Sentiment-Based Multimodal Method to Detect Fake News.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

Exploring Interactions in YouTube to Support the Identification of Crime Suspects.
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.
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.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

A meta-classifier approach for outlier identification in geodetic networks.
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.
Knowl. Based Syst., 2020

Minerando Regras de Associação de Multirrelação na Web de Dados.
Braz. J. Inf. Syst., 2020

Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective.
CoRR, 2020

A Linguistic-Based Method that Combines Polarity, Emotion and Grammatical Characteristics to Detect Fake News in Portuguese.
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.
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.
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.
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.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

<i>Fake news</i> detection on social media via implicit crowd signals.
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.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Multirelation Association Rule Mining on Datasets of the Web of Data.
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.
Proceedings of the XV Brazilian Symposium on Information Systems, 2019

A Topological Data Evolution Based Method to Predict Links in Social Networks.
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.
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.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context.
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.
Knowl. Based Syst., 2018

Automatic feature selection for supervised learning in link prediction applications: a comparative study.
Knowl. Inf. Syst., 2018

A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks.
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.
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

Apoiando o Processo de Imputação com Técnicas de Aprendizado de Máquina.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Morphogenesis-Based Multidimensional Shape Formation of Swarms.
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.
Revista Brasileira de Informática na Educ., 2017

Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach.
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.
Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Using a Time based Relationship Weighting Criterion to Improve Link Prediction in Social Networks.
Proceedings of the ICEIS 2017, 2017

2016
MEMORE: an Environment for Data Collection and Analysis on the Use of Computers in Education.
Informatics Educ., 2016

2015
Dimensionality Reduction for Supervised Learning in Link Prediction Problems.
Proceedings of the ICEIS 2015, 2015

2014
MEMORE - Um Ambiente para Apoio ao Acompanhamento da Utilização de Computadores na Educação.
Revista Brasileira de Informática na Educ., 2014

2012
A Reuse-based Environment to Build Ensembles for Time Series Forecasting.
J. Softw., 2012

2011
Complementing Data in the ETL Process.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

2010
An Extensible Ensemble Environment for Time Series Forecasting.
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.
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.
Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007

2005
Assistance in KDD Task Definition Process.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004
Assistance in Selecting KDD Algorithms.
Proceedings of the 2nd International Conference Computing, 2004

2002
A Goal Definition Assistant Applied to KDD Process.
Proceedings of the International Conference on Artificial Intelligence, 2002


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