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ORCIDTjeng Wawan Cenggoro
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2020 – today
- 2024
[c16]Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Rifki Afina Putri, Tjeng Wawan Cenggoro, Jhonson Lee, Salsabil Maulana Akbar, Emmanuel Dave, Nuur Shadieq, Muhammad Ihza Mahendra, Dea Annisayanti Putri, Bryan Wilie, Genta Indra Winata, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung:
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages. ACL (1) 2024: 14899-14914- [i4]Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Rifki Afina Putri
, Emmanuel Dave, Jhonson Lee, Nuur Shadieq, Tjeng Wawan Cenggoro, Salsabil Maulana Akbar, Muhammad Ihza Mahendra, Dea Annisayanti Putri, Bryan Wilie, Genta Indra Winata, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung:
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages. CoRR abs/2404.06138 (2024) - 2023
- [c15]Kartika Purwandari, Join W. C. Sigalingging, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro, Bens Pardamean:
Implementation of Computer Vision of Jakarta Weather Image Categorization Using ResNet. ICCSCI 2023: 813-822 - [c14]Bharuno Mahesworo, Tjeng Wawan Cenggoro, Favorisen Rosyking Lumbanraja, Bens Pardamean:
Standard Multi-Layer Perceptron on Positive - Unlabeled Glycosylation Site Dataset. ICCSCI 2023: 833-839 - [c13]Fergyanto E. Gunawan, Arief S. Budiman, Bens Pardamean, Endang Juana, Sugiarto Romeli, Tjeng Wawan Cenggoro, Kartika Purwandari, Alam A. Hidayat, Anak Agung Ngurah Perwira Redi, Muhammad Asrol:
Multivariate Time-Series Deep Learning for Joint Prediction of Temperature and Relative Humidity in a Closed Space. ICCSCI 2023: 1046-1053 - [c12]Nicholas Dominic, Tjeng Wawan Cenggoro, Bens Pardamean:
Systematic Literature Review on Statistics and Machine Learning Predictive Models for Rice Phenotypes. ICCSCI 2023: 1054-1061 - [c11]Daniel, Nicholas Dominic, Tjeng Wawan Cenggoro, Bens Pardamean:
Machine Learning Approaches in Detecting Autism Spectrum Disorder. ICCSCI 2023: 1070-1076 - [c10]Aldrian Kwantawijaya, Daniel Stephanus Najoan, Tamimmanar, Tjeng Wawan Cenggoro:
On the Measurement of the Inductive Bias Impact in Convolutional Neural Networks Training for Single Image Super-Resolution. ICCSCI 2023: 1086-1092 - [c9]Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Dea Adhista, Emmanuel Dave, Sarah Oktavianti, Salsabil Maulana Akbar, Jhonson Lee, Nuur Shadieq, Tjeng Wawan Cenggoro, Hanung Wahyuning Linuwih, Bryan Wilie, Galih Pradipta Muridan, Genta Indra Winata, David Moeljadi, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung:
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages. IJCNLP (1) 2023: 921-945 - [i3]Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Dea Adhista, Emmanuel Dave, Sarah Oktavianti, Salsabil Maulana Akbar, Jhonson Lee, Nuur Shadieq, Tjeng Wawan Cenggoro, Hanung Wahyuning Linuwih, Bryan Wilie, Galih Pradipta Muridan, Genta Indra Winata, David Moeljadi, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung:
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages. CoRR abs/2309.10661 (2023) - 2022
- [j10]Bens Pardamean, Teddy Suparyanto, Tjeng Wawan Cenggoro, Digdo Sudigyo, Andri Anugrahana:
AI-Based Learning Style Prediction in Online Learning for Primary Education. IEEE Access 10: 35725-35735 (2022) - [j9]Kahlil Muchtar, Al Bahri, Maya Fitria, Tjeng Wawan Cenggoro, Bens Pardamean, Adhiguna Mahendra, Muhammad Rizky Munggaran, Chih-Yang Lin:
Moving Pedestrian Localization and Detection With Guided Filtering. IEEE Access 10: 89181-89196 (2022) - [j8]Hery Harjono Muljo, Anzaludin Samsinga Perbangsa, Tjeng Wawan Cenggoro, Kartika Purwandari, Digdo Sudigyo, Bens Pardamean:
Database System for Storing Tuberculosis Sputum Sample Images as an AI Training Dataset. Int. J. Online Biomed. Eng. 18(15): 109-121 (2022) - [j7]Ivan William Harsono, Suryadiputra Liawatimena, Tjeng Wawan Cenggoro:
Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning. J. King Saud Univ. Comput. Inf. Sci. 34(3): 567-577 (2022) - [j6]Bens Pardamean, Faizal Abid, Tjeng Wawan Cenggoro, Gregorius Natanael Elwirehardja, Hery Harjono Muljo:
Counting people inside a region-of-interest in CCTV footage with deep learning. PeerJ Comput. Sci. 8: e1067 (2022) - 2021
- [j5]Harjanto Prabowo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro, Reza Rahutomo, Kartika Purwandari, Bens Pardamean:
Aggregating Time Series and Tabular Data in Deep Learning Model for University Students' GPA Prediction. IEEE Access 9: 87370-87377 (2021) - [j4]Favorisen Rosyking Lumbanraja, Bharuno Mahesworo, Tjeng Wawan Cenggoro, Digdo Sudigyo, Bens Pardamean:
SSMFN: a fused spatial and sequential deep learning model for methylation site prediction. PeerJ Comput. Sci. 7: e683 (2021) - [c8]Kahlil Muchtar, Khairun Saddami, Akhyar Bintang, Tjeng Wawan Cenggoro, Bens Pardamean, Chih-Yang Lin, Tia Ernita:
Lightweight Pedestrian Detection through Guided Filtering and Deep Learning. GCCE 2021: 629-630 - 2020
- [j3]Hery Harjono Muljo, Bens Pardamean, Anzaludin Samsinga Perbangsa, Yulius Lie, Kartika Purwandari, Bharuno Mahesworo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro:
TAM as a Model to Understand the Intention of Using a Mobile-based Cancer Early Detection Learning Application. Int. J. Online Biomed. Eng. 16(2): 80-93 (2020) - [i2]Albert Susanto, Herman, Tjeng Wawan Cenggoro, Suharjito, Bens Pardamean:
Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images. CoRR abs/2004.07136 (2020)
2010 – 2019
- 2019
- [j2]Bens Pardamean, Hery Harjono Muljo, Tjeng Wawan Cenggoro, Bloomest Jansen Chandra, Reza Rahutomo:
Using transfer learning for smart building management system. J. Big Data 6: 110 (2019) - [c7]Favorisen Rosyking Lumbanraja, Bharuno Mahesworo, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean:
An Evaluation of Deep Neural Network Performance on Limited Protein Phosphorylation Site Prediction Data. ICCSCI 2019: 25-30 - [c6]Tjeng Wawan Cenggoro, Ayu Hidayah Aslamiah, Ardian Yunanto:
Feature Pyramid Networks for Crowd Counting. ICCSCI 2019: 175-182 - [c5]Muhamad Fitra Kacamarga, Tjeng Wawan Cenggoro, Arif Budiarto, Reza Rahutomo, Bens Pardamean:
Analysis of Acoustic Features in Gender Identification Model for English and Bahasa Indonesia Telephone Speeches. ICCSCI 2019: 199-204 - [c4]Tjeng Wawan Cenggoro, Bharuno Mahesworo, Arif Budiarto, James W. Baurley, Teddy Suparyanto, Bens Pardamean:
Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia. ICCSCI 2019: 313-320 - 2018
- [j1]Harjanto Prabowo, Tjeng Wawan Cenggoro, Arif Budiarto, Anzaludin S. Perbangsa, Hery Harjono Muljo, Bens Pardamean:
Utilizing Mobile-based Deep Learning Model for Managing Video in Knowledge Management System. Int. J. Interact. Mob. Technol. 12(6): 62-73 (2018) - [c3]Fanny, Tjeng Wawan Cenggoro:
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network. ICCSCI 2018: 60-67 - [c2]Bens Pardamean, Tjeng Wawan Cenggoro, Reza Rahutomo, Arif Budiarto, Ettikan Kandasamy Karuppiah:
Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data. ICCSCI 2018: 400-407 - [c1]Kahlil Muchtar, Faris Rahman, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean:
An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter. ICCSCI 2018: 579-586 - [i1]Fanny, Tjeng Wawan Cenggoro:
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network. CoRR abs/1807.04585 (2018)
Coauthor Index
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