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2020 – today
- 2023
[j7]Elnaz Pashaei, Elham Pashaei:
A fusion approach based on black hole algorithm and particle swarm optimization for image enhancement. Multim. Tools Appl. 82(1): 297-325 (2023)- [j6]Elnaz Pashaei, Elham Pashaei:
Gaussian quantum arithmetic optimization-based histogram equalization for medical image enhancement. Multim. Tools Appl. 82(22): 34725-34748 (2023) - [j5]Elnaz Pashaei, Elham Pashaei:
Hybrid binary COOT algorithm with simulated annealing for feature selection in high-dimensional microarray data. Neural Comput. Appl. 35(1): 353-374 (2023) - 2022
- [j4]Elham Pashaei
:
Mutation-based Binary Aquila optimizer for gene selection in cancer classification. Comput. Biol. Chem. 101: 107767 (2022) - [j3]Elnaz Pashaei, Elham Pashaei:
An efficient binary chimp optimization algorithm for feature selection in biomedical data classification. Neural Comput. Appl. 34(8): 6427-6451 (2022) - [j2]Elham Pashaei, Elnaz Pashaei:
Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical data. J. Supercomput. 78(13): 15598-15637 (2022) - 2020
- [c4]Elnaz Pashaei, Elham Pashaei:
Gene Selection for Cancer Classification using a New Hybrid of Binary Black Hole Algorithm. SIU 2020: 1-4
2010 – 2019
- 2018
- [j1]Elham Pashaei, Nizamettin Aydin:
Markovian encoding models in human splice site recognition using SVM. Comput. Biol. Chem. 73: 159-170 (2018) - 2017
- [b1]Elham Pashaei:
Splice site prediction using machine learning (Makine öğrenmesi kullanarak uçbirleştirme yeri tahmini). Yıldız Technical University, Turkey, 2017 - 2016
- [c3]Elham Pashaei, Mustafa Ozen, Nizamettin Aydin:
Splice sites prediction of human genome using AdaBoost. BHI 2016: 300-303 - [c2]Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin:
A novel method for splice sites prediction using sequence component and hidden Markov model. EMBC 2016: 3076-3079 - [c1]Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin:
Prediction of splice site using AdaBoost with a new sequence encoding approach. SMC 2016: 3853-3858
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