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]. - Yahya Forghani; Hadi Sadoghi Yazdi; Sohrab Effati (Expert Syst. Appl., 2012)

An extension to fuzzy support vector data description (FSVDD*). - Yahya Forghani; Hadi Sadoghi Yazdi; Sohrab Effati (Pattern Anal. Appl., 2012)

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. - Yahya Forghani; Hadi Sadoghi Yazdi (CoRR, 2013)

Classification of fuzzy data based on the support vector machines. - Yahya Forghani; Hadi Sadoghi Yazdi; Sohrab Effati (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, volume 10, pp 1485-1510, 2009). - Yahya Forghani; Hadi Sadoghi Yazdi (J. Mach. Learn. Res., 2013)

Robust support vector machine-trained fuzzy system. - Yahya Forghani; Hadi Sadoghi Yazdi (Neural Networks, 2014)

Robust Support Vector Machines with Low Test Time. - Yahya Forghani; Hadi Sadoghi Yazdi (Comput. Intell., 2015)

Fuzzy Min-Max Neural Network for Learning a Classifier with Symmetric Margin. - Yahya Forghani; Hadi Sadoghi Yazdi (Neural Process. Lett., 2015)

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]. - Yahya Forghani (Knowl. Based Syst., 2017)

Protein-Protein Interaction Networks Alignment using Mathematical Model Approximation. - Shady Tabasi Kakhki; Mahmoud Naghibzadeh; Yahya Forghani (IST, 2018)

A geodesic distance-based approach for shape-independent data clustering using coalitional game. - Behrouz Beik Khorasani; Mohammad Hossein Moattar; Yahya Forghani (Expert Syst. J. Knowl. Eng., 2018)

Increasing the speed of fuzzy k-nearest neighbours algorithm. - Hamed Nikdel; Yahya Forghani; S. Mohammad Hosein Moattar (Expert Syst. J. Knowl. Eng., 2018)

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

Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement. - Mostafa Razavi Ghods; Mohammad Hossein Moattar; Yahya Forghani (CoRR, 2019)

Alternating optimization to solve penalized regression-based clustering model. - Mohammad Barati; Mehrdad Jalali; Yahya Forghani (Expert Syst. J. Knowl. Eng., 2019)

A fast algorithm for local feature selection in data classification. - Fereshteh Sadat Hoseininejad; Yahya Forghani; Omid Ehsani (Expert Syst. J. Knowl. Eng., 2019)

Improving the Accuracy of M-distance Based Nearest Neighbor Recommendation System by Using Ratings Variance. - Narges Hasanzadeh; Yahya Forghani (Ingénierie des Systèmes d Inf., 2019)

TWSVC+: Improved Twin Support Vector Machine-Based Clustering. - Sanaz Moezzi; Mehrdad Jalali; Yahya Forghani (Ingénierie des Systèmes d Inf., 2019)

Weighted Version of Extended Nearest Neighbors. - Mona Pourseyyedi; Yahya Forghani (Neural Process. Lett., 2019)

An efficient storage-optimizing tick data clustering model. - Haleh Amintoosi; Masood Niazi Torshiz; Yahya Forghani; Sara Alinejad (Turkish J. Electr. Eng. Comput. Sci., 2020)

A recursive algorithm to increase the speed of regression-based binary recommendation systems. - Mahla Mohammadzadeh Khadem; Yahya Forghani (Inf. Sci., 2020)

Improving the Speed of Support Vector Regression Using Regularized Least Square Regression. - Sanaz Sagha Pirmard; Yahya Forghani (Ingénierie des Systèmes d Inf., 2020)

Piece-wise max-margin-based discriminative feature learning. - Yahya Forghani; Zohreh Zendehdel (J. Exp. Theor. Artif. Intell., 2020)

Improvements on Learning Kernel Extended Dictionary for Face Recognition. - Soodabeh Amanzadeh; Yahya Forghani; Seyyed Javad Seyyed Mahdavi Chabok (Rev. d'Intelligence Artif., 2020)

Improving Multi-class Co-Clustering-Based Collaborative Recommendation Using Item Tags. - Anita Gholami; Yahya Forghani (Rev. d'Intelligence Artif., 2020)

A novel heuristic algorithm to solve penalized regression-based clustering model. - Shadi Hasanzadeh Tavakkoli; Yahya Forghani; Reza Sheibani (Soft Comput., 2020)

Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification. - Azadeh Rezazadeh Hamedani; Mohammad Hossein Moattar; Yahya Forghani (J. Big Data, 2021)

An initialization method to improve the training time of matrix factorization algorithm for fast recommendation. - Mojtaba Mohammadian; Yahya Forghani; Masood Niazi Torshiz (Soft Comput., 2021)

Balanced hierarchical max margin matrix factorization for recommendation system. - Mahdi Ravakhah; Mehrdad Jalali; Yahya Forghani; Reza Sheibani (Expert Syst. J. Knowl. Eng., 2022)

Improved cost-sensitive representation of data for solving the imbalanced big data classification problem. - Mahboubeh Fattahi; Mohammad Hossein Moattar; Yahya Forghani (J. Big Data, 2022)

Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems. - Mahboubeh Fattahi; Mohammad Hossein Moattar; Yahya Forghani (Knowl. Based Syst., 2023)

On optimizing the charging trajectory of mobile chargers in wireless sensor networks: a deep reinforcement learning approach. - Newsha Nowrozian; Farzad Tashtarian; Yahya Forghani (Wirel. Networks, 2024)

Enhancing CNN-LSTM neural networks using jellyfish search algorithm for pandemic modeling. - Azade Hashemi Feriz; Mehrdad Jalali; Yahya Forghani (Concurr. Comput. Pract. Exp., 2024)

Predicted consumer buying behavior in neural marketing based on convolutional neural network and short-term long-term memory. - Hojjat Azadravesh; Reza Sheibani; Yahya Forghani (Multim. Tools Appl., 2025)

A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance. - Jalil Toosifar; Yahya Forghani; Seyyed Abed Hosseini; Nasser Shoeibi (J. Big Data, 2025)