Learning the shape manifold to improve object recognition. - Mohammad Ali Zare Chahooki; Nasrollah Moghaddam Charkari (Mach. Vis. Appl., 2013)

Shape classification by manifold learning in multiple observation spaces. - Mohammad Ali Zare Chahooki; Nasrollah Moghaddam Charkari (Inf. Sci., 2014)

Unsupervised manifold learning based on multiple feature spaces. - Mohammad Ali Zare Chahooki; Nasrollah Moghaddam Charkari (Mach. Vis. Appl., 2014)

Robust Hybrid Image Watermarking based on Discrete Wavelet and Shearlet Transforms. - Malihe Mardanpour; Mohammad Ali Zare Chahooki (CoRR, 2016)

Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine. - Seyed Hamid Reza Mohammadi; Mohammad Ali Zare Chahooki (CoRR, 2016)

Bridging the semantic gap for automatic image annotation by learning the manifold space. - Mohammad Ali Zare Chahooki; Nasrollah Moghaddam Charkari (Comput. Syst. Sci. Eng., 2016)

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)

Selection of effective training instances for scalable automatic image annotation. - Hamid Kargar Shooroki; Mohammad Ali Zare Chahooki (Multim. Tools Appl., 2017)

A Survey on semi-supervised feature selection methods. - Razieh Sheikhpour; Mehdi Agha Sarram; Sajjad Gharaghani; Mohammad Ali Zare Chahooki (Pattern Recognit., 2017)

Telegram group quality measurement by user behavior analysis. - Ali Hashemi 004; Mohammad Ali Zare Chahooki (Soc. Netw. Anal. Min., 2019)

A robust graph-based semi-supervised sparse feature selection method. - Razieh Sheikhpour; Mehdi Agha Sarram; Sajjad Gharaghani; Mohammad Ali Zare Chahooki (Inf. Sci., 2020)

User recommendation based on Hybrid filtering in Telegram messenger. - Davod Karimpour; Mohammad Ali Zare Chahooki; Ali Hashemi 004 (CSICC, 2021)

Telegram group recommendation based on users' migration. - Davod Karimpour; Mohammad Ali Zare Chahooki; Ali Hashemi 004 (CSICC, 2021)

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders. - Seyedeh Zahra Sajadi; Mohammad Ali Zare Chahooki; Sajjad Gharaghani; Karim Abbasi (BMC Bioinform., 2021)

Content-Based Telegram Group Recommender System. - Motahareh Mohammad Rezai; Mohammad Ali Zare Chahooki (CSICC, 2022)

Group recommendation in Telegram by membership graph analyzing. - Motahareh Mohammad Rezai; Mohammad Ali Zare Chahooki (CSICC, 2022)

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)

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., 2023)

A Hybrid Deep Implicit Neural Model for Sentiment Analysis via Transfer Learning. - Kia Jahanbin; Mohammad Ali Zare Chahooki (IEEE Access, 2024)

Fusion of Technical Indicators and Sentiment Analysis in a Hybrid Framework of Deep Learning Models for Stock Price Movement Prediction. - Fatemeh Moodi; Amir Jahangard Rafsanjani; Sajjad Zarifzadeh; Mohammad Ali Zare Chahooki (IEEE Access, 2024)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting. - Arash Peik; Mohammad Ali Zare Chahooki; Amin Milani Fard; Mehdi Agha Sarram (CoRR, 2024)

Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries. - Arash Peik; Mohammad Ali Zare Chahooki; Amin Milani Fard; Mehdi Agha Sarram (Canadian AI, 2025)

Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning. - Kia Jahanbin; Mohammad Ali Zare Chahooki (Int. J. Intell. Syst., 2025)

Integrating Emotion Distribution Networks and Textual Message Analysis for X User Emotional State Classification. - Pardis Moradbeiki; Mohammad Ali Zare Chahooki (CoRR, 2025)