This Year in the MOVES Institute. - Michael Zyda; Donald P. Brutzman; Rudy Darken; John Hiles; Ted G. Lewis; Alex Mayberry; Russell Shilling; Joe Sullivan; Alex Callahan; Margaret J. Davis (CW, 2003)

A destructive evolutionary process: a pilot implementation. - Joe Sullivan; Conor Ryan (GECCO, 2007)

Understanding the links between ICT skills training and employability: an analytical framework. - Maria Garrido; Joe Sullivan; Andrew Gordon (ICTD, 2010)

A destructive evolutionary algorithm process. - Joe Sullivan; Conor Ryan (Soft Comput., 2011)

Evolving a Retention Period Classifier for use with Flash Memory. - Damien Hogan; Tom Arbuckle; Conor Ryan; Joe Sullivan (IJCCI, 2012)

Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution. - Conor Ryan; Joe Sullivan; Barry Fitzgerald (GPTP, 2013)

The Characterisation and Optimisation of TLC NAND Flash Memory using Machine Learning - A Position Paper. - Sorcha Bennett; Joe Sullivan (ICAART (2), 2013)

You Can't Do Today's Security With Yesterday's Methods. - Joe Sullivan (NDSS, 2013)

Endurance prediction and error Reduction in NAND flash using machine learning. - Barry Fitzgerald; Damien Hogan; Conor Ryan; Joe Sullivan (NVMTS, 2017)

A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction. - Barry Fitzgerald; Jeannie Fitzgerald; Conor Ryan; Joe Sullivan (AMLTA, 2018)

An Optimal Machine Learning Classification Model for Flash Memory Bit Error Prediction. - Barry Fitzgerald; Conor Ryan; Joe Sullivan (Machine Learning Paradigms, 2019)

Using grammatical evolution for modelling energy consumption on a computer numerical control machine. - Samuel Carvalho; Joe Sullivan; Douglas Mota Dias; Enrique Naredo; Conor Ryan (GECCO Companion, 2021)

An Early-Life NAND Flash Endurance Prediction System. - Barry Fitzgerald; Conor Ryan; Joe Sullivan (IEEE Access, 2021)