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All Outputs (6)

Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates (2023)
Journal Article
Contreas, L., Hook, A. L., Winkler, D. A., Figueredo, G., Williams, P., Laughton, C. A., …Williams, P. M. (2023). Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates. ACS Applied Materials and Interfaces, 15(11), 14155-14163. https://doi.org/10.1021/acsami.2c23182

Bacterial infections are increasingly problematic due to the rise of antimicrobial resistance. Consequently, the rational design of materials naturally resistant to biofilm formation is an important strategy for preventing medical device-associated i... Read More about Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates.

Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip (2023)
Journal Article
Vassey, M., Ma, L., Kämmerling, L., Mbadugha, C., Trindade, G. F., Figueredo, G. P., …Alexander, M. R. (2023). Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip. Matter, 6(3), 887-906. https://doi.org/10.1016/j.matt.2023.01.002

To design effective immunomodulatory implants, innate immune cell interactions at the surface of biomaterials need to be controlled and understood. The architectural design freedom of two-photon polymerization is used to produce arrays of surface-mou... Read More about Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip.

Feature importance in machine learning models: A fuzzy information fusion approach (2022)
Journal Article
Rengasamy, D., Mase, J. M., Kumar, A., Rothwell, B., Torres, M. T., Alexander, M. R., …Figueredo, G. P. (2022). Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing, 511, 163-174. https://doi.org/10.1016/j.neucom.2022.09.053

With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Although post-training feature importance approaches assist this interpreta... Read More about Feature importance in machine learning models: A fuzzy information fusion approach.

Speculative document evaluation (2007)
Conference Proceeding
Macdonald, A. J., Brailsford, D. F., Bagley, S. R., & Lumley, J. (2007). Speculative document evaluation.

Optimisation of real world Variable Data printing (VDP) documents is a dicult problem because the interdependencies between layout functions may drastically reduce the number of invariant blocks that can be factored out for pre-rasterisation. This... Read More about Speculative document evaluation.

Evaluating Invariances in Document Layout Functions (2006)
Conference Proceeding
Macdonald, A. J., Brailsford, D. F., & Lumley, J. (2006). Evaluating Invariances in Document Layout Functions. In D. F. Brailsford (Ed.),

With the development of variable-data-driven digital presses - where each document printed is potentially unique - there is a need for pre-press optimization to identify material that is invariant from document to document. In this way rasterisation... Read More about Evaluating Invariances in Document Layout Functions.

Encapsulating and Manipulating Component Object Graphics (COGs) using SVG (2005)
Conference Proceeding
Macdonald, A. J., Brailsford, D. F., & Bagley, S. R. (2005). Encapsulating and Manipulating Component Object Graphics (COGs) using SVG. In P. R. King (Ed.),

Scalable Vector Graphics (SVG) has an imaging model similar to that of PostScript and PDF but the XML basis of SVG allows it to participate fully, via namespaces, in generalised XML documents.There is increasing interest in using SVG as a Page Descri... Read More about Encapsulating and Manipulating Component Object Graphics (COGs) using SVG.