Eghbal G. Mansoori

Orcid: 0000-0002-8207-5916

According to our database1, Eghbal G. Mansoori authored at least 29 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection.
Neural Process. Lett., December, 2023

An efficient pruning method for subgraph matching in large-scale graphs.
J. Supercomput., July, 2023

2022
A compact deep architecture for real-time saliency prediction.
Signal Process. Image Commun., 2022

Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative.
Fuzzy Sets Syst., 2022

Skipout: An Adaptive Layer-Level Regularization Framework for Deep Neural Networks.
IEEE Access, 2022

2021
Extreme ensemble of extreme learning machines.
Stat. Anal. Data Min., 2021

Binding affinity prediction for binary drug-target interactions using semi-supervised transfer learning.
J. Comput. Aided Mol. Des., 2021

Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines.
Intell. Data Anal., 2021

Drug-target continuous binding affinity prediction using multiple sources of information.
Expert Syst. Appl., 2021

2020
Exploiting object features in deep gaze prediction models.
J. Vis. Commun. Image Represent., 2020

2019
AFCGD: an adaptive fuzzy classifier based on gradient descent.
Soft Comput., 2019

Unsupervised feature selection in linked biological data.
Pattern Anal. Appl., 2019

Filter-based unsupervised feature selection using Hilbert-Schmidt independence criterion.
Int. J. Mach. Learn. Cybern., 2019

Developing an online general type-2 fuzzy classifier using evolving type-1 rules.
Int. J. Approx. Reason., 2019

2018
A new feature subset selection using bottom-up clustering.
Pattern Anal. Appl., 2018

A new slope one based recommendation algorithm using virtual predictive items.
J. Intell. Inf. Syst., 2018

2017
FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data.
Intell. Data Anal., 2017

A novel density-based ensemble learning algorithm with application to protein structural classification.
Intell. Data Anal., 2017

2016
Selecting discriminative features in social media data: An unsupervised approach.
Neurocomputing, 2016

Unsupervised selection of informative genes in microarray gene expression data.
Int. J. Appl. Pattern Recognit., 2016

On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data.
Evol. Syst., 2016

Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification.
Comput. Biol. Chem., 2016

2014
GACH: a grid-based algorithm for hierarchical clustering of high-dimensional data.
Soft Comput., 2014

2013
Using Statistical Measures for Feature Ranking.
Int. J. Pattern Recognit. Artif. Intell., 2013

2011
FRBC: A Fuzzy Rule-Based Clustering Algorithm.
IEEE Trans. Fuzzy Syst., 2011

2008
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data.
IEEE Trans. Fuzzy Syst., 2008

2007
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis.
Inf. Sci., 2007

A weighting function for improving fuzzy classification systems performance.
Fuzzy Sets Syst., 2007

2006
Heuristic edge detection using fuzzy rule-based classifier.
J. Intell. Fuzzy Syst., 2006


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