Victor Henrique Alves Ribeiro
Orcid: 0000-0002-9196-9890
According to our database1,
Victor Henrique Alves Ribeiro
authored at least 15 papers
between 2018 and 2021.
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Bibliography
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification.
Proceedings of the Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations, 2021
Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2019
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Online anomaly detection for drinking water quality using a multi-objective machine learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018