Yahya Forghani

According to our database1, Yahya Forghani authored at least 15 papers between 2012 and 2019.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2019
Weighted Version of Extended Nearest Neighbors.
Neural Processing Letters, 2019

A fast algorithm for local feature selection in data classification.
Expert Systems, 2019

2018
Comment on "Enhanced soft subspace clustering integrating within-cluster and between-cluster information" by Z. Deng et al. (Pattern Recognition, vol. 43 pp. 767-781, 2010)
Pattern Recognition, 2018

Comment on "Joint sparse principal component analysis" by S. Yi et al. (Pattern Recognition, vol. 61 pp. 524-536, 2017).
Pattern Recognition, 2018

Increasing the speed of fuzzy k-nearest neighbours algorithm.
Expert Systems, 2018

A geodesic distance-based approach for shape-independent data clustering using coalitional game.
Expert Systems, 2018

Protein-Protein Interaction Networks Alignment using Mathematical Model Approximation.
Proceedings of the 9th International Symposium on Telecommunications, 2018

2017
Comment on "DSKmeans: A new kmeans-type approach to discriminative subspace clustering" by X. Huang et al. [Knowledge-Based Systems, Vol. 70 pp. 293-300, 2014].
Knowl.-Based Syst., 2017

2015
Fuzzy Min-Max Neural Network for Learning a Classifier with Symmetric Margin.
Neural Processing Letters, 2015

Robust Support Vector Machines with Low Test Time.
Computational Intelligence, 2015

2014
Robust support vector machine-trained fuzzy system.
Neural Networks, 2014

2013
Comment on "Robustness and regularization of support vector machines" by H. Xu et al. (Journal of machine learning research, volume 10, pp 1485-1510, 2009).
J. Mach. Learn. Res., 2013

Classification of fuzzy data based on the support vector machines.
Expert Systems, 2013

2012
An extension to fuzzy support vector data description (FSVDD*).
Pattern Anal. Appl., 2012

Comment on "Support vector machine for classification based on fuzzy training data" by A.-B. Ji, J.-H. Pang, H.-J. Qiu [Expert Systems with Applications 37 (2010) 3495-3498].
Expert Syst. Appl., 2012


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