Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Cross-Language Taint Analysis: Generating Caller-Sensitive Native Code Specification for Java

Abstract: Cross-language programming is a common practice within the software development industry, offering developers a multitude of advantages such as expressiveness, interoperability, and ...
GitHub

Evaluating Large Language Models using LLM-as-a-Judge

Evaluating large language models (LLM) is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To address this, strong LLMs are used as ...
IEEE

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models

Abstract: Evaluating large language models (LLMs) presents unique challenges. While automatic side-by-side evaluation, also known as LLM-as-a-judge, has become a promising solution, model developers ...
jmg.bmj

Analysis of muscle and blood RNA samples from patients with myotonic dystrophy type 1 reveals the presence of new mis-splicing biomarkers of disease severity

Background Myotonic dystrophy type 1 (DM1) is a multisystem disorder with autosomal dominant inheritance, caused by the abnormal expansion of the CTG triplet in the DMPK gene. Biomarker discovery in ...