Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network. - Fanny; Tjeng Wawan Cenggoro (ICCSCI, 2018)

An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter. - Kahlil Muchtar; Faris Rahman; Tjeng Wawan Cenggoro; Arif Budiarto; Bens Pardamean (ICCSCI, 2018)

Transfer Learning from Chest X-Ray Pre-trained Convolutional Neural Network for Learning Mammogram Data. - Bens Pardamean; Tjeng Wawan Cenggoro; Reza Rahutomo; Arif Budiarto; Ettikan Kandasamy Karuppiah (ICCSCI, 2018)

Utilizing Mobile-based Deep Learning Model for Managing Video in Knowledge Management System. - Harjanto Prabowo; Tjeng Wawan Cenggoro; Arif Budiarto; Anzaludin S. Perbangsa; Hery Harjono Muljo; Bens Pardamean (Int. J. Interact. Mob. Technol., 2018)

Feature Pyramid Networks for Crowd Counting. - Tjeng Wawan Cenggoro; Ayu Hidayah Aslamiah; Ardian Yunanto (ICCSCI, 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 (ICCSCI, 2019)

Analysis of Acoustic Features in Gender Identification Model for English and Bahasa Indonesia Telephone Speeches. - Muhamad Fitra Kacamarga; Tjeng Wawan Cenggoro; Arif Budiarto; Reza Rahutomo; Bens Pardamean (ICCSCI, 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 (ICCSCI, 2019)

Using transfer learning for smart building management system. - Bens Pardamean; Hery Harjono Muljo; Tjeng Wawan Cenggoro; Bloomest Jansen Chandra; Reza Rahutomo (J. Big Data, 2019)

Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images. - Albert Susanto; Herman; Tjeng Wawan Cenggoro; Suharjito; Bens Pardamean (CoRR, 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)

Lightweight Pedestrian Detection through Guided Filtering and Deep Learning. - Kahlil Muchtar; Khairun Saddami; Akhyar Bintang; Tjeng Wawan Cenggoro; Bens Pardamean; Chih-Yang Lin; Tia Ernita (GCCE, 2021)

Aggregating Time Series and Tabular Data in Deep Learning Model for University Students' GPA Prediction. - Harjanto Prabowo; Alam Ahmad Hidayat; Tjeng Wawan Cenggoro; Reza Rahutomo; Kartika Purwandari; Bens Pardamean (IEEE Access, 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)

Moving Pedestrian Localization and Detection With Guided Filtering. - Kahlil Muchtar; Al Bahri; Maya Fitria; Tjeng Wawan Cenggoro; Bens Pardamean; Adhiguna Mahendra; Muhammad Rizky Munggaran; Chih-Yang Lin (IEEE Access, 2022)

AI-Based Learning Style Prediction in Online Learning for Primary Education. - Bens Pardamean; Teddy Suparyanto; Tjeng Wawan Cenggoro; Digdo Sudigyo; Andri Anugrahana (IEEE Access, 2022)

Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning. - Ivan William Harsono; Suryadiputra Liawatimena; Tjeng Wawan Cenggoro (J. King Saud Univ. Comput. Inf. Sci., 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)

Database System for Storing Tuberculosis Sputum Sample Images as an AI Training Dataset. - Hery Harjono Muljo; Anzaludin Samsinga Perbangsa; Tjeng Wawan Cenggoro; Kartika Purwandari; Digdo Sudigyo; Bens Pardamean (Int. J. Online Biomed. Eng., 2022)

Machine Learning Approaches in Detecting Autism Spectrum Disorder. - Daniel; Nicholas Dominic; Tjeng Wawan Cenggoro; Bens Pardamean (ICCSCI, 2023)

Systematic Literature Review on Statistics and Machine Learning Predictive Models for Rice Phenotypes. - Nicholas Dominic; Tjeng Wawan Cenggoro; Bens Pardamean (ICCSCI, 2023)

Multivariate Time-Series Deep Learning for Joint Prediction of Temperature and Relative Humidity in a Closed Space. - 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 (ICCSCI, 2023)

On the Measurement of the Inductive Bias Impact in Convolutional Neural Networks Training for Single Image Super-Resolution. - Aldrian Kwantawijaya; Daniel Stephanus Najoan; Tamimmanar; Tjeng Wawan Cenggoro (ICCSCI, 2023)

Standard Multi-Layer Perceptron on Positive - Unlabeled Glycosylation Site Dataset. - Bharuno Mahesworo; Tjeng Wawan Cenggoro; Favorisen Rosyking Lumbanraja; Bens Pardamean (ICCSCI, 2023)

Implementation of Computer Vision of Jakarta Weather Image Categorization Using ResNet. - Kartika Purwandari; Join W. C. Sigalingging; Alam Ahmad Hidayat; Tjeng Wawan Cenggoro; Bens Pardamean (ICCSCI, 2023)

NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages. - 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; et al. (IJCNLP (1), 2023)

Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages. - 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; et al. (ACL (1), 2024)