9 citations · 11 across the 4 of their papers we have counts for
4 papers
Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
Alif Tri Handoyo, Vincent C. S. Lee, Rizka Widyarini Purwanto +3
Automatically mapping and segmenting global mining footprints using remote sensing and deep learning is critical for monitoring the socio-environmental risks and impacts of mining,…
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings
Muhammad Amien Ibrahim, Alif Tri Handoyo, Maria Susan Anggreainy
Limited public understanding of legal processes and inconsistent verdicts in the Indonesian court system led to widespread dissatisfaction and increased stress on judges. This stud…
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese
Panji Arisaputra, Alif Tri Handoyo, Amalia Zahra
This research paper focuses on the development and evaluation of Automatic Speech Recognition (ASR) technology using the XLS-R 300m model. The study aims to improve ASR performance…
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
Alif Tri Handoyo, Hidayaturrahman, Derwin Suhartono
Sarcasm is the use of words usually used to either mock or annoy someone, or for humorous purposes. Sarcasm is largely used in social networks and microblogging websites, where peo…