Gustavo Matheus de Almeida

19 papers B 1C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Deep Reinforcement Learning Approach for Fault Detection in Continuous Chemical Processes.
IEEE Access
Rodrigo F. Mantovani, Roberto da Costa Quinino, Éder D. Oliveira, Antônio P. Braga, Gustavo Matheus de Almeida
2024 — conf
Unified Framework to Select an IoT Platform for PtX Cogeneration Plants.
MIPRO
Mehar Ullah, Daniel Gutierrez-Rojas, Gustavo Matheus de Almeida, Tero Tynjälä
2023 J jnl
Dynamic mathematical modelling and simulation of a primary oil separation unit.
Int. J. Simul. Process. Model.
María E. G. Condori, Lucio F. D. Passos, Hugo C. C. Michel, Gustavo Matheus de Almeida, Marcelo Cardoso
2022 J jnl
Automatic update strategy for real-time discovery of hidden customer intents in chatbot systems.
Knowl. Based Syst.
Hugo D. Rebelo, Lucas A. F. de Oliveira, Gustavo Matheus de Almeida, Cesar Augusto Medina Sotomayor, Vivian S. N. Magalhães, Geraldo L. Rochocz
2022 J jnl
Cost-Sensitive Learning based on Performance Metric for Imbalanced Data.
Neural Process. Lett.
Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite de Castro, Antônio de Pádua Braga
2022 J jnl
Heat-loss cycle prediction in steelmaking plants through artificial neural network.
J. Oper. Res. Soc.
Iara Campolina Dias Duarte, Gustavo Matheus de Almeida, Marcelo Cardoso
2022 J jnl
Improving Fault Detection in Industrial Processes by Event-Driven Data Acquisition.
IEEE Access
Daniel Gutierrez-Rojas, Pekka Räsänen, Ana Brandão Belisário, Merim Dzaferagic, Gustavo Matheus de Almeida, Pedro H. J. Nardelli
2022 J jnl
Multi-objective neural network model selection with a graph-based large margin approach.
Inf. Sci.
Luiz C. B. Torres, Cristiano Leite Castro, Honovan P. Rocha, Gustavo Matheus de Almeida, Antônio P. Braga
2021 J jnl
Development of Intelligent Robotic Process Automation: A Utility Case Study in Brazil.
IEEE Access
Bruna Vajgel, Pedro Luiz Pizzigatti Corrêa, Thais Tóssoli De Sousa, Rosa Virginia Encinas Quille, John A. R. Bedoya, Gustavo Matheus de Almeida, Lucia Vilela Leite Filgueiras, Vanessa Rafaela de Souza Demuner, Denis Mollica
2021 J jnl
Intent Identification in Unattended Customer Queries Using an Unsupervised Approach.
J. Inf. Knowl. Manag.
Hugo D. Rebelo, Lucas A. F. de Oliveira, Gustavo Matheus de Almeida, Cesar Augusto Medina Sotomayor, Geraldo L. Rochocz, Willian E. D. Melo
2020 J jnl
Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks.
Int. J. Comput. Intell. Appl.
Ramon Santos Correa, Patricia Teixeira Sampaio, Rafael Utsch Braga, Victor Alberto Lambertucci, Gustavo Matheus de Almeida, Antônio de Pádua Braga
2020 — conf
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning.
ICPS
Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Matheus de Almeida, Pedro H. J. Nardelli, Dick Carrillo, Jean Michel de Souza Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas
2020 J jnl
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning.
CoRR
Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Matheus de Almeida, Pedro H. J. Nardelli, Dick Carrillo, Jean Michel de Souza Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas
2019 J jnl
Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function.
Neural Process. Lett.
Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite Castro, Antônio de Pádua Braga
2017 J jnl
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation.
Eng. Appl. Artif. Intell.
Alexandre W. C. Faria, Frederico Gualberto F. Coelho, Alisson Marques da Silva, Honovan P. Rocha, Gustavo Matheus de Almeida, André P. Lemos, Antônio P. Braga
2016 J jnl
Trend modelling with artificial neural networks. Case study: Operating zones identification for higher SO
Eng. Appl. Artif. Intell.
R. N. Lima, Gustavo Matheus de Almeida, Antônio P. Braga, Marcelo Cardoso
2012 C conf
Fault Detection in Continuous Industrial Chemical Processes: A New Approach Using the Hidden Markov Modeling. Case Study: A Boiler from a Brazilian Cellulose Pulp Mill.
IDEAL
Gustavo Matheus de Almeida, Song Won Park
2010 J jnl
Graphical Representation of Cause-Effect Relationships among Chemical Process Variables Using a Neural Network Approach.
Int. J. Comput. Intell. Appl.
Gustavo Matheus de Almeida, Marcelo Cardoso, Danilo C. Rena, Song Won Park
2008 B conf
Graphical representation of cause-effect relationships among chemical process variables using a neural network approach.
IJCNN
Gustavo Matheus de Almeida, Marcelo Cardoso, Danilo C. Rena, Song Won Park