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Fukami, A., Regazzoni, F., & Geradts, Z. (2023). Data Sanitization on eMMCs. In ASP-DAC 2023 - 28th Asia and South Pacific Design Automation Conference, Proceedings (pp. 455-460). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3566097.3568349
Geradts, Z., & Riphagen, Q. (2023). Interpol review of forensic video analysis, 2019–2022. Forensic Science International: Synergy, 6, [100309]. https://doi.org/10.1016/j.fsisyn.2022.100309
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. https://doi.org/10.1109/JSTSP.2023.3267263
Scanlon, M., Nikkel, B., & Geradts, Z. (2023). Digital forensic investigation in the age of ChatGPT. Forensic Science International: Digital Investigation, 44, [301543]. https://doi.org/10.1016/j.fsidi.2023.301543
2022
Chamot, F., Geradts, Z., & Haasdijk, E. (2022). Deepfake forensics: Cross-manipulation robustness of feedforward- and recurrent convolutional forgery detection methods. Forensic Science International: Digital Investigation, 40, [301374]. https://doi.org/10.1016/j.fsidi.2022.301374
Frijters, G., & Geradts, Z. J. M. H. (2022). Use of electric network frequency presence in video material for time estimation. Journal of Forensic Sciences, 67(3), 1021-1032. https://doi.org/10.1111/1556-4029.15003[details]
Fukami, A., Sheremetov, S., Regazzoni, F., Geradts, Z., & De Laat, C. (2022). Experimental Evaluation of e·MMC Data Recovery. IEEE Transactions on Information Forensics and Security, 17, 2074-2083. https://doi.org/10.1109/TIFS.2022.3176187[details]
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, [111239]. https://doi.org/10.1016/j.forsciint.2022.111239[details]
Zola, F., Fernandez-Carrasco, J. A., Bruse, J. L., Galar, M., & Geradts, Z. (2022). Verification system based on long-range iris and Graph Siamese Neural Networks. In ESSE 2022 - 2022 3rd European Symposium on Software Engineering (pp. 80-88). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3571697.3571708
de Witte, B., Bouarfa, S., & Geradts, Z. (2022). A quantitative comparison of automated cleaning techniques for web scraped image data of 'Smart Cities'. In IPMV 2022: 2022 4th International Conference on Image Processing and Machine Vision : Virtual Conference, March 25-27, 2022 (pp. 64-71). (ICPS). The Association for Computing Machinery. https://doi.org/10.1145/3529446.3529457[details]
Final presentation ipmv2022(embargo until 01 July 2023)
2021
Fukami, A., Stoykova, R., & Geradts, Z. (2021). A new model for forensic data extraction from encrypted mobile devices. Forensic Science International: Digital Investigation, 38, [301169]. https://doi.org/10.1016/j.fsidi.2021.301169[details]
Gisolf, F., Geradts, Z., & Worring, M. (2021). Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories. In J. Lokoč, K. Schoeffmann, X. Li, I. Patras, T. Skopal, V. Mezaris, & S. Vrochidis (Eds.), MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings (Vol. 2, pp. 244-255). (Lecture Notes in Computer Science; Vol. 12573). Springer. https://doi.org/10.1007/978-3-030-67835-7_21[details]
Bas Seyyar, M., & Geradts, Z. J. M. H. (2020). Privacy impact assessment in large-scale digital forensic investigations. Forensic Science International: Digital Investigation, 33, [200906]. https://doi.org/10.1016/j.fsidi.2020.200906[details]
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[details]
Ibrahimi, S., van Noord, N., Geradts, Z., & Worring, M. (2019). Deep Metric Learning for Cross-Domain Fashion Instance Retrieval. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 3165-3168). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00390[details]
Geradts, Z. (2018). Forensic challenges on multimedia analytics, big data and the internet of things. In C. Callegari, M. van Sinderen, P. Novais, P. Sarigiannidis, S. Battiato, Á. Serrano Sánchez de León, P. Lorenz, & M. S. Obaidat (Eds.), ICETE 2018 : Proceedings of the 15th International Joint Conference on e-Business and Telecommunications : July 26-28, 2018, in Porto, Portugal. - Volume 1: DCNET, ICE-B, OPTICS, SIGMAP and WINSYS (pp. 5-8). SciTePress. https://doi.org/10.5220/0007239400000000[details]
Koopman, M., Rodriguez, A. M., & Geradts, Z. (2018). Detection of deepfake video manipulation. In The 20th Irish machine vision and image processing conference (IMVIP) (pp. 133-136)
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[details]
van Mastrigt, N. M., Celie, K., Mieremet, A. L., Ruifrok, A. C. C., & Geradts, Z. (2018). Critical review of the use and scientific basis of forensic gait analysis. Forensic Science Research, 3(3), 183-193. https://doi.org/10.1080/20961790.2018.1503579[details]
van Werkhoven, B., Hijma, P., Jacobs, C. J. H., Maassen, J., Geradts, Z. J. M. H., & Bal, H. E. (2018). A Jungle Computing approach to common image source identification in large collections of images. Digital Investigation, 27, 3-16. https://doi.org/10.1016/j.diin.2018.09.002[details]
Rongen, J., & Geradts, Z. (2017). Extraction and Forensic Analysis of wearables. International Journal of Forensic Science & Patholology, 5(1), 312-318. https://doi.org/10.19070/2332-287X-1700070[details]
Kloosterman, A., Mapes, A., Geradts, Z., van Eijk, E., Koper, C., van den Berg, J., Verheij, S., van der Steen, M., & van Asten, A. (2015). The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system. Philosophical Transactions of the Royal Society B - Biological Sciences, 370(1674), [20140264]. https://doi.org/10.1098/rstb.2014.0264[details]
van Asten, A., Neuteboom, W., Wiersma, S., & Geradts, Z. (2015). The Netherlands. In D. H. Ubelaker (Ed.), The Global Practice of Forensic Science (pp. 217-230). Wiley Blackwell. https://doi.org/10.1002/9781118724248.ch21[details]
2014
Geradts, Z., & Johnson, T. A. (2014). Forensic computing. In S. H. James, J. J. Nordby, & S. Bell (Eds.), Forensic Science: An Introduction to Scientific and Investigative Techniques (4th ed., pp. 507-520). CRC Press. https://doi.org/10.1201/b16445[details]
Gisolf, F., Barens, P., Snel, E., Malgoezar, A., Vos, M., Mieremet, A., & Geradts, Z. (2014). Common source identification of images in large databases. Forensic Science International, 244, 222-230. https://doi.org/10.1016/j.forsciint.2014.08.034[details]
Slot, A., & Geradts, Z. J. M. H. (2014). The possibilities and limitations of forensic hand comparison. Journal of Forensic Sciences, 59(6), 1559-1567. https://doi.org/10.1111/1556-4029.12542[details]
2013
Baker, D. W., Brothers, S. I., Geradts, Z. J., Lacey, D. S., Nance, K. L., Ryan, D. J., ... Stephenson, P. (2013). Digital Evolution: History, Challenges and Future Directions for the Digital and Multimedia Sciences Section. In D. H. Ubelaker (Ed.), Forensic Science: Current Issues, Future Directions (pp. 252-291). John Wiley & Sons. https://doi.org/10.1002/9781118373880.ch10
Gisolf, F., Geradts, Z., Verhoeven, D., & Klaver, C. (2013). The effects of switching the camera module from BlackBerry Curve 9360 devices. Digital Investigation, 10(1), 56-61. https://doi.org/10.1016/j.diin.2013.01.007[details]
Gisolf, F., Malgoezar, A., Baar, T., & Geradts, Z. (2013). Improving source camera identification using a simplified total variation based noise removal algorithm. Digital Investigation, 10(3), 207-214. https://doi.org/10.1016/j.diin.2013.08.002[details]
2012
van Houten, W., & Geradts, Z. (2012). Using anisotropic diffusion for efficient extraction of sensor noise in camera identification. Journal of Forensic Sciences, 57(2), 521-527. https://doi.org/10.1111/j.1556-4029.2012.02057.x
van Houten, W., Geradts, Z. J. M. H., Franke, K., & Veenman, C. (2010). Verification of video source Camera Competition (CAMCOM 2010). In Recognizing Patterns in Signals, Speech, Images, and Videos - ICPR 2010 Contests, Contest Reports (pp. 22-28). (Lecture Notes in Computer Science; Vol. 6388). Springer. https://doi.org/10.1007/978-3-642-17711-8_3
2009
Alles, E. J., Geradts, Z. J. M. H., & Veenman, C. J. (2009). Source camera identification for heavily JPEG compressed low resolution still images. Journal of Forensic Sciences, 54(3), 628-638. https://doi.org/10.1111/j.1556-4029.2009.01029.x[details]
Huijbregtse, M., & Geradts, Z. (2009). Using the ENF criterion for determining the time of recording of short digital audio recordings. In Computational Forensics - Third International Workshop, IWCF 2009, Proceedings (pp. 116-124). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0_11
Koops, B. J., & Geradts, Z. (2009). Identity-related crime and forensics. In The Future of Identity in the Information Society (pp. 315-347). Springer. https://doi.org/10.1007/978-3-642-01820-6_8
Van Houten, W., & Geradts, Z. (2009). Using sensor noise to identify low resolution compressed videos from youtube. In Computational Forensics - Third International Workshop, IWCF 2009, Proceedings (pp. 104-115). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0_10
van Houten, W., & Geradts, Z. (2009). Source video camera identification for multiply compressed videos originating from YouTube. Digital Investigation, 6(1-2), 48-60. https://doi.org/10.1016/j.diin.2009.05.003
2008
Alles, E. J., Geradts, Z. J. M. H., & Veenman, C. J. (2008). Source camera identification for low resolution heavily compressed images. In Proceedings: The 2008 International Conference on Computational Science and its Applications: ICCSA 2008: Perugia, Italy, June 30-July 3, 2008 (pp. 557-567). IEEE. https://doi.org/10.1109/ICCSA.2008.18[details]
2006
Geradts, Z. (2006). Physics at the scene of the crime. Physics World, 19(7), 39-40.
2004
Freyssinet, E., & Geradts, Z. (2004). Future issues in forensic computing and an introduction to ENSFI. Digital Investigation, 1(2), 112-113. https://doi.org/10.1016/j.diin.2004.04.008
2003
Geradts, Z., & Ruifrok, A. (2003). Extracting forensic evidence from biometric devices. Proceedings of SPIE, the International Society for Optical Engineering, 5108, 181-188. https://doi.org/10.1117/12.501151
2002
Geradts, Z. J., Bijhold, J., Kieft, M., Kurosawa, K., Kuroki, K., & Saitoh, N. (2002). Digital camera identification. Journal of Forensic Identification, 52(5), 621-632.
Geradts, Z., & Bijhold, J. (2002). Content based information retrieval in forensic image databases. Journal of Forensic Sciences, 47(2), 285-92.
Geradts, Z., & Bijhold, J. (2002). Data mining in forensic image databases. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 92-101. https://doi.org/10.1117/12.474729
Geradts, Z., Merlijn, M., De Groot, G., & Bijhold, J. (2002). Use of gait parameters of persons in video surveillance systems. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 16-24. https://doi.org/10.1117/12.474735
Saitoh, N., Kurosawa, K., Kuroki, K., Akiba, N., Geradts, Z., & Bijhold, J. (2002). CCD fingerprint method for digital still cameras. Proceedings of SPIE, the International Society for Optical Engineering, 4709, 37-48. https://doi.org/10.1117/12.474737
2001
Geradts, Z. J., Bijhold, J., Hermsen, R., & Murtagh, F. (2001). Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms. Forensic Science International, 119(1), 97-106. https://doi.org/10.1016/S0379-0738(00)00420-5
Geradts, Z. J., Bijhold, J., Kieft, M., Kurosawa, K., Kuroki, K., & Saitoh, N. (2001). Methods for identification of images acquired with digital cameras. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 505-512. https://doi.org/10.1117/12.417569
Geradts, Z., & Bijhold, J. (2001). New developments in forensic image processing and pattern recognition. Science & justice, 41(3), 159-166.
Geradts, Z., Bijhold, J., Hermsen, R., & Murtagh, F. (2001). Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 545-552. https://doi.org/10.1117/12.417573
Geradts, Z., Hardy, H., Poortman, A., & Bijhold, J. (2001). Evaluation of contents based image retrieval methods for a database of logos on drug tablets. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 553-562. https://doi.org/10.1117/12.417574
Geradts, Z., Zaal, D., Hardy, H., Lelieveld, J., Keereweer, I., & Bijhold, J. (2001). Pilot investigation of automatic comparison of striation marks with structured light. Proceedings of SPIE, the International Society for Optical Engineering, 4232, 49-56. https://doi.org/10.1117/12.417516
2000
Geradts, Z., & Bijhold, J. (2000). Overview of pattern recognition and image processing in forensic science. Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology, 1(2).
1999
Bijhold, J., & Geradts, Z. (1999). Forensic photo/videogrammetry; Monte Carlo simulation of pixel and measurement errors. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 239-246.
Daubos, T., Geradts, Z., Starck, J. L., Campbell, J., & Murtagh, F. (1999). Improving video image quality using automated wavelet-based image addition. Proceedings of SPIE, the International Society for Optical Engineering, 3813, 795-801.
Geradts, Z. J., & Bijhold, J. (1999). Forensic video investigation with real time digitized uncompressed video image sequences. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 154-164.
Geradts, Z., Bijhold, J., & Hermsen, R. (1999). Pattern recognition in a database of cartridge cases. Proceedings of SPIE, the International Society for Optical Engineering, 3576, 104-115.
1997
Geradts, Z. J., Dofferhoff, G., & Visser, R. (1997). Using high speed video in ballistic experiments with crossbows. Proceedings of SPIE, the International Society for Optical Engineering, 2942, 64-70. https://doi.org/10.1117/12.267166
1996
Geradts, Z., & Keijzer, J. (1996). The image-database REBEZO for shoeprints with developments on automatic classification of shoe outsole designs. Forensic Science International, 82(1), 21-31. https://doi.org/10.1016/0379-0738(96)01963-9
1995
Geradts, Z., Keijzer, J., & Keereweer, I. (1995). Automatic comparison of striation marks and automatic classification of shoe prints. Proceedings of SPIE - The International Society for Optical Engineering, 2567, 151-164. https://doi.org/10.1117/12.218471
1994
Geradts, Z., Keijzer, J., & Keereweer, I. (1994). A new approach to automatic comparison of striation marks. Journal of Forensic Sciences, 39(4), 974-980. https://doi.org/10.1520/JFS13676J
2023
Geradts, Z., & Ubelaker, D. H. (2023). Series Preface. In Anthropology of Violent Death: Theoretical Foundations for Forensic Humanitarian Action (pp. xxvii). Wiley.
2022
Geradts, Z. (2022). Foreword. In N-A. Le-Khac, & K-KR. Choo (Eds.), A Practical Hands-on Approach to Database Forensics (pp. v). (Studies in Big Data; Vol. 116). Springer. https://doi.org/10.1007/978-3-031-16127-8
Morrison, G. S., Ramos, D., Ypma, R. J. F., Basu, N., de Bie, K., Enzinger, E., Geradts, Z., Meuwly, D., van der Vloed, D., Vergeer, P., & Weber, P. (2022). A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source) “identification” claims in forensic literature. Forensic Science International: Synergy, 4, [100230]. https://doi.org/10.1016/j.fsisyn.2022.100230[details]
Pločo, A., Macarulla Rodríguez, A., & Geradts, Z. (2020). Spatial-Temporal Omni-Scale Feature Learning for Person Re-Identification. In IWBF 2020 : 2020 8th International Workshop on Biometrics and Forensics (IWBF) : proceedings : Porto, Portugal, April 29-30, 2020 (pp. 121-125). IEEE. https://doi.org/10.1109/IWBF49977.2020.9107966[details]
2018
Borengasser, M., Rettich, K. L., Vorder Bruegge, R., & Geradts, Z. J. (2018). Forensic Image Processing. Proceedings of the American Academy of Forensic Sciences, 24, 29. [W16]. [details]
Liptai, L. L., Geradts, Z. J., Van Eijk, E., Carter, D. O., Tomberlin, J. K., Van Zalen, E., ... Domitrovich, S. (2018). Think Tank on the Leading Edge of Forensic Science: Drones, Autonomous Vehicles, Big Data/Big Problems, National Security Globalization Into Protrusionism Privacy, Dirty Bombs, and Microbial Forensics. Proceedings of the American Academy of Forensic Sciences, 24, 37. [W24]. [details]
Geradts, Z. J., & Cents, R. (2016). The Use of Photo Response Non-Uniformity (PRNU) Patterns for the Comparison of Online Videos on Social Media. Proceedings of the American Academy of Forensic Sciences, 22, 437. [C13]. [details]
Geradts, Z. J., & Ruifrok, A. C. (2016). Using Deep Learning Methods for Forensic Image and Video Investigation. Proceedings of the American Academy of Forensic Sciences, 22, 426. [C2]. [details]
Geradts, Z. J., Liptai, L. L., Thompson, R. M., Franke, K., van Asten, A. C., Winfield, G., ... Henshon, M. T. (2016). On the leading edge of forensic science. Proceedings of the American Academy of Forensic Sciences, 22, 36. [W20]. [details]
Harris, H. A., Sjerps, M. J., Kloosterman, A. D., Quak, A., & Geradts, Z. J. (2014). Framework for Registration, Classification, and evaluation of errors in the Forensic DNA Typing Process. Proceedings of the American Academy of Forensic Sciences, 20, 19. [W13]. [details]
Geradts, Z. J. M. H., Franke, K. Y., & Veenman, C. J. (2009). Preface. In Z. J. M. H. Geradts, K. Y. Franke, & C. J. Veenman (Eds.), Computational Forensics: Third International Workshop, IWCF 2009, The Hague, The Netherlands, August 13-14, 2009 : proceedings (pp. VI). (Lecture Notes in Computer Science; Vol. 5718). Springer. https://doi.org/10.1007/978-3-642-03521-0[details]
2002
Geradts, Z. J., & Rudin, L. I. (2002). Erratum: (Proceedings of SPIE - Investigative Image Processing II (4 April, 2002)). Proceedings of SPIE, the International Society for Optical Engineering, 4709, 127.
van Leuven, B., Visser, R., & Geradts, Z. (2002). Commentary on: Rompen JC, Meek MF, van Andel MV. A Cause Celebre: The so-called "Ballpoint Murder." J Forensic Sci 2000;45(5):1144-1147. Journal of Forensic Sciences, 47(1), 234.
2001
Geradts, Z. (2001). Your expectations in 2005. Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology, 2(1).
Geradts, Z. J. M. H., Filius, N., & Ruifrok, A. (2019). Review paper Video and imaging. In M. Houck (Ed.), 19th Interpol International Forensic Science Managers Symposium (pp. 563-606)
2015
Geradts, Z. (2015). Extracting Evidence from Multimedia Big Data. (Inaugural lecture; No. 554). Universiteit van Amsterdam. [details]
Geradts, Z. (2012). Distinguished forensic scientist.
Membership / relevant position
Geradts, Z. (2018-2019). President Elect, American Academy of Forensic Sciences.
Geradts, Z. (2010-). senior member, IEEE.
Geradts, Z. (2007-). chairman of forensic IT Working group, ENFSI.
Geradts, Z. (2002-). member and director of EU section, International Association of Identification.
Geradts, Z. (1999-). Chairman Engineering Sciences, Digital and Multimedia Sciences, Director, Vice President, Treasurer, American Academy of Forensic Sciences.
Journal editor
Geradts, Z. (editor) (2018). Digital Investigation (Journal).
Geradts, Z. (editor) (2016). Forensic Science Research (Journal).
Geradts, Z. (editor) (2014). Journal of Forensic Sciences (Journal).
Geradts, Z. (editor) (2010-2018). Digital Investigation (Journal).
Others
Geradts, Z. (participant) (2-2018). American Academy of Forensic Science 2018, Seattle. Think Tank on the Leading Edge of Forensic Science: Drones, Autonomous Vehicles, Big Data/Big Problems,National Security Globalization Into (…) (organising a conference, workshop, ...). https://www.aafs.org/wp-content/uploads/2018_Complete_Proceedings.pdf
2016
Duijn, P. A. C. (2016). Detecting and disrupting criminal networks: A data driven approach. [details]
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