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A multivariate method for detecting and characterizing the changes in responses of sensors when extreme outliers arise

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108424, Article 108424

2024

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Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil

Expert systems with applications, 2013-12, Vol.40 (18), p.7596-7606

2013

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Classifying longevity profiles through longitudinal data mining

Expert systems with applications, 2019-03, Vol.117, p.75-89

2019

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Extreme precipitation prediction based on neural network model – A case study for southeastern Brazil

Journal of hydrology (Amsterdam), 2022-03, Vol.606, p.127454, Article 127454

2022

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Impact of metrics on biclustering solution and quality: A review

Pattern recognition, 2022-07, Vol.127, p.108612, Article 108612

2022

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Categorical data clustering: What similarity measure to recommend?

Expert systems with applications, 2015-02, Vol.42 (3), p.1247-1260

2015

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Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm

Computers in biology and medicine, 2023-05, Vol.158, p.106799-106799, Article 106799

2023

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OrgBR-M: a method to assist in organizing bibliographic material based on formal concept analysis—a case study in educational data mining

International journal on digital libraries, 2020-12, Vol.21 (4), p.423-448

2020

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Handling high dimensionality contexts in formal concept analysis via binary decision diagrams

Information sciences, 2018-03, Vol.429, p.361-376

2018

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Identification and characterisation of Facebook user profiles considering interaction aspects

Behaviour & information technology, 2019-08, Vol.38 (8), p.858-872

2019

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A DFT Study of the Reaction of Acrylamide with L-Cysteine and L-Glutathione

Molecules (Basel, Switzerland), 2022-11, Vol.27 (23), p.8220

2022

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Characterization of time series for analyzing of the evolution of time series clusters

Expert systems with applications, 2015-01, Vol.42 (1), p.596-611

2015

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QSTR Modeling to Find Relevant DFT Descriptors Related to the Toxicity of Carbamates

Molecules (Basel, Switzerland), 2022-08, Vol.27 (17), p.5530

2022

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Transductive learning as an alternative to translation initiation site identification

BMC bioinformatics, 2017-02, Vol.18 (1), p.81-81, Article 81

2017

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Effectively clustering researchers in scientific collaboration networks: case study on ResearchGate

Social network analysis and mining, 2021-12, Vol.11 (1), p.71, Article 71

2021

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A new local causal learning algorithm applied in learning analytics

The international journal of information and learning technology, 2021-01, Vol.38 (1), p.103-115

2021

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Parametric Mathematical Model of the Electrochemical Degradation of 2-Chlorophenol in a Flow-by Reactor under Batch Recirculation Mode

Water (Basel), 2023-12, Vol.15 (24), p.4276

2023

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An Integrated Monitoring, Diagnostics, and Prognostics System for Aero-Engines under Long-Term Performance Deterioration

Aerospace, 2024-03, Vol.11 (3), p.217

2024

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Data mining in the reduction of the number of places of experiments for plant cultivates

Computers and electronics in agriculture, 2015-04, Vol.113, p.136-147

2015

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The chemical reactivity and QSPR of organic compounds applied to dye-sensitized solar cells using DFT

Journal of molecular graphics & modelling, 2021-05, Vol.104, p.107852-107852, Article 107852

2021

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Conceptual DFT, machine learning and molecular docking as tools for predicting LD50 toxicity of organothiophosphates

Journal of molecular modeling, 2023-07, Vol.29 (7), p.217-217, Article 217

2023

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Extraction of qualitative behavior rules for industrial processes from reduced concept lattice

Intelligent data analysis, 2020-01, Vol.24 (3), p.643-663

2020

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Estimation of effective diffusion coefficient and its effect on effectiveness factor for HDS catalytic process: A multi-scale approach

Catalysis today, 2014-03, Vol.220-222, p.113-123

2014

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A brief review of the main approaches for treatment of missing data

Intelligent data analysis, 2014-01, Vol.18 (6), p.1177-1198

2014

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Hybrid thermal model for swimming pools based on artificial neural networks for southeast region of Brazil

Expert systems with applications, 2013-06, Vol.40 (8), p.3106-3120

2013

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A multivariate method for detecting and characterizing the changes in responses of sensors when extreme outliers arise

Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil

Classifying longevity profiles through longitudinal data mining

Extreme precipitation prediction based on neural network model – A case study for southeastern Brazil

Impact of metrics on biclustering solution and quality: A review

Categorical data clustering: What similarity measure to recommend?

Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm

OrgBR-M: a method to assist in organizing bibliographic material based on formal concept analysis—a case study in educational data mining

Handling high dimensionality contexts in formal concept analysis via binary decision diagrams

Identification and characterisation of Facebook user profiles considering interaction aspects

A DFT Study of the Reaction of Acrylamide with L-Cysteine and L-Glutathione

Characterization of time series for analyzing of the evolution of time series clusters

QSTR Modeling to Find Relevant DFT Descriptors Related to the Toxicity of Carbamates

Transductive learning as an alternative to translation initiation site identification

Effectively clustering researchers in scientific collaboration networks: case study on ResearchGate

A new local causal learning algorithm applied in learning analytics

Parametric Mathematical Model of the Electrochemical Degradation of 2-Chlorophenol in a Flow-by Reactor under Batch Recirculation Mode

An Integrated Monitoring, Diagnostics, and Prognostics System for Aero-Engines under Long-Term Performance Deterioration

Data mining in the reduction of the number of places of experiments for plant cultivates

The chemical reactivity and QSPR of organic compounds applied to dye-sensitized solar cells using DFT

Conceptual DFT, machine learning and molecular docking as tools for predicting LD50 toxicity of organothiophosphates

Extraction of qualitative behavior rules for industrial processes from reduced concept lattice

Estimation of effective diffusion coefficient and its effect on effectiveness factor for HDS catalytic process: A multi-scale approach

A brief review of the main approaches for treatment of missing data

Hybrid thermal model for swimming pools based on artificial neural networks for southeast region of Brazil

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