no code implementations • 30 Jan 2023 • Sandra Mitrović, Davide Andreoletti, Omran Ayoub
In this paper, we study whether a machine learning model can be effectively trained to accurately distinguish between original human and seemingly human (that is, ChatGPT-generated) text, especially when this text is short.
no code implementations • 5 Jul 2022 • Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrović, Michael Wechner, Vanya Brucker, Peter Egger, Ce Zhang
The scientific publication output grows exponentially.
no code implementations • 24 Jun 2020 • Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović
In this study, we proposed an analytical framework to study the annotation consistency in online hate and abusive content datasets.
1 code implementation • 20 Jul 2016 • Sandra Mitrović, Gaurav Singh
There is an abundance of temporal and non-temporal data in banking (and other industries), but such temporal activity data can not be used directly with classical machine learning models.