Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (MICAI, 2004)

Learning with Class Skews and Small Disjuncts. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (SBIA, 2004)

A study of the behavior of several methods for balancing machine learning training data. - Gustavo E. A. P. A. Batista; Ronaldo C. Prati; Maria Carolina Monard (SIGKDD Explor., 2004)

Balancing Strategies and Class Overlapping. - Gustavo E. A. P. A. Batista; Ronaldo C. Prati; Maria Carolina Monard (IDA, 2005)

ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. - Ronaldo C. Prati; Peter A. Flach (IJCAI, 2005)

A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. - Adriano Donizete Pila; Rafael Giusti; Ronaldo C. Prati; Maria Carolina Monard (HIS, 2006)

On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. - Edson Takashi Matsubara; Maria Carolina Monard; Ronaldo C. Prati (IFIP AI, 2006)

A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. - Gustavo E. A. P. A. Batista; Claudia Regina Milaré; Ronaldo Cristiano Prati; Maria Carolina Monard (Inteligencia Artif., 2006)

A Simple Evaluation Model for Feature Subset Selection Algorithms. - Huei Diana Lee; Maria Carolina Monard; Richardson Floriani Voltolini; Ronaldo Cristiano Prati; Feng Chung Wu (Inteligencia Artif., 2006)

Constructing ensembles of symbolic classifiers. - Flávia Cristina Bernardini; Maria Carolina Monard; Ronaldo C. Prati (Int. J. Hybrid Intell. Syst., 2006)

New approaches in machine learning for rule generation, class imbalance and rankings. - Ronaldo Cristiano Prati (2006)

Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. - Flávia Cristina Bernardini; Ronaldo C. Prati; Maria Carolina Monard (HIS, 2008)

Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. - Rafael Giusti; Gustavo E. A. P. A. Batista; Ronaldo Cristiano Prati (HIS, 2008)

Potential Distribution Modelling Using Machine Learning. - Ana Carolina Lorena; Marinez Ferreira de Siqueira; Renato De Giovanni; André Carlos Ponce de Leon Ferreira de Carvalho; Ronaldo C. Prati (IEA/AIE, 2008)

A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (IFIP AI, 2008)

Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. - Edson Takashi Matsubara; Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (SBIA, 2008)

Data mining with imbalanced class distributions: concepts and methods. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (IICAI, 2009)

Rotulação Automática de Imagens Utilizando Aprendizado de Máquina Multirrótulo. - Daniel de Moraes Navarro; Ronaldo C. Prati (SBBD (Short Papers), 2011)

A Survey on Graphical Methods for Classification Predictive Performance Evaluation. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (IEEE Trans. Knowl. Data Eng., 2011)

An Experimental Design to Evaluate Class Imbalance Treatment Methods. - Gustavo Enrique De Almeida Prado Alves Batista; Diego Furtado Silva; Ronaldo Cristiano Prati (ICMLA (2), 2012)

Combining feature ranking algorithms through rank aggregation. - Ronaldo C. Prati (IJCNN, 2012)

A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista (Int. J. Nat. Comput. Res., 2012)

Complex Network Measures for Data Set Characterization. - Gleison Morais; Ronaldo C. Prati (BRACIS, 2013)

Extending features for multilabel classification with swarm biclustering. - Ronaldo C. Prati; Fabrício Olivetti de França (IEEE Congress on Evolutionary Computation, 2013)

Mining DEOPS Records: Big Data's Insights into Dictatorship. - Daniel de Moraes Navarro; Ronaldo Cristiano Prati (eScience Workshops, 2014)

How Does Irony Affect Sentiment Analysis Tools? - Leila Weitzel; Raul A. Freire; Paulo Quaresma; Teresa Gonçalves 001; Ronaldo C. Prati (EPIA, 2015)

Fuzzy rule classifiers for multi-label classification. - Ronaldo C. Prati (FUZZ-IEEE, 2015)

Setting Parameters for Support Vector Machines using Transfer Learning. - Gabriela Oliveira Biondi; Ronaldo Cristiano Prati (J. Intell. Robotic Syst., 2015)

Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Diego Furtado Silva (Knowl. Inf. Syst., 2015)

An Analysis of Novelty Dynamics in News Media Coverage. - Ronaldo Cristiano Prati; Walter Teixeira Lima Junior (NewsIR@ECIR, 2016)

The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques? - Leila Weitzel; Ronaldo Cristiano Prati; Raul Freire Aguiar (Sentiment Analysis and Ontology Engineering, 2016)

A first approach towards a fuzzy decision tree for multilabel classification. - Ronaldo C. Prati; Francisco Charte; Francisco Herrera (FUZZ-IEEE, 2017)

Learning from Imbalanced Data Sets - Alberto Fernández 001; Salvador García 001; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera (Springer, 2018)

Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach. - Alexandre Miguel de Carvalho; Ronaldo Cristiano Prati (IJCNN, 2018)

A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. - Julián Luengo; Dánel Sánchez Tarragó; Ronaldo C. Prati; Francisco Herrera (LOPAL, 2018)

PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points. - Yuri Navarro Claure; Edson Takashi Matsubara; Carlos Padovani; Ronaldo Cristiano Prati (Comput. Geosci., 2018)

End-to-End Security in the IoT Computing Continuum: Perspectives in the SWAMP Project. - João H. Kleinschmidt; Carlos Kamienski; Ronaldo C. Prati; Kari Kolehmainen; Cristiano Aguzzi (LADC, 2019)

Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning. - Ronaldo Cristiano Prati; Elias Said-Hung (AI Soc., 2019)

Advancing IoT-Based Smart Irrigation. - Rodrigo Marotti Togneri; Carlos Kamienski; Ramide Dantas; Ronaldo C. Prati; Attilio Toscano; Juha-Pekka Soininen; Tullio Salmon Cinotti (IEEE Internet Things Mag., 2019)

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. - Ronaldo C. Prati; Julián Luengo; Francisco Herrera (Knowl. Inf. Syst., 2019)

DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets. - Alexandre Miguel de Carvalho; Ronaldo C. Prati (Inf., 2020)

Irony detection in Twitter with imbalanced class distributions. - Delia Irazú Hernández Farías; Ronaldo C. Prati; Francisco Herrera; Paolo Rosso (J. Intell. Fuzzy Syst., 2020)

Naive Importance Weighting for Data Stream with Intermediate Latency. - Pedro Henrique Parreira; Ronaldo Cristiano Prati (SSCI, 2021)

Multiple instance classification: Bag noise filtering for negative instance noise cleaning. - Julián Luengo; Dánel Sánchez Tarragó; Ronaldo C. Prati; Francisco Herrera (Inf. Sci., 2021)

Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. - Luis Cesar de Azevedo; Gabriel A. Pinheiro; Marcos G. Quiles; Juarez L. F. Da Silva; Ronaldo C. Prati (J. Chem. Inf. Model., 2021)

Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters. - Johnatan Mucelini; Marcos G. Quiles; Ronaldo C. Prati; Juarez L. F. Da Silva (J. Chem. Inf. Model., 2021)

Soil moisture forecast for smart irrigation: The primetime for machine learning. - Rodrigo Marotti Togneri; Diego Felipe dos Santos; Glauber Camponogara; Hitoshi Nagano; Gilliard Custódio; Ronaldo C. Prati; Stenio Fernandes; Carlos Kamienski (Expert Syst. Appl., 2022)

IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications. - Gabriela Oliveira Biondi; Ronaldo C. Prati; Fabrizio F. Borelli; Dener Ottolini; Nelson Gonçalves de Oliveira; Carlos Kamienski (Internet Things, 2022)

Data-driven water need estimation for IoT-based smart irrigation: A survey. - Rodrigo Marotti Togneri; Ronaldo C. Prati; Hitoshi Nagano; Carlos Kamienski (Expert Syst. Appl., 2023)

Effect of Flattened Structures of Molecules and Materials on Machine Learning Model Training. - Luis Cesar de Azevedo; Ronaldo C. Prati (J. Chem. Inf. Model., 2023)

Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. - Marcos G. Quiles; Piero A. L. Ribeiro; Gabriel A. Pinheiro; Ronaldo C. Prati; Juarez L. F. Da Silva (ICCSA (Workshops 9), 2024)

Retrieval-Enhanced Named Entity Recognition. - Enzo Shiraishi; Raphael Y. de Camargo; Henrique L. P. Silva; Ronaldo C. Prati (CoRR, 2024)

The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. - Ronaldo C. Prati; Bruno S. M. Rodrigues; Iberis Aragão; Thereza A. Soares; Marcos G. Quiles; Juarez L. F. Da Silva (J. Chem. Inf. Model., 2024)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs). - Natalia Emelianova; Carlos Kamienski; Ronaldo C. Prati (CoRR, 2025)