Listar por autor "Ibáñez, Oscar"
Mostrando ítems 1-5 de 5
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A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
Mesejo, Pablo; Martos, Rubén; Ibáñez, Oscar; Novo Buján, Jorge; Ortega Hortas, Marcos (M D P I AG, 2002-07-08)[Abstract] This paper represents the first survey on the application of AI techniques for the analysis of biomedical images with forensic human identification purposes. Human identification is of great relevance in today’s ... -
Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution
Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)[Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ... -
Computer-aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish-Lithuanian January Uprising (1863–1864)
Martos, Rubén; Guerra, Rosario; Navarro, Fernando; Peruch, Michela; Neuwirth, Kevin; Valsecchi, Andrea; Jankauskas, Rimantas; Ibáñez, Oscar (Springer, 2022-12-15)[Abstract]: In 2017, a series of human remains corresponding to the executed leaders of the “January Uprising” of 1863–1864 were uncovered at the Upper Castle of Vilnius (Lithuania). During the archeological excavations, ... -
Evidence evaluation in craniofacial superimposition using likelihood ratios
Martínez-Moreno, Práxedes; Valsecchi, Andrea; Mesejo, Pablo; Ibáñez, Oscar; Damas, Sergio (Elsevier, 2024-11)[Abstract]: Craniofacial Superimposition is a forensic identification technique that supports decision-making when skeletal remains are involved. It is based on the analysis of the overlapping of a post-mortem skull with ... -
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
Bermejo, Enrique; Fernández-Blanco, Enrique; Valsecchi, Andrea; Mesejo, Pablo; Ibáñez, Oscar; Imaizumi, Kazuhiko (Elsevier, 2022)[Abstract]: Facial biometrics play an essential role in the fields of law enforcement and forensic sciences. When comparing facial traits for human identification in photographs or videos, the analysis must account for ...
