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scMEB: a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data

BMC genomics, 2023-05, Vol.24 (1), p.280-280, Article 280

2023

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Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood

Axioms, 2023-04, Vol.12 (5), p.425

2023

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Assessing immune hepatotoxicity of troglitazone with a versatile liver-immune-microphysiological-system

Frontiers in pharmacology, 2024-05, Vol.15, p.1335836

2024

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A simple multi-constraint fusion based semi-supervised non-negative matrix decomposition for image clustering

Neurocomputing (Amsterdam), 2024-12, Vol.609, p.128432, Article 128432

2024

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A probabilistic linguistic opinion dynamics method based on the DeGroot model for emergency decision-making in response to COVID-19

Computers & industrial engineering, 2022-11, Vol.173, p.108677-108677, Article 108677

2022

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An extended VIKOR method based on particle swarm optimization and novel operations of probabilistic linguistic term sets for multicriteria group decision‐making problem

International journal of intelligent systems, 2022-08, Vol.37 (8), p.5381-5424

2022

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Subsampled support vector regression ensemble for short term electric load forecasting

Energy (Oxford), 2018-12, Vol.164, p.160-170

2018

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Relative density-based clustering algorithm for identifying diverse density clusters effectively

Neural computing & applications, 2021-08, Vol.33 (16), p.10141-10157

2021

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Imputation for Single-cell RNA-seq Data with Non-negative Matrix Factorization and Transfer Learning

Journal of bioinformatics and computational biology, 2023-12, Vol.21 (6)

2023

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VE dimension induced by Bayesian networks over the boolean domain

Pattern analysis and applications : PAA, 2014-11, Vol.17 (4), p.799-807

2014

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Complexity of concept classes induced by discrete Markov networks and Bayesian networks

Pattern recognition, 2018-10, Vol.82, p.31-37

2018

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Sequential grid approach based support vector regression for short-term electric load forecasting

Applied energy, 2019-03, Vol.238, p.1010-1021

2019

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Underestimation modification for intrinsic dimension estimation

Pattern recognition, 2023-08, Vol.140, p.109580, Article 109580

2023

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A novel similarity-based consensus model for probabilistic linguistic sets and its application in multi-attribute large-scale group decision making

Computational & applied mathematics, 2022-04, Vol.41 (3), Article 97

2022

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Label Embedding for Multi-label Classification Via Dependence Maximization

Neural processing letters, 2020-10, Vol.52 (2), p.1651-1674

2020

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Quantum kernel logistic regression based Newton method

Physica A, 2023-02, Vol.611, p.128454, Article 128454

2023

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One-step multi-view subspace clustering with incomplete views

Neurocomputing (Amsterdam), 2021-05, Vol.438, p.290-301

2021

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Decision function with probability feature weighting based on Bayesian network for multi-label classification

Neural computing & applications, 2019-09, Vol.31 (9), p.4819-4828

2019

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Managing multi-granular probabilistic linguistic information in large-scale group decision making: A personalized individual semantics-based consensus model

Expert systems with applications, 2023-11, Vol.230, p.120645, Article 120645

2023

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Intrinsic dimension estimation based on local adjacency information

Information sciences, 2021-05, Vol.558, p.21-33

2021

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Locality sensitive hashing scheme based on online-learning

Journal of visual communication and image representation, 2024-02, Vol.98, p.104036, Article 104036

2024

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Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning

Knowledge-based systems, 2018-10, Vol.158, p.154-174

2018

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Integrated self-supervised label propagation for label imbalanced sets

Applied intelligence (Dordrecht, Netherlands), 2024-09, Vol.54 (17-18), p.8525-8544

2024

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Quantum algorithm for twin extreme learning machine

Physica scripta, 2023-08, Vol.98 (8), p.85110

2023

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Maximum relevance minimum common redundancy feature selection for nonlinear data

Information sciences, 2017-10, Vol.409-410, p.68-86

2017

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scMEB: a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data

Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood

Assessing immune hepatotoxicity of troglitazone with a versatile liver-immune-microphysiological-system

A simple multi-constraint fusion based semi-supervised non-negative matrix decomposition for image clustering

A probabilistic linguistic opinion dynamics method based on the DeGroot model for emergency decision-making in response to COVID-19

An extended VIKOR method based on particle swarm optimization and novel operations of probabilistic linguistic term sets for multicriteria group decision‐making problem

Subsampled support vector regression ensemble for short term electric load forecasting

Relative density-based clustering algorithm for identifying diverse density clusters effectively

Imputation for Single-cell RNA-seq Data with Non-negative Matrix Factorization and Transfer Learning

VE dimension induced by Bayesian networks over the boolean domain

Complexity of concept classes induced by discrete Markov networks and Bayesian networks

Sequential grid approach based support vector regression for short-term electric load forecasting

Underestimation modification for intrinsic dimension estimation

A novel similarity-based consensus model for probabilistic linguistic sets and its application in multi-attribute large-scale group decision making

Label Embedding for Multi-label Classification Via Dependence Maximization

Quantum kernel logistic regression based Newton method

One-step multi-view subspace clustering with incomplete views

Decision function with probability feature weighting based on Bayesian network for multi-label classification

Managing multi-granular probabilistic linguistic information in large-scale group decision making: A personalized individual semantics-based consensus model

Intrinsic dimension estimation based on local adjacency information

Locality sensitive hashing scheme based on online-learning

Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning

Integrated self-supervised label propagation for label imbalanced sets

Quantum algorithm for twin extreme learning machine

Maximum relevance minimum common redundancy feature selection for nonlinear data

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