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Publications & Outputs

  1. Forecasting third-party mobile payments with implications for customer flow prediction

    Ma, S. & Fildes, R., 6/01/2020, In : International Journal of Forecasting. 22 p.

    Research output: Contribution to journalJournal article

  2. Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study

    Winterburn, J. L., Voineskos, A. N., Devenyi, G. A., Plitman, E., de la Fuente-Sandoval, C., Bhagwat, N., Graff-Guerrero, A., Knight, J. & Chakravarty, M. M., 1/12/2019, In : Schizophrenia Research. 214, p. 3-10 8 p.

    Research output: Contribution to journalJournal article

  3. Digital Approaches to Historical Archaeology: Exploring the Geographies of 16th Century New Spain

    Liceras-Garrido, R., Favila-Vázquez, M., Bellamy, K., Murrieta-Flores, P., Jiménez Badillo, D. & Martins, B., 21/11/2019, In : Open Access Journal of Archaeology and Anthropology. 2, 1, 12 p.

    Research output: Contribution to journalJournal article

  4. New evidence for learning-based accounts of gaze following: Testing a robotic prediction

    Silverstein, P., Westermann, G., Parise, E. & Twomey, K., 30/09/2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, p. 302-306 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  5. Looking beyond the hype: Applied AI and machine learning in translational medicine

    Toh, T. S., Dondelinger, F. & Wang, D., 1/09/2019, In : EBioMedicine. 47, p. 607-615 9 p.

    Research output: Contribution to journalJournal article

  6. Toward an effective Igbo part-of-speech tagger

    Onyenwe, I. E., Hepple, M., Chinedu, U. & Ezeani, I., 31/08/2019, In : ACM Transactions on Asian and Low-Resource Language Information Processing. 18, 4, 26 p., 42.

    Research output: Contribution to journalJournal article

  7. Recent Advances in Selection Hyper-heuristics

    Drake, J. H., Kheiri, A., Özcan, E. & Burke, E. K., 7/08/2019, In : European Journal of Operational Research. 285, 2, p. 405-428 24 p.

    Research output: Contribution to journalJournal article

  8. OneBankassure: Customer intimacy through machine learning

    Beath, C. M., Tarafdar, M. & Ross, J. W., 13/12/2018, ICIS2018 Proceedings . AIS Electronic Library

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  9. Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening

    Menou, E., Tancret, F., Toda-Caraballo, I., Ramstein, G., Castany, P., Bertrand, E., Gautier, N. & Rivera Díaz-Del-Castillo, P. E. J., 11/2018, In : Scripta Materialia. 156, p. 120-123 4 p.

    Research output: Contribution to journalJournal article

  10. Software defect prediction: do different classifiers find the same defects?

    Bowes, D., Hall, T. & Petrić, J., 1/06/2018, In : Software Quality Journal. 26, 2, p. 525-552 28 p.

    Research output: Contribution to journalJournal article

  11. Automatic detection and distinction of retinal vessel bifurcations and crossings in colour fundus photography

    Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., Zhao, Y., Coenen, F. & Zheng, Y., 1/01/2018, In : Journal of Imaging. 4, 1, 14 p., 4.

    Research output: Contribution to journalJournal article

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