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Hilal Tayara

Showing results (1-10 of 97) with videos related to

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Sensors (Basel, Switzerland)|October 11, 2018
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid NetworkHilal Tayara, Kil To Chong
Cells|December 19, 2019
Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep LearningHilal Tayara, Kil To Chong
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 20, 2020
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep LearningHilal Tayara, Kil To Chong
International Journal of Biological Macromolecules|July 13, 2025
A multimodule graph-based neural network for accurate drug-target interaction prediction via genomic, proteomic, and structural data fusionMaryam, Kil To Chong, Hilal Tayara
Genomics|May 9, 2022
iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural networkJeehong Kim, Muhammad Shujaat, Hilal Tayara
Scientific Reports|January 13, 2021
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsIbrahim Abdelbaky, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine|July 20, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactionsPriyash Dhakal, Hilal Tayara, Kil To Chong
Pharmaceutics|November 27, 2021
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional NetworksMapopa Chipofya, Hilal Tayara, Kil To Chong
Genes|August 27, 2021
i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical PropertiesWaleed Alam, Hilal Tayara, Kil To Chong
Journal of Cheminformatics|September 9, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural networkJeevan Kandel, Hilal Tayara, Kil To Chong
Pageof 10

Showing results (1-10 of 97) with videos related to

Sort By:
Pageof 10
Sensors (Basel, Switzerland)|October 11, 2018
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid NetworkHilal Tayara, Kil To Chong
Cells|December 19, 2019
Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep LearningHilal Tayara, Kil To Chong
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 20, 2020
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep LearningHilal Tayara, Kil To Chong
International Journal of Biological Macromolecules|July 13, 2025
A multimodule graph-based neural network for accurate drug-target interaction prediction via genomic, proteomic, and structural data fusionMaryam, Kil To Chong, Hilal Tayara
Genomics|May 9, 2022
iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural networkJeehong Kim, Muhammad Shujaat, Hilal Tayara
Scientific Reports|January 13, 2021
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsIbrahim Abdelbaky, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine|July 20, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactionsPriyash Dhakal, Hilal Tayara, Kil To Chong
Pharmaceutics|November 27, 2021
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional NetworksMapopa Chipofya, Hilal Tayara, Kil To Chong
Genes|August 27, 2021
i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical PropertiesWaleed Alam, Hilal Tayara, Kil To Chong
Journal of Cheminformatics|September 9, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural networkJeevan Kandel, Hilal Tayara, Kil To Chong
Pageof 10