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We received a total of 115 submissions, of which 67 were accepted for presentation, representing a 58% acceptance rate. 36 papers will be presented in an Oral Session and 31 in a Poster Session.

Oral Presentation

A Geometric and Morphometric Methodology for Evaluating Low-Cost 3D Facial Acquisition and Reconstruction Techniques

Álvaro Heredia-Lidón, Alejandro Moñux-Bernal, Alejandro González, Luis M. Echeverry-Quiceno, Mireia Andreu-Montoriol, Susanna Gallardo, Aroa Casado, María Esther Esteban, Neus Martínez-Abadías, Xavier Sevillano

Abnormal Human Behaviour Detection using Normalising Flows and Attention Mechanisms

Ana Filipa Rodrigues Nogueira, Hélder P. Oliveira, Luís F. Teixeira

Federated Learning for Secure and Privacy-Preserving Facial Recognition: Advances, Challenges, and Research Directions

Ajnas Muhammed, João Marcos, Nuno Gonçalves

Multi-scale Temporal Pose analysis for Gait Recognition

Nicolás Cubero, Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez

Pseudo-MOS Learning: A Hybrid Full-to-No-Reference FIQA Framework

André Neto, Nuno Gonçalves

Writer Identification using Simplified Handwritten Text Recognition Models

Alejandro H. Toselli, Álvaro Cuéllar, Sònia Boadas, Enrique Vidal, Joan Andreu Sánchez

A Machine Learning Method for Authentication of Human Ancient Mitochondrial DNA

Denis Yamunaque, Armando J. Pinho, Antti Sajantila, Diogo Pratas

A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks

Maryam Abbasi, Verónica Vasconcelos, Edgar M. C. O. S. Vicente, Ana L. M. Santos, Joel P. Arrais

AI-based system for assistance in minimally invasive renal procedures using Mixed Reality. First steps.

Emilio Delgado, Daniel Caballero, Lucía Salazar-Carrasco, Ignacio Sánchez-Varo, Jesús León-Regalado, Juan A. Sánchez-Margallo, Roberto Rodríguez-Echeverria, Francisco M. Sánchez-Margallo

Exploiting Generative Models for Downstream Classification Tasks on Latent Spaces using 3D Brain MRI Scans: a Down Syndrome Case Study

Jordi Malé, Juan Fortea, Martínez-Abadías, Mateus Rozalem-Aranha, Xavier Sevillano

Multitask Learning Approach for Foveal Avascular Zone Segmentation in OCTA Images

Tânia Melo, Ângela Carneiro, Aurélio Campilho, Ana Maria Mendonça

VesselView: A CNN for Segmentation of Vessels in High-Resolution Retinal Fundus Images

Roi Santos-Mateos, Alexander Velev-Santos, Xosé M. Pardo

A New Subgraph Extraction Algorithm through a Kinship Approach for Link Prediction in Knowledge Graphs

Carla Piñol, Manuel Curado, Jose F. Vicent, Antonio J. Banegas-Luna

Large Language Models for Interactive Machine Translation

Sergio Gómez González, Miguel Domingo, Ángel Navarro, Francisco Casacuberta

Multi-Hop Pooling: Leveraging Transition Matrices for Hierarchical Graph Representation Learning

Ahmed Begga, Francisco Escolano, Miguel Angel Lozano

Node Representation Diversity via Entropy Maximization in Graph Neural Networks

Ahmed Begga, Francisco Escolano, Miguel Angel Lozano

Causal-SHAP: Feature Selection with Explainability and Causal Analysis

Asmae Lamsaf, Pranita Samale, João C. Neves

Impact of label-level noise on multi-label learning: a case study on the k-Nearest Neighbor classifier

Antonio Requena, Antonio Javier Gallego, and Jose J. Valero-Mas

Learning to Detect and Describe a Wireframe

Iván Ferre, Luis Baumela, Iago Suárez

Using LoRA and Reinforcement Learning In Interactive Machine Translation

Ángel Navarro, Francisco Casacuberta

Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability

Leonardo Capozzi, Leonardo Ferreira, Tiago Gonçalves, Ana Rebelo, Jaime S. Cardoso, Ana F. Sequeira

Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration

Azim Akhtarshenas, Ramin Toosi, David López-Pérez, Tohid Alizadeh, Alireza Hosseini

On the Correction of GFS Wind Speed Forecasts in Portugal Using LSTM Networks

Vasco Gomes, David Carvalho, Sónia Gouveia

Statistical Downscaling of Wind Speed in the Iberian Peninsula Using Machine Learning

João Vieitas, José Contente, David Carvalho, Sónia Gouveia

Using gait to monitor health: an experimental baseline

Jorge Zafra-Palma, Nuria Marín-Jiménez, José Castro-Piñero, Magdalena Cuenca-García, Rafael Muñoz-Salinas, Manuel J. Marín-Jimenez

Zipf 's Curves of Plainchant Melodies

Aitana Menárguez-Box, Enrique Vidal, Alejandro H. Toselli

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation

Rui Daniel, M. Rita Verdelho, Catarina Barata, Carlos Santiago

Informed decision making strategy for resampling in pain assessment

Miguel Carvalho, Daniela Pais, Raquel Sebastião, Armando Pinho, Susana Brás

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning

Maria Rita Verdelho, Alexandre Bernadino, Catarina Barata

Prediction of 30-day hospital readmission with clinical notes and EHR information

Tiago Almeida, Plinio Moreno, Catarina Barata

A Spatial Dense CRF Framework for Post-Processing in Multispectral Image Segmentation

Wilgo Nunes, Gil Gonçalves, Cristiano Premebida

Enhancing Multi-Object Tracking with Segmentation Masks: A Solution for Lost Object Recovery

Manuel Bendaña, Lorenzo Vaquero, Victor M. Brea, Manuel Mucientes

Enriching Unbounded Appearances for Neural Radiance Fields

Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva

Estimating object physical properties from RGB-D vision and depth robot sensors using deep learning

Ricardo Pedreiras Cardoso, Plinio Moreno

Masking of Gaussian noise in color images: A psychophysical study of just-noticeable differences using synthetic image patches of different luminance value

Luis Miguel Calvo, Pedro Latorre-Carmona, Samuel Morillas, Rafael Huertas, Rafal Mantiuk

MixUDA: From Synthetic to Real Object Detection

Pablo Gil-Pérez, Daniel Cores, Manuel Mucientes

Poster Presentation

A continuous, differentiable, probability-expressed harm risk estimator for robot actions in dynamic human-centric environments

Andrey Solovov, Paulo Menezes

An Optimized Multi-class Classification for Industrial Control Systems

Ágata Palma, Mário Antunes, Ana Alves

Assessing Dimensionality Reduction on Driving Range Estimation

João Valido, David Albuquerque, Artur Ferreira, David Coutinho

Deformation-Aware Butterfly Tracking in Raw Spatio-Spectral Images

Erick Adjé, Arnaud Ahouandjinou, Gilles Delmaire, Probus Kiki, Gilles Roussel

ECG-Based Biometric Identification: An Exloratory Study Using Fingertip Signals Acquired With Solid-State Electrodes

Teresa M.C. Pereira, Raquel C. Conceição, Vitor Sencadas, Raquel Sebastião

Enhancing Medical Image Analysis: A Pipeline Combining Synthetic Image Generation and Super-Resolution

Pedro Sousa, Diogo Campas, João Andrade, Pedro Pereira, Tiago Gonçalves, Luís F. Teixeira, Tania Pereira, Hélder P. Oliveira

Fine-Grained Visual Classification of Antelope Species

Philipp Gruner, Maya Beukes, Vanessa Suessle, Matthias Biber, Martin Jansen, Elke Hergenröther, Andreas Weinmann

Image Transformation Sequence Retrieval with General Reinforcement Learning

Enrique Mas-Candela, Antonio Ríos-Vila, Jorge Calvo-Zaragoza

Mitigating Distribution Bias in Multimodal Datasets via Clustering-Based Curation

Mustapha El Aichouni, Lluis Gomez, Lei Kang

Optimizing Medical Image Captioning with Conditional Prompt Encoding

Rendson F. Fernandes, Hugo S. Oliveira, Pedro P. Ribeiro, Helder P. Oliveira

PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises

Rushiraj Gadhvi, Priyansh Desai, Siddharth

Quantum Computing in Prenatal Care: Enhancing Fetal Ultrasound Image Classification with Quantum Neural Networks

Asmae Zanbouaa, Nabila Zrira, Saad Slimani, Ibtissam Benmiloud, El Houssine Bouyakhf

Saliency-guided Emotion Modeling: Predicting Viewer Reactions from Video Stimuli

Akhila Yaragoppa, Siddharth

Subfield-Based 1-Attempt Parallel Thinning Algorithms on the Hexagonal Grid

Kálmán Palágyi

Towards a New Categorization of Models for Multivariate Time Series Anomaly Detection

Bruna Alves, Armando Pinho, Sónia Gouveia

Towards Event-Driven Evaluation of Surveillance Video Understanding using Natural Language

João Pereira, Vasco Lopes, João Neves, David Semedo

A Semi-automatic Annotation Framework for Neutrophil Ultrastructure from TEM images

Zahoor Ahmad, Mahmood Alzubaidi, Wared Nour-Eldine, Samia M. Ltaief, Jens Schneider, Abeer R. Al-Shammari, Marco Agus

AGE-US: automated gestational age estimation based on fetal ultrasound images

César Díaz-Parga, Marta Nuñez-Garcia, Maria J. Carreira, Gabriel Bernardino, Nicolás Vila-Blanco

Analysis of Behavioral Trends in Road Traffic Accidents: A Comparative Study Among Latin America, Australia and the UK

Diana Zepeda-Martínez, Angélica Guzmán-Ponce, R. María Valdovinos-Rosas, Carlos Robert Fonseca-Ortiz

Assessing Cross-Device Generalization in Remote Sensing Image Super-Resolution

Afonso Martins, Ana Dias, Francisco Silva, André Sá, Machiel Bos, João Neves

Capturing the Narrative: a Deep Learning Pipeline for Comics Sequences

Goncalo Marouvo, Francisco Pereira

ECOmpress: a web tool for boosting energy efficiency through data compression

Dinis Lei, Denis Yamunaque, Armando J. Pinho, Diogo Pratas

Enhancing IoMT security by using Benford’s law and distance functions

Pedro Fernandes, Séamus Ó Ciardhuáin, Mário Antunes

Gender Classification in Play Works Using BERT-based Models

Jaime Yefi-Verdugo, Raúl Peña-Ortiz, Verónica Romero

How LLMs See People

Carlos Roxo, João Marcos, Nuno Gonçalves

Lightweight SwinUNETR for Hepatic Segmentation

Marcos Fdez-González, Lois Nodar-Corral, Xose R. Fdez Vidal, Enrique Comesaña

Mitigating Overfitting in Fully Transformer Architectures for Handwritten Text Recognition

Carlos Penarrubia, Jose J. Valero-Mas, Jorge Calvo-Zaragoza

Mutual-Training Pseudo-Labeling Framework for Fire Segmentation

Antonio Antunovic, Davor Damjanovic, Matej Arlovic, Emmanuel Karlo Nyarko, Franko Hrzic, Josip Balen

On the Use of Implicit Representations for Deepfake Detection

Miguel Leão, Nuno Gonçalves

Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats

Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro

Uplift modeling for treatment effect estimation in the prostate cancer treatment landscape

Ana Rodrigues, Nuno Rodrigues, José Guilherme de Almeida, Ana Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Manolis Tsiknakis, Kostas Marias, Daniele Regge, ProCAncer-I Consortium, Nickolas Papanikolaou, Inês Domingues