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Results for Machine Learning

Publications & Outputs

  1. FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

    Moss, H. B., Moore, A., Leslie, D. S. & Rayson, P., 30/07/2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg PA: Association for Computational Linguistics, p. 2920-2930 11 p.

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

  2. Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases

    Alsudias, L. & Rayson, P., 22/07/2019, Proceedings of the 3rd Workshop on Arabic Corpus Linguistics: (WACL-3). Association for Computational Linguistics, 9 p.

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

  3. Forget the Singularity, its mundane artificial intelligence that should be our immediate concern

    Pilling, F. & Coulton, P., 1/06/2019, In : The Design Journal. 22, Suppl. 1, p. 1135-1146 12 p.

    Research output: Contribution to journalJournal article

  4. 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

  5. Machine learning for dynamic incentive problems

    Renner, P. & Scheidegger, S., 11/2017, Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series).

    Research output: Working paper

  6. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

    Finlay, S. M., 28/05/2017, 2nd ed. UK: Relativistic. 150 p.

    Research output: Book/Report/ProceedingsBook

  7. Minimizing the cost of iterative compilation with active learning

    Ogilvie, W., Petoumenos, P., Wang, Z. & Leather, H., 4/02/2017, International Symposium on Code Generationand Optimization (CGO), 2017. IEEE, p. 245-256 12 p.

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

  8. A transfer learning-aided decision support system for multi-cloud brokers

    Samreen, F., 2017, Lancaster University. 214 p.

    Research output: ThesisDoctoral Thesis

  9. Learning tone and attribution for financial text mining

    El-Haj, M., Rayson, P. E., Young, S. E., Walker, M., Moore, A., Athanasakou, V. & Schleicher, T., 23/05/2016, Proceedings of LREC 2016, Tenth International Conference on Language Resources and Evaluation. Calzolari, N., Choukri, K., Declerck, T., Grobelnik, M., Maegaard, B., Mariani, J., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 1820-1825 6 p.

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

  10. What is the impact of imbalance on software defect prediction performance?

    Mahmood, Z., Bowes, D., Lane, P. C. R. & Hall, T., 21/10/2015, PROMISE '15 Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering. New York: Association for Computing Machinery, Inc, 4

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

Activities

  1. Batteries (Journal)

    Denes Csala (Peer reviewer)
    04/2017

    Activity: Publication peer-review and editorial work typesPublication peer-review