Dự án nghiên cứu khoa học sinh viên HVNH 2024 - 2025

I built Sentiment Analysis models leveraging a deep learning approach utilizing the customer reviews of Amazon products. Since Long Short Term Memory Network (LSTM) is very effective in dealing with long sequence data and learning long-term dependencies, I used it for automatic sentiment classification of future product reviews.

A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE

Imbalanced classification with scikit-learn and PyTorch Lightning.

Effective deep learning approaches for animal classification.

Predicting liver cirrhosis outcomes using machine learning models based on clinical data.

Building a Convolutional Neural Network on a smaller sample of chest X-ray dataset

deep learning model to classify x-ray

Adaptive Mix-Up for Highly Imbalanced Medical Image Classification