Ronaldo C. Prati

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 19

Top Topics

Imbalanced Class Distribution

Machine Learning

Imbalanced Data

Top Venues

J. Chem. Inf. Model.

Knowl. Inf. Syst.

Expert Syst. Appl.

Publications

Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. J. Chem. Inf. Model. 64 (4) (2024)
Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva
Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. ICCSA (Workshops 9) (2024)
Luis Cesar de Azevedo, Ronaldo C. Prati
Effect of Flattened Structures of Molecules and Materials on Machine Learning Model Training. J. Chem. Inf. Model. 63 (17) (2023)
Rodrigo Marotti Togneri, Ronaldo C. Prati, Hitoshi Nagano, Carlos Kamienski
Data-driven water need estimation for IoT-based smart irrigation: A survey. Expert Syst. Appl. 225 (2023)
Gabriela Oliveira Biondi, Ronaldo C. Prati, Fabrizio F. Borelli, Dener Ottolini, Nelson Gonçalves de Oliveira, Carlos Kamienski
IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications. Internet Things 19 (2022)
Rodrigo Marotti Togneri, Diego Felipe dos Santos, Glauber Camponogara, Hitoshi Nagano, Gilliard Custódio, Ronaldo C. Prati, Stênio Fernandes, Carlos Kamienski
Soil moisture forecast for smart irrigation: The primetime for machine learning. Expert Syst. Appl. 207 (2022)
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. J. Chem. Inf. Model. 61 (9) (2021)
Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera
Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Inf. Sci. 579 (2021)
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. J. Chem. Inf. Model. 61 (3) (2021)
Alexandre Miguel de Carvalho, Ronaldo C. Prati
DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets. Inf. 11 (12) (2020)
Delia Irazú Hernández Farías, Ronaldo C. Prati, Francisco Herrera, Paolo Rosso
Irony detection in Twitter with imbalanced class distributions. J. Intell. Fuzzy Syst. 39 (2) (2020)
Rodrigo Marotti Togneri, Carlos Kamienski, Ramide Dantas, Ronaldo C. Prati, Attilio Toscano, Juha-Pekka Soininen, Tullio Salmon Cinotti
Advancing IoT-Based Smart Irrigation. IEEE Internet Things Mag. 2 (4) (2019)
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. Knowl. Inf. Syst. 60 (1) (2019)
João H. Kleinschmidt, Carlos Kamienski, Ronaldo C. Prati, Kari Kolehmainen, Cristiano Aguzzi
End-to-End Security in the IoT Computing Continuum: Perspectives in the SWAMP Project. LADC (2019)
Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL (2018)
Ronaldo C. Prati, Francisco Charte, Francisco Herrera
A first approach towards a fuzzy decision tree for multilabel classification. FUZZ-IEEE (2017)
Leila Weitzel, Raul A. Freire, Paulo Quaresma, Teresa Gonçalves, Ronaldo C. Prati
How Does Irony Affect Sentiment Analysis Tools? EPIA (2015)
Ronaldo C. Prati
Fuzzy rule classifiers for multi-label classification. FUZZ-IEEE (2015)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego Furtado Silva
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. 45 (1) (2015)
Ronaldo C. Prati, Fabrício Olivetti de França
Extending features for multilabel classification with swarm biclustering. IEEE Congress on Evolutionary Computation (2013)
Gleison Morais, Ronaldo C. Prati
Complex Network Measures for Data Set Characterization. BRACIS (2013)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista
A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification. Int. J. Nat. Comput. Res. 3 (3) (2012)
Ronaldo C. Prati
Combining feature ranking algorithms through rank aggregation. IJCNN (2012)
Daniel de Moraes Navarro, Ronaldo C. Prati
Rotulação Automática de Imagens Utilizando Aprendizado de Máquina Multirrótulo. SBBD (Short Papers) (2011)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. 23 (11) (2011)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Data mining with imbalanced class distributions: concepts and methods. IICAI (2009)
Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. SBIA (2008)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. IFIP AI (2008)
Flávia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS (2008)
Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce de Leon Ferreira de Carvalho, Ronaldo C. Prati
Potential Distribution Modelling Using Machine Learning. IEA/AIE (2008)
Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI (2006)
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3 (3) (2006)
Adriano Donizete Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. HIS (2006)
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
Balancing Strategies and Class Overlapping. IDA (2005)
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
Constructing Ensembles of Symbolic Classifiers. HIS (2005)
Ronaldo C. Prati, Peter A. Flach
ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. IJCAI (2005)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. MICAI (2004)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Learning with Class Skews and Small Disjuncts. SBIA (2004)
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. 6 (1) (2004)