no code implementations • 20 Nov 2023 • Narges Sadat Fazeli Dehkordi, Hadi Zare, Parham Moradi, Mahdi Jalili
The customization of recommended content to users holds significant importance in enhancing user experiences across a wide spectrum of applications such as e-commerce, music, and shopping.
1 code implementation • 21 Jun 2021 • Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
Due to the hardship of labeling on these datasets, there are a variety of approaches on feature selection process in an unsupervised setting by considering some important characteristics of data.
1 code implementation • 10th International Symposium on Telecommunications (IST) 2020 • Hadi Zare, Mohsen Ghassemi Parsa, Mehdi Ghatee, Sasan H. Alizadeh
Various feature selection methods have been recently proposed on different applications to reduce the computational burden of machine learning algorithms as well as the complexity of learned models.
no code implementations • 24 Dec 2019 • Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili
The proposed approach learns the relevant features of communities through a generative probabilistic model without any prior assumption on the communities.
1 code implementation • 10 Dec 2019 • Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
Feature selection methods have an important role on the readability of data and the reduction of complexity of learning algorithms.
no code implementations • 23 Feb 2019 • Soheila Molaei, Hadi Zare, Hadi Veisi
In this paper, information diffusion is considered through a latent representation learning of the heterogeneous networks to encode in a deep learning model.
no code implementations • 23 Feb 2019 • Kayvan Bijari, Hadi Zare, Emad Kebriaei, Hadi Veisi
Besides, exploration and exploiting of semantic relations is regarded as a principal step in text mining applications.
no code implementations • 8 Mar 2017 • Kayvan Bijari, Hadi Zare, Hadi Veisi, Hossein Bobarshad
Furthermore, the performance of the proposed algorithm is investigated based on several benchmark test functions as well as on the well-known datasets.
no code implementations • 14 Dec 2016 • Mahdi Hajiabadi, Hadi Zare, Hossein Bobarshad
Community detection is a task of fundamental importance in social network analysis that can be used in a variety of knowledge-based domains.
no code implementations • 29 Aug 2016 • Hadi Zare, Mojtaba Niazi
There is a variety of techniques for feature selection in supervised learning problems based on different selection metrics.