Chancellery Research - Research Publications
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ItemNo Preview AvailableObjects of fame(The Grainger Museum, University of Melbourne and The Victorian Arts Centre Trust, 2018)Melbourne produced two international stars of classical music – Dame Nellie Melba and Percy Grainger – in the decades surrounding Federation. Adopting a name in honour of her home town, Nellie Melba made her professional debut in 1887 and became hailed as the greatest opera singer of her time. Percy Grainger was a child prodigy who forged a career of pianistic brilliance and musical innovation as the new century unfolded. Each conquered the world’s great stages, enjoyed royal approbation and public fascination. The musical talents of Melba and Grainger, who had both family and professional connections, were matched only by the fame they engendered. Stampeding their way into popular consciousness as early media-assisted celebrities, they created rich intellectual and material legacies. Objects of Fame showcased these two extraordinary Australians, drawing on objects from Arts Centre Melbourne’s Australian Performing Arts Collection (APAC), and the Grainger Museum. With 221 collection objects on display. this exhibition also offered opportunities to consider fame in the context of today’s technology-focused culture that allows performers to become ‘famous’ in ways that Grainger and Melba could never have conceived.
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ItemThe Living Instruments Project: Sharing sounds of heritage instruments in the Grainger Museum Collection(Australasian Sound Recordings Association, 2022-01-01)The Living Instruments project aims to digitally preserve the sound of the fragile Grainger instrument collection, but it also presents a way of transforming the relationship between musical artefacts and their cultural value with a diverse group of people including contemporary makers. The Living Instruments project emerged in the nexus of teaching, learning, and research activity in the Faculty of Fine Arts and Music, and the stewardship of Percy Grainger’s historic instruments held in the Grainger Museum, at the University of Melbourne. It aims to provide greater research opportunities and creative engagement with the instruments through an interactive platform of sonic resources. This paper provides an overview of the stimulus for the Living Instruments project and shares the stages of the research journey and public outcomes.
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ItemCompetitive Triplet Formation and Recombination in Crystalline Films of Perylenediimide Derivatives: Implications for Singlet Fission(AMER CHEMICAL SOC, 2020-05-28)Developing photostable compounds that undergo quantitative singlet fission (SF) is a key challenge. As SF necessitates electron transfer between neighboring molecules, the SF rate is highly sensitive to intermolecular coupling in the solid state. We investigate SF in thin films for a series of perylenediimide (PDI) molecules. By adding different substituents at the imide positions, the packing of the molecules in the solid state can be changed. The relationship between SF parameters and the stacked geometry in PDI films is investigated, with two-electron direct coupling found to be the main SF mechanism. Time-resolved emission and transient absorption data show that all of the PDI films undergo SF although with different rates and yields varying from 35 to 200%. The results show that PDI1 and 2, which are stacked PDI pairs twisted out of alignment along the highest occupied molecular orbital to lowest unoccupied molecular orbital transition, exhibit faster and more efficient SF up to 200% yield. We demonstrate that both triplet formation and decay rates are highly sensitive to the ordering of the molecules within a film. The results of this study will assist in the design of optimized structures with a fast SF rate and low recombination rate that are required for useful light harvesting applications.
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ItemBenchmarks for measurement of duplicate detection methods in nucleotide databases(OXFORD UNIV PRESS, 2023-12-18)UNLABELLED: Duplication of information in databases is a major data quality challenge. The presence of duplicates, implying either redundancy or inconsistency, can have a range of impacts on the quality of analyses that use the data. To provide a sound basis for research on this issue in databases of nucleotide sequences, we have developed new, large-scale validated collections of duplicates, which can be used to test the effectiveness of duplicate detection methods. Previous collections were either designed primarily to test efficiency, or contained only a limited number of duplicates of limited kinds. To date, duplicate detection methods have been evaluated on separate, inconsistent benchmarks, leading to results that cannot be compared and, due to limitations of the benchmarks, of questionable generality. In this study, we present three nucleotide sequence database benchmarks, based on information drawn from a range of resources, including information derived from mapping to two data sections within the UniProt Knowledgebase (UniProtKB), UniProtKB/Swiss-Prot and UniProtKB/TrEMBL. Each benchmark has distinct characteristics. We quantify these characteristics and argue for their complementary value in evaluation. The benchmarks collectively contain a vast number of validated biological duplicates; the largest has nearly half a billion duplicate pairs (although this is probably only a tiny fraction of the total that is present). They are also the first benchmarks targeting the primary nucleotide databases. The records include the 21 most heavily studied organisms in molecular biology research. Our quantitative analysis shows that duplicates in the different benchmarks, and in different organisms, have different characteristics. It is thus unreliable to evaluate duplicate detection methods against any single benchmark. For example, the benchmark derived from UniProtKB/Swiss-Prot mappings identifies more diverse types of duplicates, showing the importance of expert curation, but is limited to coding sequences. Overall, these benchmarks form a resource that we believe will be of great value for development and evaluation of the duplicate detection or record linkage methods that are required to help maintain these essential resources. DATABASE URL: : https://bitbucket.org/biodbqual/benchmarks.
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ItemNo Preview AvailableOn the impact of initialisation strategies on Maximum Flow algorithm performance(PERGAMON-ELSEVIER SCIENCE LTD, 2024-03)
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ItemNo Preview AvailableDirective Explanations for Actionable Explainability in Machine Learning Applications(ASSOC COMPUTING MACHINERY, 2023-12)In this article, we show that explanations of decisions made by machine learning systems can be improved by not only explaining why a decision was made but also explaining how an individual could obtain their desired outcome. We formally define the concept of directive explanations (those that offer specific actions an individual could take to achieve their desired outcome), introduce two forms of directive explanations (directive-specific and directive-generic), and describe how these can be generated computationally. We investigate people’s preference for and perception toward directive explanations through two online studies, one quantitative and the other qualitative, each covering two domains (the credit scoring domain and the employee satisfaction domain). We find a significant preference for both forms of directive explanations compared to non-directive counterfactual explanations. However, we also find that preferences are affected by many aspects, including individual preferences and social factors. We conclude that deciding what type of explanation to provide requires information about the recipients and other contextual information. This reinforces the need for a human-centered and context-specific approach to explainable AI.
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ItemNo Preview AvailableThe Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures(ASSOC COMPUTING MACHINERY, 2024-01)Measurement of the effectiveness of search engines is often based on use of relevance judgments. It is well known that judgments can be inconsistent between judges, leading to discrepancies that potentially affect not only scores but also system relativities and confidence in the experimental outcomes. We take the perspective that the relevance judgments are an amalgam of perfect relevance assessments plus errors; making use of a model of systematic errors in binary relevance judgments that can be tuned to reflect the kind of judge that is being used, we explore the behavior of measures of effectiveness as error is introduced. Using a novel methodology in which we examine the distribution of “true” effectiveness measurements that could be underlying measurements based on sets of judgments that include error, we find that even moderate amounts of error can lead to conclusions such as orderings of systems that statistical tests report as significant but are nonetheless incorrect. Further, in these results the widely used recall-based measures AP and NDCG are notably more fragile in the presence of judgment error than is the utility-based measure RBP, but all the measures failed under even moderate error rates. We conclude that knowledge of likely error rates in judgments is critical to interpretation of experimental outcomes.
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ItemNo Preview AvailableGenerating Dynamic Kernels via Transformers for Lane Detection(IEEE, 2023-01-01)
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ItemNo Preview AvailableNear-Wall Flow Statistics in High-Reτ Drag-Reduced Turbulent Boundary Layers(SPRINGER, 2023-01-01)