Mohammad Ali Zare Chahooki

27 papers Misc 4Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction. CoRR Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard, Mehdi Agha Sarram
2025	J	`jnl`	Aspect-level sentiment analysis in social media using a hybrid deep transfer learning approach. Knowl. Based Syst. Kia Jahanbin, Mohammad Ali Zare Chahooki
2025	J	`jnl`	Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning. Int. J. Intell. Syst. Kia Jahanbin, Mohammad Ali Zare Chahooki
2025	—	`conf`	Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries. Canadian AI Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard, Mehdi Agha Sarram
2025	J	`jnl`	Integrating Emotion Distribution Networks and Textual Message Analysis for X User Emotional State Classification. CoRR Pardis Moradbeiki, Mohammad Ali Zare Chahooki
2024	J	`jnl`	A Hybrid Deep Implicit Neural Model for Sentiment Analysis via Transfer Learning. IEEE Access Kia Jahanbin, Mohammad Ali Zare Chahooki
2024	J	`jnl`	Fusion of Technical Indicators and Sentiment Analysis in a Hybrid Framework of Deep Learning Models for Stock Price Movement Prediction. IEEE Access Fatemeh Moodi, Amir Jahangard Rafsanjani, Sajjad Zarifzadeh, Mohammad Ali Zare Chahooki
2024	J	`jnl`	Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting. CoRR Arash Peik, Mohammad Ali Zare Chahooki, Amin Milani Fard, Mehdi Agha Sarram
2023	J	`jnl`	Aspect-Based Sentiment Analysis of Twitter Influencers to Predict the Trend of Cryptocurrencies Based on Hybrid Deep Transfer Learning Models. IEEE Access Kia Jahanbin, Mohammad Ali Zare Chahooki
2023	J	`jnl`	AutoMF: A hybrid matrix factorization model with deep learning to select anti-viral drugs for Covid-19. J. Comput. Sci. Seyedeh Zahra Sajadi, Seyed Mojtaba Sadjadi, Mohammad Ali Zare Chahooki
2022	Misc	`conf`	Content-Based Telegram Group Recommender System. CSICC Motahareh Mohammad Rezai, Mohammad Ali Zare Chahooki
2022	Misc	`conf`	Group recommendation in Telegram by membership graph analyzing. CSICC Motahareh Mohammad Rezai, Mohammad Ali Zare Chahooki
2021	J	`jnl`	AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders. BMC Bioinform. Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi
2021	Misc	`conf`	Telegram group recommendation based on users' migration. CSICC Davod Karimpour, Mohammad Ali Zare Chahooki, Ali Hashemi
2021	Misc	`conf`	User recommendation based on Hybrid filtering in Telegram messenger. CSICC Davod Karimpour, Mohammad Ali Zare Chahooki, Ali Hashemi
2020	J	`jnl`	A robust graph-based semi-supervised sparse feature selection method. Inf. Sci. Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki
2019	J	`jnl`	Telegram group quality measurement by user behavior analysis. Soc. Netw. Anal. Min. Ali Hashemi, Mohammad Ali Zare Chahooki
2017	J	`jnl`	A Survey on semi-supervised feature selection methods. Pattern Recognit. Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki
2017	J	`jnl`	A kernelized non-parametric classifier based on feature ranking in anisotropic Gaussian kernel. Neurocomputing Razieh Sheikhpour, Mehdi Agha Sarram, Mohammad Ali Zare Chahooki, Robab Sheikhpour
2017	J	`jnl`	Selection of effective training instances for scalable automatic image annotation. Multim. Tools Appl. Hamid Kargar Shooroki, Mohammad Ali Zare Chahooki
2016	J	`jnl`	Bridging the semantic gap for automatic image annotation by learning the manifold space. Comput. Syst. Sci. Eng. Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari
2016	J	`jnl`	Robust Hybrid Image Watermarking based on Discrete Wavelet and Shearlet Transforms. CoRR Malihe Mardanpour, Mohammad Ali Zare Chahooki
2016	J	`jnl`	Web Spam Detection Using Multiple Kernels in Twin Support Vector Machine. CoRR Seyed Hamid Reza Mohammadi, Mohammad Ali Zare Chahooki
2015	J	`jnl`	Bridging the semantic gap for automatic image annotation by learning the manifold space. Comput. Syst. Sci. Eng. Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari
2014	J	`jnl`	Shape classification by manifold learning in multiple observation spaces. Inf. Sci. Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari
2014	J	`jnl`	Unsupervised manifold learning based on multiple feature spaces. Mach. Vis. Appl. Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari
2013	J	`jnl`	Learning the shape manifold to improve object recognition. Mach. Vis. Appl. Mohammad Ali Zare Chahooki, Nasrollah Moghaddam Charkari