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Results for Machine Learning

Publications & Outputs

  1. Monitoring Greenland and Antarctic supraglacial hydrology from space

    Corr, D., 6/01/2024, Lancaster University. 302 p.

    Research output: ThesisDoctoral Thesis

  2. Data-driven optimization for Air Traffic Flow Management with trajectory preferences

    De Giovanni, L., Lancia, C. & Lulli, G., 31/12/2023, (Accepted/In press) In: Transportation Science.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Mass Production Versus Individualisation

    Fagan, D., 22/12/2023, Future Home : Trends, Innovations and Disruptors in Housing Design. Moreno-Rangel, A. & Conroy Dalton, R. (eds.). London: Routledge, 192 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

  4. A Computational Model for Reputation and Ensemble-Based Learning Model for Prediction of Trustworthiness in Vehicular Ad Hoc Network

    Alharthi, A., Ni, Q., Jiang, R. & Khan, M. A., 15/10/2023, In: IEEE Internet of Things Journal. 10, 20, p. 18248-18258 11 p., 20.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Feasibility of Emotions as Features for Suicide Ideation Detection in Social Media

    Arreerard, R. & Piao, S., 16/06/2023.

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

  6. A genetic evolved machine learning approach for 3D DEM modelling of anisotropic materials with full consideration of particulate interactions

    Gu, Z., Ding, X., Hou, X. & Ye, J., 1/02/2023, In: Composites Part B: Engineering. 250, 11 p., 110432.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information

    Debeyan, F., Hall, T. & Bowes, D., 17/11/2022, PROMISE 2022: Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering. McIntosh, S., Shang, W. & Perez, G. R. (eds.). New York: ACM, p. 2-11 10 p.

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

  8. TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements

    Ezzini, S., Abualhaija, S., Arora, C. & Sabetzadeh, M., 7/11/2022, ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Roychoudhury, A., Cadar, C. & Kim, M. (eds.). Association for Computing Machinery (ACM), p. 1677-1681 5 p. (ESEC/FSE 2022 - Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

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

  9. Enhancing Anomaly Detection Techniques for Emerging Threats

    Mills, R., 15/10/2022, Lancaster University. 176 p.

    Research output: ThesisDoctoral Thesis

  10. Data-driven Process Parameter Optimisation for Laser Wire Metal Additive Manufacturing

    Roberts, M., Xia, M. & Kennedy, A., 10/10/2022, Proceedings of the 27th International Conference on Automation & Computing. IEEE, p. 1-6 6 p. 124

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

  11. Identification and Prediction of Pathogenic Microorganisms with Vibrational Spectroscopy and Machine Learning

    Meza Ramirez, C., 1/08/2022, (Unpublished) Lancaster University. 387 p.

    Research output: ThesisDoctoral Thesis

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Activities

  1. Batteries (Journal)

    Denes Csala (Peer reviewer)

    04/2017

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