Ronaldo Prati - Dissemin

All papers authored by Ronaldo Prati

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2021 Julián Luengo, Dánel Sánchez-Tarragó, Ronaldo C. Prati

, Francisco Herrera

Multiple instance classification: Bag noise filtering for negative instance noise cleaning

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Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles

, Juarez L. F. Da Silva

, Ronaldo C. Prati

Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition

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Johnatan Mucelini, Marcos G. Quiles

, Ronaldo C. Prati

, Juarez L. F. Da Silva

Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters

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This paper is made freely available by the publisher.

2020 Alexandre M. de Carvalho

, Ronaldo C. Prati

DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets

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Gabriel A. Pinheiro, Johnatan Mucelini, Marinalva D. Soares, Ronaldo C. Prati

, Juarez L. F. Da Silva

, Marcos G. Quiles

Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset

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Delia Irazú Hernández Farías, Ronaldo Prati

, Francisco Herrera, Paolo Rosso

Irony detection in Twitter with imbalanced class distributions

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2019 Rodrigo Togneri, Carlos Kamienski, Ramide Dantas, Ronaldo Prati

, Attilio Toscano, Juha-Pekka Soininen, Tullio Salmon Cinotti

Advancing IoT-Based Smart Irrigation

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Priscilla Felício-Sousa

, Johnatan Mucelini

, Larissa Zibordi-Besse

, Karla F. Andriani

, Yohanna Seminovski, Ronaldo C. Prati

, Juarez L. F. Da Silva

Ab initio insights into the structural, energetic, electronic, and stability properties of mixed CenZr15−nO30 nanoclusters

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2018 Ronaldo C. Prati

, Julián Luengo, Francisco Herrera

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise

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Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati

, Bartosz Krawczyk, Francisco Herrera

Learning from Imbalanced Data Sets

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2017 Ronaldo Cristiano Prati

, Elias Said-Hung

Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning

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