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ORCIDRonaldo R. Goldschmidt
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2020 – today
- 2023
[j8]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, Eric Rodrigues Da Silva, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt:
A Contextualized Embeddings-based Method to Detect Suicide Ideations in Texts. WebMedia 2023: 41-45 - [c37]Patrick Antunes dos Santos, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt:
Ensembles to Detect Fake News - An Approach Based on Specialized Classifiers. WebMedia 2023: 154-158 - 2022
- [c36]Samir de O. Ramos, Ronaldo R. Goldschmidt, Alex de V. Garcia:
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
- [j7]Paulo Márcio Souza Freire, Flávio Roberto Matias da Silva, Ronaldo Ribeiro Goldschmidt:
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) - [j6]Ricardo de Azevedo Brandão, Gabriel Resende Machado, Ronaldo Ribeiro Goldschmidt, Ricardo Choren:
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, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti:
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, Ronaldo Ribeiro Goldschmidt, Maria Cláudia Reis Cavalcanti:
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, Ronaldo Ribeiro Goldschmidt:
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, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt:
A Sentiment-Based Multimodal Method to Detect Fake News. WebMedia 2021: 213-216 - 2020
- [j5]Érick S. Florentino, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt:
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, Ronaldo R. Goldschmidt:
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, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt:
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, Paulo Márcio Souza Freire, Marcelo Pereira de Souza, Gustavo de A. B. Plenamente, Ronaldo Ribeiro Goldschmidt:
FakeNewsSetGen: a Process to Build Datasets that Support Comparison Among Fake News Detection Methods. WebMedia 2020: 241-248 - [c26]Érick S. Florentino, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti:
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, Eugênio Silva:
MultiMagNet: A Non-deterministic Approach based on the Formation of Ensembles for Defending Against Adversarial Images. ICEIS (1) 2019: 307-318 - [c24]Ricardo Brandão, Ronaldo R. Goldschmidt, Ricardo Choren:
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, Argus A. B. Cavalcante, Ronaldo R. Goldschmidt:
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, Maria Cláudia Cavalcanti:
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, Ronaldo R. Goldschmidt:
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
- [j4]Antonio Pecli, Maria Cláudia Cavalcanti, Ronaldo R. Goldschmidt:
Automatic feature selection for supervised learning in link prediction applications: a comparative study. Knowl. Inf. Syst. 56(1): 85-121 (2018) - [j3]Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt, Ricardo Choren:
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, Paulo Fernando Ferreira Rosa:
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, Joel A. F. dos Santos, Eduardo Bezerra:
A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks. WebMedia 2018: 137-140 - [c13]Argus A. B. Cavalcante, Carlos P. M. T. Muniz, Ronaldo R. Goldschmidt:
Context-based Time Score: An Effective Similarity Function for Link Prediction in Social Networks. WebMedia 2018: 339-346 - 2017
- [c12]Carlos Pedro Muniz, Ronaldo R. Goldschmidt, Ricardo Choren:
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, Ronaldo Ribeiro Goldschmidt:
Distributed Data Clustering in the Context of the Internet of Things: A Data Traffic Reduction Approach. WebMedia 2017: 313-316 - 2016
- [j2]Ronaldo R. Goldschmidt, Isabel Fernandes de Souza, Monica Norris, Claudio Passos, Cláudia Ferlin, Maria Cláudia Cavalcanti, Jorge de Abreu Soares:
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, Ronaldo R. Goldschmidt:
Dimensionality Reduction for Supervised Learning in Link Prediction Problems. ICEIS (1) 2015: 295-302 - 2012
- [j1]Claudio Ribeiro, Ronaldo R. Goldschmidt, Ricardo Choren:
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, Maria Cláudia Cavalcanti:
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 2023-10-28 21:33 CEST by the dblp team
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