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An approach to parameters estimation of a chromatography model using a clustering genetic algorithm based inverse model

Soft computing (Berlin, Germany), 2011-05, Vol.15 (5), p.963-973

2011

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Finding Fuzzy Identification System Parameters Using A New Dynamic Migration Period-Based Distributed Genetic Algorithm

Dyna (Medellín, Colombia), 2009-01, Vol.76 (159), p.77-83

2009

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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

The Journal of artificial intelligence research, 2018-04, Vol.61, p.863-905

2018

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Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Information sciences, 2010-05, Vol.180 (10), p.2044-2064

2010

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An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

Pattern recognition, 2011-08, Vol.44 (8), p.1761-1776

2011

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EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

Pattern recognition, 2013-12, Vol.46 (12), p.3460-3471

2013

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An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

Information sciences, 2013-11, Vol.250, p.113-141

2013

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DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

Pattern recognition, 2015-01, Vol.48 (1), p.28-42

2015

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On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

Information sciences, 2014-02, Vol.257, p.1-13

2014

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Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies

IEEE transactions on fuzzy systems, 2015-10, Vol.23 (5), p.1562-1580

2015

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FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

Pattern recognition, 2022-04, Vol.124, p.108511, Article 108511

2022

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KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

International journal of computational intelligence systems, 2017, Vol.10 (1), p.1238-1249

2017

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Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson's disease: a feasibility study

Journal of neuroengineering and rehabilitation, 2019-11, Vol.16 (1), p.133-10, Article 133

2019

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On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

Expert systems with applications, 2015-01, Vol.42 (1), p.193-202

2015

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Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study

IEEE transactions on evolutionary computation, 2010-12, Vol.14 (6), p.913-941

2010

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ACE inhibitory, hypotensive and antioxidant peptide fractions from Mucuna pruriens proteins

Process biochemistry (1991), 2014-10, Vol.49 (10), p.1691-1698

2014

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A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Applied intelligence (Dordrecht, Netherlands), 2021-09, Vol.51 (9), p.6497-6527

2021

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Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

Information fusion, 2018-07, Vol.42, p.51-61

2018

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Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

Information sciences, 2016-08, Vol.354, p.178-196

2016

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Sustainable production of microalgae in raceways: Nutrients and water management as key factors influencing environmental impacts

Journal of cleaner production, 2021-03, Vol.287, p.125005, Article 125005

2021

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Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Proceedings of the Institution of Mechanical Engineers. Part L, Journal of materials, design and applications, 2024-02, Vol.238 (2), p.245-262

2024

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Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

Expert systems with applications, 2012-06, Vol.39 (7), p.6585-6608

2012

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Imbalance: Oversampling algorithms for imbalanced classification in R

Knowledge-based systems, 2018-12, Vol.161, p.329-341

2018

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Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Engineering applications of artificial intelligence, 2022-01, Vol.107, p.104511, Article 104511

2022

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Atrial myxoma surgery and P‐wave remodeling

Pacing and clinical electrophysiology, 2022-09, Vol.45 (9), p.1160-1164

2022

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An approach to parameters estimation of a chromatography model using a clustering genetic algorithm based inverse model

Finding Fuzzy Identification System Parameters Using A New Dynamic Migration Period-Based Distributed Genetic Algorithm

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies

FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson's disease: a feasibility study

On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study

ACE inhibitory, hypotensive and antioxidant peptide fractions from Mucuna pruriens proteins

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

Sustainable production of microalgae in raceways: Nutrients and water management as key factors influencing environmental impacts

Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy

Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

Imbalance: Oversampling algorithms for imbalanced classification in R

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Atrial myxoma surgery and P‐wave remodeling

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