M. Z. Chahooki

Improvement in Bug Localization based on Kernel Extreme Learning Machine

Mohammad Ali Zare Chahooki, Marzieh Rahmati, M. Chahooki, 2016 .

A Survey on semi-supervised feature selection methods

Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Razieh Sheikhpour, 2017, Pattern Recognit..

Using manifold structure for automatic image annotation by fusion of multiple feature spaces

Hamid Kargar Shooroki, M. Chahooki, M. Z. Chahooki, 2015 .

User recommendation based on Hybrid filtering in Telegram messenger

Mohammad Ali Zare Chahooki, Davod Karimpour, Ali Hashemi, 2021, 2021 26th International Computer Conference, Computer Society of Iran (CSICC).

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

Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Razieh Sheikhpour, 2020, Inf. Sci..

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

Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi, 2021, BMC Bioinformatics.

AMA: a compound methodology for designing and implementing agent-based systems

Mohammad Ali Zare Chahooki, F. Saadatjoo, Erfan Ghandehari, 2014 .

ROBUST BLIND IMAGE WATERMARKING BASED ON MULTI-WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

Malihe Mardanpour, M. Chahooki, M. Z. Chahooki, 2014 .

An Effective Method of Feature Selection in Persian Text for Improving the Accuracy of Detecting Request in Persian Messages on Telegram

Mohammad Ali Zare Chahooki, zahra khalifeh zadeh, M. Z. Chahooki, 2021 .