Adriano Chaves Lisboa

According to our database1, Adriano Chaves Lisboa authored at least 17 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A hybrid method for fire detection based on spatial and temporal patterns.
Neural Comput. Appl., May, 2023

Shape-based Features Investigation for Preneoplastic Lesions on Cervical Cancer Diagnosis.
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.
Neural Comput. Appl., 2022

2021
Fire Detection based on a Two-Dimensional Convolutional Neural Network and Temporal Analysis.
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.
Artif. Intell. Rev., 2020

2019
A cutting-plane method to nonsmooth multiobjective optimization problems.
Eur. J. Oper. Res., 2019

On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets.
IEEE Access, 2019

2017
Advanced fuzzy time series applied to short term load forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016
Portfolio selection for open-pit mining assets acquisition.
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.
Eur. J. Oper. Res., 2014

Color feature selection for smoke detection in videos.
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.
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.
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.
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.
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.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2008
Delaunay refinement for curved complexes.
PhD thesis, 2008


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