Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection A Yaghoobi Notash, A Yaghoobi Notash, Z Omidi, S Haghighat BMC Medical Informatics and Decision Making 22 (1), 195, 2022 | 10 | 2022 |
Evolutionary ensemble feature selection learning for image‐based assessment of lymphedema arm volume A Yaghoobi Notash, P Bayat, S Haghighat, A Yaghoobi Notash Concurrency and Computation: Practice and Experience 34 (1), e6334, 2022 | 8 | 2022 |
A parallel implementation of modified fuzzy logic for breast cancer detection F Hoseini, A Shahbahrami, A Yaghoobi Notash, P Bayat journal of Advances in computer Research 7 (2), 139-148, 2016 | 5 | 2016 |
Image Captioning by Using Bidirectional LSTM Neural Network F Hoseini, A Yaghoobi Notash Available at SSRN 4785040, 2024 | 2 | 2024 |
Target Tracking Based on Virtual Grid in Wireless Sensor Networks F Hoseini, A Shahbahrami, A Yaghoobi Notash Journal of AI and Data Mining 6 (2), 313-319, 2018 | 1 | 2018 |
The prediction of lymphedema via the combination of the selected data mining algorithms A Yaghoobi Notash, P Bayat, S Haghighat, A Yaghoobi Notash Tehran University of Medical Sciences Journal 79 (11), 863-872, 2022 | | 2022 |
A Model in Recommender Systems for Disease Diagnosis Using Combined Method AY Notash, B Minaei, A Salajegheh Research Journal of Recent Sciences …, 0 | | |
Target Tracking Based on Virtual Grid F Hoseini, A Yaghoobi, G Ekbatanifard | | |
Virtual grid based clustering algorithm for wireless sensor networks A Yaghoobi, F Hoseini, G Ekbatanifard | | |