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Ronaldo R. Goldschmidt
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2020 – today
- 2024
- [j16]Treice de Oliveira Moreira
, Claudio Azevedo Passos
JEDi - a digital educational game to support student training in identifying portuguese-written fake news: Case studies in high school, undergraduate and graduate scenarios. Educ. Inf. Technol. 29(10): 11815-11845 (2024) - [j15]Argus A. B. Cavalcante
Early detection of fake news on virtual social networks: A time-aware approach based on crowd signals. Expert Syst. Appl. 247: 123350 (2024) - [j14]Lorran Santos Rodrigues
Transformers para previsão de desempenho acadêmico no ensino Fundamental e Médio. Revista Brasileira de Informática na Educ. 32: 213-241 (2024) - [c40]Argus Antonio Barbosa Cavalcante
Improving Implicit Crowd Signals Based Fake News Detection on Social Media: A Time-Aware Method for Early Detection. SBSI 2024: 7:1-7:9 - [i2]Mateus Guimarães Lima, Antony Carvalho, João Gabriel Álvares, Clayton Escouper das Chagas, Ronaldo Ribeiro Goldschmidt:
Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems. CoRR abs/2407.11105 (2024) - 2023
- [j13]Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender's Perspective. ACM Comput. Surv. 55(2): 8:1-8:38 (2023) - [c39]Uriel Merola, Paulo Márcio Souza Freire, Ronaldo R. Goldschmidt, Jorge Soares:
Métodos de Detecção de Fake News: Uma Comparação entre as Abordagens de Crowd Signals e Ensembles. SBBD 2023: 372-377 - [c38]Wallace Da Silva Coelho Valadão
A Contextualized Embeddings-based Method to Detect Suicide Ideations in Texts. WebMedia 2023: 41-45 - [c37]Patrick Antunes dos Santos
Ensembles to Detect Fake News - An Approach Based on Specialized Classifiers. WebMedia 2023: 154-158 - 2022
- [j12]Érick S. Florentino
Identificando Suspeitos de Crimes por meio de Interações Implícitas no YouTube. Braz. J. Inf. Syst. 15(1) (2022) - [c36]Samir de O. Ramos, Ronaldo R. Goldschmidt
Social Bots Detection: A Method based on a Sentiment Lexicon Learned from Messages. ICEIS (1) 2022: 273-280 - [c35]Josinaldo Azevedo, Paulo C. S. Vidal, Ronaldo R. Goldschmidt:
Um Método Baseado em Fingerprint de Sinais e Aprendizado de Máquina para Identificação de Estações Terrenas Interferentes. SBBD 2022: 330-342 - 2021
- [j11]Paulo Márcio Souza Freire, Flávio Roberto Matias da Silva
Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning. Expert Syst. Appl. 183: 115414 (2021) - [j10]Claudio Azevedo Passos, Flávio Roberto Matias da Silva
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. 29: 634-661 (2021) - [j9]Ricardo de Azevedo Brandão
A Reduced Network Traffic Method for IoT Data Clustering. ACM Trans. Knowl. Discov. Data 15(1): 13:1-13:23 (2021) - [c34]Stefano S. Suraci, Ronaldo R. Goldschmidt, Leonardo C. Oliveira, Ivandro Klein:
A meta-classifier approach for outlier identification in geodetic networks. GEOINFO 2021: 210-215 - [c33]Érick S. Florentino
Identifying Suspects on Social Networks: An Approach based on Non-structured and Non-labeled Data. ICEIS (1) 2021: 51-62 - [c32]Érick da Silva Florentino
Exploring Interactions in YouTube to Support the Identification of Crime Suspects. SBSI 2021: 34:1-34:8 - [c31]Apolo Takeshi Arai Batista, Karla Tereza Figueiredo
Fraud Detection in Social Commerce: combining structured attributes and images. SBSI 2021: 50:1-50:8 - [c30]Igor Maffei Libonati Maia, Marcelo Pereira de Souza, Flávio Roberto Matias da Silva
A Sentiment-Based Multimodal Method to Detect Fake News. WebMedia 2021: 213-216 - 2020
- [j8]Felipe Alves de Oliveira
Minerando Regras de Associação de Multirrelação na Web de Dados. Braz. J. Inf. Syst. 13(4): 77-100 (2020) - [j7]Érick S. Florentino
An edge creation history retrieval based method to predict links in social networks. Knowl. Based Syst. 205: 106268 (2020) - [c29]Argus A. B. Cavalcante, Cláudia Marcela Justel
Link Prediction in Social Networks: An Edge Creation History-Retrieval Based Method that Combines Topological and Contextual Data. BRACIS (2) 2020: 382-396 - [c28]Marcelo Pereira de Souza, Flávio Roberto Matias da Silva
A Linguistic-Based Method that Combines Polarity, Emotion and Grammatical Characteristics to Detect Fake News in Portuguese. WebMedia 2020: 217-224 - [c27]Flávio Roberto Matias da Silva
FakeNewsSetGen: a Process to Build Datasets that Support Comparison Among Fake News Detection Methods. WebMedia 2020: 241-248 - [c26]Érick S. Florentino
Identifying Criminal Suspects on Social Networks: A Vocabulary-Based Method. WebMedia 2020: 273-276 - [i1]Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt:
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective. CoRR abs/2009.03728 (2020)
2010 – 2019
- 2019
- [c25]Gabriel R. Machado, Ronaldo R. Goldschmidt
MultiMagNet: A Non-deterministic Approach based on the Formation of Ensembles for Defending Against Adversarial Images. ICEIS (1) 2019: 307-318 - [c24]Ricardo Brandão
A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context. ICEIS (1) 2019: 563-570 - [c23]Thiago P. Pimentel, Ronaldo R. Goldschmidt
Sequential Sentiment Pattern Mining to Predict Churn in CRM Systems: A Case Study with Telecom Data. SBSI 2019: 11:1-11:8 - [c22]Érick S. Florentino
A Topological Data Evolution Based Method to Predict Links in Social Networks. SBSI 2019: 27:1-27:8 - [c21]Marco Aurélio da Silva Cruz, Ronaldo Ribeiro Goldschmidt
Deep Neural Networks Applied to User Recognition Based on Keystroke Dynamics: Learning from Raw Data. SBSI 2019: 35:1-35:8 - [c20]Felipe Alves de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt
Multirelation Association Rule Mining on Datasets of the Web of Data. SBSI 2019: 61:1-61:8 - [c19]Gabriel R. Machado, Eugênio Silva, Ronaldo R. Goldschmidt
A Non-Deterministic Method to Construct Ensemble-Based Classifiers to Protect Decision Support Systems Against Adversarial Images: A Case Study. SBSI 2019: 72:1-72:8 - [c18]Camila Mesquita de Moraes, Eduardo Bezerra
Link prediction in social networks: combining topological and contextual data in a community detection based method. WebMedia 2019: 297-304 - [c17]Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt
Fake news detection on social media via implicit crowd signals. WebMedia 2019: 521-524 - 2018
- [j6]Antonio Pecli, Maria Cláudia Cavalcanti
Automatic feature selection for supervised learning in link prediction applications: a comparative study. Knowl. Inf. Syst. 56(1): 85-121 (2018) - [j5]Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt
Combining contextual, temporal and topological information for unsupervised link prediction in social networks. Knowl. Based Syst. 156: 129-137 (2018) - [c16]Andre Luiz Braga, Ronaldo Ribeiro Goldschmidt
Morphogenesis-Based Multidimensional Shape Formation of Swarms. CEC 2018: 1-8 - [c15]Rodrigo Tavares de Souza, Rafael Castañeda, Cláudia Ferlin, Ronaldo Ribeiro Goldschmidt, Luís Alfredo V. Carvalho, Jorge de Abreu Soares:
Apoiando o Processo de Imputação com Técnicas de Aprendizado de Máquina. SBBD 2018: 259-264 - [c14]Ramon Silva, Augusto José Fonseca, Ronaldo R. Goldschmidt
A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks. WebMedia 2018: 137-140 - [c13]Argus A. B. Cavalcante
Context-based Time Score: An Effective Similarity Function for Link Prediction in Social Networks. WebMedia 2018: 339-346 - 2017
- [j4]Marco Aurélio da Silva Cruz, Julio Cesar Duarte, Ronaldo Ribeiro Goldschmidt
Dinâmica da Digitação Aplicada à Autenticação Periódica de Usuários em Ambientes Virtuais de Aprendizagem. Revista Brasileira de Informática na Educ. 25(2): 36-60 (2017) - [c12]Carlos Pedro Muniz, Ronaldo R. Goldschmidt
Using a Time-Based Weighting Criterion to Enhance Link Prediction in Social Networks. ICEIS (Revised Selected Papers) 2017: 21-33 - [c11]Carlos P. M. T. Muniz, Ricardo Choren, Ronaldo R. Goldschmidt:
Using a Time based Relationship Weighting Criterion to Improve Link Prediction in Social Networks. ICEIS (1) 2017: 73-79 - [c10]Felipe A. de Oliveira, Raquel Lopes Costa, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti:
Mineração de Regras de Associação Multirrelação em Grafos: Direcionando o Processo de Busca. SBBD (Short Papers) 2017: 270-275 - [c9]Ricardo de Azevedo Brandão
Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach. WebMedia 2017: 313-316 - 2016
- [j3]Ronaldo R. Goldschmidt
MEMORE: an Environment for Data Collection and Analysis on the Use of Computers in Education. Informatics Educ. 15(1): 63-84 (2016) - 2015
- [c8]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
Dimensionality Reduction for Supervised Learning in Link Prediction Problems. ICEIS (1) 2015: 295-302 - 2014
- [j2]Ronaldo Ribeiro Goldschmidt, Isabel Fernandes de Souza, Claudio Azevedo Passos, Mônica Norris, Cláudia Ferlin, Maria Cláudia Cavalcanti
MEMORE - Um Ambiente para Apoio ao Acompanhamento da Utilização de Computadores na Educação. Revista Brasileira de Informática na Educ. 22(2): 123- (2014) - 2012
- [j1]Claudio Ribeiro, Ronaldo R. Goldschmidt
A Reuse-based Environment to Build Ensembles for Time Series Forecasting. J. Softw. 7(11): 2450-2459 (2012) - 2011
- [c7]Lívia de S. Ribeiro, Ronaldo R. Goldschmidt
Complementing Data in the ETL Process. DaWaK 2011: 112-123 - 2010
- [c6]Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren:
An Extensible Ensemble Environment for Time Series Forecasting. ICEIS (2) 2010: 404-407
2000 – 2009
- 2008
- [c5]Rafael Castañeda, Cláudia Ferlin, Ronaldo R. Goldschmidt, Jorge de Abreu Soares, Luís Alfredo V. de Carvalho, Ricardo Choren:
Aprimorando Processos de Imputação Multivariada de Dados com Workflows. SBBD 2008: 238-252 - 2007
- [c4]Miriam Oliveira dos Santos, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti:
Uma Estratégia baseada em Técnicas de KDD para apoiar o Projeto Físico em SGBDs XML Nativos. SBBD 2007: 300-314 - 2005
- [c3]Ronaldo R. Goldschmidt, Emmanuel L. P. Passos:
Assistance in KDD Task Definition Process. IICAI 2005: 1322-1333 - 2004
- [c2]Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Roberval A. Godoy, Frank Schettini, Angelo Paolino:
Assistance in Selecting KDD Algorithms. CCCT (1) 2004: 12-17 - 2002
- [c1]Ronaldo R. Goldschmidt, Emmanuel L. P. Passos, Marley M. B. R. Vellasco:
A Goal Definition Assistant Applied to KDD Process. IC-AI 2002: 631-637
Coauthor Index
aka: Maria Cláudia Reis Cavalcanti
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last updated on 2024-10-07 22:05 CEST by the dblp team
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