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From the 1 of 33 linked papers with an AI index.

activity
20242026
collaborators

33 papers

cs.CV2026

VideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running

Luis F. Gomez, Julian Fierrez, Roberto Daza +5

Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments h…

cs.AI2026

CrimeNER Demo: Named-Entity Recognition in the Crime Domain

Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7

The paper introduces CrimeNER Demo, an AI-driven platform that extracts and classifies crime-related entities from documents using pretrained and user‑fine‑tuned NER models.

cs.CV2026

Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision

Ignacio Serna, Aythami Morales, Julian Fierrez

This study investigates the presence and propagation of bias within Neural Networks through a comprehensive multi-level analysis spanning the learned latent space, layer activation…

cs.CL2026

Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset

Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7

The extraction of critical information from crime-related documents is a crucial task for law enforcement agencies. The extraction of this information can be interpreted as a Named…

cs.HC2026

Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases

Julian Fierrez, Alejandro Peña, Aythami Morales +13

Fatigue, sleep, or disturbances in daily activities are common symptoms among patients with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). The…

cs.CV2026

Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2

Daniel DeAlcala, Gonzalo Mancera, Julian Fierrez +3

We present the Membership Inference Test (MINT) Demo 2, a framework designed to improve transparency in machine learning training processes. MINT is a technique for experimentally…