Dr Jane Bromley

Lecturer in Cyber Security


Publications

Pearce-Casey, Ruby, Dickinson, Hugh, Serjeant, Stephen and Bromley, Jane M. ,(2023). Using cGANs for Anomaly Detection: Identifying Astronomical Anomalies in JWST Imaging. Research Notes of the AAS, 7(10),

Rojas, Karina, Collett, Thomas E, Ballard, Daniel, Magee, Mark R, Birrer, Simon, Buckley-Geer, Elizabeth, Chan, James H H, Clément, Benjamin, Diego, José M, Gentile, Fabrizio, González, Jimena, Joseph, Rémy, Mastache, Jorge, Schuldt, Stefan, Tortora, Crescenzo, Verdugo, Tomás, Verma, Aprajita, Daylan, Tansu, Millon, Martin, Jackson, Neal, Dye, Simon, Melo, Alejandra, Mahler, Guillaume, Ogando, Ricardo L C, Courbin, Frédéric, Fritz, Alexander, Herle, Aniruddh, Barroso, Javier A Acevedo, Cañameras, Raoul, Cornen, Claude, Dhanasingham, Birendra, Glazebrook, Karl, Martinez, Michael N, Ryczanowski, Dan, Savary, Elodie, Góis-Silva, Filipe, Ureña-López, L Arturo, Wiesner, Matthew P, Wilde, Joshua, Calçada, Gabriel Valim, Cabanac, Rémi, Pan, Yue, Sierra, Isaac, Despali, Giulia, Cavalcante-Gomes, Micaele V., Macmillan, Christine, Maresca, Jacob, Grudskaia, Aleksandra, O’Donnell, Jackson H., Paic, Eric, Niemiec, Anna, de la Bella, Lucia F., Bromley, Jane M., Williams, Devon M., More, Anupreeta and Levine, Benjamin C. ,(2023). The impact of human expert visual inspection on the discovery of strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 523 pp. 4413–4430.

Wilde, Joshua, Serjeant, Stephen, Bromley, Jane M, Dickinson, Hugh, Koopmans, Léon V E and Metcalf, R Benton ,(2022). Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations. Monthly Notices of the Royal Astronomical Society, 512(3), pp. 3464–3479.

Lauritsen, Lynge, Dickinson, Hugh, Bromley, Jane, Serjeant, Stephen, Lim, Chen-Fatt, Gao, Zhen-Kai and Wang, Wei-Hao ,(2021). Super-resolving Herschel imaging: a proof of concept using Deep Neural Networks. Monthly Notices of the Royal Astronomical Society, 507(1), pp. 1546–1556.

Johnson, Jeffrey, Denning, Peter, Delic, Kemal and Bromley, Jane ,(2020). COVID-19 and computation for policy. Ubiquity, 2020(October), pp. 1–14.

Davies, Andrew, Serjeant, Stephen and Bromley, Jane M. ,(2019). Using Convolutional Neural Networks to identify Gravitational Lenses in Astronomical images. Monthly Notices of the Royal Astronomical Society, 487(4), pp. 5263–5271.

Johnson, Jeffrey, Fortune, Joyce and Bromley, Jane M. ,(2017). Systems, Networks and Policy. In: Johnson, Jeffrey; Nowak, Andrzej; Ormerod, Paul; Rosewell, Bridget and Zhang, Yi-Chang eds. Non-Equilibrium Social Science and Policy: Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking. Understanding Complex Systems. Cham, Switzerland: Springer, pp. 111–134.

Johnson, Jeffrey, Fortune, Joyce and Bromley, Jane ,(2018). Multilevel systems and policy. In: Mitleton-Kelly, Eve; Paraskevas, Alexandros and Day, Christopher eds. Handbook of Research Methods in Complexity Science: Theory and Applications. Cheltenham, UK: Edward Elgar Publishing Ltd, pp. 363–387.

Bromley, J. and Sackinger, E. ,(1991). Neural-Network and k-Nearest-neighbor Classifiers. AT&T Bell Laboratories.

Bromley, Jane M., King, David and Morse, David R. ,(2014). Finding agriculture among biodiversity: metadata in practice. In: 8th Metadata and Semantics Research Conference (MTSR 2014), 27-29 Nov 2014, Karlsruhe.