MER: from landing to six wheels on Mars...twice. - Joel Krajewski; Kevin Burke; Chris Lewicki; Daniel Limonadi; Ashitey Trebi-Ollennu; Chris Voorhees (SMC, 2005)

An experimental setup for autonomous operation of surface vessels in rough seas. - Farshad Mahini; Leonard Diwilliams; Kevin Burke; Hashem Ashrafiuon (Robotica, 2013)

Analysing Business Process Anomalies Using Discrete-time Markov chains. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kashaf Khan; Kevin Burke (HPCC/DSS/SmartCity, 2020)

Process Visualization of Manufacturing Execution System (MES) Data. - Meadhbh O'Neill; Jeff Morgan; Kevin Burke (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Process Duration Modelling and Concept Drift Detection for Business Process Mining. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

A Generalization of the Classical Kelly Betting Formula to the Case of Temporal Correlation. - Joseph D. O'Brien; Kevin Burke; Mark E. Burke; B. Ross Barmish (IEEE Control. Syst. Lett., 2021)

A Generalized Framework for Simultaneous Long-Short Feedback Trading. - Joseph D. O'Brien; Mark E. Burke; Kevin Burke (IEEE Trans. Autom. Control., 2021)

Detecting and Responding to Concept Drift in Business Processes. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (Algorithms, 2022)

A Statistically-Based Approach to Feedforward Neural Network Model Selection. - Andrew McInerney; Kevin Burke (CoRR, 2022)

A multi-components approach to monitoring process structure and customer behaviour concept drift. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (Expert Syst. Appl., 2022)

A Preliminary Time Study Among First-Year Engineering Undergraduates: Toward Understanding the Curricular and Co-Curricular Divide. - Andrew T. Olewnik; Matilde Sanchez-Pena; Hasan Asif; Jennifer Zirnheld; Kevin Burke (FIE, 2023)

Analysis of Mean-Field Approximation for Deffuant Opinion Dynamics on Networks. - Alina Dubovskaya; Susan C. Fennell; Kevin Burke; James P. Gleeson; Doireann O'Kiely (SIAM J. Appl. Math., 2023)

Variable selection using a smooth information criterion for distributional regression models. - Meadhbh O'Neill; Kevin Burke (Stat. Comput., 2023)

Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kashaf Khan; Kevin Burke (ACM Trans. Knowl. Discov. Data, 2024)

Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation. - Lingkai Yang; Sally I. McClean; Kevin Burke; Mark P. Donnelly; Kashaf Khan (Data Knowl. Eng., 2025)

Automating mixture model fitting of task durations for process conformance checking. - Lingkai Yang; Sally I. McClean; Malcolm J. Faddy; Mark P. Donnelly; Kashaf Khan; Kevin Burke (Data Min. Knowl. Discov., 2025)