| A survey on semi-supervised feature selection methods R Sheikhpour, MA Sarram, S Gharaghani, MAZ Chahooki Pattern recognition 64, 141-158, 2017 | 640 | 2017 |
| A robust graph-based semi-supervised sparse feature selection method R Sheikhpour, MA Sarram, S Gharaghani, MAZ Chahooki Information Sciences 531, 13-30, 2020 | 64 | 2020 |
| Robust transparent image watermarking with Shearlet transform and bidiagonal singular value decomposition M Mardanpour, MAZ Chahooki AEU-International Journal of Electronics and Communications 70 (6), 790-798, 2016 | 59 | 2016 |
| Telegram group quality measurement by user behavior analysis A Hashemi, MA Zare Chahooki Social Network Analysis and Mining 9 (1), 33, 2019 | 52 | 2019 |
| AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders SZ Sajadi, MA Zare Chahooki, S Gharaghani, K Abbasi BMC bioinformatics 22 (1), 204, 2021 | 43 | 2021 |
| Shape retrieval based on manifold learning by fusion of dissimilarity measures NMC MAZ Chahooki Image Processing 4 (6), 327-336, 2012 | 35 | 2012 |
| Learning the shape manifold to improve object recognition MAZ Chahooki, NM Charkari Machine vision and applications 24 (1), 33-46, 2013 | 30 | 2013 |
| A robust high capacity watermarking based on DCT and spread spectrum NM Charkari, MAZ Chahooki 2007 IEEE International Symposium on Signal Processing and Information …, 2007 | 23 | 2007 |
| Aspect-based sentiment analysis of Twitter influencers to predict the trend of cryptocurrencies based on hybrid deep transfer learning models K Jahanbin, MAZ Chahooki IEEE Access 11, 121656-121670, 2023 | 22 | 2023 |
| A kernelized non-parametric classifier based on feature ranking in anisotropic Gaussian kernel R Sheikhpour, MA Sarram, MAZ Chahooki, R Sheikhpour Neurocomputing 267, 545-555, 2017 | 22 | 2017 |
| Feature selection based on graph Laplacian by using compounds with known and unknown activities R Sheikhpour, MA Sarram, S Gharaghani, MAZ Chahooki Journal of Chemometrics 31 (8), e2899, 2017 | 14 | 2017 |
| Shape classification by manifold learning in multiple observation spaces MAZ Chahooki, NM Charkari Information Sciences 262, 46-61, 2014 | 13 | 2014 |
| Matrix factorization with denoising autoencoders for prediction of drug–target interactions SZ Sajadi, MA Zare Chahooki, M Tavakol, S Gharaghani Molecular Diversity 27 (3), 1333-1343, 2023 | 10 | 2023 |
| Advanced stock price forecasting using a 1D-CNN-GRU-LSTM model F Moodi, A Jahangard Rafsanjani, S Zarifzadeh, MA Zare Chahooki Journal of AI and Data Mining 12 (3), 393-408, 2024 | 8 | 2024 |
| Cryptocurrencies investment framework using sentiment analysis of Twitter influencers MAZ Chahooki, K Jahanbin, T Sutikno Indonesian Journal of Electrical Engineering and Computer Science 30 (2 …, 2023 | 7 | 2023 |
| The Effectiveness of the Fused Weighted Filter Feature Selection Method to Improve Software Fault Prediction F Alighardashi, MAZ Chahooki Journal of Communications Technology, Electronics and Computer Science 8, 5-11, 2016 | 7 | 2016 |
| Robust hybrid image watermarking based on discrete wavelet and shearlet transforms M Mardanpour, MAZ Chahooki arXiv preprint arXiv:1603.09396, 2016 | 7 | 2016 |
| Improvement of supervised shape retrieval by learning the manifold space MAZ Chahooki, NM Charkari 2011 7th Iranian Conference on Machine Vision and Image Processing, 1-4, 2011 | 7 | 2011 |
| Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning K Jahanbin, MAZ Chahooki International Journal of Intelligent Systems 2025 (1), 4211799, 2025 | 6 | 2025 |
| Fusion of technical indicators and sentiment analysis in a hybrid framework of deep learning models for stock price movement prediction F Moodi, AJ Rafsanjani, S Zarifzadeh, MAZ Chahooki IEEE Access 12, 195696-195709, 2024 | 6 | 2024 |
Mehdi Agha SarramAssociate Professor, Computer Engineering Department, Yazd University, Yazd, IranVerified email at yazd.ac.ir
