Gregorius Natanael Elwirehardja

According to our database, Gregorius Natanael Elwirehardja authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

Corrigendum to "Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches" [Comput. Electron. Agric. 188 (2021) 106359].

Gregorius Natanael Elwirehardja, Jonathan Sebastian Prayoga, Suharjito

Comput. Electron. Agric., April, 2023

Machine Learning Implementations in Childhood Stunting Research: A Systematic Literature Review.

Reza Rahutomo, Gregorius Natanael Elwirehardja, Mahmud Isnan, Faisal Asadi, Bens Pardamean

Proceedings of the International Conference on Information Management and Technology, 2023

Sentiment Analysis for TikTok Review Using VADER Sentiment and SVM Model.

Mahmud Isnan, Gregorius Natanael Elwirehardja, 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

Determining Variables Associated with Annual Oil Palm Yield: An Explainable Gradient Boosting Approach.

Gregorius Natanael Elwirehardja, Teddy Suparyanto, Miftakhurrokhmat, 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

2022

Counting people inside a region-of-interest in CCTV footage with deep learning.

Bens Pardamean, Faizal Abid, Tjeng Wawan Cenggoro, Gregorius Natanael Elwirehardja, Hery Harjono Muljo

PeerJ Comput. Sci., 2022

Data Mining for the Global Multiplex Weekly Average Income Analysis.

Nicholas Dominic, Gregorius Natanael Elwirehardja, Bens Pardamean

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches.

Suharjito, Gregorius Natanael Elwirehardja, Jonathan Sebastian Prayoga

Comput. Electron. Agric., 2021