Outputs (276)

Random walk in cooling random environment: recurrence versus transience and mixed fluctuations (2022)
Journal Article
Avena, L., Chino, Y., da Costa, C., & den Hollander, F. (2022). Random walk in cooling random environment: recurrence versus transience and mixed fluctuations. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 58(2), 967-1009. https://doi.org/10.1214/21-aihp1184

This is the third in a series of papers in which we consider one-dimensional Random Walk in Cooling Random Environment (RWCRE). The latter is obtained by starting from one-dimensional Random Walk in Random Environment (RWRE) and resampling the enviro... Read More about Random walk in cooling random environment: recurrence versus transience and mixed fluctuations.

The role of population size in folk tune complexity (2022)
Journal Article
Street, S., Eerola, T., & Kendal, J. (2022). The role of population size in folk tune complexity. Humanities and Social Sciences Communications, 9, Article 152. https://doi.org/10.1057/s41599-022-01139-y

Demography, particularly population size, plays a key role in cultural complexity. However, the relationship between population size and complexity appears to vary across domains: while studies of technology typically find a positive correlation, the... Read More about The role of population size in folk tune complexity.

ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR (2022)
Journal Article
Shakeel, A., Walters, R. J., Ebmeier, S. K., & Moubayed, N. A. (2022). ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR. IEEE Transactions on Geoscience and Remote Sensing, 60, https://doi.org/10.1109/tgrs.2022.3169455

In this study, we address the challenging problem of automatic detection of transient deformation of the Earth’s crust in time series of differential satellite radar [interferometric synthetic aperture radar (InSAR)] images. The detection of these ev... Read More about ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR.

Universal scaling for the permeability of random packs of overlapping and nonoverlapping particles (2022)
Journal Article
Vasseur, J., Wadsworth, F. B., Bretagne, E., & Dingwell, D. B. (2022). Universal scaling for the permeability of random packs of overlapping and nonoverlapping particles. Physical Review E, 105(4), Article L043301. https://doi.org/10.1103/physreve.105.l043301

Constraining fluid permeability in porous media is central to a wide range of theoretical, industrial, and natural processes. In this Letter, we validate a scaling for fluid permeability in random and lattice packs of spheres and show that the permea... Read More about Universal scaling for the permeability of random packs of overlapping and nonoverlapping particles.

Music and the Queer Body in English Literature at the Fin de Siècle (2022)
Book
Riddell, F. (2022). Music and the Queer Body in English Literature at the Fin de Siècle. Cambridge University Press. https://doi.org/10.1017/9781108989541

Drawing on an ambitious range of interdisciplinary material, including literature, musical treatises and theoretical texts, Music and the Queer Body explores the central place music held for emergent queer identities in the late-nineteenth and early-... Read More about Music and the Queer Body in English Literature at the Fin de Siècle.

Enhanced Methods for Evolution in-Materio Processors (2022)
Presentation / Conference Contribution
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2023, November). Enhanced Methods for Evolution in-Materio Processors. Presented at IEEE International Conference on Rebooting Computing (ICRC 2021), Virtual

Evolution-in-Materio (EiM) is an unconventional computing paradigm, which uses an Evolutionary Algorithm (EA) to configure a material's parameters so that it can perform a computational task. While EiM processors show promise, slow manufacturing and... Read More about Enhanced Methods for Evolution in-Materio Processors.

Social theory and methodology in education research: From conceptualisation to operationalisation (2022)
Book Chapter
Murphy, M., & Costa, C. (2022). Social theory and methodology in education research: From conceptualisation to operationalisation. In M. Murphy (Ed.), Social Theory and Education Research Understanding Foucault, Habermas,Bourdieu and Derrida (24-43). (2nd Edition). Routledge. https://doi.org/10.4324/9781003156550-3

This chapter argues that the field of education should consider more fully the ways in which social theory is utilised in contemporary forms of education research. At the centre of this consideration should be a concern to develop a form of critical... Read More about Social theory and methodology in education research: From conceptualisation to operationalisation.

The Online Response of Higher Education to the Pandemic: A Snapshot of International Students’ Experiences in the UK (2022)
Report
Costa, C., & Li, H. (2022). The Online Response of Higher Education to the Pandemic: A Snapshot of International Students’ Experiences in the UK. [No known commissioning body]

Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations (2022)
Presentation / Conference Contribution
Watson, M., Awwad Shiekh Hasan, B., & Al Moubayed, N. (2022, January). Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. Presented at Proc. Winter Conference on Applications of Computer Vision, Waikoloa, HI

Deep Learning of neural networks has progressively become more prominent in healthcare with models reaching, or even surpassing, expert accuracy levels. However, these success stories are tainted by concerning reports on the lack of model transparenc... Read More about Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations.

Measuring Hidden Bias within Face Recognition via Racial Phenotypes (2022)
Presentation / Conference Contribution
Yucer, S., Tekras, F., Al Moubayed, N., & Breckon, T. (2022, January). Measuring Hidden Bias within Face Recognition via Racial Phenotypes. Presented at Proc. Winter Conference on Applications of Computer Vision, Waikoloa, HI

Recent work reports disparate performance for intersectional racial groups across face recognition tasks: face verification and identification. However, the definition of those racial groups has a significant impact on the underlying findings of such... Read More about Measuring Hidden Bias within Face Recognition via Racial Phenotypes.