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Yahya Forghani
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2020 – today
- 2024
- [j31]Azade Hashemi Feriz, Mehrdad Jalali
, Yahya Forghani:
Enhancing CNN-LSTM neural networks using jellyfish search algorithm for pandemic modeling. Concurr. Comput. Pract. Exp. 36(17) (2024) - [j30]Newsha Nowrozian
, Farzad Tashtarian, Yahya Forghani:
On optimizing the charging trajectory of mobile chargers in wireless sensor networks: a deep reinforcement learning approach. Wirel. Networks 30(1): 421-436 (2024) - 2023
- [j29]Mahboubeh Fattahi, Mohammad Hossein Moattar
, Yahya Forghani:
Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems. Knowl. Based Syst. 259: 110088 (2023) - 2022
- [j28]Mahdi Ravakhah, Mehrdad Jalali
, Yahya Forghani
, Reza Sheibani:
Balanced hierarchical max margin matrix factorization for recommendation system. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j27]Mahboubeh Fattahi, Mohammad Hossein Moattar
, Yahya Forghani:
Improved cost-sensitive representation of data for solving the imbalanced big data classification problem. J. Big Data 9(1): 60 (2022) - 2021
- [j26]Azadeh Rezazadeh Hamedani, Mohammad Hossein Moattar
, Yahya Forghani:
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification. J. Big Data 8(1): 135 (2021) - [j25]Mojtaba Mohammadian, Yahya Forghani
, Masood Niazi Torshiz:
An initialization method to improve the training time of matrix factorization algorithm for fast recommendation. Soft Comput. 25(5): 3975-3987 (2021) - 2020
- [j24]Haleh Amintoosi
, Masood Niazi Torshiz
, Yahya Forghani
, Sara Alinejad
:
An efficient storage-optimizing tick data clustering model. Turkish J. Electr. Eng. Comput. Sci. 28(5): 2657-2669 (2020) - [j23]Mahla Mohammadzadeh Khadem, Yahya Forghani
:
A recursive algorithm to increase the speed of regression-based binary recommendation systems. Inf. Sci. 512: 1324-1334 (2020) - [j22]Sanaz Sagha Pirmard, Yahya Forghani:
Improving the Speed of Support Vector Regression Using Regularized Least Square Regression. Ingénierie des Systèmes d Inf. 25(4): 427-435 (2020) - [j21]Yahya Forghani, Zohreh Zendehdel:
Piece-wise max-margin-based discriminative feature learning. J. Exp. Theor. Artif. Intell. 32(5): 831-844 (2020) - [j20]Anita Gholami, Yahya Forghani:
Improving Multi-class Co-Clustering-Based Collaborative Recommendation Using Item Tags. Rev. d'Intelligence Artif. 34(1): 59-65 (2020) - [j19]Soodabeh Amanzadeh, Yahya Forghani, Seyyed Javad Seyyed Mahdavi Chabok:
Improvements on Learning Kernel Extended Dictionary for Face Recognition. Rev. d'Intelligence Artif. 34(4): 387-394 (2020) - [j18]Shadi Hasanzadeh Tavakkoli, Yahya Forghani
, Reza Sheibani:
A novel heuristic algorithm to solve penalized regression-based clustering model. Soft Comput. 24(12): 9215-9225 (2020)
2010 – 2019
- 2019
- [j17]Fereshteh Sadat Hoseininejad, Yahya Forghani
, Omid Ehsani
:
A fast algorithm for local feature selection in data classification. Expert Syst. J. Knowl. Eng. 36(3) (2019) - [j16]Mohammad Barati, Mehrdad Jalali
, Yahya Forghani
:
Alternating optimization to solve penalized regression-based clustering model. Expert Syst. J. Knowl. Eng. 36(6) (2019) - [j15]Narges Hasanzadeh, Yahya Forghani:
Improving the Accuracy of M-distance Based Nearest Neighbor Recommendation System by Using Ratings Variance. Ingénierie des Systèmes d Inf. 24(2): 131-137 (2019) - [j14]Sanaz Moezzi, Mehrdad Jalali
, Yahya Forghani:
TWSVC+: Improved Twin Support Vector Machine-Based Clustering. Ingénierie des Systèmes d Inf. 24(5): 463-471 (2019) - [j13]Mona Pourseyyedi, Yahya Forghani
:
Weighted Version of Extended Nearest Neighbors. Neural Process. Lett. 49(1): 227-237 (2019) - [i2]Mostafa Razavi Ghods, Mohammad Hossein Moattar, Yahya Forghani:
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement. CoRR abs/1902.03453 (2019) - 2018
- [j12]Hamed Nikdel, Yahya Forghani
, S. Mohammad Hosein Moattar
:
Increasing the speed of fuzzy k-nearest neighbours algorithm. Expert Syst. J. Knowl. Eng. 35(3) (2018) - [j11]Behrouz Beik Khorasani, Mohammad Hossein Moattar
, Yahya Forghani
:
A geodesic distance-based approach for shape-independent data clustering using coalitional game. Expert Syst. J. Knowl. Eng. 35(6) (2018) - [j10]Yahya Forghani:
Comment on "Joint sparse principal component analysis" by S. Yi et al. (Pattern Recognition, vol. 61 pp. 524-536, 2017). Pattern Recognit. 77: 454-455 (2018) - [j9]Yahya Forghani:
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. 77: 456-457 (2018) - [c1]Shady Tabasi Kakhki, Mahmoud Naghibzadeh, Yahya Forghani:
Protein-Protein Interaction Networks Alignment using Mathematical Model Approximation. IST 2018: 133-138 - 2017
- [j8]Yahya Forghani:
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. 118: 1-3 (2017) - 2015
- [j7]Yahya Forghani, Hadi Sadoghi Yazdi:
Robust Support Vector Machines with Low Test Time. Comput. Intell. 31(4): 619-641 (2015) - [j6]Yahya Forghani, Hadi Sadoghi Yazdi:
Fuzzy Min-Max Neural Network for Learning a Classifier with Symmetric Margin. Neural Process. Lett. 42(2): 317-353 (2015) - 2014
- [j5]Yahya Forghani, Hadi Sadoghi Yazdi:
Robust support vector machine-trained fuzzy system. Neural Networks 50: 154-165 (2014) - 2013
- [j4]Yahya Forghani, Hadi Sadoghi Yazdi, Sohrab Effati
:
Classification of fuzzy data based on the support vector machines. Expert Syst. J. Knowl. Eng. 30(5): 403-417 (2013) - [j3]Yahya Forghani, Hadi Sadoghi Yazdi:
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. 14(1): 3493-3494 (2013) - [i1]Yahya Forghani, Hadi Sadoghi Yazdi:
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 abs/1308.3750 (2013) - 2012
- [j2]Yahya Forghani, Hadi Sadoghi Yazdi, Sohrab Effati
:
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. 39(8): 7581-7583 (2012) - [j1]Yahya Forghani, Hadi Sadoghi Yazdi, Sohrab Effati
:
An extension to fuzzy support vector data description (FSVDD*). Pattern Anal. Appl. 15(3): 237-247 (2012)
Coauthor Index
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last updated on 2024-08-03 20:13 CEST by the dblp team
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