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Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems

Journal of intelligent & robotic systems, 2018-05, Vol.90 (1-2), p.133-145

2018

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Euclidean distance estimation in incomplete datasets

Neurocomputing (Amsterdam), 2017-07, Vol.248, p.11-18

2017

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Adaptive learning in computer science education: A scoping review

Education and information technologies, 2024-06, Vol.29 (8), p.9139-9188

2024

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Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach

Neurocomputing (Amsterdam), 2018-12, Vol.321, p.308-320

2018

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Self-tuning portfolio-based Bayesian optimization

Expert systems with applications, 2022-02, Vol.188, p.115847, Article 115847

2022

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Ensemble of Efficient Minimal Learning Machines for Classification and Regression

Neural processing letters, 2017-12, Vol.46 (3), p.751-766

2017

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On the design of a similarity function for sparse binary data with application on protein function annotation

Knowledge-based systems, 2022-02, Vol.238, p.107863, Article 107863

2022

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Gaussian kernels for incomplete data

Applied soft computing, 2019-04, Vol.77, p.356-365

2019

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A sparse linear regression model for incomplete datasets

Pattern analysis and applications : PAA, 2020-08, Vol.23 (3), p.1293-1303

2020

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A new perspective for Minimal Learning Machines: A lightweight approach

Neurocomputing (Amsterdam), 2020-08, Vol.401, p.308-319

2020

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Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression

International journal of neural systems, 2020-05, Vol.30 (5), p.2050023

2020

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Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine

New generation computing, 2018, Vol.36 (1), p.41-58

2018

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LS-SVR as a Bayesian RBF Network

IEEE transaction on neural networks and learning systems, 2020-10, Vol.31 (10), p.4389-4393

2020

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Bayesian Multilateration

IEEE signal processing letters, 2022, Vol.29, p.962-966

2022

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Battery Discharge forecast applied in Unmanned Aerial Vehicle

Przegląd elektrotechniczny, 2016-02, Vol.1 (2), p.187-194

Souza, Darielson

2016

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Forward Stagewise Regression on Incomplete Datasets

Advances in Computational Intelligence, p.386-395

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Optimally Selected Minimal Learning Machine

Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018, Vol.11314, p.670-678

2018

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Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning

IEEE systems journal, 2015-12, Vol.9 (4), p.1197-1207

2015

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OnMLM: An Online Formulation for the Minimal Learning Machine

Advances in Computational Intelligence, p.557-568

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Improvements on the offline performance evaluation of fault prognostics methods

2011 Aerospace Conference, 2011, p.1-6

2011

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Aircraft flap and slat systems health monitoring using Statistical Process Control techniques

2009 IEEE Aerospace conference, 2009, p.1-8

2009

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How to tell the good from the bad in failure prognostics methods

2010 IEEE Aerospace Conference, 2010, p.1-7

2010

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Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines

2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, p.878-883

2019

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No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization

2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019, p.561-568

2019

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Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator

2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, p.433-437

2016

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Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems

Euclidean distance estimation in incomplete datasets

Adaptive learning in computer science education: A scoping review

Sparse Least-Squares Support Vector Machines via Accelerated Segmented Test: A dual approach

Self-tuning portfolio-based Bayesian optimization

Ensemble of Efficient Minimal Learning Machines for Classification and Regression

On the design of a similarity function for sparse binary data with application on protein function annotation

Gaussian kernels for incomplete data

A sparse linear regression model for incomplete datasets

A new perspective for Minimal Learning Machines: A lightweight approach

Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression

Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine

LS-SVR as a Bayesian RBF Network

Bayesian Multilateration

Battery Discharge forecast applied in Unmanned Aerial Vehicle

Forward Stagewise Regression on Incomplete Datasets

Optimally Selected Minimal Learning Machine

Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning

OnMLM: An Online Formulation for the Minimal Learning Machine

Improvements on the offline performance evaluation of fault prognostics methods

Aircraft flap and slat systems health monitoring using Statistical Process Control techniques

How to tell the good from the bad in failure prognostics methods

Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines

No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization

Shrinkage k-Means: A Clustering Algorithm Based on the James-Stein Estimator

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