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Refinado por: assunto: Methods remover assunto: Science & Technology - Other Topics remover
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Statistical and Machine Learning forecasting methods: Concerns and ways forward
Statistical and Machine Learning forecasting methods: Concerns and ways forward
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Statistical and Machine Learning forecasting methods: Concerns and ways forward

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios Hernandez Montoya, Alejandro Raul

PloS one, 2018-03, Vol.13 (3), p.e0194889-e0194889 [Periódico revisado por pares]

United States: Public Library of Science

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2
An empirical survey of data augmentation for time series classification with neural networks
An empirical survey of data augmentation for time series classification with neural networks
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An empirical survey of data augmentation for time series classification with neural networks

Iwana, Brian Kenji ; Uchida, Seiichi Schwenker, Friedhelm

PloS one, 2021-07, Vol.16 (7), p.e0254841-e0254841 [Periódico revisado por pares]

United States: Public Library of Science

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3
RNA-Seq differential expression analysis: An extended review and a software tool
RNA-Seq differential expression analysis: An extended review and a software tool
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RNA-Seq differential expression analysis: An extended review and a software tool

Costa-Silva, Juliana ; Domingues, Douglas ; Lopes, Fabricio Martins Wei, Zhi

PloS one, 2017-12, Vol.12 (12), p.e0190152-e0190152 [Periódico revisado por pares]

United States: Public Library of Science

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4
Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia
Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia
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Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia

Kirchherr, Julian ; Charles, Katrina Guetterman, Timothy C.

PloS one, 2018-08, Vol.13 (8), p.e0201710-e0201710 [Periódico revisado por pares]

United States: Public Library of Science

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5
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Rustam, Furqan ; Khalid, Madiha ; Aslam, Waqar ; Rupapara, Vaibhav ; Mehmood, Arif ; Choi, Gyu Sang Mumtaz, Wajid

PloS one, 2021-02, Vol.16 (2), p.e0245909-e0245909 [Periódico revisado por pares]

United States: Public Library of Science

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6
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Kang, Min-Joo ; Kang, Je-Won Tang, Tieqiao

PloS one, 2016-06, Vol.11 (6), p.e0155781-e0155781 [Periódico revisado por pares]

United States: Public Library of Science

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7
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Esteban, Oscar ; Birman, Daniel ; Schaer, Marie ; Koyejo, Oluwasanmi O ; Poldrack, Russell A ; Gorgolewski, Krzysztof J Bernhardt, Boris C

PloS one, 2017-09, Vol.12 (9), p.e0184661-e0184661 [Periódico revisado por pares]

United States: Public Library of Science

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8
SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data
SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data
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SARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data

Varet, Hugo ; Brillet-Guéguen, Loraine ; Coppée, Jean-Yves ; Dillies, Marie-Agnès Mills, Ken

PloS one, 2016-06, Vol.11 (6), p.e0157022-e0157022 [Periódico revisado por pares]

United States: Public Library of Science

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9
The False positive problem of automatic bot detection in social science research
The False positive problem of automatic bot detection in social science research
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The False positive problem of automatic bot detection in social science research

Rauchfleisch, Adrian ; Kaiser, Jonas Zollo, Fabiana

PloS one, 2020-10, Vol.15 (10), p.e0241045-e0241045 [Periódico revisado por pares]

United States: Public Library of Science

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10
Interpretation and identification of within-unit and cross-sectional variation in panel data models
Interpretation and identification of within-unit and cross-sectional variation in panel data models
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Interpretation and identification of within-unit and cross-sectional variation in panel data models

Kropko, Jonathan ; Kubinec, Robert Al-Ameri, Talib

PloS one, 2020-04, Vol.15 (4), p.e0231349-e0231349 [Periódico revisado por pares]

United States: Public Library of Science

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