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Results: 7
Number of items: 7
  • Open Access
    Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2024). Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing. Forensic Science International: Synergy, 8, Article 100458. https://doi.org/10.1016/j.fsisyn.2024.100458
  • Open Access
    Macarulla Rodríguez, A. (2024). Face comparison in forensics: A deep dive into deep learning and likelihood rations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2023). Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing. In 2023 11th International Workshop on Biometrics and Forensics (IWBF 2023): Barcelona, Spain : 19-20 April 2023 (pp. 92-97). IEEE. https://doi.org/10.1109/IWBF57495.2023.10157791
  • Open Access
    Rodriguez, A. M., Unzueta, L., Geradts, Z., Worring, M., & Elordi, U. (2023). Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition. IEEE Journal on Selected Topics in Signal Processing, 17(3), 612-623. https://doi.org/10.1109/JSTSP.2023.3267263
  • Open Access
    Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2022). Calibration of score based likelihood ratio estimation in automated forensic facial image comparison. Forensic Science International, 334, Article 111239. https://doi.org/10.1016/j.forsciint.2022.111239
  • Open Access
    Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2020). Likelihood Ratios for Deep Neural Networks in Face Comparison. Journal of Forensic Sciences, 65(4), 1169-1183. https://doi.org/10.1111/1556-4029.14324
  • Open Access
    Macarulla Rodriguez, A., Tiberius, C., van Bree, R., & Geradts, Z. (2018). Google timeline accuracy assessment and error prediction. Forensic Science Research, 3(3), 240-255. https://doi.org/10.1080/20961790.2018.1509187
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