- See Also
- Gwern
-
Links
- “The Dark Web Privacy Dilemma: Linguistic Diversity, Talkativeness, and User Engagement on the Cryptomarket Forums”, Chen et al 2023
- “Automatic User Profiling in Darknet Markets: a Scalability Study”, Peersman et al 2022
- “SYSML: StYlometry With Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis”, Maneriker et al 2021
- “A Chi Assomiglia Elena Ferrante? Un Profilo Stilometrico Aggiornato [Who Does Elena Ferrante Look Like? A Revised Stylometric Identikit]”, Cortelazzo & Tuzzi 2020
- “Learning Personalized Models of Human Behavior in Chess”, McIlroy-Young et al 2020
- “Dark Vendor Profiling”, Jeziorowski 2020b
- “Large-Scale Quantitative Profiling of the Old English Verse Tradition”, Neidorf et al 2019
- “How Low Can You Go? Detecting Style in Extremely Low Resolution Images”, Searston et al 2019
- “Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network”, Zhang et al 2019c
- “What Is Elena Ferrante? A Comparative Analysis of a Secretive Bestselling Italian Writer”, Tuzzi & Cortelazzo 2018
- “Drawing Elena Ferrante’s Profile [Workshop Proceedings, Padova, 7 September 2017]”, Tuzzi & Cortelazzo 2017
- “Application of Stylometry to Dark Web Forum User Identification”, Ho & Ng 2016
- “Mining Writeprints from Anonymous E-Mails for Forensic Investigation”, Iqbal 2010
- “Programmed Differently? Testing for Gender Differences in Python Programming Style and Quality on GitHub”
- “Programmed Differently? Testing for Gender Differences in Python Programming Style and Quality on GitHub”
- “Show HN: Using Stylometry to Find HN Users With Alternate Accounts”
- “New Developments in Deanonymization”
- Wikipedia
- Miscellaneous
See Also
Gwern
“Who Wrote The Death Note Script?”, Gwern 2009
Links
“The Dark Web Privacy Dilemma: Linguistic Diversity, Talkativeness, and User Engagement on the Cryptomarket Forums”, Chen et al 2023
“Automatic User Profiling in Darknet Markets: a Scalability Study”, Peersman et al 2022
Automatic User Profiling in Darknet Markets: a Scalability Study
“SYSML: StYlometry With Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis”, Maneriker et al 2021
“A Chi Assomiglia Elena Ferrante? Un Profilo Stilometrico Aggiornato [Who Does Elena Ferrante Look Like? A Revised Stylometric Identikit]”, Cortelazzo & Tuzzi 2020
“Learning Personalized Models of Human Behavior in Chess”, McIlroy-Young et al 2020
“Dark Vendor Profiling”, Jeziorowski 2020b
“Large-Scale Quantitative Profiling of the Old English Verse Tradition”, Neidorf et al 2019
Large-scale quantitative profiling of the Old English verse tradition
“How Low Can You Go? Detecting Style in Extremely Low Resolution Images”, Searston et al 2019
How low can you go? Detecting style in extremely low resolution images
“Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network”, Zhang et al 2019c
“What Is Elena Ferrante? A Comparative Analysis of a Secretive Bestselling Italian Writer”, Tuzzi & Cortelazzo 2018
What is Elena Ferrante? A comparative analysis of a secretive bestselling Italian writer
“Drawing Elena Ferrante’s Profile [Workshop Proceedings, Padova, 7 September 2017]”, Tuzzi & Cortelazzo 2017
Drawing Elena Ferrante’s Profile [Workshop Proceedings, Padova, 7 September 2017]
“Application of Stylometry to Dark Web Forum User Identification”, Ho & Ng 2016
Application of Stylometry to Dark Web Forum User Identification
“Mining Writeprints from Anonymous E-Mails for Forensic Investigation”, Iqbal 2010
Mining writeprints from anonymous e-mails for forensic investigation:
“Programmed Differently? Testing for Gender Differences in Python Programming Style and Quality on GitHub”
“Programmed Differently? Testing for Gender Differences in Python Programming Style and Quality on GitHub”
“Show HN: Using Stylometry to Find HN Users With Alternate Accounts”
Show HN: Using stylometry to find HN users with alternate accounts: