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Elnaz Pashaei
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2020 – today
- 2024
- [j10]Sheng Liu, Hye Seung Nam, Ziyu Zeng, Xuehong Deng, Elnaz Pashaei, Yong Zang, Lei Yang, Chenglong Li, Jiaoti Huang, Michael K. Wendt, Xin Lu, Rong Huang, Jun Wan:
CDHu40: a novel marker gene set of neuroendocrine prostate cancer. Briefings Bioinform. 25(6) (2024) - [j9]Sayed Pedram Haeri Boroujeni, Elnaz Pashaei:
A hybrid chimp optimization algorithm and generalized normal distribution algorithm with opposition-based learning strategy for solving data clustering problems. Iran J. Comput. Sci. 7(1): 65-101 (2024) - [j8]Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Elnaz Pashaei:
An efficient high-dimensional gene selection approach based on the Binary Horse Herd Optimization Algorithm for biologicaldata classification. Iran J. Comput. Sci. 7(2): 279-309 (2024) - 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) - [i2]Sayed Pedram Haeri Boroujeni, Elnaz Pashaei:
A Hybrid Chimp Optimization Algorithm and Generalized Normal Distribution Algorithm with Opposition-Based Learning Strategy for Solving Data Clustering Problems. CoRR abs/2302.08623 (2023) - [i1]Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Elnaz Pashaei:
An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification. CoRR abs/2308.09791 (2023) - 2022
- [j4]Maryam Ahmady, Seyed Saeid Mirkamali, Bahareh Pahlevanzadeh, Elnaz Pashaei, Ali Asghar Rahmani Hosseinabadi, Adam Slowik:
Facial expression recognition using fuzzified Pseudo Zernike Moments and structural features. Fuzzy Sets Syst. 443(Part): 155-172 (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) - 2021
- [c8]Sayed Pedram Haeri Boroujeni, Elnaz Pashaei:
A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm. CCE 2021: 1-8 - [c7]Niloufar Mehrabi, Elnaz Pashaei:
Application of Horse Herd Optimization Algorithm for medical problems. INISTA 2021: 1-6 - 2020
- [c6]Elnaz Pashaei, Elham Pashaei:
Gene Selection for Cancer Classification using a New Hybrid of Binary Black Hole Algorithm. SIU 2020: 1-4
2010 – 2019
- 2017
- [b1]Elnaz Pashaei:
Meta-analysis of microRNA and gene selection using machine learning (Makine öğrenmesi kullanarak microRNA meta-analizi ve gen seçimi). Yıldız Technical University, Turkey, 2017 - [j1]Elnaz Pashaei, Nizamettin Aydin:
Binary black hole algorithm for feature selection and classification on biological data. Appl. Soft Comput. 56: 94-106 (2017) - 2016
- [c5]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Gene selection and classification approach for microarray data based on Random Forest Ranking and BBHA. BHI 2016: 308-311 - [c4]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. EMBC 2016: 3080-3083 - 2015
- [c3]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
An application of black hole algorithm and decision tree for medical problem. BIBE 2015: 1-6 - [c2]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization. CIBCB 2015: 1-6 - [c1]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Improving medical diagnosis reliability using Boosted C5.0 decision tree empowered by Particle Swarm Optimization. EMBC 2015: 7230-7233
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last updated on 2024-11-25 23:39 CET by the dblp team
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