Hugo Valadares Siqueira

Orcid: 0000-0002-1278-4602

Affiliations:
  • Federal University of Technology - Paraná, Department of Electric Engineering, Ponta Grossa, Brazil
  • University of Campinas, DENSIS, Brazil (PhD 2013)


According to our database1, Hugo Valadares Siqueira authored at least 48 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multivariate and hybrid data-driven models to predict thermoelectric power plants fuel consumption.
Expert Syst. Appl., 2024

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.
Eng. Appl. Artif. Intell., 2024

2023
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison.
Appl. Artif. Intell., December, 2023

Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals.
Sensors, July, 2023

Correlation Analysis of In-Vehicle Sensors Data and Driver Signals in Identifying Driving and Driver Behaviors.
Sensors, 2023

Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction.
Int. Trans. Oper. Res., 2023

Climate Indices Impact in Monthly Streamflow Series Forecasting.
IEEE Access, 2023

Bio-Inspired Multi-Objective Algorithms Applied on the Optimization of the AODV's Routing Recovery Mechanism.
IEEE Access, 2023

Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select PSO Communication Topology.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Vehicle Industry Big Data Analysis Using Clustering Approaches.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

Applying Reinforcement Learning to Combine Multiple Swarm-based Algorithms.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Metaheuristics-Based Optimization of a Robust GAPID Adaptive Control Applied to a DC Motor-Driven Rotating Beam with Variable Load.
Sensors, 2022

Hybrid Models Based on Error Correction to Predict Thermoelectric Power Plants Fuel Consumption.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Boolean Binary Grey Wolf Optimizer.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

2021
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.
Sensors, 2021

An adaptive hybrid system using deep learning for wind speed forecasting.
Inf. Sci., 2021

Simplified binary cat swarm optimization.
Integr. Comput. Aided Eng., 2021

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape.
J. Heuristics, 2021

Neural-Based Ensembles for Particulate Matter Forecasting.
IEEE Access, 2021

Overview on Binary Optimization Using Swarm-Inspired Algorithms.
IEEE Access, 2021

Performance comparison of machine learning models for streamflow forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Modelling the Social Interactions in Grey Wolf Optimizer.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A Hybrid Model With Error Correction for Wind Speed Forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020
Optimization Tools Based on Metaheuristics for Performance Enhancement in a Gaussian Adaptive PID Controller.
IEEE Trans. Cybern., 2020

Sensors and Systems for Physical Rehabilitation and Health Monitoring - A Review.
Sensors, 2020

Ensemble method based on Artificial Neural Networks to estimate air pollution health risks.
Environ. Model. Softw., 2020

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting.
Eng. Appl. Artif. Intell., 2020

Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach.
Biomed. Signal Process. Control., 2020

Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging.
IEEE Access, 2020

A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting.
IEEE Access, 2020

Sunspot behavior forecast using neural networks approaches.
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

2019
A novel binary artificial bee colony algorithm.
Future Gener. Comput. Syst., 2019

Swarm intelligence for clustering - A systematic review with new perspectives on data mining.
Eng. Appl. Artif. Intell., 2019

Investigation of College Dropout with the Fuzzy C-Means Algorithm.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

SBFSS: Simplified Binary Fish School Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants.
Appl. Soft Comput., 2018

Boolean Binary Cat Swarm Optimization Algorithm.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Hyper-Heuristics Using Genetic Programming to Time Series Forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Seasonal Streamflow Series Forecasting Using Recurrent Neural Networks.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Double-Swarm Binary Particle Swarm Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Application of PSO-based clustering algorithms on educational databases.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016
Unorganized machines to predict hospital admissions for respiratory diseases.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2014
Unorganized Machines for seasonal streamflow Series Forecasting.
Int. J. Neural Syst., 2014

2013
Unorganized machines to seasonal streamflow series forecasting.
PhD thesis, 2013

2012
Echo State Networks for Seasonal Streamflow Series Forecasting.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012


  Loading...