Multi-label classification using a fuzzy rough neighborhood consensus

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Information Sciences

• Publication date

  2018-04-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.ins.2017.12.034
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Neighbor selection for multilabel classification

  2016cited by this paper
• Multilabel Classification

  2016cited by this paper
• Effective lazy learning algorithm based on a data gravitation model for multi-label learning

  2016influential reference
• Fuzzy Multi-Instance Classifiers

  2016cited by this paper
• Labelling strategies for hierarchical multi-label classification techniques

  2016cited by this paper
• Fuzzy rough classifiers for class imbalanced multi-instance data

  2016cited by this paper
• Multi-Label Dictionary Learning for Image Annotation

  2016cited by this paper
• MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier

  2015cited by this paper
• Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey

  2015cited by this paper
• A multi-label classification based approach for sentiment classification

  2015cited by this paper
• Fuzzy rough and evolutionary approaches to instance selection

  2014cited by this paper
• A Framework to Generate Synthetic Multi-label Datasets

  2014cited by this paper
• A Review on Multi-Label Learning Algorithms

  2014cited by this paper
• An Improved Multi-label Classification Algorithm BRkNN

  2014cited by this paper
• Efficient classification of multi-labeled text streams by clashing

  2014cited by this paper
• Multi-Label Learning. A Review of the State of the Art and Ongoing Research

  2014cited by this paper
• Multi-Label Learning With Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction

  2014cited by this paper
• Multi-Label Learning With Fused Multimodal Bi-Relational Graph

  2014cited by this paper
• Multi-label classification by exploiting label correlations

  2014cited by this paper
• Fuzzy rough positive region based nearest neighbour classification

  2012cited by this paper
• A Ranking-based KNN Approach for Multi-Label Classification

  2012cited by this paper
• FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors

  2012cited by this paper
• On Robust Fuzzy Rough Set Models

  2012cited by this paper
• RW.KNN: a proposed random walk KNN algorithm for multi-label classification

  2011cited by this paper
• AN EMPIRICAL COMPARISON OF WEIGHTING FUNCTIONS FOR MULTI -LABEL DISTANCE - WEIGHTED K-NEAREST NEIGHBOUR METHOD

  2011cited by this paper
• A multilabel text classification algorithm for labeling risk factors in SEC form 10-K

  2011cited by this paper
• Shell-neighbor method and its application in missing data imputation

  2011cited by this paper
• A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule

  2011cited by this paper
• Fuzzy multi-label learning under veristic variables

  2010cited by this paper
• Ordered Weighted Average Based Fuzzy Rough Sets

  2010cited by this paper
• Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor

  2010cited by this paper
• Mr.KNN: soft relevance for multi-label classification

  2010cited by this paper
• Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels

  2010cited by this paper
• Attribute selection with fuzzy decision reducts

  2010cited by this paper
• Combining instance-based learning and logistic regression for multilabel classification

  2009cited by this paper
• An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification

  2009cited by this paper
• A Simple Instance-Based Approach to Multilabel Classification Using the Mallows Model

  2009cited by this paper
• Neighborhood classifiers

  2008cited by this paper
• Multi-instance multi-label learning

  2008cited by this paper
• Multilabel classification via calibrated label ranking

  2008cited by this paper
• Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies

  2008cited by this paper
• An Empirical Study of Lazy Multilabel Classification Algorithms

  2008cited by this paper
• ML-KNN: A lazy learning approach to multi-label learning

  2007cited by this paper
• Case-Based Multilabel Ranking

  2007cited by this paper
• Top 10 algorithms in data mining

  2007cited by this paper
• Correlated Label Propagation with Application to Multi-label Learning

  2006cited by this paper
• Discriminative Methods for Multi-labeled Classification

  2004cited by this paper
• Learning multi-label scene classification

  2004cited by this paper
• A comparative study of fuzzy rough sets

  2002cited by this paper
• When Is ''Nearest Neighbor'' Meaningful?

  1999cited by this paper
• Relational Interpretations of Neigborhood Operators and Rough Set Approximation Operators

  1998cited by this paper
• Fuzzy sets

  1996cited by this paper
• Rough sets

  1995cited by this paper
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS

  1990cited by this paper
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking

  1988cited by this paper
• A fuzzy K-nearest neighbor algorithm

  1985cited by this paper
• A Simple Sequentially Rejective Multiple Test Procedure

  1979cited by this paper
• Nearest neighbor pattern classification

  1967cited by this paper
• NON-NULL RANKING MODELS. I

  1957cited by this paper
• Individual Comparisons by Ranking Methods

  1945cited by this paper
• The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

  1937cited by this paper

• Three-way multi-label classification: A review, a framework, and new challenges

  2025cites this paper
• Extensive experimental comparison among multilabel methods focused on ranking performance

  2024cites this paper
• An oversampling algorithm of multi-label data based on cluster-specific samples and fuzzy rough set theory

  2024cites this paper
• A thorough experimental comparison of multilabel methods for classification performance

  2024cites this paper
• InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation

  2024cites this paper
• Matrix factorization algorithm for multi-label learning with missing labels based on fuzzy rough set

  2024cites this paper
• An Improved Multilabel k-Nearest Neighbor Algorithm Based on Value and Weight

  2023cites this paper
• Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process

  2023cites this paper
• ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule

  2023cites this paper
• Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial – Extended Abstract)

  2023cites this paper
• Valued outranking relation-based heterogeneous multi-decision multigranulation probabilistic rough set and its use in medical decision-making

  2023cites this paper
• Feature selection based on correlation label and B-R belief function (FSCLBF) in multi-label data

  2023cites this paper
• Multi-label learning of missing labels using label-specific features: an embedded packaging method

  2023cites this paper
• InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates

  2023cites this paper
• Uncertainty Characterizations, Typologies and Related Notions in Times of Change

  2022cites this paper
• Unified Graph-Based Missing Label Propagation Method for Multilabel Text Classification

  2022cites this paper
• An iterative recommendation model of supporting personalized learning based on schematic patterns mining from schema-enhanced contexts of problem-solving

  2022cites this paper
• A weighted ML-KNN based on discernibility of attributes to heterogeneous sample pairs

  2022cites this paper
• A Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm

  2022cites this paper
• Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities

  2022cites this paper
• High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set

  2022cites this paper
• Bankruptcy prediction using fuzzy convolutional neural networks

  2022cites this paper
• Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets

  2021cites this paper
• Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring

  2021cites this paper
• Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy

  2021cites this paper
• Interclass Interference Suppression in Multi-Class Problems

  2021cites this paper
• Fuzzy extensions of the dominance-based rough set approach

  2021cites this paper
• Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model

  2021cites this paper
• Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification

  2021cites this paper
• Applications of rough sets in big data analysis: An overview

  2021cites this paper
• Multi-label classification with weighted classifier selection and stacked ensemble

  2020cites this paper
• Attribute reduction for multi-label classification based on labels of positive region

  2020cites this paper
• Automated Detection of Multiple Lesions on Chest X-ray Images: Classification Using a Neural Network Technique with Association-Specific Contexts

  2020cites this paper
• fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets

  2020cites this paper
• Multilabel naïve Bayes classification considering label dependence

  2020cites this paper
• Multi-label Topic Classification of Patient Generated Content in a Breast-cancer Community Forum

  2020influential citation
• Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation

  2020cites this paper
• A dynamic approach for updating the lower approximation in adjustable multi-granulation rough sets

  2020cites this paper
• A generalized weighted distance k-Nearest Neighbor for multi-label problems

  2020cites this paper
• Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification

  2019cites this paper
• Improving multi-label classification with missing labels by learning label-specific features

  2019cites this paper
• Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems

  2019cites this paper
• Index System Reduction Method Based on the Index Similarity

  2019cites this paper
• Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators

  2019cites this paper
• A Multi-label Classification on Topics of Quranic Verses (English Translation) Using Backpropagation Neural Network with Stochastic Gradient Descent and Adam Optimizer

  2019cites this paper
• Multi-View Multi-Label Learning With View-Label-Specific Features

  2019cites this paper
• Wavelet Packet and Granular Computing With Application to Communication Emitter Recognition

  2019cites this paper
• Weight selection strategies for ordered weighted average based fuzzy rough sets

  2019cites this paper
• A three-way selective ensemble model for multi-label classification

  2018cites this paper
• Feature selection for multi-label learning based on kernelized fuzzy rough sets

  2018cites this paper
• Optimal granulation selection for multi-label data based on multi-granulation rough sets

  2018cites this paper
• Aberystwyth University Weight selection strategies for ordered weighted average based fuzzy rough sets

  2018cites this paper