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The discriminant power of RNA features for pre-miRNA recognition

BMC bioinformatics, 2014-05, Vol.15 (1), p.124-124, Article 124

2014

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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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Novelty detection in data streams

The Artificial intelligence review, 2016-02, Vol.45 (2), p.235-269

2016

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Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy

Entropy (Basel, Switzerland), 2022-10, Vol.24 (10), p.1398

2022

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Reconstructing commuters network using machine learning and urban indicators

Scientific reports, 2019-08, Vol.9 (1), p.11801-13, Article 11801

2019

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CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

Gigascience, 2020-06, Vol.9 (6)

2020

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MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

Machine learning, 2020-08, Vol.109 (8), p.1509-1563

2020

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Forecasting financial market structure from network features using machine learning

Knowledge and information systems, 2024-08, Vol.66 (8), p.4497-4525

2024

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A review on the combination of binary classifiers in multiclass problems

The Artificial intelligence review, 2008-12, Vol.30 (1-4), p.19-37

2008

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Ensembles of label noise filters: a ranking approach

Data mining and knowledge discovery, 2016-09, Vol.30 (5), p.1192-1216

2016

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Evolutionary computing in recommender systems: a review of recent research

Natural computing, 2017-09, Vol.16 (3), p.441-462

2017

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An intelligent and generic approach for detecting human emotions: a case study with facial expressions

Soft computing (Berlin, Germany), 2020-06, Vol.24 (11), p.8467-8479

2020

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Enhancing multilabel classification for food truck recommendation

Expert systems, 2018-08, Vol.35 (4), p.n/a

2018

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Data stream clustering: A survey

ACM computing surveys, 2013-10, Vol.46 (1), p.1-31

2013

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Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

Evolutionary computation, 2013-11, Vol.21 (4), p.659-684

2013

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Adaptive Positive Selection for Keystroke Dynamics

Journal of intelligent & robotic systems, 2015-12, Vol.80 (Suppl 1), p.277-293

2015

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A Survey of Evolutionary Algorithms for Decision-Tree Induction

IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, 2012-05, Vol.42 (3), p.291-312

2012

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UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition

Computational Processing of the Portuguese Language, p.3-14

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Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

Data mining and knowledge discovery, 2024-05, Vol.38 (3), p.1364-1416

2024

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Bringing robustness against adversarial attacks

Nature machine intelligence, 2019-11, Vol.1 (11), p.499-500

2019

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CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems

Nucleic acids research, 2021-07, Vol.49 (W1), p.W125-W130

2021

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A review on preprocessing algorithm selection with meta-learning

Knowledge and information systems, 2024, Vol.66 (1), p.1-28

2024

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BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

Briefings in bioinformatics, 2022-07, Vol.23 (4)

2022

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On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents

Progress in Artificial Intelligence, p.93-104

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The discriminant power of RNA features for pre-miRNA recognition

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

Novelty detection in data streams

Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy

Reconstructing commuters network using machine learning and urban indicators

CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

Forecasting financial market structure from network features using machine learning

A review on the combination of binary classifiers in multiclass problems

Ensembles of label noise filters: a ranking approach

Evolutionary computing in recommender systems: a review of recent research

An intelligent and generic approach for detecting human emotions: a case study with facial expressions

Enhancing multilabel classification for food truck recommendation

Data stream clustering: A survey

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

Adaptive Positive Selection for Keystroke Dynamics

A Survey of Evolutionary Algorithms for Decision-Tree Induction

UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

Bringing robustness against adversarial attacks

CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems

A review on preprocessing algorithm selection with meta-learning

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents

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