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Reduction strategies for hierarchical multi-label classification in protein function prediction

BMC bioinformatics, 2016-09, Vol.17 (1), p.373-373, Article 373

2016

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Genome analysis of Phrixothrix hirtus (Phengodidae) railroad worm shows the expansion of odorant-binding gene families and positive selection on morphogenesis and sex determination genes

Gene, 2023-01, Vol.850, p.146917-146917, Article 146917

2023

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Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II

1st Edition 2020, 2020

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Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I

1st Edition 2020, 2020

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A machine learning based framework to identify and classify long terminal repeat retrotransposons

PLoS computational biology, 2018-04, Vol.14 (4), p.e1006097-e1006097

2018

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Multi-label classification via closed frequent labelsets and label taxonomies

Soft computing (Berlin, Germany), 2023-07, Vol.27 (13), p.8627-8660

2023

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Active learning for hierarchical multi-label classification

Data mining and knowledge discovery, 2020-09, Vol.34 (5), p.1496-1530

2020

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A systematic literature review on AutoML for multi-target learning tasks

The Artificial intelligence review, 2023-11, Vol.56 (Suppl 2), p.2013-2052

2023

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Preventing the generation of inconsistent sets of crisp classification rules

Expert systems with applications, 2021-03, Vol.165, p.113811, Article 113811

2021

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Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings

2020

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Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings

2020

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Data Streams Are Time Series: Challenging Assumptions

Intelligent Systems, p.529-543

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Beyond global and local multi-target learning

Information sciences, 2021-11, Vol.579, p.508-524

2021

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A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies

Applied soft computing, 2023-12, Vol.149, p.110967, Article 110967

2023

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Novelty detection for multi-label stream classification under extreme verification latency

Applied soft computing, 2023-07, Vol.141, p.110265, Article 110265

2023

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Hierarchical multi-label classification using local neural networks

Journal of computer and system sciences, 2014-02, Vol.80 (1), p.39-56

2014

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Applying multi-label techniques in emotion identification of short texts

Neurocomputing (Amsterdam), 2018-12, Vol.320, p.35-46

2018

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DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking

Applied soft computing, 2020-06, Vol.91, p.106215, Article 106215

2020

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Pre-trained Data Augmentation for Text Classification

Intelligent Systems, p.551-565

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Neural Architecture Search in Graph Neural Networks

Intelligent Systems, p.302-317

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BERTimbau: Pretrained BERT Models for Brazilian Portuguese

Intelligent Systems, p.403-417

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Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms

Applied soft computing, 2019-04, Vol.77, p.584-604

2019

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Two-dimensional MoS2-based impedimetric electronic tongue for the discrimination of endocrine disrupting chemicals using machine learning

Sensors and actuators. B, Chemical, 2021-06, Vol.336, p.129696, Article 129696

2021

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Automated CNN optimization using multi-objective grammatical evolution

Applied soft computing, 2024-01, Vol.151, p.111124, Article 111124

2024

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Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm

Progress in Artificial Intelligence, p.737-749

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Reduction strategies for hierarchical multi-label classification in protein function prediction

Genome analysis of Phrixothrix hirtus (Phengodidae) railroad worm shows the expansion of odorant-binding gene families and positive selection on morphogenesis and sex determination genes

Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part II

Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings, Part I

A machine learning based framework to identify and classify long terminal repeat retrotransposons

Multi-label classification via closed frequent labelsets and label taxonomies

Active learning for hierarchical multi-label classification

A systematic literature review on AutoML for multi-target learning tasks

Preventing the generation of inconsistent sets of crisp classification rules

Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings

Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings

Data Streams Are Time Series: Challenging Assumptions

Beyond global and local multi-target learning

A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies

Novelty detection for multi-label stream classification under extreme verification latency

Hierarchical multi-label classification using local neural networks

Applying multi-label techniques in emotion identification of short texts

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking

Pre-trained Data Augmentation for Text Classification

Neural Architecture Search in Graph Neural Networks

BERTimbau: Pretrained BERT Models for Brazilian Portuguese

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms

Two-dimensional MoS2-based impedimetric electronic tongue for the discrimination of endocrine disrupting chemicals using machine learning

Automated CNN optimization using multi-objective grammatical evolution

Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm

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