Proprietary vs. "open systems" options in the construction of knowledge-based software reengineering environments. - Paul A. Bailes; Steven Atkinson; Murray Chapman; Dan B. Johnston; Ian Peake (APSEC, 1994)

Towards an Open Software Conversion Architecture. - Paul A. Bailes; Steven Atkinson; Murray Chapman; Dan B. Johnston; Ian Peake (Int. J. Softw. Eng. Knowl. Eng., 1995)

Cognitive Deficiencies in Software Library Design. - Steven Atkinson (APSEC, 1997)

Formal engineering of software library systems - Steven Atkinson (1997)

Modelling formal integrated component retrieval. - Steven Atkinson (ICSR, 1998)

Reasoning about Software-Component Behavior. - Murali Sitaraman; Steven Atkinson; Gregory Kulczycki; Bruce W. Weide; Timothy J. Long; Paolo Bucci; Wayne D. Heym; Scott M. Pike; Joseph E. Hollingsworth (ICSR, 2000)

Structured Bayesian Gaussian process latent variable model. - Steven Atkinson; Nicholas Zabaras (CoRR, 2018)

Data-driven discovery of free-form governing differential equations. - Steven Atkinson; Waad Subber; Liping Wang; Genghis Khan; Philippe Hawi; Roger G. Ghanem (CoRR, 2019)

Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion. - Steven Atkinson; Nicholas Zabaras (J. Comput. Phys., 2019)

Bayesian task embedding for few-shot Bayesian optimization. - Steven Atkinson; Sayan Ghosh; Natarajan Chennimalai-Kumar; Genghis Khan; Liping Wang (CoRR, 2020)

Advances in Bayesian Probabilistic Modeling for Industrial Applications. - Sayan Ghosh; Piyush Pandita; Steven Atkinson; Waad Subber; Yiming Zhang; Natarajan Chennimalai-Kumar; Suryarghya Chakrabarti; Liping Wang (CoRR, 2020)

Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data. - Steven Atkinson (CoRR, 2020)

Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models. - Steven Atkinson; Yiming Zhang; Liping Wang (AAAI Spring Symposium: MLPS, 2021)

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. - Sayan Ghosh; Govinda A. Padmanabha; Cheng Peng; Steven Atkinson; Valeria Andreoli; Piyush Pandita; Thomas Vandeputte; Nicholas Zabaras; Liping Wang (CoRR, 2021)