7 papers
FSS-UBrain: Multi-region Few-Shot Brain Tumor MRI Segmentation
Truong Viet Vu, Nguyen Phuc Nguyen, Dang Thi Thu Hang +4
Accurate delineation of whole tumor (WT), tumor core (TC), and enhancing tumor (ET) from multimodal magnetic resonance imaging remains challenging under limited annotation, cross-c…
How Far Can Sub-3B Open Language Models Go in Zero-Shot Essay Scoring on an 8 GB Consumer GPU?
Nguyen Dung Son, Dang Quang Minh, Nguyen Huu Loi +2
Zero-shot essay scoring with large language models is usually demonstrated with proprietary API models, yet the settings where automated scoring is most needed, such as public scho…
Accuracy Is Not Enough: A Cross-Architecture Audit of Demographic Bias in Deep Knowledge Tracing
Dang Quang Minh, Nguyen Dung Son, Nguyen Huu Loi +2
Deep knowledge tracing (DKT) models implicitly decide which students an adaptive system believes have mastered a skill, yet almost all evidence on their demographic fairness comes…
Stability of Finite-Batch Particle Mean-Field Variational Inference Beyond Strong Convexity
Vinh Nguyen, Truong Vu
We study the implementable finite-batch particle algorithm for mean-field variational inference as a fully discrete stochastic approximation of the projected Wasserstein dynamics.…
Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension
Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2
The Naive Bayes (NB) classifier remains a standard choice for categorical data, yet its widely used smoothing rules, such as Laplace, Lidstone, Krichevsky-Trofimov, and the -est…
When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines
Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu +4
Single-cell ribonucleic acid sequencing (scRNA-seq) is a foundational technology for precision-medicine workflows that contribute to United Nations Sustainable Development Goal 3 o…
ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification
Le Huu Son Hai, Nguyen Chi Hai, Truong Viet Vu +3
Motor imagery (MI)-based electroencephalography is widely used in non-invasive brain--computer interfaces (BCIs), but robust decoding remains challenging due to inter-subject varia…