This work is cited by the following items of the Benford Online Bibliography:
Fernandes, P and Antunes, M (2023). Benford’s law applied to digital forensic analysis. Forensic Science International: Digital Investigation 45, p. 301515. DOI:10.1016/J.FSIDI.2023.301515. | ![]() |
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Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 . DOI:10.1007/978-3-031-78049-3_12. | ![]() |
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O'Mahony, L, O'Sullivan, DJP and Nikolov, NS (2023). On the Detection of Anomalous or Out-of-Distribution Data in Vision Models Using Statistical Techniques.. In: Proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham.. DOI:10.1007/978-3-031-27762-7_40. | ![]() |
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Parnak, A, Damavandi, YB and Kazemitabar, SJ (2022). A Novel Image Splicing Detection Algorithm based on Generalized and Traditional Benford’s Law. International Journal of Engineering, Transactions A: Basics 35(4), pp. 626-634. | ![]() |
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Sanmartin, MAG, Corrales, EEL, Cabezas, L, Iván, C, Tenelema, J and Homero, P (2024). Application of Benford's Law in the Results of the 2023 Presidential Elections, Second Round in Ecuador. Health Leadership and Quality of Life 3, pp. 477. DOI:10.56294/hl2024.477. SPA | ![]() |
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