Ricardo Cerri
Orcid: 0000-0002-2582-1695
According to our database1,
Ricardo Cerri
authored at least 69 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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on dl.acm.org
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Bibliography
2024
Appl. Soft Comput., January, 2024
2023
Artif. Intell. Rev., November, 2023
Soft Comput., July, 2023
Novelty detection for multi-label stream classification under extreme verification latency.
Appl. Soft Comput., July, 2023
Semi-Supervised Hybrid Predictive Bi-Clustering Trees for Drug-Target Interaction Prediction.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost.
Proceedings of the International Joint Conference on Neural Networks, 2022
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
A new grammatical evolution method for generating deep convolutional neural networks with novel topologies.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
The experience of teaching introductory programming skills to bioscientists in Brazil.
PLoS Comput. Biol., 2021
Expert Syst. Appl., 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
2020
Data Min. Knowl. Discov., 2020
Appl. Soft Comput., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.
J. Signal Process. Syst., 2019
Appl. Soft Comput., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
A machine learning based framework to identify and classify long terminal repeat retrotransposons.
PLoS Comput. Biol., 2018
Hierarchical and Non-Hierarchical Classification of Transposable Elements with a Genetic Algorithm.
J. Inf. Data Manag., 2018
Neurocomputing, 2018
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Proceedings of the Symposium on Applied Computing, 2017
Top-down strategies for hierarchical classification of transposable elements with neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Reduction strategies for hierarchical multi-label classification in protein function prediction.
BMC Bioinform., 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Comput. Intell., 2015
Hierarchical classification of Gene Ontology-based protein functions with neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
J. Comput. Syst. Sci., 2014
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
PhD thesis, 2013
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
Proceedings of the ACM Symposium on Applied Computing, 2012
2011
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification.
Intell. Data Anal., 2011
Proceedings of the Advances in Bioinformatics and Computational Biology, 2011
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009