Delaunay refinement for curved complexes. - Adriano Chaves Lisboa (2008)

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 (ICTAI (2), 2010)

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 (ICMLA (2), 2012)

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 (IECON, 2013)

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 (ICTAI, 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 (IDEAL, 2014)

Color feature selection for smoke detection in videos. - Gabriela Miranda; Adriano Chaves Lisboa; Douglas A. G. Vieira; Francisco Queiroz; Carlos Nascimento (INDIN, 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)

Portfolio selection for open-pit mining assets acquisition. - Lucas S. Ferreira; Elizabeth Fialho Wanner; Adriano Chaves Lisboa; Douglas A. G. Vieira (CEC, 2016)

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 (LA-CCI, 2017)

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)

A cutting-plane method to nonsmooth multiobjective optimization problems. - Douglas A. G. Vieira; Adriano Chaves Lisboa (Eur. J. Oper. Res., 2019)

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)

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 (LA-CCI, 2021)

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)

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 (VISIGRAPP (4: VISAPP), 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., 2023)

Version 8 of YOLO for Wildfire Detection. - César Abreu; Creison Nunes; Adriano Chaves Lisboa (DeLTA (2), 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)