Building Payment Classification Models from Rules and Crowdsourced Labels: A Case Study. - Artem Mateush; Rajesh Sharma 002; Marlon Dumas; Veronika Plotnikova; Ivan Slobozhan; Jaan Übi (CAiSE Workshops, 2018)

Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US. - Ivan Slobozhan; Peter Ormosi; Rajesh Sharma 002 (DaWaK, 2020)

Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach. - Pavlo Tertychnyi; Ivan Slobozhan; Madis Ollikainen; Marlon Dumas (FinanceCom, 2020)

Longitudinal change in language behaviour during protests: a case study of Euromaidan in Ukraine. - Ivan Slobozhan; Tymofii Brik; Rajesh Sharma 002 (Soc. Netw. Anal. Min., 2022)

Detecting shadow lobbying. - Ivan Slobozhan; Peter Ormosi; Rajesh Sharma 002 (Soc. Netw. Anal. Min., 2022)

Differentiable characteristics of Telegram mediums during protests in Belarus 2020. - Ivan Slobozhan; Tymofii Brik; Rajesh Sharma 002 (Soc. Netw. Anal. Min., 2023)