Occluded algorithms. - Adam Burke 001 (Big Data Soc., 2019)

Stochastic Process Discovery by Weight Estimation. - Adam Burke 001; Sander J. J. Leemans; Moe Thandar Wynn (ICPM Workshops, 2020)

Discovering Stochastic Process Models by Reduction and Abstraction. - Adam Burke 001; Sander J. J. Leemans; Moe Thandar Wynn (Petri Nets, 2021)

Stochastic Process Mining (Extended Abstract). - Adam Burke 001 (ICPM Doctoral Consortium / Demo, 2021)

Stochastic Process Model-Log Quality Dimensions: An Experimental Study. - Adam T. Burke; Sander J. J. Leemans; Moe Thandar Wynn; Wil M. P. van der Aalst; Arthur H. M. ter Hofstede (ICPM, 2022)

State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants. - Adam T. Burke; Sander J. J. Leemans; Moe Thandar Wynn; Cameron D. Campbell (ICPM, 2023)

Navigating Complexity: Comparing Complexity Measures With Weyuker's Properties. - Patrizia Schalk; Adam Burke 001; Robert Lorenz 001 (ICPM, 2024)

Exploring Complexity: An Extended Study of Formal Properties for Process Model Complexity Measures. - Patrizia Schalk; Adam Burke 001; Robert Lorenz 001 (CoRR, 2024)

A chance for models to show their quality: Stochastic process model-log dimensions. - Adam T. Burke; Sander J. J. Leemans; Moe Thandar Wynn; Wil M. P. van der Aalst; Arthur H. M. ter Hofstede (Inf. Syst., 2024)

Suspicious Activity Detection Using Blockchain Process Mining. - Felipe Alejandro Manzor Manzor; Adam Burke 001; Nagarajan Venkatachalam; Andrzej Janusz (CAiSE Workshops, 2025)