| Predicting age and gender in online social networks C Peersman, W Daelemans, L Van Vaerenbergh Proceedings of the 3rd international workshop on Search and mining user …, 2011 | 440 | 2011 |
| Automatically dismantling online dating fraud G Suarez-Tangil, M Edwards, C Peersman, G Stringhini, A Rashid, ... IEEE Transactions on Information Forensics and Security 15, 1128-1137, 2019 | 131 | 2019 |
| Scoping the cyber security body of knowledge A Rashid, G Danezis, H Chivers, E Lupu, A Martin, M Lewis, C Peersman IEEE Security & Privacy 16 (3), 96-102, 2018 | 100 | 2018 |
| iCOP: Live forensics to reveal previously unknown criminal media on P2P networks C Peersman, C Schulze, A Rashid, M Brennan, C Fischer Digital Investigation 18, 50-64, 2016 | 71 | 2016 |
| Towards forensic-ready software systems L Pasquale, D Alrajeh, C Peersman, T Tun, B Nuseibeh, A Rashid Proceedings of the 40th international conference on software engineering …, 2018 | 56 | 2018 |
| Fine-grained emotion detection in suicide notes: A thresholding approach to multi-label classification K Luyckx, F Vaassen, C Peersman, W Daelemans Biomedical informatics insights 5, BII. S8966, 2012 | 52 | 2012 |
| The geography of online dating fraud M Edwards, G Suaraz-Tangil, C Peersman, G Stringhini, A Rashid, ... Workshop on Technology and Consumer Protection 2018, 2018 | 47 | 2018 |
| Scamming the scammers: towards automatic detection of persuasion in advance fee frauds M Edwards, C Peersman, A Rashid Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 43 | 2017 |
| Conversation Level Constraints on Pedophile Detection in Chat Rooms. C Peersman, F Vaassen, V Van Asch, W Daelemans CLEF (Online working notes/labs/workshop), 1-13, 2012 | 43 | 2012 |
| icop: Automatically identifying new child abuse media in p2p networks C Peersman, C Schulze, A Rashid, M Brennan, C Fischer 2014 IEEE Security and Privacy Workshops, 124-131, 2014 | 37 | 2014 |
| The effects of age, gender and region on non-standard linguistic variation in online social networks C Peersman, W Daelemans, R Vandekerckhove, B Vandekerckhove, ... arXiv preprint arXiv:1601.02431, 2016 | 30 | 2016 |
| Characterising cybercriminals: a review M Edwards, E Williams, C Peersman, A Rashid arXiv preprint arXiv:2202.07419, 2022 | 16 | 2022 |
| The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language. M Kestemont, C Peersman, B De Decker, G De Pauw, K Luyckx, ... LREC, 1569-1572, 2012 | 15 | 2012 |
| The impact of adverse events in darknet markets: an anomaly detection approach Z Ursani, C Peersman, M Edwards, C Chen, A Rashid 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2021 | 13 | 2021 |
| ABOP, automatic optimization of patient information leaflets I Delaere, V Hoste, C Peersman, L Van Vaerenbergh, P Velaerts Proceedings of the international symposium on data and sense mining, machine …, 2009 | 12 | 2009 |
| Understanding motivations and characteristics of financially-motivated cybercriminals C Peersman, E Williams, M Edwards, A Rashid arXiv preprint arXiv:2203.08642, 2022 | 11 | 2022 |
| Amoc: A multifaceted machine learning-based toolkit for analysing cybercriminal communities on the darknet C Chen, C Peersman, M Edwards, Z Ursani, A Rashid 2021 IEEE International Conference on Big Data (Big Data), 2516-2524, 2021 | 11 | 2021 |
| Tokyo, denver, helsinki, lisbon or the professor? a framework for understanding cybercriminal roles in darknet markets C Peersman, D Pencheva, A Rashid 2021 APWG Symposium on Electronic Crime Research (eCrime), 1-12, 2021 | 11 | 2021 |
| Detecting Deceptive Behaviour in the Wild: Text Mining for Online Child Protection in the Presence of Noisy and Adversarial Social Media Communications C Peersman Lancaster University, 2018 | 7 | 2018 |
| Towards a framework for evaluating CSAM prevention and detection tools in the context of end-to-end encryption environments: A case study C Peersman, JT Llanos, C May-Chahal, R McConville, PD Chowdhury, ... REPHRAIN, 2023 | 6 | 2023 |
