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Books and Theses
- 1997
[b1]Steven Atkinson:
Formal engineering of software library systems. University of Queensland, Australia, 1997
Journal Articles
- 2019
- [j2]Steven Atkinson, Nicholas Zabaras
:
Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion. J. Comput. Phys. 383: 166-195 (2019) - 1995
- [j1]Paul A. Bailes, Steven Atkinson, Murray Chapman, Dan B. Johnston, Ian Peake:
Towards an Open Software Conversion Architecture. Int. J. Softw. Eng. Knowl. Eng. 5(3): 423-444 (1995)
Conference and Workshop Papers
- 2021
- [c5]Steven Atkinson, Yiming Zhang, Liping Wang:
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models. AAAI Spring Symposium: MLPS 2021 - 2000
- [c4]Murali Sitaraman, Steven Atkinson, Gregory Kulczycki, Bruce W. Weide, Timothy J. Long, Paolo Bucci, Wayne D. Heym, Scott M. Pike, Joseph E. Hollingsworth:
Reasoning about Software-Component Behavior. ICSR 2000: 266-283 - 1998
- [c3]Steven Atkinson:
Modelling formal integrated component retrieval. ICSR 1998: 337-346 - 1997
- [c2]Steven Atkinson:
Cognitive Deficiencies in Software Library Design. APSEC 1997: 354-363 - 1994
- [c1]Paul A. Bailes, Steven Atkinson, Murray Chapman, Dan B. Johnston, Ian Peake:
Proprietary vs. "open systems" options in the construction of knowledge-based software reengineering environments. APSEC 1994: 60-69
Informal and Other Publications
- 2021
- [i8]Steven Atkinson, Yiming Zhang, Liping Wang:
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models. CoRR abs/2103.07502 (2021) - [i7]Sayan Ghosh, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Valeria Andreoli, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang:
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. CoRR abs/2108.10163 (2021) - 2020
- [i6]Steven Atkinson, Sayan Ghosh, Natarajan Chennimalai-Kumar, Genghis Khan, Liping Wang:
Bayesian task embedding for few-shot Bayesian optimization. CoRR abs/2001.00637 (2020) - [i5]Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai-Kumar, Suryarghya Chakrabarti, Liping Wang:
Advances in Bayesian Probabilistic Modeling for Industrial Applications. CoRR abs/2003.11939 (2020) - [i4]Steven Atkinson:
Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data. CoRR abs/2006.04228 (2020) - 2019
- [i3]Steven Atkinson, Waad Subber, Liping Wang, Genghis Khan, Philippe Hawi, Roger G. Ghanem:
Data-driven discovery of free-form governing differential equations. CoRR abs/1910.05117 (2019) - 2018
- [i2]Steven Atkinson, Nicholas Zabaras:
Structured Bayesian Gaussian process latent variable model. CoRR abs/1805.08665 (2018) - [i1]Steven Atkinson, Nicholas Zabaras:
Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion. CoRR abs/1807.04302 (2018)
Coauthor Index
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