Event Log Sampling for Predictive Monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. - Mozhgan Vazifehdoostirani; Laura Genga; Remco M. Dijkman (ICPM, 2022)

Interactive Multi-interest Process Pattern Discovery. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Rob Verhoeven; Hanneke van Laarhoven; Remco M. Dijkman (BPM, 2023)

IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. - Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman (ICPM Doctoral Consortium / Demo, 2023)

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. - Mozhgan Vazifehdoostirani; Mohsen Abbaspour Onari; Isel Grau; Laura Genga; Remco M. Dijkman (ICPM Workshops, 2023)

Performance-preserving event log sampling for predictive monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (J. Intell. Inf. Syst., 2023)

Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring. - Andrei Buliga 001; Mozhgan Vazifehdoostirani; Laura Genga; Xixi Lu 001; Remco M. Dijkman; Chiara Di Francescomarino; Chiara Ghidini; Hajo A. Reijers (BPM, 2024)

Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study. - Mozhgan Vazifehdoostirani; Andrei Buliga 001; Laura Genga; Rob Verhoeven; Remco M. Dijkman (ICPM Workshops, 2024)

Outcome-oriented local explanation using context-aware process patterns. - Mozhgan Vazifehdoostirani; Andrei Buliga 001; Laura Genga; Chiara Di Francescomarino; Massimiliano Ronzani; Chiara Ghidini; Remco M. Dijkman (Eng. Appl. Artif. Intell., 2025)