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Latest staff publications > Displaying [1–20 of 34]

  • Pearce-Casey, R., Nagam, B. C., Wilde, J., Busillo, V., Ulivi, L., Andika, I. T., Manjón-García, A., Leuzzi, L., Matavulj, P., Serjeant, S., Walmsley, M., Acevedo Barroso, J. A., O'Riordan, C. M., Clément, B., Tortora, C., Collett, T. E., Courbin, F., Gavazzi, R., Metcalf, R. B., Cabanac, R., Courtois, H. M., Crook-Mansour, J., Delchambre, L., Despali, G., Ecker, L. R., Franco, A., Holloway, P., Jahnke, K., Mahler, G., Marchetti, L., Melo, A., Meneghetti, M., Müller, O., Nucita, A. A., Pearson, J., Rojas, K., Scarlata, C., Schuldt, S., Sluse, D., Suyu, S. H., Vaccari, M., Vegetti, S., Verma, A., Vernardos, G., Bolzonella, M., Kluge, M., Saifollahi, T., Schirmer, M., Stone, C., Paulino-Afonso, A., Bazzanini, L., Hogg, N. B., Koopmans, L. V. E., Kruk, S., Mannucci, F., Bromley, J. M., Díaz-Sánchez, A., Dickinson, H. J., Powell, D. M., Bouy, H., Laureijs, R., Altieri, B., Amara, A., Andreon, S., Baccigalupi, C., Baldi, M., Balestra, A., Bardelli, S., Battaglia, P., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Caillat, A., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Castellano, M., Castignani, G., Cavuoti, S., Cimatti, A., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Cropper, M., Da Silva, A., Degaudenzi, H., De Lucia, G., Di Giorgio, A. M., Dinas, J., Dubath, F., Dupac, X., Dusini, S., Farina, M., Farrens, S., Faustini, F., Ferriol, S., Frailis, M., Franceschi, E., Galeotta, S., George, K., Gillard, W., Gillis, B., Giocoli, C., Gómez-Alvarez, P., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hook, I., Hormuth, F., Hornstrup, A., Hudelot, P., Jhabvala, M., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kubik, B., Kümmel, M., Kunz, M., Kurki-Suonio, H., Le Mignant, D., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Martinelli, M., Martinet, N., Marulli, F., Massey, R., Medinaceli, E., Mei, S., Melchior, M., Mellier, Y., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Nakajima, R., Neissner, C., Nichol, R. C., Niemi, S. M., Nightingale, J. W., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, G., Popa, L. A., Pozzetti, L., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sakr, Z., Sánchez, A. G., Sapone, D., Sartoris, B., Schneider, P., Schrabback, T., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Steinwagner, J., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Verdoes Kleijn, G., Veropalumbo, A., Wang, Y., Weller, J., Zamorani, G., Zucca, E., Burigana, C., Calabrese, M., Mora, A., Pöntinen, M., Scottez, V., Viel, M. and Margalef-Bentabol, B., 2025, ‘Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field’, Astronomy & Astrophysics, 696, https://oro.open.ac.uk/104244/.
  • Pearce-Casey, R., Dickinson, H., Serjeant, S. and Bromley, J. M., 2023, ‘Using cGANs for Anomaly Detection: Identifying Astronomical Anomalies in JWST Imaging’, Research Notes of the AAS, 7(10), https://oro.open.ac.uk/93819/.
  • Rojas, K., Collett, T. E., Ballard, D., Magee, M. R., Birrer, S., Buckley-Geer, E., Chan, J. H. H., Clément, B., Diego, J. M., Gentile, F., González, J., Joseph, R., Mastache, J., Schuldt, S., Tortora, C., Verdugo, T., Verma, A., Daylan, T., Millon, M., Jackson, N., Dye, S., Melo, A., Mahler, G., Ogando, R. L. C., Courbin, F., Fritz, A., Herle, A., Barroso, J. A. A., Cañameras, R., Cornen, C., Dhanasingham, B., Glazebrook, K., Martinez, M. N., Ryczanowski, D., Savary, E., Góis-Silva, F., Ureña-López, L. A., Wiesner, M. P., Wilde, J., Calçada, G. V., Cabanac, R., Pan, Y., Sierra, I., Despali, G., Cavalcante-Gomes, M. V., Macmillan, C., Maresca, J., Grudskaia, A., O’Donnell, J. H., Paic, E., Niemiec, A., de la Bella, L. F., Bromley, J. M., Williams, D. M., More, A. and Levine, B. 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., https://oro.open.ac.uk/89839/.
  • Wilde, J., Serjeant, S., Bromley, J. M., Dickinson, H., Koopmans, L. V. E. and Metcalf, R. B., 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., https://oro.open.ac.uk/82735/.
  • Lauritsen, L., Dickinson, H., Bromley, J., Serjeant, S., Lim, C., Gao, Z. and Wang, W., 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., https://oro.open.ac.uk/78404/.
  • Johnson, J., Denning, P., Delic, K. and Bromley, J., 2020, ‘COVID-19 and computation for policy’, Ubiquity, 2020(October), pp. 1–14., https://oro.open.ac.uk/73536/.
  • Davies, A., Serjeant, S. and Bromley, J. 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., https://oro.open.ac.uk/61489/.
  • Johnson, J., Fortune, J. and Bromley, J., 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., https://oro.open.ac.uk/44399/.
  • Johnson, J., Fortune, J. and Bromley, J. 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., https://oro.open.ac.uk/48475/.
  • Bromley, J. M., King, D. and Morse, D. R., 2014, ‘Finding agriculture among biodiversity: metadata in practice’, in 8th Metadata and Semantics Research Conference (MTSR 2014), 27-29 Nov 2014, Karlsruhe., https://oro.open.ac.uk/41117/.
  • Johnson, J., Jimenez-Romero, C., Rodrigues, D. and Bromley, J. M., 2014, ‘Hypernetwork-based peer marking for scalable certificated mass education’, in European Conference on Complex Systems 2014, 22-26 Sep 2014, Lucca, Italy., https://oro.open.ac.uk/41118/.
  • Morse, D., Bromley, J. and King, D., 2013, ‘agINFRA - where agriculture, biodiversity and information technology meet’, in TDWG 2013, 27 Oct - 1 Nov 2013, Florence, Italy., https://oro.open.ac.uk/39136/.
  • Johnson, J., Buckingham Shum, S., Willis, A., Bishop, S., Zamenopoulos, T., Swithenby, S., MacKay, R., Merali, Y., Lorincz, A., Costea, C., Bourgine, P., Louçã, J., Kapenieks, A., Kelly, P., Caird, S., Bromley, J., Deakin Crick, R., Goldspink, C., Collet, P., Carbone, A. and Helbing, D., 2012, ‘The FuturICT education accelerator’, European Physical Journal - Special Topics, 214 pp. 215–243., https://oro.open.ac.uk/35353/.
  • Guyon, I., Bromley, J. M., Matić, N., Schenkel, M. and Weissman, H., 1996, ‘Penacée: a neural net system for recognizing on-line handwriting’, in Domany, E.; Van Hemmen, J. L. and Schulten, K. eds. Models of Neural Networks III: Association, Generalization and Representation. Physics of Neural Networks, 3. New York: Springer, pp. 255–279., https://oro.open.ac.uk/35667/.
  • Bromley, J. M., Guyon, I., LeCun, Y., Sackinger, E. and Shah, R., 1994, ‘Signature verification using a Siamese time delay neural network’, in 7th Annual Neural Information Processing Systems Conference, 29 Nov - 02 Dec 1993, Denver., https://oro.open.ac.uk/39214/.
  • Jackel, L. D., Battista, M. Y., Ben, J., Bromley, J., Burges, C. J. C., Baird, H. S., Cosatto, E., Denker, J. S., Graf, H. P., Katseff, H. P., Le Cun, Y., Nohl, C. R., Sackinger, E., Shamilian, J. H., Shoemaker, T., Stenard, C. E., Strom, B. I., Ting, R., Wood, T. and Zuraw, C. R., 1994, ‘Neural network applications in character recognition and document analysis’, in Yuhas, Ben and Ansari, Nirwan eds. Neural Networks in Telecommunications. Boston: Kluwer Academic Publishers, pp. 271–285., https://oro.open.ac.uk/35670/.
  • Bromley, J. and Denker, J. S., 1993, ‘Improving rejection performance on handwritten digits by training with “rubbish”’, Neural computation, 5(3), pp. 367–370., https://oro.open.ac.uk/35665/.
  • Bromley, J., Bentz, J. W., Bottou, L., Guyon, I., LeCun, Y., Moore, C., Säckinger, E. and Shah, R., 1993, ‘Signature verification using a"Siamese" time delay neural network’, International Journal of Pattern Recognition and Artificial Intelligence, 7(4), pp. 669–688., https://oro.open.ac.uk/35662/.
  • Alkhateeb, W., Bromley, J. M., Humphreys, G. W., Javadnia, A., Riddoch, M. J. and Ruddock, K. H., 1992, ‘Abnormal responses to multielement spatial stimuli in a subject with visual form agnosia’, Clinical Vision Sciences, 7(3), pp. 163–173., https://oro.open.ac.uk/35678/.
  • Matan, O., Baird, H. S., Bromley, J. M., Burges, C. J. C., Denker, J. S., Jackel, L. D., Le Cun, Y., Pednault, E. P. D., Satterfield, W. D., Stenard, C. E. and Thompson, T. J., 1992, ‘Reading handwritten digits: a ZIP code recognition system’, Computer, 25(7), pp. 59–63., https://oro.open.ac.uk/35664/.