Soualihou Ngnamsie Njimbouom

According to our database, Soualihou Ngnamsie Njimbouom authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

ResBiGAAT: Residual Bi-GRU with attention for protein-ligand binding affinity prediction.

Gelany Aly Abdelkader, Soualihou Ngnamsie Njimbouom, Tae-Jin Oh, Jeong-Dong Kim

Comput. Biol. Chem., December, 2023

Predicting Site Energy Usage Intensity Using Machine Learning Models.

Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Hyun Lee, Jeong-Dong Kim

Sensors, 2023

An Effective Feature Selection for Diabetes Prediction.

In-ae Kang, Soualihou Ngnamsie Njimbouom, Jeong-Dong Kim

Proceedings of the Database and Expert Systems Applications - DEXA 2023 Workshops, 2023

RD-Classifier: Reduced Dimensionality Classifier for Alzheimer's Diagnosis Support System.

Soualihou Ngnamsie Njimbouom, Gelany Aly Abdelkader, Candra Zonyfar, Hyun Lee, Jeong-Dong Kim

Proceedings of the Database and Expert Systems Applications, 2023

Efficient Machine Learning-Based Prediction of CYP450 Inhibition.

Gelany Aly Abdelkader, Soualihou Ngnamsie Njimbouom, Prince Delator Gidiglo, Tae-Jin Oh, Jeong-Dong Kim

Proceedings of the Database and Expert Systems Applications, 2023

2021

GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction.

Ermal Elbasani, Soualihou Ngnamsie Njimbouom, Tae-Jin Oh, Eung-Hee Kim, Hyun Lee, Jeong-Dong Kim

BMC Bioinform., 2021