Oracle Data Mining - Data Mining in the Database Environment. - Pablo Tamayo; Charles Berger; Marcos M. Campos; Joseph Yarmus; Boriana L. Milenova; Ari Mozes; Margaret Taft; Mark F. Hornick; Ramkumar Krishnan; Shiby Thomas; Mark Kelly; Denis Mukhin; et al. (The Data Mining and Knowledge Discovery Handbook, 2005)

Computational Mass Spectrometry in a Reconfigurable Coherent Coprocessing Architecture. - Devi Yalamarthy; Joel Coburn; Rajesh Gupta 001; Glen Edwards; Mark Kelly (IEEE Des. Test Comput., 2011)

Trustability based on beta distribution detecting abnormal behaviour nodes in WSN. - Dylan Cohen; Mark Kelly; Xu Huang; N. K. Srinath (APCC, 2013)

A Collaborative Academia-Industry Approach to Developing a Higher Education Programme in Building Information Modelling. - Mark Kelly; Mark Costello; Gerard Nicholson; Jim O'Connor (Int. J. 3 D Inf. Model., 2016)

EC-CENTRIC: An Energy- and Context-Centric Perspective on IoT Systems and Protocol Design. - Alessandro Biason; Chiara Pielli; Michele Rossi; Andrea Zanella; Davide Zordan; Mark Kelly; Michele Zorzi (IEEE Access, 2017)

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. - Matias Benitez; James Tian; Mark Kelly; Vignesh Selvakumaran; Matthew Phelan; Maciej A. Mazurowski; Joseph Y. Lo; Geoffrey D. Rubin; Ricardo Henao (Computer-Aided Diagnosis, 2019)

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. - Songyue Han; James Tian; Mark Kelly; Vignesh Selvakumaran; Ricardo Henao; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models. - Mark Kelly; Mark Fortune; Gilles Bourque; Stephen Dooley (CoRR, 2022)

Low-Dimensional High-Fidelity Kinetic Models for NOX Formation by a Compute Intensification Method. - Mark Kelly; Harry Dunne; Gilles Bourque; Stephen Dooley (CoRR, 2022)