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Electroacupuncture ameliorate learning and memory by improving N-acetylaspartate and glutamate metabolism in APP/PS1 mice

Biological research, 2018-07, Vol.51 (1), p.21-21, Article 21

2018

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Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features

Hydrogeology journal, 2017-02, Vol.25 (1), p.169-189

2017

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Improving the spatial resolution of GRACE-based groundwater storage estimates using a machine learning algorithm and hydrological model

Hydrogeology journal, 2022-05, Vol.30 (3), p.947-963

2022

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Breast cancer diagnosis based on mammary thermography and extreme learning machines

Research on biomedical engineering, 2018, Vol.34 (1), p.45-53

2018

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The factor structure of the Motivated Strategies for Learning Questionnaire (MSLQ): new methodological approaches and evidence

Psicologia, reflexão e crítica, 2023-12, Vol.36 (1), p.38-38, Article 38

2023

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An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa

Hydrogeology journal, 2022-03, Vol.30 (2), p.575-600

2022

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VAL-U: Psychometric properties of a Values and Civic Attitudes Scale for University Students’ Service-Learning

Psicologia, reflexão e crítica, 2022-01, Vol.35 (1), p.3-3, Article 3

2022

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Intrinsic Motivation Inventory: Psychometric Properties in the Context of First Language and Mathematics Learning

Psicologia, reflexão e crítica, 2015-09, Vol.28 (3), p.434-443

2015

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Combining statistics: the role of phonotactics on cross-situational word learning

Psicologia, reflexão e crítica, 2022-09, Vol.35 (1), p.30-30, Article 30

2022

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Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging

Advances in rheumatology (London, England), 2020-05, Vol.60 (1), p.25-25, Article 25

2020

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Estimation and scaling of hydrostratigraphic units: application of unsupervised machine learning and multivariate statistical techniques to hydrogeophysical data

Hydrogeology journal, 2016-12, Vol.24 (8), p.2103-2122

Friedel, Michael J.

2016

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Cardiovascular risk assessment using ASCVD risk score in fibromyalgia: a single-centre, retrospective study using "traditional" case control methodology and "novel" machine learning

Advances in rheumatology (London, England), 2021-11, Vol.61 (1), p.72-72, Article 72

2021

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MACHINE LEARNING TECHNIQUES APPLIED TO LIGNOCELLULOSIC ETHANOL IN SIMULTANEOUS HYDROLYSIS AND FERMENTATION

Brazilian journal of chemical engineering, 2017-01, Vol.34 (1), p.53-63

2017

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Learning strategies scale: adaptation to Portuguese and factor structure

Psicologia, reflexão e crítica, 2018-06, Vol.31 (1), p.12-9, Article 12

2018

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Early detection of learning difficulties using the BADyG-E2r Battery during primary education

Psicologia, reflexão e crítica, 2020-05, Vol.33 (1), p.4-4, Article 4

2020

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Learning by exclusion in individuals with autism and Down syndrome

Psicologia, reflexão e crítica, 2017-05, Vol.30 (1), p.9-10, Article 9

2017

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Development of a skateboarding trick classifier using accelerometry and machine learning

Research on biomedical engineering, 2017-10, Vol.33 (4), p.362-369

2017

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Learning Predictors in a Distance Program: A Study with Public Healthcare Providers

Trends in Psychology, 2019-01, Vol.27 (1), p.11-23

2019

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Validación Española del "Learning climate questionaire" adaptado a la Educación Física

Psicologia, reflexão e crítica, 2014-12, Vol.27 (4), p.625-633

2014

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Cognitive style and learning strategies as factors which affect academic achievement of brazilian university students

Psicologia, reflexão e crítica, 2012, Vol.25 (1), p.105-113

2012

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Effects of acute stress on learning and memory processes of malnourished rats

Psicologia, reflexão e crítica, 2014-12, Vol.27 (4), p.784-793

2014

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Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China

Hydrogeology journal, 2018-11, Vol.26 (7), p.2327-2340

2018

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Groundwater contamination source estimation based on a refined particle filter associated with a deep residual neural network surrogate

Hydrogeology journal, 2022-05, Vol.30 (3), p.881-897

2022

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Attentional performance and executive functions in children with learning difficulties

Psicologia, reflexão e crítica, 2011-01, Vol.24 (4), p.685-691

2011

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Portuguese corpus-based learning using ETL

Journal of the Brazilian Computer Society, 2008-12, Vol.14 (4), p.17-27

2008

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Electroacupuncture ameliorate learning and memory by improving N-acetylaspartate and glutamate metabolism in APP/PS1 mice

Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features

Improving the spatial resolution of GRACE-based groundwater storage estimates using a machine learning algorithm and hydrological model

Breast cancer diagnosis based on mammary thermography and extreme learning machines

The factor structure of the Motivated Strategies for Learning Questionnaire (MSLQ): new methodological approaches and evidence

An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa

VAL-U: Psychometric properties of a Values and Civic Attitudes Scale for University Students’ Service-Learning

Intrinsic Motivation Inventory: Psychometric Properties in the Context of First Language and Mathematics Learning

Combining statistics: the role of phonotactics on cross-situational word learning

Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging

Estimation and scaling of hydrostratigraphic units: application of unsupervised machine learning and multivariate statistical techniques to hydrogeophysical data

Cardiovascular risk assessment using ASCVD risk score in fibromyalgia: a single-centre, retrospective study using "traditional" case control methodology and "novel" machine learning

MACHINE LEARNING TECHNIQUES APPLIED TO LIGNOCELLULOSIC ETHANOL IN SIMULTANEOUS HYDROLYSIS AND FERMENTATION

Learning strategies scale: adaptation to Portuguese and factor structure

Early detection of learning difficulties using the BADyG-E2r Battery during primary education

Learning by exclusion in individuals with autism and Down syndrome

Development of a skateboarding trick classifier using accelerometry and machine learning

Learning Predictors in a Distance Program: A Study with Public Healthcare Providers

Validación Española del "Learning climate questionaire" adaptado a la Educación Física

Cognitive style and learning strategies as factors which affect academic achievement of brazilian university students

Effects of acute stress on learning and memory processes of malnourished rats

Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China

Groundwater contamination source estimation based on a refined particle filter associated with a deep residual neural network surrogate

Attentional performance and executive functions in children with learning difficulties

Portuguese corpus-based learning using ETL

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