🎤 Oral Presentation Guidelines
đź•’ Presentation Duration:
Prepare a 8-minute presentation using any template of your choice.
đź“§ Submission Deadline:
Send your presentation via email by December 9, 2025.
🌍 Presentation Language:
We encourage presenters to deliver their talk in English.
If you are not comfortable or have difficulties with the language, you may present in Spanish, but:
đź“‹ Slides must be in English.
đź“… Make sure to submit your presentation before the deadline.Â
đź“– Poster Presentation InstructionsÂ
🖼️ Size and Format:
Prepare an A0 size poster (84.1 x 118.9 cm) in portrait orientation.
🔍 Panel Identification:
Your poster panel will be identified by the number assigned to your paper in the program.
🛠️ Materials:
The organization will provide all necessary materials to secure your poster to the panel.
đź“… Don’t forget to check the program to find your assigned number.Â
✨Thank you for your cooperation, and good luck with your presentation!✨Â
List of accepted presentations
Antonio Manuel MartĂnez Heredia, Universidad de Málaga, Weak Supervision: A Survey on Predictive Maintenance.Â
Alejandro Moreo Fernández, Consiglio Nazionale delle Ricerche (CNR), Kernel density estimation for multiclass quantification.Â
Ignacio Peis, Technical University of Denmark (DTU), Hyper-Transforming Latent Diffusion Models.Â
Fernando Amodeo Zurbano, Universidad Pablo de Olavide, FROG: A new people detection dataset for knee-high 2D range finders.Â
Emilio Molina, BMAT Music Innovators, Enhanced television broadcast monitoring with source separation-assisted audio fingerprinting: A case study.Â
Luis Vidal Roldán, Universidad de Sevilla, Prediction of Olive Oil Quality Using Artificial Intelligence and Physicochemical Analysis.Â
Alvaro Gonzalez Jimenez, University Hospital of Basel, Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Jose Maria Manzano, Universidad Loyola Andalucia, Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas.Â
Raquel Fernández, University of Amsterdam, LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.Â
Jungnickel Robert, European Commission, Joint Researcher, The Role of Artificial Intelligence in Scientific Research - A Science for Policy, European Perspective.Â
Emilia Gomez, European Commission, Joint Researcher, Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation.Â
Manuel Marcelino Titos LuzĂłn, Universidad de Granada, Could seismo-volcanic catalogs be improved or created using weakly supervised approaches with pre-trained systems?
JesĂşs Moreno LeĂłn, Universidad de Sevilla, Investigating the Impact of Programming Activities on Computational Thinking and AI Literacy in Spanish Schools. Education.
Antonio RamĂrez de Arellano Marrero, Universidad de Sevilla, Echo Virus Machines.
Amelia Jiménez-Sánchez, Universitat de Barcelona, In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
Victor Toscano Durán, Universidad de Sevilla, Molecular Machine Learning Using Euler Characteristic Transforms.
Antonio Delgado Bejarano, Unicaja / Universidad de Sevilla, Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models.
Manuel Marcelino Titos LuzĂłn, Universidad de Granada, RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing.
Rosa RamĂrez de Arellano Marrero, Universidad de Sevilla, Life Cycle Assessment (LCA) in BIM environments. Interoperability between applications.
Alberto LĂłpez University of Oslo, iMML: A Python package for multi-modal learning with incomplete data.
Antonio Navas-Orozco, Universidad de Sevilla, Robustness in counterfactual analysis in classification and regression.
Carlos Mougan, European Commission, The Science and Practice of Proportionality in Systemic Risk Evaluations of General-Purpose AI.
Jose Maria Manzano, Universidad Loyola Andalucia, Data-driven spatio-temporal estimation of soil moisture and temperature based on Lipschitz interpolation.
Jose Manuel Camacho Rodriguez, ICMAT-CSIC, A cybersecurity risk analysis framework for systems with artificial intelligence components.
Francisco Javier GĂłmez Pulido, Universidad de Sevilla, Adversarial Attacks in Vision Deep Learning Models.
Javier Navarro Lázaro, Universidad de AlmerĂa, Problem-Based Learning by Building an Incremental Web Application.
Gabriel Guerrero-Contreras, University of Cadiz, Explainable Artificial Intelligence to Improve Interpretability in Predictive Mutation Testing.
Sara Balderas-DĂaz, Universidad de Cádiz, Explainable Artificial Intelligence for Audio-based Detection of Emergency Vehicles.
Adrián Moreno Muñoz, Universidad de Jaén, Subtle Shifts, Significant Threats: Leveraging XAI methods and LLMs to undermine Language Models Robustness.
Manuel Carlos DĂaz Galiano, Universidad de JaĂ©n, Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models.
M. Dolores Molina González, Universidad de Jaén, Overview of MentalRiskES at IberLEF 2025: Early Detection of Addiction Risk in Spanish.
Arturo Montejo-Ráez, Universidad de Jaén, An Empathic GPT-Based Chatbot to Talk About Mental Disorders With Spanish Teenagers.
Auxiliadora Sarmiento, Universidad de Sevilla, Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection.
Anastasiia Vestel, Saarland University, From "War" to "Special Military Operation": Interpretable Detection of Linguistic Propaganda Framing in Russian Media.Â
Guillermo Gil GarcĂa, Universidad Pablo de Olavide, A Framework for Safe Local 3D Path Planning based on Online Neural Euclidean Signed Distance Fields.
Diego Daniel Pedroza-Pérez, Universidad de Málaga, Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems.
MarĂa MartĂnez Ballesteros, Universidad de Sevilla, Explainable deep learning on multi-target time series forecasting: An air pollution use case / Â A new metric based on association rules to assess feature-attribution explainability techniques for time series forecasting.Â