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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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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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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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Novelty detection in data streams

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

2016

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

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

2020

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Continual Object Detection: A review of definitions, strategies, and challenges

Neural networks, 2023-04, Vol.161, p.476-493

2023

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Spectral methods for graph clustering – A survey

European journal of operational research, 2011-06, Vol.211 (2), p.221-231

2011

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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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Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

IEEE transactions on evolutionary computation, 2014-12, Vol.18 (6), p.873-892

2014

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Feature extraction approaches for biological sequences: a comparative study of mathematical features

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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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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BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification

RNA biology, 2024, Vol.21 (1), p.1-12

2024

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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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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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BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning

Computational and structural biotechnology journal, 2024-12, Vol.23, p.2267-2276

2024

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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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Data stream clustering: A survey

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

2013

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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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Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data

BMC bioinformatics, 2012-11, Vol.13 (1), p.310-310, Article 310

2012

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Protein cellular localization prediction with Support Vector Machines and Decision Trees

Computers in biology and medicine, 2007-02, Vol.37 (2), p.115-125

2007

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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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Reconstructing commuters network using machine learning and urban indicators

The discriminant power of RNA features for pre-miRNA recognition

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

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

Novelty detection in data streams

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

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

Continual Object Detection: A review of definitions, strategies, and challenges

Spectral methods for graph clustering – A survey

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

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Feature extraction approaches for biological sequences: a comparative study of mathematical features

A review on the combination of binary classifiers in multiclass problems

BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification

Forecasting financial market structure from network features using machine learning

Ensembles of label noise filters: a ranking approach

BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning

Evolutionary computing in recommender systems: a review of recent research

Data stream clustering: A survey

Enhancing multilabel classification for food truck recommendation

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data

Protein cellular localization prediction with Support Vector Machines and Decision Trees

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

Adaptive Positive Selection for Keystroke Dynamics

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