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MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection

IEEE access, 2024, Vol.12, p.133617-133631

2024

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Skipout: An Adaptive Layer-Level Regularization Framework for Deep Neural Networks

IEEE access, 2022, Vol.10, p.62391-62401

2022

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Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection

Neural processing letters, 2023-12, Vol.55 (6), p.7985-7997

2023

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Drug-target continuous binding affinity prediction using multiple sources of information

Expert systems with applications, 2021-12, Vol.186, p.115810, Article 115810

2021

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FRBC: A Fuzzy Rule-Based Clustering Algorithm

IEEE transactions on fuzzy systems, 2011-10, Vol.19 (5), p.960-971

Mansoori, E. G.

2011

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Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

Journal of computer-aided molecular design, 2021-08, Vol.35 (8), p.883-900

2021

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An efficient pruning method for subgraph matching in large-scale graphs

The Journal of supercomputing, 2023-07, Vol.79 (10), p.10511-10532

2023

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Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines

Intelligent data analysis, 2021-01, Vol.25 (4), p.847-862

2021

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Extreme ensemble of extreme learning machines

Statistical analysis and data mining, 2021-04, Vol.14 (2), p.116-128

2021

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Filter-based unsupervised feature selection using Hilbert–Schmidt independence criterion

International journal of machine learning and cybernetics, 2019-09, Vol.10 (9), p.2313-2328

2019

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Selecting discriminative features in social media data: An unsupervised approach

Neurocomputing (Amsterdam), 2016-09, Vol.205, p.463-471

2016

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Unsupervised feature selection in linked biological data

Pattern analysis and applications : PAA, 2019-08, Vol.22 (3), p.999-1013

2019

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A new slope one based recommendation algorithm using virtual predictive items

Journal of intelligent information systems, 2018-06, Vol.50 (3), p.527-547

2018

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AFCGD: an adaptive fuzzy classifier based on gradient descent

Soft computing (Berlin, Germany), 2019-06, Vol.23 (12), p.4557-4571

2019

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A new feature subset selection using bottom-up clustering

Pattern analysis and applications : PAA, 2018-02, Vol.21 (1), p.57-66

2018

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GACH: a grid-based algorithm for hierarchical clustering of high-dimensional data

Soft computing (Berlin, Germany), 2014-05, Vol.18 (5), p.905-922

Mansoori, Eghbal G.

2014

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Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification

Computational biology and chemistry, 2016-10, Vol.64, p.263-270

2016

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A novel density-based ensemble learning algorithm with application to protein structural classification

Intelligent data analysis, 2017-01, Vol.21 (1), p.167-179

2017

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FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data

Intelligent data analysis, 2017-01, Vol.21 (1), p.63-75

2017

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USING STATISTICAL MEASURES FOR FEATURE RANKING

International journal of pattern recognition and artificial intelligence, 2013-02, Vol.27 (1), p.1350003

MANSOORI, EGHBAL G.

2013

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Deep and wide nonnegative matrix factorization with embedded regularization

Pattern recognition, 2024-09, Vol.153, p.110530, Article 110530

2024

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A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM

Iranian journal of fuzzy systems (Online), 2017-10, Vol.14 (5), p.1

2017

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An unsupervised gene selection method based on multivariate normalized mutual information of genes

Chemometrics and intelligent laboratory systems, 2022-03, Vol.222, p.104512, Article 104512

2022

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On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data

Evolving systems, 2016-12, Vol.7 (4), p.255-265

2016

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Unsupervised selection of informative genes in microarray gene expression data

International Journal of Applied Pattern Recognition, 2016, Vol.3 (4), p.351

2016

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MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection

Skipout: An Adaptive Layer-Level Regularization Framework for Deep Neural Networks

Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection

Drug-target continuous binding affinity prediction using multiple sources of information

FRBC: A Fuzzy Rule-Based Clustering Algorithm

Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

An efficient pruning method for subgraph matching in large-scale graphs

Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines

Extreme ensemble of extreme learning machines

Filter-based unsupervised feature selection using Hilbert–Schmidt independence criterion

Selecting discriminative features in social media data: An unsupervised approach

Unsupervised feature selection in linked biological data

A new slope one based recommendation algorithm using virtual predictive items

AFCGD: an adaptive fuzzy classifier based on gradient descent

A new feature subset selection using bottom-up clustering

GACH: a grid-based algorithm for hierarchical clustering of high-dimensional data

Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification

A novel density-based ensemble learning algorithm with application to protein structural classification

FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data

USING STATISTICAL MEASURES FOR FEATURE RANKING

Deep and wide nonnegative matrix factorization with embedded regularization

A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM

An unsupervised gene selection method based on multivariate normalized mutual information of genes

On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data

Unsupervised selection of informative genes in microarray gene expression data

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