Eghbal G. Mansoori

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Int. J. Parallel Emergent Distributed Syst., January, 2026

FCMagnet: A Fully Complex-Valued Magnetic Graph Convolutional Neural Network for Emotion Recognition Using Brain Effective Connectivity.

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[DOI]

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,

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IEEE Access, 2026

Total Correlation Information as a Sensitive Measure for Detecting Over-Smoothing in Graph Neural Networks.

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Amirahmad Nayyeri

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IEEE Access, 2026

Improvement of AMPs Identification with Generative Adversarial Network and Ensemble Classification.

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[DOI]

Reyhaneh Keshavarzpour

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CoRR, June, 2025

Enhancing Keyword Search in Relational Databases With Word Embeddings.

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[DOI]

Fatemeh Khalifeh

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Seyed Mostafa Fakhrahmad

IEEE Access, 2025

Deep and wide nonnegative matrix factorization with embedded regularization.

[BibT_eX]

[DOI]

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Pattern Recognit., 2024

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

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Mohsen Rahmanian

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IEEE Access, 2024

Efficient Top-k Keyword Search in Relational Databases Considering Integrated Candidate Network.

[BibT_eX]

[DOI]

Fatemeh Khalifeh

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Seyed Mostafa Fakhrahmad

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IEEE Access, 2024

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

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[DOI]

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Neural Process. Lett., December, 2023

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

[BibT_eX]

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Mohammad R. Moosavi

J. Supercomput., July, 2023

A compact deep architecture for real-time saliency prediction.

[BibT_eX]

[DOI]

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,

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Signal Process. Image Commun., 2022

Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative.

[BibT_eX]

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Mohsen Rahmanian

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Fuzzy Sets Syst., 2022

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

[BibT_eX]

[DOI]

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IEEE Access, 2022

Extreme ensemble of extreme learning machines.

[BibT_eX]

[DOI]

Mansoor Zolghadri Jahromi

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Massar Sara

Stat. Anal. Data Min., 2021

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

[BibT_eX]

[DOI]

Betsabeh Tanoori

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J. Comput. Aided Mol. Des., 2021

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

[BibT_eX]

[DOI]

Haleh Homayouni

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Mansoor Zolghadri Jahromi

Intell. Data Anal., 2021

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

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[DOI]

Betsabeh Tanoori

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Expert Syst. Appl., 2021

Exploiting object features in deep gaze prediction models.

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[DOI]

Samad Zabihi

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Mehran Yazdi

J. Vis. Commun. Image Represent., 2020

AFCGD: an adaptive fuzzy classifier based on gradient descent.

[BibT_eX]

[DOI]

Homeira Shahparast

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Mansoor Zolghadri Jahromi

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Soft Comput., 2019

Unsupervised feature selection in linked biological data.

[BibT_eX]

[DOI]

Elham Hoseini

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Pattern Anal. Appl., 2019

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

[BibT_eX]

[DOI]

Samaneh Liaghat

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Int. J. Mach. Learn. Cybern., 2019

Developing an online general type-2 fuzzy classifier using evolving type-1 rules.

[BibT_eX]

[DOI]

Homeira Shahparast

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Int. J. Approx. Reason., 2019

A new feature subset selection using bottom-up clustering.

[BibT_eX]

[DOI]

Zeinab Dehghan

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Pattern Anal. Appl., 2018

A new slope one based recommendation algorithm using virtual predictive items.

[BibT_eX]

[DOI]

Masoud Saeed

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J. Intell. Inf. Syst., 2018

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

[BibT_eX]

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Homeira Shahparast

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Intell. Data Anal., 2017

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

[BibT_eX]

[DOI]

Haleh Homayouni

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Intell. Data Anal., 2017

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

[BibT_eX]

[DOI]

Elham Hoseini

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Neurocomputing, 2016

Unsupervised selection of informative genes in microarray gene expression data.

[BibT_eX]

[DOI]

Samaneh Liaghat

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Int. J. Appl. Pattern Recognit., 2016

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

[BibT_eX]

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Khadijeh S. Shafiee

Evol. Syst., 2016

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

[BibT_eX]

[DOI]

Gholam-Hossein Jowkar

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Comput. Biol. Chem., 2016

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

[BibT_eX]

[DOI]

Soft Comput., 2014

Using Statistical Measures for Feature Ranking.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2013

FRBC: A Fuzzy Rule-Based Clustering Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2011

SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data.

[BibT_eX]

[DOI]

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Mansoor J. Zolghadri

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Seraj D. Katebi

IEEE Trans. Fuzzy Syst., 2008

Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis.

[BibT_eX]

[DOI]

Mansoor J. Zolghadri

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Inf. Sci., 2007

A weighting function for improving fuzzy classification systems performance.

[BibT_eX]

[DOI]

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Mansoor J. Zolghadri

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Seraj D. Katebi

Fuzzy Sets Syst., 2007

Heuristic edge detection using fuzzy rule-based classifier.

[BibT_eX]

[DOI]