Search Results for author: Hadi Zare

Found 9 papers, 3 papers with code

Low-rank Dictionary Learning for Unsupervised Feature Selection

1 code implementation21 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.

Dictionary Learning

Similarity Preserving Unsupervised Feature Selection based on Sparse Learning

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.

Sparse Learning

Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach

no code implementations24 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.

Community Detection

Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering

1 code implementation10 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.

Representation Learning

Deep Learning Approach on Information Diffusion in Heterogeneous Networks

no code implementations23 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.

Representation Learning

Memory Enriched Big Bang Big Crunch Optimization Algorithm for Data Clustering

no code implementations8 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.

Decision Making

IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection

no code implementations14 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.

Community Detection

Relevant based structure learning for feature selection

no code implementations29 Aug 2016 Hadi Zare, Mojtaba Niazi

There is a variety of techniques for feature selection in supervised learning problems based on different selection metrics.

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