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Molecular Mechanisms Controlling the Disease Cycle in the Vascular Pathogen Verticillium dahliae Characterized Through Forward Genetics and Transcriptomics

Molecular plant-microbe interactions, 2020-06, Vol.33 (6), p.825-841

2020

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The APSES transcription factor Vst1 is a key regulator of development in microsclerotium‐ and resting mycelium‐producing Verticillium species

Molecular plant pathology, 2018-01, Vol.19 (1), p.59-76

2018

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ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule

Mathematics (Basel), 2023-01, Vol.11 (2), p.275

2023

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Characterization of a new partitivirus strain in Verticillium dahliae provides further evidence of the spread of the highly virulent defoliating pathotype through new introductions

Phytopathologia mediterranea, 2015-12, Vol.54 (3), p.516-523

2015

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A thorough experimental comparison of multilabel methods for classification performance

Pattern recognition, 2024-07, Vol.151, Article 110342

2024

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Graph-Based Feature Selection Approach for Molecular Activity Prediction

Journal of chemical information and modeling, 2022-04, Vol.62 (7), p.1618-1632

2022

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Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction

Journal of chemical information and modeling, 2021-01, Vol.61 (1), p.76-94

2021

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Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I

2010 edition, 2010

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Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III

2010 edition., 2010

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Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II

2010 edition., 2010

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Nonlinear physics opens a new paradigm for accurate transcription start site prediction

BMC bioinformatics, 2022-12, Vol.23 (1), p.565-565, Article 565

2022

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An empirical study of binary classifier fusion methods for multiclass classification

Information fusion, 2011-04, Vol.12 (2), p.111-130

2011

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Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts

Artificial intelligence, 2010-04, Vol.174 (5), p.410-441

2010

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Multilabel and Missing Label Methods for Binary Quantitative Structure–Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions

Journal of chemical information and modeling, 2019-10, Vol.59 (10), p.4120-4130

2019

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A cooperative coevolutionary algorithm for instance selection for instance-based learning

Machine learning, 2010-03, Vol.78 (3), p.381-420

2010

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Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems

Applied soft computing, 2024-07, Vol.159, Article 111618

2024

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Influence of feature rankers in the construction of molecular activity prediction models

Journal of computer-aided molecular design, 2020-03, Vol.34 (3), p.305-325

2020

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CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

The Journal of artificial intelligence research, 2005-01, Vol.24, p.1-48

2005

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Maximum common property: a new approach for molecular similarity

Journal of cheminformatics, 2020-10, Vol.12 (1), p.61-61, Article 61

2020

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A cooperative constructive method for neural networks for pattern recognition

Pattern recognition, 2007, Vol.40 (1), p.80-98

2007

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Evolutionary computation for training set selection

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2011-11, Vol.1 (6), p.512-523

García-Pedrajas, Nicolás

2011

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SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features

Pattern recognition, 2021-03, Vol.111, p.107723, Article 107723

2021

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Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study

Information sciences, 2020-11, Vol.540, p.89-116

2020

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Instance selection based on boosting for instance-based learners

Pattern recognition, 2019-12, Vol.96, p.106959, Article 106959

2019

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Cooperative coevolutionary instance selection for multilabel problems

Knowledge-based systems, 2021-12, Vol.234, p.107569, Article 107569

2021

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Molecular Mechanisms Controlling the Disease Cycle in the Vascular Pathogen Verticillium dahliae Characterized Through Forward Genetics and Transcriptomics

The APSES transcription factor Vst1 is a key regulator of development in microsclerotium‐ and resting mycelium‐producing Verticillium species

ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule

Characterization of a new partitivirus strain in Verticillium dahliae provides further evidence of the spread of the highly virulent defoliating pathotype through new introductions

A thorough experimental comparison of multilabel methods for classification performance

Graph-Based Feature Selection Approach for Molecular Activity Prediction

Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction

Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I

Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III

Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II

Nonlinear physics opens a new paradigm for accurate transcription start site prediction

An empirical study of binary classifier fusion methods for multiclass classification

Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts

Multilabel and Missing Label Methods for Binary Quantitative Structure–Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions

A cooperative coevolutionary algorithm for instance selection for instance-based learning

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems

Influence of feature rankers in the construction of molecular activity prediction models

CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

Maximum common property: a new approach for molecular similarity

A cooperative constructive method for neural networks for pattern recognition

Evolutionary computation for training set selection

SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features

Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study

Instance selection based on boosting for instance-based learners

Cooperative coevolutionary instance selection for multilabel problems

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