Victor Henrique Alves Ribeiro

Orcid: 0000-0002-9196-9890

According to our database1, Victor Henrique Alves Ribeiro authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-criteria Decision-Making Techniques for the Selection of Pareto-optimal Machine Learning Models in a Drinking-Water Quality Monitoring Problem.
Int. J. Inf. Technol. Decis. Mak., January, 2024

2022
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems.
SN Comput. Sci., 2022

2021
A Dynamic Multi-criteria Multi-engine Approach for Text Simplification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards a Method to Classify Language Style for Enhancing Conversational Systems.
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
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets.
Expert Syst. Appl., 2020

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting.
Eng. Appl. Artif. Intell., 2020

Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms.
CoRR, 2020

Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer.
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
A holistic multi-objective optimization design procedure for ensemble member generation and selection.
Appl. Soft Comput., 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

A study of Pareto-based methods for ensemble pool generation and aggregation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A multi-objective optimization design framework for ensemble generation.
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

Multi-objective PID Controller Tuning for an Industrial Gasifier.
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


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