Mohammad Ali Zare Chahooki

According to our database, Mohammad Ali Zare Chahooki authored at least 18 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

AutoMF: A hybrid matrix factorization model with deep learning to select anti-viral drugs for Covid-19.

Seyedeh Zahra Sajadi, Seyed Mojtaba Sadjadi, Mohammad Ali Zare Chahooki

J. Comput. Sci., December, 2023

Aspect-Based Sentiment Analysis of Twitter Influencers to Predict the Trend of Cryptocurrencies Based on Hybrid Deep Transfer Learning Models.

Kia Jahanbin, Mohammad Ali Zare Chahooki

IEEE Access, 2023

2022

Group recommendation in Telegram by membership graph analyzing.

Motahareh Mohammad Rezai, Mohammad Ali Zare Chahooki

Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022

Content-Based Telegram Group Recommender System.

Motahareh Mohammad Rezai, Mohammad Ali Zare Chahooki

Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022

2021

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders.

Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi

BMC Bioinform., 2021

Telegram group recommendation based on users' migration.

Davod Karimpour, Mohammad Ali Zare Chahooki, Ali Hashemi

Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

User recommendation based on Hybrid filtering in Telegram messenger.

Davod Karimpour, Mohammad Ali Zare Chahooki, Ali Hashemi

Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

2020

A robust graph-based semi-supervised sparse feature selection method.

Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki

Inf. Sci., 2020

2019

Telegram group quality measurement by user behavior analysis.

Ali Hashemi, Mohammad Ali Zare Chahooki

Soc. Netw. Anal. Min., 2019

2017

A Survey on semi-supervised feature selection methods.

Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki

Pattern Recognit., 2017

Selection of effective training instances for scalable automatic image annotation.

Hamid Kargar Shooroki, Mohammad Ali Zare Chahooki

Multim. Tools Appl., 2017

A kernelized non-parametric classifier based on feature ranking in anisotropic Gaussian kernel.

Razieh Sheikhpour, Mehdi Agha Sarram, Mohammad Ali Zare Chahooki, Robab Sheikhpour

Neurocomputing, 2017

2016

Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine.

Seyed Hamid Reza Mohammadi, Mohammad Ali Zare Chahooki

CoRR, 2016

Robust Hybrid Image Watermarking based on Discrete Wavelet and Shearlet Transforms.

Malihe Mardanpour, Mohammad Ali Zare Chahooki

CoRR, 2016

2015

Bridging the semantic gap for automatic image annotation by learning the manifold space.

Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari

Comput. Syst. Sci. Eng., 2015

2014

Unsupervised manifold learning based on multiple feature spaces.

Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari

Mach. Vis. Appl., 2014

Shape classification by manifold learning in multiple observation spaces.

Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari

Inf. Sci., 2014

2013

Learning the shape manifold to improve object recognition.

Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari

Mach. Vis. Appl., 2013