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Eghbal G. Mansoori
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2020 – today
- 2024
- [j32]Mohsen Rahmanian
, Eghbal G. Mansoori
MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection. IEEE Access 12: 133617-133631 (2024) - [j31]Fatemeh Khalifeh
Efficient Top-k Keyword Search in Relational Databases Considering Integrated Candidate Network. IEEE Access 12: 173775-173791 (2024) - [j30]Hojjat Moayed, Eghbal G. Mansoori:
Deep and wide nonnegative matrix factorization with embedded regularization. Pattern Recognit. 153: 110530 (2024) - 2023
- [j29]Hojjat Moayed, Eghbal G. Mansoori:
Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection. Neural Process. Lett. 55(6): 7985-7997 (2023) - [j28]Hojjat Moayed, Eghbal G. Mansoori, Mohammad R. Moosavi:
An efficient pruning method for subgraph matching in large-scale graphs. J. Supercomput. 79(10): 10511-10532 (2023) - 2022
- [j27]Hojjat Moayed
Skipout: An Adaptive Layer-Level Regularization Framework for Deep Neural Networks. IEEE Access 10: 62391-62401 (2022) - [j26]Mohsen Rahmanian
Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative. Fuzzy Sets Syst. 438: 148-163 (2022) - [j25]Samad Zabihi
A compact deep architecture for real-time saliency prediction. Signal Process. Image Commun. 104: 116671 (2022) - 2021
- [j24]Betsabeh Tanoori, Mansoor Zolghadri Jahromi, Eghbal G. Mansoori:
Drug-target continuous binding affinity prediction using multiple sources of information. Expert Syst. Appl. 186: 115810 (2021) - [j23]Haleh Homayouni, Eghbal G. Mansoori:
Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines. Intell. Data Anal. 25(4): 847-862 (2021) - [j22]Betsabeh Tanoori
Binding affinity prediction for binary drug-target interactions using semi-supervised transfer learning. J. Comput. Aided Mol. Des. 35(8): 883-900 (2021) - [j21]Eghbal G. Mansoori
Extreme ensemble of extreme learning machines. Stat. Anal. Data Min. 14(2): 116-128 (2021) - 2020
- [j20]Samad Zabihi
Exploiting object features in deep gaze prediction models. J. Vis. Commun. Image Represent. 73: 102931 (2020)
2010 – 2019
- 2019
- [j19]Homeira Shahparast, Eghbal G. Mansoori:
Developing an online general type-2 fuzzy classifier using evolving type-1 rules. Int. J. Approx. Reason. 113: 336-353 (2019) - [j18]Samaneh Liaghat, Eghbal G. Mansoori:
Filter-based unsupervised feature selection using Hilbert-Schmidt independence criterion. Int. J. Mach. Learn. Cybern. 10(9): 2313-2328 (2019) - [j17]Elham Hoseini, Eghbal G. Mansoori
Unsupervised feature selection in linked biological data. Pattern Anal. Appl. 22(3): 999-1013 (2019) - [j16]Homeira Shahparast, Eghbal G. Mansoori
AFCGD: an adaptive fuzzy classifier based on gradient descent. Soft Comput. 23(12): 4557-4571 (2019) - 2018
- [j15]Masoud Saeed
A new slope one based recommendation algorithm using virtual predictive items. J. Intell. Inf. Syst. 50(3): 527-547 (2018) - [j14]Zeinab Dehghan
A new feature subset selection using bottom-up clustering. Pattern Anal. Appl. 21(1): 57-66 (2018) - 2017
- [j13]Homeira Shahparast, Eghbal G. Mansoori
FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data. Intell. Data Anal. 21(1): 63-75 (2017) - [j12]Haleh Homayouni, Eghbal G. Mansoori
A novel density-based ensemble learning algorithm with application to protein structural classification. Intell. Data Anal. 21(1): 167-179 (2017) - 2016
- [j11]Gholam-Hossein Jowkar, Eghbal G. Mansoori
Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification. Comput. Biol. Chem. 64: 263-270 (2016) - [j10]Eghbal G. Mansoori
On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data. Evol. Syst. 7(4): 255-265 (2016) - [j9]Samaneh Liaghat, Eghbal G. Mansoori:
Unsupervised selection of informative genes in microarray gene expression data. Int. J. Appl. Pattern Recognit. 3(4): 351-367 (2016) - [j8]Elham Hoseini, Eghbal G. Mansoori
Selecting discriminative features in social media data: An unsupervised approach. Neurocomputing 205: 463-471 (2016) - 2014
- [j7]Eghbal G. Mansoori
GACH: a grid-based algorithm for hierarchical clustering of high-dimensional data. Soft Comput. 18(5): 905-922 (2014) - 2013
- [j6]Eghbal G. Mansoori
Using Statistical Measures for Feature Ranking. Int. J. Pattern Recognit. Artif. Intell. 27(1) (2013) - 2011
- [j5]Eghbal G. Mansoori
FRBC: A Fuzzy Rule-Based Clustering Algorithm. IEEE Trans. Fuzzy Syst. 19(5): 960-971 (2011)
2000 – 2009
- 2008
- [j4]Eghbal G. Mansoori
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data. IEEE Trans. Fuzzy Syst. 16(4): 1061-1071 (2008) - 2007
- [j3]Eghbal G. Mansoori
A weighting function for improving fuzzy classification systems performance. Fuzzy Sets Syst. 158(5): 583-591 (2007) - [j2]Mansoor J. Zolghadri
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis. Inf. Sci. 177(11): 2296-2307 (2007) - 2006
- [j1]Eghbal G. Mansoori, Hassan J. Eghbali:
Heuristic edge detection using fuzzy rule-based classifier. J. Intell. Fuzzy Syst. 17(5): 457-469 (2006)
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