Hossein Sadr (0000-0003-4728-8278)

Personal information

Biography

I'm an assistant professor and faculty member, Department of computer engineering in Islamic Azad University. I received my Ph.D degree in computer engineering in 2019. My research interests include natural language processing, data mining, machine learning and deep learning. In particular, I am interested in employing deep learning in different applications of natural language processing, especially sentiment analysis. The field of opinion mining, or sentiment analysis, has become active in recent years. Since different kinds of deep neural networks differ in their structures, they are probably extracting different features. Investigating whether features generated by heterogeneous deep neural networks can be combined by multi-view learning to improve the overall performance is a follow-up research work.

Activities

Collapse all

Islamic Azad University : Rasht, Guilan, IR

2019 to present | Faculty Member

Employment

Hossein Sadr

https://orcid.org/0000-0003-4728-8278

Personal information

Emails & domains

Verified email domains

Websites & social links

Other IDs

Keywords

Countries

Biography

Activities

Employment (5)

Islamic Azad University : Rasht, Guilan, IR

Caspian System Development Company: Rasht, Guilan, IR

Islamic Azad University: Tehran/Parand , Tehran, IR

Nasim Ertebatat Company: Tehran, IR

Magfa (Iran Information Technology Development Center): Tehran, IR

Education and qualifications (1)

Qazvin Islamic Azad University: Qazvin, Qazvin, IR

Works (22)

An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection

ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of sentiment classification

Contextualized Multidimensional Personality Recognition using Combination of Deep Neural Network and Ensemble Learning

EEG Feature Extraction and Data Augmentation in Emotion Recognition

Using Machine Learning-Based Models for Personality Recognition

A novel deep learning method for textual sentiment analysis

A Shallow Deep Neural Network for Selection of Migration Candidate Virtual Machines to Reduce Energy Consumption

Combination of convolutional neural network and gated recurrent unit for energy aware resource allocation

CSCNN: Cost-Sensitive Convolutional Neural Network for Encrypted Traffic Classification

An Efficient Deep Learning Method for Encrypted Traffic Classification on the Web

An Efficient Deep Learning Method for Encrypted Traffic Classification on the Web

Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis

A Robust Sentiment Analysis Method Based on Sequential Combination of Convolutional and Recursive Neural Networks

Exploring the Efficiency of Topic-Based Models in Computing Semantic Relatedness of Geographic Terms

Presentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures

Unified topic-based semantic models: A study in computing the semantic relatedness of geographic terms

Unified Topic-Based Semantic Models: A Study in Computing the Semantic Relatedness of Geographic Terms

Categorization of Persian Detached Handwritten Letters Using Intelligent Combinations of Classifiers

Improving Weak Queries using Local Cluster Analysis as a Preliminary Framework

The Significance of Normalization Factor of Documents to Enhance the Quality of Search in Information Retrieval Systems

A Survey of semantic relatedness measures

The Significance of Semantic Relatedness and Similarity measures in Geographic Information Science

Peer review (27 reviews for 6 publications/grants)