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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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Predicting glass transition temperatures using neural networks

Acta materialia, 2018-10, Vol.159, p.249-256

2018

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Noise detection in the meta-learning level

Neurocomputing (Amsterdam), 2016-02, Vol.176, p.14-25

2016

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An adaptive approach for UAV-based pesticide spraying in dynamic environments

Computers and electronics in agriculture, 2017-06, Vol.138, p.210-223

2017

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Effect of label noise in the complexity of classification problems

Neurocomputing (Amsterdam), 2015-07, Vol.160, p.108-119

2015

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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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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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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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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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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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Corrigendum to “BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning” [Comput Struct Biotechnol J, vol. 23, pp 2267-2276]

Computational and structural biotechnology journal, 2024-12, Vol.23, p.3019-3019

2024

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Performance evaluation of outlier rules for labelling outliers in multidimensional dataset

International journal of business intelligence and data mining, 2021, Vol.19 (2), p.135

2021

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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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Building binary-tree-based multiclass classifiers using separability measures

Neurocomputing (Amsterdam), 2010-10, Vol.73 (16), p.2837-2845

2010

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Wine classification by taste sensors made from ultra-thin films and using neural networks

Sensors and actuators. B, Chemical, 2004-03, Vol.98 (1), p.77-82

2004

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Investigation of a new GRASP-based clustering algorithm applied to biological data

Computers & operations research, 2010-08, Vol.37 (8), p.1381-1388

2010

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Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering

Information sciences, 2018-01, Vol.423, p.128-144

2018

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A non-negative matrix factorization approach to update communities in temporal networks using node features

2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019, p.728-732

2019

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Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks

Computational Science – ICCS 2019, p.340-353

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A new data characterization for selecting clustering algorithms using meta-learning

Information sciences, 2019-03, Vol.477, p.203-219

2019

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A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

Information sciences, 2019-10, Vol.501, p.193-221

2019

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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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Intelligent-guided adaptive search for the maximum covering location problem

Computers & operations research, 2017-02, Vol.78, p.129-137

2017

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Machine learning unveils composition-property relationships in chalcogenide glasses

Acta materialia, 2022-11, Vol.240, p.118302, Article 118302

2022

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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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Spectral methods for graph clustering – A survey

Predicting glass transition temperatures using neural networks

Noise detection in the meta-learning level

An adaptive approach for UAV-based pesticide spraying in dynamic environments

Effect of label noise in the complexity of classification problems

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

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

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

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

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

Corrigendum to “BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning” [Comput Struct Biotechnol J, vol. 23, pp 2267-2276]

Performance evaluation of outlier rules for labelling outliers in multidimensional dataset

Reconstructing commuters network using machine learning and urban indicators

Building binary-tree-based multiclass classifiers using separability measures

Wine classification by taste sensors made from ultra-thin films and using neural networks

Investigation of a new GRASP-based clustering algorithm applied to biological data

Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering

A non-negative matrix factorization approach to update communities in temporal networks using node features

Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks

A new data characterization for selecting clustering algorithms using meta-learning

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

Data stream clustering: A survey

Intelligent-guided adaptive search for the maximum covering location problem

Machine learning unveils composition-property relationships in chalcogenide glasses

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

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