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Mohamad Roshanzamir
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2020 – today
- 2024
- [j17]Roohallah Alizadehsani
, Solomon Sunday Oyelere
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access 12: 35796-35812 (2024) - [j16]Mahmood Sotoodeh
Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. IEEE Access 12: 162432-162449 (2024) - [j15]Roohallah Alizadehsani
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024) - [j14]Muhammad Shahid Iqbal, Md Belal Bin Heyat
Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 116: 102400 (2024) - [c2]Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz:
Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. IWINAC 2024: 98-107 - 2023
- [j13]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j12]Roohallah Alizadehsani
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [c1]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [i4]Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal
Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. CoRR abs/2309.12177 (2023) - 2022
- [j11]Roohallah Alizadehsani
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - 2021
- [j10]Danial Sharifrazi, Roohallah Alizadehsani
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j9]Roohallah Alizadehsani
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j8]Mohamad Roshanzamir
Efficiency improvement of genetic network programming by tasks decomposition in different types of environments. Genet. Program. Evolvable Mach. 22(2): 229-266 (2021) - [i3]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i2]Mohamad Roshanzamir, Roohallah Alizadehsani
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - 2020
- [j7]Roohallah Alizadehsani
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [i1]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020)
2010 – 2019
- 2019
- [j6]Roohallah Alizadehsani
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j5]Mohamad Roshanzamir, Maziar Palhang
Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments. Swarm Evol. Comput. 51 (2019) - 2018
- [j4]Roohallah Alizadehsani
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [d4]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Immunotherapy Dataset. UCI Machine Learning Repository, 2018 - [d3]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Pouran Layegh:
Cryotherapy Dataset. UCI Machine Learning Repository, 2018 - 2017
- [j3]Fahime Khozeimeh, Roohallah Alizadehsani
An expert system for selecting wart treatment method. Comput. Biol. Medicine 81: 167-175 (2017) - [j2]Zeinab Arabasadi, Roohallah Alizadehsani
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. Comput. Methods Programs Biomed. 141: 19-26 (2017) - [d2]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
Z-Alizadeh Sani. UCI Machine Learning Repository, 2017 - [d1]Roohallah Alizadehsani, Mohamad Roshanzamir, Zahra Alizadeh Sani:
extention of Z-Alizadeh sani dataset. UCI Machine Learning Repository, 2017 - 2016
- [j1]Roohallah Alizadehsani
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016)
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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