| A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation D Meuwly, D Ramos, R Haraksim Forensic science international 276, 142-153, 2017 | 85 | 2017 |
| Measuring coherence of computer-assisted likelihood ratio methods R Haraksim, D Ramos, D Meuwly, CEH Berger Forensic science international 249, 123-132, 2015 | 24 | 2015 |
| Faceqnet: quality assessment for face recognition based on deep learning J Hernandez-Ortega, J Galbally, J Fierrez, R Haraksim, L Beslay 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 21 | 2019 |
| A study of age and ageing in fingerprint biometrics J Galbally, R Haraksim, L Beslay IEEE Transactions on Information Forensics and Security 14 (5), 1351-1365, 2018 | 19 | 2018 |
| Investigation of portability of space docking techniques for autonomous underwater docking F Maurelli, Y Petillot, A Mallios, S Krupinski, R Haraksim, P Sotiropoulos OCEANS 2009-EUROPE, 1-9, 2009 | 15 | 2009 |
| Multiple AUV control in an operational context: a leader-follower approach R Haraksim, L Brignone, J Opderbecke OCEANS 2009-EUROPE, 1-6, 2009 | 11 | 2009 |
| Biometric Evidence in Forensic Automatic Speaker Recognition A Drygajlo, R Haraksim Handbook of Biometrics for Forensic Science, 221-239, 2017 | 10 | 2017 |
| Validation of likelihood ratio methods used for forensic evidence evaluation: application in forensic fingerprints R Haraksim University of Twente, 2014 | 10 | 2014 |
| Fingerprint growth model for mitigating the ageing effect on children’s fingerprints matching R Haraksim, J Galbally, L Beslay Pattern Recognition 88, 614-628, 2019 | 9 | 2019 |
| Likelihood ratio data to report the validation of a forensic fingerprint evaluation method D Ramos, R Haraksim, D Meuwly Data in brief 10, 75-92, 2017 | 9 | 2017 |
| Study on face identification technology for its implementation in the Schengen information system J Galbally, P Ferrara, R Haraksim, A Psyllos, L Beslay Publications Office of the European Union, 2019 | 5 | 2019 |
| Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions R Haraksim, D Ramos, D Meuwly Iet Biometrics 6 (2), 61-69, 2016 | 5 | 2016 |
| Study on fingermark and palmmark identification technologies for their implementation in the schengen information system R Haraksim, J Galbally, L Beslay Joint Res. Centre, Luxembourg City, Luxembourg, Tech. Rep, 2019 | 4 | 2019 |
| Fingerprint quality: A lifetime story J Galbally, R Haraksim, L Beslay 2018 International Conference of the Biometrics Special Interest Group …, 2018 | 4 | 2018 |
| Altered fingerprint detection–algorithm performance evaluation R Haraksim, A Anthonioz, C Champod, M Olsen, J Ellingsgaard, ... 2016 4th International Conference on Biometrics and Forensics (IWBF), 1-6, 2016 | 4 | 2016 |
| Measuring performance in forensic automatic speaker recognition: VQ, GMM-UBM, i-vectors R Haraksim, A Drygajlo Biosig 2016, 2016 | 3 | 2016 |
| Assignment of the evidential value of a fingermark general pattern using a Bayesian network R Haraksim, D Meuwly, G Doekhie, P Vergeer, M Sjerps 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG …, 2013 | 3 | 2013 |
| Automatic fingerprint recognition: from children to elderly L Beslay, J Galbally, R Haraksim Technical report, Joint Research Center, 2018 | 2 | 2018 |
| Influence of the datasets size on the stability of the LR in the lower region of the within source distribution R Haraksim, D Meuwly Proceedings of Biometric Technologies in Forensic Science, BTFS 2013 …, 2013 | 2 | 2013 |
| Influence of the size of the population dataset on the results produced by the Batvox software D Van der Vloed, D Meuwly, R Haraksim, J Vermeulen InPaper presented at the International Association for Forensic Phonetics …, 2011 | 2 | 2011 |
