Browsing by Author "Mesejo, Pablo"
Now showing items 1-5 of 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 ... -
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 ... -
Texture classification of proteins using support vector machines and bio-inspired metaheuristics
Seoane, José A.; Mesejo, Pablo; Nashed, Youssef S.; Cagnoni, Stefano; Dorado, Julián; Fernández-Lozano, Carlos (Springer, 2014-11-02)[Abstract] In this paper, a novel classification method of two-dimensional polyacrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process for ...
