Yahya Forghani

Orcid: 0000-0002-3218-5666

According to our database1, Yahya Forghani authored at least 34 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Enhancing CNN-LSTM neural networks using jellyfish search algorithm for pandemic modeling.
Concurr. Comput. Pract. Exp., August, 2024

On optimizing the charging trajectory of mobile chargers in wireless sensor networks: a deep reinforcement learning approach.
Wirel. Networks, January, 2024

2023
Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems.
Knowl. Based Syst., 2023

2022
Improved cost-sensitive representation of data for solving the imbalanced big data classification problem.
J. Big Data, 2022

Balanced hierarchical max margin matrix factorization for recommendation system.
Expert Syst. J. Knowl. Eng., 2022

2021
An initialization method to improve the training time of matrix factorization algorithm for fast recommendation.
Soft Comput., 2021

Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification.
J. Big Data, 2021

2020
A novel heuristic algorithm to solve penalized regression-based clustering model.
Soft Comput., 2020

Improving Multi-class Co-Clustering-Based Collaborative Recommendation Using Item Tags.
Rev. d'Intelligence Artif., 2020

Improvements on Learning Kernel Extended Dictionary for Face Recognition.
Rev. d'Intelligence Artif., 2020

Piece-wise max-margin-based discriminative feature learning.
J. Exp. Theor. Artif. Intell., 2020

Improving the Speed of Support Vector Regression Using Regularized Least Square Regression.
Ingénierie des Systèmes d Inf., 2020

A recursive algorithm to increase the speed of regression-based binary recommendation systems.
Inf. Sci., 2020

An efficient storage-optimizing tick data clustering model.
Turkish J. Electr. Eng. Comput. Sci., 2020

2019
Weighted Version of Extended Nearest Neighbors.
Neural Process. Lett., 2019

TWSVC+: Improved Twin Support Vector Machine-Based Clustering.
Ingénierie des Systèmes d Inf., 2019

Improving the Accuracy of M-distance Based Nearest Neighbor Recommendation System by Using Ratings Variance.
Ingénierie des Systèmes d Inf., 2019

A fast algorithm for local feature selection in data classification.
Expert Syst. J. Knowl. Eng., 2019

Alternating optimization to solve penalized regression-based clustering model.
Expert Syst. J. Knowl. Eng., 2019

Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement.
CoRR, 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 Recognit., 2018

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

Increasing the speed of fuzzy k-nearest neighbours algorithm.
Expert Syst. J. Knowl. Eng., 2018

A geodesic distance-based approach for shape-independent data clustering using coalitional game.
Expert Syst. J. Knowl. Eng., 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 Process. Lett., 2015

Robust Support Vector Machines with Low Test Time.
Comput. Intell., 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 Syst. J. Knowl. Eng., 2013

Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10 pp. 1485-1510, 2009, arXiv: 0803.3490.
CoRR, 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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