Adriano Chaves Lisboa

According to our database, Adriano Chaves Lisboa authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Risk Measure Analysis.

Adriano Chaves Lisboa, Felipe Augusto Cardoso Pereira, Fellipe Fernandes Goulart Dos Santos, Lidia Caroline A. Pereira Da Silva, Airton Isaac Pereira, Matheus de Oliveira Mendonça, Gustavo Rodrigues Lacerda Silva, Lais Claudine Schiavo Gomes, Douglas Alexandre Gomes Vieira

IEEE Access, 2024

Version 8 of YOLO for Wildfire Detection.

César Abreu, Creison Nunes, Adriano Chaves Lisboa

Proceedings of the Deep Learning Theory and Applications, 2024

2023

A hybrid method for fire detection based on spatial and temporal patterns.

Pedro Vinícius A. B. de Venâncio, Roger J. Campos, Tamires Martins Rezende, Adriano Chaves Lisboa, Adriano V. Barbosa

Neural Comput. Appl., May, 2023

Shape-based Features Investigation for Preneoplastic Lesions on Cervical Cancer Diagnosis.

Daniela C. Terra, Adriano Chaves Lisboa, Mariana T. Rezende, Cláudia M. Carneiro, Andrea G. C. Bianchi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices.

Pedro Vinícius A. B. de Venâncio, Adriano Chaves Lisboa, Adriano V. Barbosa

Neural Comput. Appl., 2022

2021

Fire Detection based on a Two-Dimensional Convolutional Neural Network and Temporal Analysis.

Pedro Vinícius A. B. de Venâncio, Tamires Martins Rezende, Adriano Chaves Lisboa, Adriano V. Barbosa

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies.

Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha

Artif. Intell. Rev., 2020

2019

A cutting-plane method to nonsmooth multiobjective optimization problems.

Douglas A. G. Vieira, Adriano Chaves Lisboa

Eur. J. Oper. Res., 2019

On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets.

Adriano Chaves Lisboa, Flávio H. B. De Souza, César M. Ribeiro, Carlos A. Maia, Rodney R. Saldanha, Felipe L. B. Castro, Douglas A. G. Vieira

IEEE Access, 2019

2017

Advanced fuzzy time series applied to short term load forecasting.

Guilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016

Portfolio selection for open-pit mining assets acquisition.

Lucas S. Ferreira, Elizabeth Fialho Wanner, Adriano Chaves Lisboa, Douglas A. G. Vieira

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014

Line search methods with guaranteed asymptotical convergence to an improving local optimum of multimodal functions.

Douglas Alexandre Gomes Vieira, Adriano Chaves Lisboa

Eur. J. Oper. Res., 2014

Color feature selection for smoke detection in videos.

Gabriela Miranda, Adriano Chaves Lisboa, Douglas A. G. Vieira, Francisco Queiroz, Carlos Nascimento

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights.

Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

A Comparative Study of Extreme Learning Machine Pruning Based on Detection of Linear Independence.

Leonardo D. Tavares, Rodney Rezende Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Application of modular multilevel converter for HVDC transmission with selective harmonics.

Bruno R. Baroni, Marcos A. Severo Mendes, Porfírio C. Cortizo, Adriano Chaves Lisboa, Rodney R. Saldanha

Proceedings of the IECON 2013, 2013

2012

Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations.

Douglas A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, Adriano Chaves Lisboa

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2010

On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm Optimization.

Gustavo Rodrigues Lacerda Silva, Douglas A. G. Vieira, Adriano Chaves Lisboa, Vasile Palade

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2008

Delaunay refinement for curved complexes.

Adriano Chaves Lisboa

PhD thesis, 2008