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Ronaldo C. Prati
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2020 – today
- 2024
- [j22]Ronaldo C. Prati
, Bruno S. M. Rodrigues
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): 1107-1111 (2024) - [c28]Marcos G. Quiles
Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. ICCSA (Workshops 9) 2024: 387-401 - 2023
- [j21]Rodrigo Marotti Togneri, Ronaldo C. Prati
Data-driven water need estimation for IoT-based smart irrigation: A survey. Expert Syst. Appl. 225: 120194 (2023) - [j20]Luis Cesar de Azevedo
Effect of Flattened Structures of Molecules and Materials on Machine Learning Model Training. J. Chem. Inf. Model. 63(17): 5446-5456 (2023) - 2022
- [j19]Rodrigo Marotti Togneri, Diego Felipe dos Santos
Soil moisture forecast for smart irrigation: The primetime for machine learning. Expert Syst. Appl. 207: 117653 (2022) - [j18]Gabriela Oliveira Biondi, Ronaldo C. Prati
IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications. Internet Things 19: 100556 (2022) - 2021
- [j17]Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati
Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Inf. Sci. 579: 388-400 (2021) - [j16]Johnatan Mucelini, Marcos G. Quiles
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters. J. Chem. Inf. Model. 61(3): 1125-1135 (2021) - [j15]Luis Cesar de Azevedo
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): 4210-4223 (2021) - [c27]Pedro Henrique Parreira, Ronaldo Cristiano Prati:
Naive Importance Weighting for Data Stream with Intermediate Latency. SSCI 2021: 1-7 - 2020
- [j14]Alexandre Miguel de Carvalho
DTO-SMOTE: Delaunay Tessellation Oversampling for Imbalanced Data Sets. Inf. 11(12): 557 (2020) - [j13]Delia Irazú Hernández Farías, Ronaldo C. Prati
Irony detection in Twitter with imbalanced class distributions. J. Intell. Fuzzy Syst. 39(2): 2147-2163 (2020) - [e2]Ricardo Cerri
Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12319, Springer 2020, ISBN 978-3-030-61376-1 [contents] - [e1]Ricardo Cerri
Intelligent Systems - 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12320, Springer 2020, ISBN 978-3-030-61379-2 [contents]
2010 – 2019
- 2019
- [j12]Ronaldo Cristiano Prati
Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning. AI Soc. 34(3): 589-598 (2019) - [j11]Rodrigo Marotti Togneri, Carlos Kamienski
Advancing IoT-Based Smart Irrigation. IEEE Internet Things Mag. 2(4): 20-25 (2019) - [j10]Ronaldo C. Prati
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowl. Inf. Syst. 60(1): 63-97 (2019) - [c26]João H. Kleinschmidt, Carlos Kamienski
End-to-End Security in the IoT Computing Continuum: Perspectives in the SWAMP Project. LADC 2019: 1-2 - 2018
- [b2]Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati
Learning from Imbalanced Data Sets. Springer 2018, ISBN 978-3-319-98073-7, pp. 1-377 - [j9]Yuri Navarro Claure, Edson Takashi Matsubara, Carlos Padovani, Ronaldo Cristiano Prati:
PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points. Comput. Geosci. 112: 54-63 (2018) - [c25]Alexandre Miguel de Carvalho, Ronaldo Cristiano Prati:
Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach. IJCNN 2018: 1-6 - [c24]Julián Luengo
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL 2018: 3:1-3:6 - 2017
- [c23]Ronaldo C. Prati, Francisco Charte, Francisco Herrera:
A first approach towards a fuzzy decision tree for multilabel classification. FUZZ-IEEE 2017: 1-6 - 2016
- [c22]Ronaldo Cristiano Prati, Walter Teixeira Lima Junior:
An Analysis of Novelty Dynamics in News Media Coverage. NewsIR@ECIR 2016: 9-14 - [p1]Leila Weitzel
The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques? Sentiment Analysis and Ontology Engineering 2016: 49-74 - 2015
- [j8]Gabriela Oliveira Biondi, Ronaldo Cristiano Prati
Setting Parameters for Support Vector Machines using Transfer Learning. J. Intell. Robotic Syst. 80(Supplement-1): 295-311 (2015) - [j7]Ronaldo C. Prati
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. 45(1): 247-270 (2015) - [c21]Leila Weitzel
How Does Irony Affect Sentiment Analysis Tools? EPIA 2015: 803-808 - [c20]Ronaldo C. Prati:
Fuzzy rule classifiers for multi-label classification. FUZZ-IEEE 2015: 1-8 - 2014
- [c19]Daniel de Moraes Navarro, Ronaldo Cristiano Prati
Mining DEOPS Records: Big Data's Insights into Dictatorship. eScience Workshops 2014: 67-70 - 2013
- [c18]Gleison Morais, Ronaldo C. Prati
Complex Network Measures for Data Set Characterization. BRACIS 2013: 12-18 - [c17]Ronaldo C. Prati
Extending features for multilabel classification with swarm biclustering. IEEE Congress on Evolutionary Computation 2013: 2964-2971 - 2012
- [j6]Ronaldo C. Prati
A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification. Int. J. Nat. Comput. Res. 3(3): 59-73 (2012) - [c16]Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva
An Experimental Design to Evaluate Class Imbalance Treatment Methods. ICMLA (2) 2012: 95-101 - [c15]Ronaldo C. Prati
Combining feature ranking algorithms through rank aggregation. IJCNN 2012: 1-8 - 2011
- [j5]Ronaldo C. Prati
A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. 23(11): 1601-1618 (2011) - [c14]Daniel de Moraes Navarro, Ronaldo C. Prati:
Rotulação Automática de Imagens Utilizando Aprendizado de Máquina Multirrótulo. SBBD (Short Papers) 2011: 89-96
2000 – 2009
- 2009
- [c13]Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
Data mining with imbalanced class distributions: concepts and methods. IICAI 2009: 359-376 - 2008
- [c12]Flávia Cristina Bernardini
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS 2008: 525-530 - [c11]Rafael Giusti, Gustavo E. A. P. A. Batista
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. HIS 2008: 537-542 - [c10]Ana Carolina Lorena
Potential Distribution Modelling Using Machine Learning. IEA/AIE 2008: 255-264 - [c9]Ronaldo C. Prati
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. IFIP AI 2008: 131-140 - [c8]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: 217-226 - 2006
- [b1]Ronaldo Cristiano Prati:
New approaches in machine learning for rule generation, class imbalance and rankings. University of São Paulo, Brazil, 2006 - [j4]Huei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu:
A Simple Evaluation Model for Feature Subset Selection Algorithms. Inteligencia Artif. 10(32): 9-17 (2006) - [j3]Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard:
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Inteligencia Artif. 10(32): 29-35 (2006) - [j2]Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati:
Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006) - [c7]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: 41 - [c6]Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208 - 2005
- [c5]Flávia Cristina Bernardini
Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322 - [c4]Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard:
Balancing Strategies and Class Overlapping. IDA 2005: 24-35 - [c3]Ronaldo C. Prati, Peter A. Flach:
ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. IJCAI 2005: 823-828 - 2004
- [j1]Gustavo E. A. P. A. Batista, Ronaldo C. Prati
A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. 6(1): 20-29 (2004) - [c2]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: 312-321 - [c1]Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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