Jesslyn Trixie Edvilie
Software engineer focused on iOS, with an AI research background.
Selected work
Publications
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Cross-Output Saliency Comparison for Multi-Output Image Regression in Nutritional Estimation
Compared four explanation methods (Grad-CAM, SHAP, LIME, Chefer) on ResNet-50 and ViT-B/16 models that predict several nutrition values from one food photo. LIME separated the outputs most; Chefer barely changed between them.
Paper link coming soon -
Enhancing Decision Tree Performance through Stacking Ensemble Learning for Sentiment Analysis
Decision trees are easy to interpret but weak at sentiment analysis on their own. On IMDB movie reviews, stacking a decision tree with an SVM raised accuracy from 73.46% to 88.08%.
Read the paper →
About
I'm Jesslyn, a final-year Computer Science student at BINUS University and an iOS developer at the Apple Developer Academy. I chose the AI specialization to understand how AI works, which led to two published papers, but building apps is where I found my focus.
I taught myself Mandarin from zero in high school. Glozi is the app I wish I'd had back then.
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Open to work in iOS, software engineering and AI.