9 papers
Conversational versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and Reliance
Cong Chi Nguyen, Trang Mai Xuan, Vu-Duc Ngo +3
Machine learning-based Intrusion Detection Systems (IDS) have demonstrated superior performance in securing Unmanned Aerial Vehicle (UAV) networks. However, the 'black-box' nature…
Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs
Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5
The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited interpretability and the hall…
CrossSpine: Multi-scale Cross-sequence Attention with Anatomical Priors for Automated Pfirrmann Grading
Hai Son Nguyen, Duong Ngoc Vu, Trong-Nghia Nguyen +5
Automated grading of Lumbar Disc Degeneration is essential for the objective quantification of structural changes associated with low back pain. Observing that baseline models unde…
PhenSPINE: A Standardized Benchmark for Spine Pathology Diagnosis
Duong Ngoc Vu, Hai Son Nguyen, Trong-Nghia Nguyen +4
The accurate diagnosis of spinal pathologies depends heavily on radiological interpretation, yet automated systems are hindered by the lack of diverse, high-quality benchmarks. In…
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
Huu Tuong Tu, Hanh Nguyen, Thien Van Luong +3
Mispronunciation Detection and Diagnosis (MDD) has gained increasing importance in computer-assisted language learning and speech technology in recent years. In this paper, we prop…
MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models
Tung Duong Ta, Tim Oates, Thien Van Luong +2
Despite advances in mathematical reasoning capabilities, Large Language Models (LLMs) still struggle with calculation verification when using established prompting techniques. We p…