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Results for Machine Learning

Publications & Outputs

  1. Seeding Things No.3

    Southern, J., 10/08/2021

    Research output: Exhibits, objects and web-based outputsExhibition

  2. Practical Intrusion Detection of Emerging Threats

    Mills, R., Marnerides, A., Broadbent, M. & Race, N., 22/06/2021, In: IEEE Transactions on Network and Service Management. 18 p.

    Research output: Contribution to journalJournal articlepeer-review

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

    Finlay, S., 27/05/2021, 4th ed ed. Preston: Relativistic. 236 p.

    Research output: Book/Report/ProceedingsBook

  4. Between the Devil and the Deep Blue Sea: The Application of Machine Learning Towards a New Urban Vernacular in Liverpool’s UNESCO Maritime Mercantile City Buffer Zone

    Fagan, D., 15/04/2021, (Accepted/In press).

    Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

  5. Between the Promenade and the Seafront: A Generative Adversarial Network Methodology for the Transposition of Architectural Style towards a new Building Typology in Morecambe.

    Fagan, D., 15/04/2021, (Accepted/In press).

    Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

  6. Seeding Things No.1

    Southern, J., 8/03/2021

    Research output: Exhibits, objects and web-based outputsExhibition

  7. Automatic Generalised Seizure Detection in Clinical Electroencephalography Records

    Elliott, D., 2021, Lancaster University. 324 p.

    Research output: ThesisDoctoral Thesis

  8. Developing geographically oriented NLP approaches to sixteenth–century historical documents: digging into early colonial Mexico

    Jiménez Badillo, D., Murrieta-Flores, P., Martins, B., Gregory, I., Favila-Vázquez, M. & Liceras-Garrido, R., 31/12/2020, In: Digital Humanities Quarterly. 14, 4, 24 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Opportunities for machine learning and artificial intelligence in national mapping agencies: enhancing ordnance survey workflow

    Murray, J., Sargent, I., Holland, D., Gardiner, A., Dionysopoulou, K., Coupland, S., Hare, J., Zhang, C. & Atkinson, P., 24/08/2020, In: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. p. 185–189 5 p., XLIII-B5-2020.

    Research output: Contribution to journalJournal articlepeer-review

  10. 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/Paperpeer-review

  11. 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/Paperpeer-review

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Activities

  1. Batteries (Journal)

    Denes Csala (Peer reviewer)

    04/2017

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