Heuristic edge detection using fuzzy rule-based classifier. - Eghbal G. Mansoori; Hassan J. Eghbali (J. Intell. Fuzzy Syst., 2006)

A weighting function for improving fuzzy classification systems performance. - Eghbal G. Mansoori; Mansoor J. Zolghadri; Seraj D. Katebi (Fuzzy Sets Syst., 2007)

Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis. - Mansoor J. Zolghadri; Eghbal G. Mansoori (Inf. Sci., 2007)

SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data. - Eghbal G. Mansoori; Mansoor J. Zolghadri; Seraj D. Katebi (IEEE Trans. Fuzzy Syst., 2008)

FRBC: A Fuzzy Rule-Based Clustering Algorithm. - Eghbal G. Mansoori (IEEE Trans. Fuzzy Syst., 2011)

Using Statistical Measures for Feature Ranking. - Eghbal G. Mansoori (Int. J. Pattern Recognit. Artif. Intell., 2013)

GACH: a grid-based algorithm for hierarchical clustering of high-dimensional data. - Eghbal G. Mansoori (Soft Comput., 2014)

Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification. - Gholam-Hossein Jowkar; Eghbal G. Mansoori (Comput. Biol. Chem., 2016)

On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data. - Eghbal G. Mansoori; Khadijeh S. Shafiee (Evol. Syst., 2016)

Unsupervised selection of informative genes in microarray gene expression data. - Samaneh Liaghat; Eghbal G. Mansoori (Int. J. Appl. Pattern Recognit., 2016)

Selecting discriminative features in social media data: An unsupervised approach. - Elham Hoseini; Eghbal G. Mansoori (Neurocomputing, 2016)

A novel density-based ensemble learning algorithm with application to protein structural classification. - Haleh Homayouni; Eghbal G. Mansoori (Intell. Data Anal., 2017)

FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data. - Homeira Shahparast; Eghbal G. Mansoori (Intell. Data Anal., 2017)

A new slope one based recommendation algorithm using virtual predictive items. - Masoud Saeed; Eghbal G. Mansoori (J. Intell. Inf. Syst., 2018)

A new feature subset selection using bottom-up clustering. - Zeinab Dehghan; Eghbal G. Mansoori (Pattern Anal. Appl., 2018)

Developing an online general type-2 fuzzy classifier using evolving type-1 rules. - Homeira Shahparast; Eghbal G. Mansoori (Int. J. Approx. Reason., 2019)

Filter-based unsupervised feature selection using Hilbert-Schmidt independence criterion. - Samaneh Liaghat; Eghbal G. Mansoori (Int. J. Mach. Learn. Cybern., 2019)

Unsupervised feature selection in linked biological data. - Elham Hoseini; Eghbal G. Mansoori (Pattern Anal. Appl., 2019)

AFCGD: an adaptive fuzzy classifier based on gradient descent. - Homeira Shahparast; Eghbal G. Mansoori; Mansoor Zolghadri Jahromi (Soft Comput., 2019)

Exploiting object features in deep gaze prediction models. - Samad Zabihi; Eghbal G. Mansoori; Mehran Yazdi (J. Vis. Commun. Image Represent., 2020)

Drug-target continuous binding affinity prediction using multiple sources of information. - Betsabeh Tanoori; Mansoor Zolghadri Jahromi; Eghbal G. Mansoori (Expert Syst. Appl., 2021)

Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines. - Haleh Homayouni; Eghbal G. Mansoori (Intell. Data Anal., 2021)

Binding affinity prediction for binary drug-target interactions using semi-supervised transfer learning. - Betsabeh Tanoori; Mansoor Zolghadri Jahromi; Eghbal G. Mansoori (J. Comput. Aided Mol. Des., 2021)

Extreme ensemble of extreme learning machines. - Eghbal G. Mansoori; Massar Sara (Stat. Anal. Data Min., 2021)

Skipout: An Adaptive Layer-Level Regularization Framework for Deep Neural Networks. - Hojjat Moayed; Eghbal G. Mansoori (IEEE Access, 2022)

Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative. - Mohsen Rahmanian; Eghbal G. Mansoori (Fuzzy Sets Syst., 2022)

A compact deep architecture for real-time saliency prediction. - Samad Zabihi; Hamed R. Tavakoli; Ali Borji; Eghbal G. Mansoori (Signal Process. Image Commun., 2022)

An efficient pruning method for subgraph matching in large-scale graphs. - Hojjat Moayed; Eghbal G. Mansoori; Mohammad R. Moosavi (J. Supercomput., 2023)

Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection. - Hojjat Moayed; Eghbal G. Mansoori (Neural Process. Lett., 2023)

Efficient Top-k Keyword Search in Relational Databases Considering Integrated Candidate Network. - Fatemeh Khalifeh; Mohammad Taheri; Seyed Mostafa Fakhrahmad; Eghbal G. Mansoori (IEEE Access, 2024)

MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection. - Mohsen Rahmanian; Eghbal G. Mansoori (IEEE Access, 2024)

Deep and wide nonnegative matrix factorization with embedded regularization. - Hojjat Moayed; Eghbal G. Mansoori (Pattern Recognit., 2024)

Enhancing Keyword Search in Relational Databases With Word Embeddings. - Fatemeh Khalifeh; Mohammad Taheri; Eghbal G. Mansoori; Seyed Mostafa Fakhrahmad (IEEE Access, 2025)

Improvement of AMPs Identification with Generative Adversarial Network and Ensemble Classification. - Reyhaneh Keshavarzpour; Eghbal G. Mansoori (CoRR, 2025)