Viviana Cocco Mariani
Orcid: 0000-0003-2490-4568
According to our database1,
Viviana Cocco Mariani
authored at least 74 papers
between 2006 and 2024.
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Bibliography
2024
Deep reinforcement learning applied to a sparse-reward trading environment with intraday data.
Expert Syst. Appl., March, 2024
Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid.
Sensors, February, 2024
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.
Appl. Intell., 2024
2023
Web pages from mockup design based on convolutional neural network and class activation mapping.
Multim. Tools Appl., October, 2023
Analyzing CARLA 's performance for 2D object detection and monocular depth estimation based on deep learning approaches.
Expert Syst. Appl., October, 2023
Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution.
Sensors, August, 2023
Sensors, July, 2023
Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.
Sensors, July, 2023
Artif. Intell. Rev., May, 2023
Sensors, March, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings.
Evol. Syst., 2022
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems.
Comput. Ind. Eng., 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
Soft Comput., 2021
Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility.
Expert Syst. Appl., 2021
IEEE Access, 2021
Space and Time Efficiency Analysis of Data-Driven Methods Applied to Embedded Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods.
J. Biomed. Informatics, 2020
CoRR, 2020
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables.
CoRR, 2020
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model.
CoRR, 2020
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting.
Eng. Appl. Artif. Intell., 2019
2018
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
B-Spline neural network and chaotic harmony search applied to yo-yo motion system identification.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Image thresholding segmentation based on a novel beta differential evolution approach.
Expert Syst. Appl., 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization.
Appl. Math. Comput., 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the ECTA 2014, 2014
A Differential Beta Quantum-behaved Particle Swarm Optimization for Circular Antenna Array Design.
Proceedings of the ECTA 2014, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Modified imperialist competitive algorithm based on attraction and repulsion concepts for reliability-redundancy optimization.
Expert Syst. Appl., 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Chaotic Quantum-behaved Particle Swarm Optimization Approach Applied to Inverse Heat Transfer Problem.
Proceedings of the IJCCI 2013, 2013
Firefly approach optimized wavenets applied to multivariable identification of a thermal process.
Proceedings of Eurocon 2013, 2013
2012
Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process.
Expert Syst. Appl., 2012
Solution of Jiles-Atherton vector hysteresis parameters estimation by modified Differential Evolution approaches.
Expert Syst. Appl., 2012
Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning.
Comput. Math. Appl., 2012
Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012
2011
A Discrete Differential Evolution Approach with Local Search for Traveling Salesman Problems.
Proceedings of the Innovative Computing Methods and Their Applications to Engineering Problems, 2011
Proceedings of the Innovative Computing Methods and Their Applications to Engineering Problems, 2011
A hybrid shuffled complex evolution approach with pattern search for unconstrained optimization.
Math. Comput. Simul., 2011
Modified differential evolution approaches applied in exergoeconomic analysis and optimization of a cogeneration system.
Expert Syst. Appl., 2011
A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization.
Appl. Math. Comput., 2011
A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Cauchy particle swarm optimization with dynamic adaptation applied to inverse heat transfer problem.
Proceedings of the IEEE International Conference on Systems, 2010
Differential evolution with dynamic adaptation of mutation factor applied to inverse heat transfer problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Chaotic differential Harmony Search algorithm applied to power economic dispatch of generators with multiple fuel options.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems.
Math. Comput. Simul., 2009
A Normative Self-Organizing Migrating Algorithm for Power Economic Dispatch of Thermal Generators with Valve-Point Effects and Multiple Fuels.
Proceedings of the IEEE International Conference on Systems, 2009
A Harmony Search Algorithm Combined with Differential Operator Applied to Reliability-Redundancy Optimization.
Proceedings of the IEEE International Conference on Systems, 2009
2008
Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization.
Expert Syst. Appl., 2008
Cultural differential evolution approach to optimize the economic dispatch of electrical energy using thermal generators.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
2006
Particle Swarm Optimization with Quasi-Newton Local Search for Solving Economic Dispatch Problem.
Proceedings of the IEEE International Conference on Systems, 2006
An Efficient Particle Swarm Optimization Approach Based on Cultural Algorithm Applied to Mechanical Design.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006