Tjeng Wawan Cenggoro
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Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
IW Harsono, S Liawatimena, TW Cenggoro
Journal of King Saud University-Computer and Information Sciences 34 (3 …, 2022
Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data
B Pardamean, TW Cenggoro, R Rahutomo, A Budiarto, EK Karuppiah
Procedia Computer Science 135, 400-407, 2018
Convolutional Neural Networks for Scops Owl Sound Classification
AA Hidayat, TW Cenggoro, B Pardamean
Procedia Computer Science 179, 81-87, 2021
Artificial Intelligence Model Implementation in Web-Based Application for Pineapple Object Counting
R Rahutomo, AS Perbangsa, Y Lie, TW Cenggoro, B Pardamean
2019 International Conference on Information Management and Technology …, 2019
An Evaluation of Deep Neural Network Performance on Limited Protein Phosphorylation Site Prediction Data
FR Lumbanraja, B Mahesworo, TW Cenggoro, A Budiarto, B Pardamean
Procedia Computer Science 157, 25-30, 2019
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network
Fanny, TW Cenggoro
Procedia Computer Science 135, 60-67, 2018
A systematic literature review of machine learning application in COVID-19 medical image classification
TW Cenggoro, B Pardamean
Procedia Computer Science 216, 749-756, 2023
Multi-class Weather Forecasting from Twitter Using Machine Learning Aprroaches
K Purwandari, JWC Sigalingging, TW Cenggoro, B Pardamean
Procedia Computer Science 179, 47-54, 2021
Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia
TW Cenggoro, B Mahesworo, A Budiarto, J Baurley, T Suparyanto, ...
Procedia Computer Science 157, 313-320, 2019
Information System Design for Deep Learning Based Plant Counting Automation
TW Cenggoro, A Budiarto, R Rahutomo, B Pardamean
2018 Indonesian Association for Pattern Recognition International Conference …, 2018
Classification of imbalanced land-use/land-cover data using variational semi-supervised learning
TW Cenggoro, SM Isa, GP Kusuma, B Pardamean
2017 International Conference on Innovative and Creative Information …, 2017
Using transfer learning for smart building management system
B Pardamean, HH Muljo, TW Cenggoro, BJ Chandra, R Rahutomo
Journal of Big Data 6, 1-12, 2019
Transfer learning using inception-ResNet-v2 model to the augmented neuroimages data for autism spectrum disorder classification
N Dominic, TW Cenggoro, A Budiarto, B Pardamean
Commun. Math. Biol. Neurosci. 2021, Article ID 39, 2021
AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber
RR Harsawardana, B Mahesworo, T Wawan, B Samoedro, B Pardamean
IOP Conference Series: Earth and Environmental Science Paper 426, 2020
AI-Based Learning Style Prediction in Online Learning for Primary Education
B Pardamean, T Suparyanto, TW Cenggoro, D Sudigyo, A Anugrahana
IEEE Access 10, 35725-35735, 2022
Deep Learning as a Vector Embedding Model for Customer Churn
TW Cenggoro, RA Wirastari, E Rudianto, MI Mohadi, D Ratj, ...
Procedia Computer Science 179, 624-631, 2021
A Design of Deep Learning Experimentation for Fruit Freshness Detection
F Valentino, TW Cenggoro, B Pardamean
IOP Conference Series: Earth and Environmental Science 794 (1), 012110, 2021
Genetic risk factors for colorectal cancer in multiethnic Indonesians
I Yusuf, B Pardamean, JW Baurley, A Budiarto, UA Miskad, RE Lusikooy, ...
Scientific reports 11 (1), 9988, 2021
Unsupervised News Topic Modelling with Doc2Vec and Spherical Clustering
A Budiarto, R Rahutomo, HN Putra, TW Cenggoro, MF Kacamarga, ...
Procedia Computer Science 179, 40-46, 2021
An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter
K Muchtar, F Rahman, TW Cenggoro, A Budiarto, B Pardamean
Procedia Computer Science 135, 579-586, 2018
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