Victor Henrique Alves Ribeiro

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Ensemble Learning

Anomaly Detection

Top Venues

GECCO (Companion)

Publications

Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
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. 23 (1) (2024)
Gilberto Reynoso-Meza, Jesús Carrillo-Ahumada, Victor Henrique Alves Ribeiro, Tainara Marques
Multi-objective PID Controller Tuning for Multi-model Control of Nonlinear Systems. SN Comput. Sci. 3 (5) (2022)
Claudio S. Pinhanez, Paulo Rodrigo Cavalin, Victor Henrique Alves Ribeiro, Ana Paula Appel, Heloisa Candello, Julio Nogima, Mauro Pichiliani, Melina Alberio Guerra, Maíra de Bayser, Gabriel Louzada Malfatti, Henrique Ferreira
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems. ACL/IJCNLP (1) (2021)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification. PLM (2) (2021)
Claudio Santos Pinhanez, Heloisa Candello, Paulo Rodrigo Cavalin, Mauro Carlos Pichiliani, Ana Paula Appel, Victor Henrique Alves Ribeiro, Julio Nogima, Maíra Gatti de Bayser, Melina Alberio Guerra, Henrique Ferreira, Gabriel Louzada Malfatti
Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems. CHI (2021)
Paulo Rodrigo Cavalin, Victor Henrique Alves Ribeiro, Marisa Vasconcelos, Claudio S. Pinhanez, Julio Nogima, Henrique Ferreira
Towards a Method to Classify Language Style for Enhancing Conversational Systems. IJCNN (2021)
Victor Henrique Alves Ribeiro, Paulo R. Cavalin, Edmilson Morais
A Dynamic Multi-criteria Multi-engine Approach for Text Simplification. IJCNN (2021)
Claudio S. Pinhanez, Paulo R. Cavalin, Victor Henrique Alves Ribeiro, Heloisa Candello, Julio Nogima, Ana Paula Appel, Mauro Pichiliani, Maíra Gatti de Bayser, Melina Alberio Guerra, Henrique Ferreira, Gabriel Louzada Malfatti
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms. CoRR (2020)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets. Expert Syst. Appl. 147 (2020)
Paulo R. Cavalin, Marisa Vasconcelos, Marcelo Grave, Claudio S. Pinhanez, Victor Henrique Alves Ribeiro
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer. EMNLP (Findings) (2020)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Hugo Valadares Siqueira
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting. Eng. Appl. Artif. Intell. 95 (2020)
Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. IJCNN (2020)
Paulo R. Cavalin, Victor Henrique Alves Ribeiro, Ana Paula Appel, Claudio S. Pinhanez
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes. EMNLP (1) (2020)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
A study of Pareto-based methods for ensemble pool generation and aggregation. CEC (2019)
Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. IJCNN (2019)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
A holistic multi-objective optimization design procedure for ensemble member generation and selection. Appl. Soft Comput. 83 (2019)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach. GECCO (Companion) (2019)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Online anomaly detection for drinking water quality using a multi-objective machine learning approach. GECCO (Companion) (2018)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Multi-objective PID Controller Tuning for an Industrial Gasifier. CEC (2018)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring. CEC (2018)
Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
A multi-objective optimization design framework for ensemble generation. GECCO (Companion) (2018)