Survey and critique of techniques for extracting rules from trained artificial neural networks. - Robert Andrews 001; Joachim Diederich; Alan B. Tickle (Knowl. Based Syst., 1995)

Refining Expert Knowledge with an Artificial Neural Network. - Robert Andrews 001; Shlomo Geva (ICONIP (2), 1997)

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks. - Alan B. Tickle; Frédéric Maire; Guido Bologna; Robert Andrews 001; Joachim Diederich (Hybrid Neural Systems, 1998)

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. - Alan B. Tickle; Robert Andrews 001; Mostefa Golea; Joachim Diederich (IEEE Trans. Neural Networks, 1998)

Rule extraction from local cluster neural nets. - Robert Andrews 001; Shlomo Geva (Neurocomputing, 2002)

Semi-supervised Log Pattern Detection and Exploration Using Event Concurrence and Contextual Information. - Xixi Lu 001; Dirk Fahland; Robert Andrews 001; Suriadi Suriadi; Moe Thandar Wynn; Arthur H. M. ter Hofstede; Wil M. P. van der Aalst (OTM Conferences (1), 2017)

Shelf Time Analysis in CTP Insurance Claims Processing. - Robert Andrews 001; Moe Thandar Wynn (PAKDD (Workshops), 2017)

Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs. - Suriadi Suriadi; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Thandar Wynn (Inf. Syst., 2017)

Improving Patient Flows at St. Andrew's War Memorial Hospital's Emergency Department Through Process Mining. - Robert Andrews 001; Suriadi Suriadi; Moe Wynn; Arthur H. M. ter Hofstede; Sean Rothwell (Business Process Management Cases, 2018)

Exposing Impediments to Insurance Claims Processing. - Robert Andrews 001; Moe Wynn; Arthur H. M. ter Hofstede; Jingxin Xu; Kylie Horton; Paul Taylor; Sue Plunkett-Cole (Business Process Management Cases, 2018)

Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland - A Process Mining Analysis. - Robert Andrews 001; Moe Thandar Wynn; Kirsten Vallmuur; Arthur H. M. ter Hofstede; Emma Bosley; Mark Elcock; Stephen Rashford (Business Process Management Workshops, 2018)

Detection and Interactive Repair of Event Ordering Imperfection in Process Logs. - Prabhakar M. Dixit; Suriadi Suriadi; Robert Andrews 001; Moe Thandar Wynn; Arthur H. M. ter Hofstede; Joos C. A. M. Buijs; Wil M. P. van der Aalst (CAiSE, 2018)

Towards Event Log Querying for Data Quality - Let's Start with Detecting Log Imperfections. - Robert Andrews 001; Suriadi Suriadi; Chun Ouyang 001; Erik Poppe (OTM Conferences (1), 2018)

Grounding Process Data Analytics in Domain Knowledge: A Mixed-Method Approach to Identifying Best Practice. - Moe Thandar Wynn; Suriadi Suriadi; Rebekah Eden; Erik Poppe; Anastasiia Pika; Robert Andrews 001; Arthur H. M. ter Hofstede (BPM Forum, 2019)

A Case Study Lens on Process Mining in Practice. - Fahame Emamjome; Robert Andrews 001; Arthur H. M. ter Hofstede (OTM Conferences, 2019)

Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections. - Dominik Andreas Fischer; Kanika Goel 002; Robert Andrews 001; Christopher G. J. van Dun; Moe Thandar Wynn; Maximilian Röglinger (BPM, 2020)

Alohomora: Unlocking Data Quality Causes Through Event Log Context. - Fahame Emamjome; Robert Andrews 001; Arthur H. M. ter Hofstede; Hajo A. Reijers (ECIS, 2020)

Signpost - a Semiotics-based Process Mining Methodology. - Fahame Emamjome; Robert Andrews 001; Arthur H. M. ter Hofstede; Hajo A. Reijers (ECIS, 2020)

An Expert Lens on Data Quality in Process Mining. - Robert Andrews 001; Fahame Emamjome; Arthur H. M. ter Hofstede; Hajo A. Reijers (ICPM, 2020)

Quality-informed semi-automated event log generation for process mining. - Robert Andrews 001; Christopher G. J. van Dun; Moe Thandar Wynn; Wolfgang Kratsch; Maximilian Röglinger; Arthur H. M. ter Hofstede (Decis. Support Syst., 2020)

xPM: A Framework for Process Mining with Exogenous Data. - Adam Banham; Sander J. J. Leemans; Moe Thandar Wynn; Robert Andrews 001 (ICPM Workshops, 2021)

Extracting Best-Practice Using Mixed-Methods. - Erik Poppe; Anastasiia Pika; Moe Thandar Wynn; Rebekah Eden; Robert Andrews 001; Arthur H. M. ter Hofstede (Bus. Inf. Syst. Eng., 2021)

xPM: Enhancing exogenous data visibility. - Adam Banham; Sander J. J. Leemans; Moe Thandar Wynn; Robert Andrews 001; Kevin B. Laupland; Lucy Shinners (Artif. Intell. Medicine, 2022)

Towards interactive event log forensics: Detecting and quantifying timestamp imperfections. - Dominik Andreas Fischer; Kanika Goel 002; Robert Andrews 001; Christopher G. J. van Dun; Moe Thandar Wynn; Maximilian Röglinger (Inf. Syst., 2022)

Process data analytics for hospital case-mix planning. - Robert Andrews 001; Kanika Goel 002; Paul Corry; Robert L. Burdett; Moe Thandar Wynn; Donna Callow (J. Biomed. Informatics, 2022)

Process mining for healthcare: Characteristics and challenges. - Jorge Munoz-Gama; Niels Martin; Carlos Fernández-Llatas; Owen A. Johnson; Marcos Sepúlveda; Emmanuel Helm; Victor Galvez-Yanjari; Eric Rojas 001; Antonio Martinez-Millana; Davide Aloini; Ilaria Angela Amantea; Robert Andrews 001; et al. (J. Biomed. Informatics, 2022)

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. - Kanika Goel 002; Sareh Sadeghianasl; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Wynn; Dakshi Kapugama Geeganage; Sander J. J. Leemans; James M. McGree; Rebekah Eden; Andrew Staib; Rob Eley; Raelene Donovan (HICSS, 2023)

Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework. - Rebekah Eden; Rehan Syed; Tendai Makasi; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Wynn; Raelene Donovan; Robert Eley; Andrew Staib (HICSS, 2023)

Process-Data Quality: The True Frontier of Process Mining. - Arthur H. M. ter Hofstede; Agnes Koschmider; Andrea Marrella; Robert Andrews 001; Dominik Andreas Fischer; Sareh Sadeghianasl; Moe Thandar Wynn; Marco Comuzzi; Jochen De Weerdt; Kanika Goel 002; Niels Martin; Pnina Soffer (ACM J. Data Inf. Qual., 2023)

Differentially Private Event Logs with Case Attributes. - Hannes Ueck; Robert Andrews 001; Moe Thandar Wynn; Sander J. J. Leemans (ICPM Workshops, 2024)

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach. - Adam Banham; Arthur H. M. ter Hofstede; Sander J. J. Leemans; Felix Mannhardt; Robert Andrews 001; Moe Thandar Wynn (IEEE Access, 2024)

Discovering the Influence of Exogenous Data on Decisions in Processes. - Adam Banham; Yannis Bertrand; Robert Andrews 001; Moe Thandar Wynn; Sander J. J. Leemans (Petri Nets, 2025)

Case ID Revealed HERE: Hybrid Elusive Case Repair Method for Transformer-Driven Business Process Event Log Enhancement. - Felix Zetzsche; Robert Andrews 001; Arthur H. M. ter Hofstede; Maximilian Röglinger; Sebastian Johannes Schmid; Moe Thandar Wynn (Bus. Inf. Syst. Eng., 2025)