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ORCIDMajid Sepahvand
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2020 – today
- 2023
[j9]Majid Sepahvand, Fardin Abdali Mohammadi
:
Joint learning method with teacher-student knowledge distillation for on-device breast cancer image classification. Comput. Biol. Medicine 155: 106476 (2023)- [j8]Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi:
An adaptive teacher-student learning algorithm with decomposed knowledge distillation for on-edge intelligence. Eng. Appl. Artif. Intell. 117(Part): 105560 (2023) - [j7]Malihe Mardanpour, Majid Sepahvand, Fardin Abdali Mohammadi, Mahya Nikouei, Homeyra Sarabi:
Human activity recognition based on multiple inertial sensors through feature-based knowledge distillation paradigm. Inf. Sci. 640: 119073 (2023) - 2022
- [j6]Majid Sepahvand, Fardin Abdali Mohammadi:
Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method. Comput. Biol. Medicine 145: 105413 (2022) - [j5]Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi:
Teacher-student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications. Expert Syst. Appl. 202: 117474 (2022) - [j4]Majid Sepahvand, Fardin Abdali Mohammadi:
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation. Inf. Sci. 593: 64-77 (2022) - 2021
- [j3]Majid Sepahvand, Fardin Abdali Mohammadi:
A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN. Biomed. Signal Process. Control. 68: 102766 (2021) - [j2]Majid Sepahvand, Fardin Abdali Mohammadi:
A novel representation in genetic programming for ensemble classification of human motions based on inertial signals. Expert Syst. Appl. 185: 115624 (2021)
2010 – 2019
- 2017
- [j1]Majid Sepahvand, Fardin Abdali Mohammadi, Farhad Mardukhi:
Evolutionary Metric-Learning-Based Recognition Algorithm for Online Isolated Persian/Arabic Characters, Reconstructed Using Inertial Pen Signals. IEEE Trans. Cybern. 47(9): 2872-2884 (2017)
Coauthor Index
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