17 citations · 28 across the 21 of their papers we have counts for
23 papers
EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations
Javier Irigoyen, Roberto Daza, Aythami Morales +4
This work introduces EduEVAL-DB, a dataset based on teacher roles designed to support the evaluation and training of automatic pedagogical evaluators and AI tutors for instructiona…
Membership Inference Test: Auditing Training Data in Object Classification Models
Gonzalo Mancera, Daniel DeAlcala, Aythami Morales +2
In this research, we analyze the performance of Membership Inference Tests (MINT), focusing on determining whether given data were utilized during the training phase, specifically…
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning
Daniel DeAlcala, Aythami Morales, Julian Fierrez +3
Active Membership Inference Test (aMINT) is a method designed to detect whether given data were used during the training of machine learning models. In Active MINT, we propose a no…
Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)
Javier Muñoz-Haro, Ruben Tolosana, Julian Fierrez +2
Remote user verification in Internet-based applications is becoming increasingly important nowadays. A popular scenario for it consists of submitting a picture of the user's Identi…
AttZoom: Attention Zoom for Better Visual Features
Daniel DeAlcala, Aythami Morales, Julian Fierrez +1
We present Attention Zoom, a modular and model-agnostic spatial attention mechanism designed to improve feature extraction in convolutional neural networks (CNNs). Unlike tradition…
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
Gonzalo Mancera, Aythami Morales, Julian Fierrez +5
The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased significantly in recent years, especially since the emergence of Large Language Model…
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kien Nguyen, Clinton Fookes, Sridha Sridharan +20
Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applications. Although significant progres…
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
Alvaro Becerra, Roberto Daza, Ruth Cobos +3
This work investigates the use of multimodal biometrics to detect distractions caused by smartphone use during tasks that require sustained attention, with a focus on computer-base…
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
Alejandro Peña, Julian Fierrez, Aythami Morales +3
The use of language technologies in high-stake settings is increasing in recent years, mostly motivated by the success of Large Language Models (LLMs). However, despite the great p…
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics
Imanol Solano, Julian Fierrez, Aythami Morales +4
Demographic bias in high-performance face recognition (FR) systems often eludes detection by existing metrics, especially with respect to subtle disparities in the tails of the sco…
Comparison of Visual Trackers for Biomechanical Analysis of Running
Luis F. Gomez, Gonzalo Garrido-Lopez, Julian Fierrez +4
Human pose estimation has witnessed significant advancements in recent years, mainly due to the integration of deep learning models, the availability of a vast amount of data, and…
Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs
Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +3
The automatic analysis of document layouts in digital-born PDF documents remains a challenging problem due to the heterogeneous arrangement of textual and nontextual elements and t…
Exploiting Multiple Representations: 3D Face Biometrics Fusion with Application to Surveillance
Simone Maurizio La Cava, Roberto Casula, Sara Concas +5
3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to the limits and characteristics of the different application scenarios. In this study, we inve…
FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection
Javier Muñoz-Haro, Ruben Tolosana, Ruben Vera-Rodriguez +2
Verifying the authenticity of identity documents (IDs) has become a critical challenge for real-life applications such as digital banking, crypto-exchanges, renting, etc. This stud…
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
Alvaro Becerra, Roberto Daza, Ruth Cobos +2
We present a demonstration of a web-based system called M2LADS ("System for Generating Multimodal Learning Analytics Dashboards"), designed to integrate, synchronize, visualize, an…
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs
Gonzalo Mancera, Daniel DeAlcala, Julian Fierrez +2
This work adapts and studies the gradient-based Membership Inference Test (gMINT) to the classification of text based on LLMs. MINT is a general approach intended to determine if g…
MINT-Demo: Membership Inference Test Demonstrator
Daniel DeAlcala, Aythami Morales, Julian Fierrez +3
We present the Membership Inference Test Demonstrator, to emphasize the need for more transparent machine learning training processes. MINT is a technique for experimentally determ…
SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality
Roberto Daza, Lin Shengkai, Aythami Morales +2
This work introduces SMARTe-VR, a platform for student monitoring in an immersive virtual reality environment designed for online education. SMARTe-VR aims to collect data for adap…
A multimodal dataset for understanding the impact of mobile phones on remote online virtual education
Roberto Daza, Alvaro Becerra, Ruth Cobos +2
This work presents the IMPROVE dataset, a multimodal resource designed to evaluate the effects of mobile phone usage on learners during online education. It includes behavioral, bi…
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…
Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance
Simone Maurizio La Cava, Sara Concas, Ruben Tolosana +5
3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios. These assumptions limit their use when acquisition conditions…
VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics
Gonzalo Garrido-Lopez, Luis F. Gomez, Julian Fierrez +4
Sprinting is a determinant ability, especially in team sports. The kinematics of the sprint have been studied in the past using different methods specially developed considering hu…
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
Imanol Solano, Alejandro Peña, Aythami Morales +4
We present a novel metric designed, among other applications, to quantify biased behaviors of machine learning models. As its core, the metric consists of a new similarity metric b…