Bharuno Mahesworo

According to our database, Bharuno Mahesworo authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Standard Multi-Layer Perceptron on Positive - Unlabeled Glycosylation Site Dataset.

Bharuno Mahesworo, Tjeng Wawan Cenggoro, Favorisen Rosyking Lumbanraja, Bens Pardamean

Proceedings of the Empowering Smart Technology in Digital Era for Industry and Socity: The 8th International Conference on Computer Science and Computational Intelligence, 2023

2021

SSMFN: a fused spatial and sequential deep learning model for methylation site prediction.

Favorisen Rosyking Lumbanraja, Bharuno Mahesworo, Tjeng Wawan Cenggoro, Digdo Sudigyo, Bens Pardamean

PeerJ Comput. Sci., 2021

The fundamental variable of stress detection in health information system to measure health worker's current mental health.

Bens Pardamean, Wikaria Gazali, Hery Harjono Muljo, Teddy Suparyanto, Bharuno Mahesworo

Int. J. Medical Eng. Informatics, 2021

2020

TAM as a Model to Understand the Intention of Using a Mobile-based Cancer Early Detection Learning Application.

Hery Harjono Muljo, Bens Pardamean, Anzaludin Samsinga Perbangsa, Yulius Lie, Kartika Purwandari, Bharuno Mahesworo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro

Int. J. Online Biomed. Eng., 2020

2019

Comparing the Accuracy of Multiple Commercial Wearable Devices: A Method.

Bens Pardamean, Haryono Soeparno, Bharuno Mahesworo, Arif Budiarto, James W. Baurley

Proceedings of the Enabling Collaboration to Escalate Impact of Research Results for Society: The 4th International Conference on Computer Science and Computational Intelligence, 2019

An Evaluation of Deep Neural Network Performance on Limited Protein Phosphorylation Site Prediction Data.

Favorisen Rosyking Lumbanraja, Bharuno Mahesworo, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean

Proceedings of the Enabling Collaboration to Escalate Impact of Research Results for Society: The 4th International Conference on Computer Science and Computational Intelligence, 2019

Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia.

Tjeng Wawan Cenggoro, Bharuno Mahesworo, Arif Budiarto, James W. Baurley, Teddy Suparyanto, Bens Pardamean

Proceedings of the Enabling Collaboration to Escalate Impact of Research Results for Society: The 4th International Conference on Computer Science and Computational Intelligence, 2019

Fast and Effective Clustering Method for Ancestry Estimation.

Arif Budiarto, Bharuno Mahesworo, James W. Baurley, Teddy Suparyanto, Bens Pardamean

Proceedings of the Enabling Collaboration to Escalate Impact of Research Results for Society: The 4th International Conference on Computer Science and Computational Intelligence, 2019