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Hugo Valadares Siqueira
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- affiliation: Federal University of Technology - Paraná, Department of Electric Engineering, Ponta Grossa, Brazil
- affiliation (PhD 2013): University of Campinas, DENSIS, Brazil
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2020 – today
- 2024
- [j26]Hai Tao, Sani Isah Abba
, Ahmed M. Al-Areeq, Fredolin Tangang
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. 129: 107559 (2024) - [j25]Elias Amancio Siqueira-Filho
Multivariate and hybrid data-driven models to predict thermoelectric power plants fuel consumption. Expert Syst. Appl. 252: 124219 (2024) - 2023
- [j24]Lucas Francesco Piccioni Costa
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison. Appl. Artif. Intell. 37(1) (2023) - [j23]José Fernando de Toledo
Climate Indices Impact in Monthly Streamflow Series Forecasting. IEEE Access 11: 21451-21464 (2023) - [j22]Clodomir J. Santana Jr.
Bio-Inspired Multi-Objective Algorithms Applied on the Optimization of the AODV's Routing Recovery Mechanism. IEEE Access 11: 116480-116496 (2023) - [j21]Hugo Siqueira
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction. Int. Trans. Oper. Res. 30(2): 742-773 (2023) - [j20]Lucas Vacilotto Bonfati
Correlation Analysis of In-Vehicle Sensors Data and Driver Signals in Identifying Driving and Driver Behaviors. Sensors 23(1): 263 (2023) - [j19]Melissa La Banca Freitas
Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals. Sensors 23(13): 6233 (2023) - [c21]André A. V. Escorel Ribeiro
Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence. BRACIS (2) 2023: 197-212 - [c20]Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Carmelo J. A. Bastos Filho:
Applying Reinforcement Learning to Combine Multiple Swarm-based Algorithms. LA-CCI 2023: 1-6 - [c19]Lenon Diniz Seixas
Vehicle Industry Big Data Analysis Using Clustering Approaches. OL2A (2) 2023: 312-325 - [c18]Rodrigo Cesar Lira
Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select PSO Communication Topology. ICSI (2) 2023: 38-48 - 2022
- [j18]Fábio Galvão Borges
Metaheuristics-Based Optimization of a Robust GAPID Adaptive Control Applied to a DC Motor-Driven Rotating Beam with Variable Load. Sensors 22(16): 6094 (2022) - [c17]Rodrigo Cesar Lira
Boolean Binary Grey Wolf Optimizer. LA-CCI 2022: 1-6 - [c16]Elias Amancio Siqueira-Filho, Maira Farias Andrade Lira
Hybrid Models Based on Error Correction to Predict Thermoelectric Power Plants Fuel Consumption. LA-CCI 2022: 1-6 - 2021
- [j17]Paulo S. G. de Mattos Neto
Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access 9: 14470-14490 (2021) - [j16]Mariana Macedo
Overview on Binary Optimization Using Swarm-Inspired Algorithms. IEEE Access 9: 149814-149858 (2021) - [j15]Marcella S. R. Martins, Mohamed El Yafrani
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics 27(4): 549-573 (2021) - [j14]Hugo Siqueira, Clodomir J. Santana Jr., Mariana Macedo, Elliackin M. N. Figueiredo, Anuradha Gokhale, Carmelo J. A. Bastos Filho
Simplified binary cat swarm optimization. Integr. Comput. Aided Eng. 28(1): 35-50 (2021) - [j13]Paulo S. G. de Mattos Neto, João F. L. de Oliveira, Domingos S. de O. Junior, Hugo Valadares Siqueira, Manoel Henrique da Nobrega Marinho
An adaptive hybrid system using deep learning for wind speed forecasting. Inf. Sci. 581: 495-514 (2021) - [j12]Paulo S. G. de Mattos Neto
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. Sensors 21(23): 8096 (2021) - [c15]Tathiana M. Barchi, Lucas Francesco Piccioni Costa, Erickson Diogo Pereira Puchta, Marcella S. R. Martins, Mauren Louise Sguario C. Andrade, Paulo S. G. de Mattos Neto, Hugo Valadares Siqueira:
A Hybrid Model With Error Correction for Wind Speed Forecasting. LA-CCI 2021: 1-6 - [c14]Rodrigo C. Lira
Modelling the Social Interactions in Grey Wolf Optimizer. LA-CCI 2021: 1-6 - [c13]José Fernando de Toledo, Patrícia Teixeira Leite Assano, Hugo Valadares Siqueira, Rodrigo Sacchi:
Performance comparison of machine learning models for streamflow forecasting. LA-CCI 2021: 1-6 - 2020
- [j11]Paulo S. G. de Mattos Neto
A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. IEEE Access 8: 191365-191377 (2020) - [j10]Everton Leonardo Skeika
Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging. IEEE Access 8: 191519-191529 (2020) - [j9]José Jair Alves Mendes Junior
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach. Biomed. Signal Process. Control. 59: 101920 (2020) - [j8]Victor Henrique Alves Ribeiro
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting. Eng. Appl. Artif. Intell. 95: 103910 (2020) - [j7]Lilian N. Araujo, Jonatas Trabuco Belotti, Thiago Antonini Alves
Ensemble method based on Artificial Neural Networks to estimate air pollution health risks. Environ. Model. Softw. 123 (2020) - [j6]Lucas Medeiros Souza do Nascimento, Lucas Vacilotto Bonfati, Melissa La Banca Freitas, José Jair Alves Mendes Junior
Sensors and Systems for Physical Rehabilitation and Health Monitoring - A Review. Sensors 20(15): 4063 (2020) - [j5]Erickson Diogo Pereira Puchta, Hugo Valadares Siqueira
Optimization Tools Based on Metaheuristics for Performance Enhancement in a Gaussian Adaptive PID Controller. IEEE Trans. Cybern. 50(3): 1185-1194 (2020) - [c12]Sthefanie Monica Premebida, Denise Pechebovicz, Thiago Camargo, Henrique Nazário, Vinicios Soares, Virgínia H. V. Baroncini, Erikson Freitas de Morais, Hugo Siqueira
Sunspot behavior forecast using neural networks approaches. ICIT 2020: 696-700
2010 – 2019
- 2019
- [j4]Elliackin M. N. Figueiredo, Mariana Macedo, Hugo Valadares Siqueira
Swarm intelligence for clustering - A systematic review with new perspectives on data mining. Eng. Appl. Artif. Intell. 82: 313-329 (2019) - [j3]Clodomir J. Santana Jr.
A novel binary artificial bee colony algorithm. Future Gener. Comput. Syst. 98: 180-196 (2019) - [c11]Clodomir J. Santana Jr.
SBFSS: Simplified Binary Fish School Search. CEC 2019: 2595-2602 - [c10]Mariana Macedo, Clodomir J. Santana Jr.
Investigation of College Dropout with the Fuzzy C-Means Algorithm. ICALT 2019: 187-189 - 2018
- [j2]Hugo Valadares Siqueira
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants. Appl. Soft Comput. 68: 494-506 (2018) - [c9]Hugo Siqueira
Double-Swarm Binary Particle Swarm Optimization. CEC 2018: 1-8 - [c8]Jonatas Trabuco Belotti, Lilian N. A. Lazzarin, Fábio Luiz Usberti, Hugo Siqueira
Seasonal Streamflow Series Forecasting Using Recurrent Neural Networks. LA-CCI 2018: 1-6 - [c7]Mariana Macedo, Carlos Henrique Macedo dos Santos
Hyper-Heuristics Using Genetic Programming to Time Series Forecasting. LA-CCI 2018: 1-6 - [c6]Hugo Siqueira
Boolean Binary Cat Swarm Optimization Algorithm. LA-CCI 2018: 1-6 - 2017
- [c5]Pedro B. Santos, Mariana Macedo, Elliackin M. N. Figueiredo, Clodomir J. Santana Jr.
Application of PSO-based clustering algorithms on educational databases. LA-CCI 2017: 1-6 - 2016
- [c4]Hugo Valadares Siqueira
Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant. LA-CCI 2016: 1-6 - [c3]Yara de Souza Tadano, Hugo Valadares Siqueira
Unorganized machines to predict hospital admissions for respiratory diseases. LA-CCI 2016: 1-6 - 2014
- [j1]Hugo Valadares Siqueira
Unorganized Machines for seasonal streamflow Series Forecasting. Int. J. Neural Syst. 24(3) (2014) - 2013
- [b1]Hugo Valadares Siqueira:
Unorganized machines to seasonal streamflow series forecasting. University of Campinas, Brazil, 2013 - 2012
- [c2]Hugo Valadares Siqueira
Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction. ICONIP (2) 2012: 491-500 - [c1]Hugo Valadares Siqueira
Echo State Networks for Seasonal Streamflow Series Forecasting. IDEAL 2012: 226-236
Coauthor Index
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last updated on 2024-08-23 18:32 CEST by the dblp team
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