• LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis 

  Muñoz-Salinas, Rafael; Liu, Jianheng; Romero Ramírez, Francisco J.; Marín-Jiménez, M.J.; Zhang, Fu (MDPI, 2025)

  This paper presents a robust framework for monocular camera pose estimation by leveraging high-fidelity, pre-built 3D LiDAR maps. The core of our approach is a render-and-match pipeline that synthesizes photorealistic views ...

• Reproducibility Crossroads: Impact of Statistical Choices on Proteomics Functional Enrichment 

  Biełło, Karolina A.; Die, José V.; Amil-Ruiz, Francisco; Fuentes-Almagro, Carlos; Pérez Rodríguez, Javier; Olaya-Abril, Alfonso (MDPI, 2025)

  Quantitative proteomics relies on robust statistical methods for differential expression, critically impacting downstream functional enrichment. This meta-analysis systematically investigated how statistical hypothesis ...

• Design and Validation of PACTUS 2.0: Usability for Neurological Patients, Seniors and Caregivers 

  Sánchez-Gil, Juan J.; Sáez, Aurora; Ochoa Sepúlveda, Juan J.; López Luque, Rafael; Cáceres Gómez, David; Cañete-Carmona, Eduardo (MDPI, 2025)

  Stroke is one of the leading causes of disability worldwide. Its sequelae require early, intensive, and repetitive rehabilitation, but is often ineffective due to a lack of patient motivation. Gamification has been ...

• New Methods for Optimizing Large-Scale Semi-Supervised Sentiment Analysis and Text Classification 

  Youb, Ibtissam (Universidad de Córdoba, UCOPress, 2025)

  In today’s data driven economy organizations face torrents of user generated text that increase by millions of documents each day. Converting this stream into actionable knowledge, whether by assigning sentiment polarity, ...

• A probabilistic alert system for extreme wind events prediction using quantile regression ensembles 

  Peláez-Rodríguez, César; Pérez-Aracil, Jorge; Cruz de la Torre, Carlos; Cornejo-Bueno, Laura; Prieto-Godino, Luis; Alexandre-Cortizo, Enrique; Salcedo-Sanz, Sancho (Elsevier, 2026)

  Anticipating and mitigating the impact of extreme wind events is increasingly critical as wind power becomes a central component of modern energy systems. However, existing predictive approaches often struggle to capture ...

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