Follow
Hilal Tayara
Hilal Tayara
Jeonbuk National University
Verified email at jbnu.ac.kr
Title
Cited by
Cited by
Year
Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network
H Tayara, KG Soo, KT Chong
Ieee Access 6, 2220-2230, 2017
1792017
DeePromoter: robust promoter predictor using deep learning
M Oubounyt, Z Louadi, H Tayara, KT Chong
Frontiers in genetics 10, 453150, 2019
1422019
Object detection in very high-resolution aerial images using one-stage densely connected feature pyramid network
H Tayara, KT Chong
Sensors 18 (10), 3341, 2018
1122018
iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components
M Tahir, H Tayara, KT Chong
Journal of theoretical biology 465, 1-6, 2019
972019
iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule
M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 189, 96-101, 2019
892019
iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
I Nazari, M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 193, 103811, 2019
882019
iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks
M Tahir, H Tayara, KT Chong
Molecular Therapy-Nucleic Acids 16, 463-470, 2019
752019
PUResNet: prediction of protein-ligand binding sites using deep residual neural network
J Kandel, H Tayara, KT Chong
Journal of cheminformatics 13, 1-14, 2021
702021
Branch point selection in RNA splicing using deep learning
I Nazari, H Tayara, KT Chong
Ieee Access 7, 1800-1807, 2018
622018
4mCCNN: Identification of N4-methylcytosine sites in prokaryotes using convolutional neural network
J Khanal, I Nazari, H Tayara, KT Chong
Ieee Access 7, 145455-145461, 2019
562019
A CNN-based RNA N6-methyladenosine site predictor for multiple species using heterogeneous features representation
W Alam, SD Ali, H Tayara, K to Chong
IEEE Access 8, 138203-138209, 2020
552020
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
H Tayara, M Tahir, KT Chong
Genomics 112 (2), 1396-1403, 2020
482020
Identifying enhancers and their strength by the integration of word embedding and convolution neural network
J Khanal, H Tayara, KT Chong
Ieee Access 8, 58369-58376, 2020
442020
Deep splicing code: Classifying alternative splicing events using deep learning
Z Louadi, M Oubounyt, H Tayara, KT Chong
Genes 10 (8), 587, 2019
382019
Deep learning models based on distributed feature representations for alternative splicing prediction
M Oubounyt, Z Louadi, H Tayara, KT Chong
IEEE Access 6, 58826-58834, 2018
382018
XG-ac4C: identification of N4-acetylcytidine (ac4C) in mRNA using eXtreme gradient boosting with electron-ion interaction pseudopotentials
W Alam, H Tayara, KT Chong
Scientific reports 10 (1), 20942, 2020
372020
Spinenet-6ma: A novel deep learning tool for predicting dna n6-methyladenine sites in genomes
Z Abbas, H Tayara, K to Chong
IEEE Access 8, 201450-201457, 2020
372020
iIM-CNN: intelligent identifier of 6mA sites on different species by using convolution neural network
A Wahab, SD Ali, H Tayara, KT Chong
IEEE Access 7, 178577-178583, 2019
372019
DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species
MU Rehman, H Tayara, KT Chong
Computational and structural biotechnology journal 19, 6009-6019, 2021
362021
pcPromoter-CNN: a CNN-based prediction and classification of promoters
M Shujaat, A Wahab, H Tayara, KT Chong
Genes 11 (12), 1529, 2020
352020
The system can't perform the operation now. Try again later.
Articles 1–20