Ronaldo C. Prati
Orcid: 0000-0001-8597-4987
According to our database1,
Ronaldo C. Prati
authored at least 51 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.
J. Chem. Inf. Model., February, 2024
2023
Effect of Flattened Structures of Molecules and Materials on Machine Learning Model Training.
J. Chem. Inf. Model., September, 2023
Expert Syst. Appl., September, 2023
2022
IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications.
Internet Things, 2022
Expert Syst. Appl., 2022
2021
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters.
J. Chem. Inf. Model., 2021
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., 2021
Multiple instance classification: Bag noise filtering for negative instance noise cleaning.
Inf. Sci., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
J. Intell. Fuzzy Syst., 2020
2019
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise.
Knowl. Inf. Syst., 2019
Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning.
AI Soc., 2019
End-to-End Security in the IoT Computing Continuum: Perspectives in the SWAMP Project.
Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019
2018
PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points.
Comput. Geosci., 2018
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016
Proceedings of the First International Workshop on Recent Trends in News Information Retrieval co-located with 38th European Conference on Information Retrieval (ECIR 2016), 2016
2015
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods.
Knowl. Inf. Syst., 2015
J. Intell. Robotic Syst., 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the Progress in Artificial Intelligence, 2015
2014
Proceedings of the 10th IEEE International Conference on e-Science, 2014
2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification.
Int. J. Nat. Comput. Res., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011
2009
Data mining with imbalanced class distributions: concepts and methods.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
2008
Proceedings of the Advances in Artificial Intelligence, 2008
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2006
New approaches in machine learning for rule generation, class imbalance and rankings.
PhD thesis, 2006
Inteligencia Artif., 2006
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification.
Inteligencia Artif., 2006
Proceedings of the Artificial Intelligence in Theory and Practice, 2006
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
A study of the behavior of several methods for balancing machine learning training data.
SIGKDD Explor., 2004
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004