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Research

Results for Machine Learning

Activities

  1. Batteries (Journal)

    Csala, D. (Peer reviewer)

    04/2017

    Activity: Publication peer-review and editorial work types › Publication peer-review

Publications & Outputs

  1. Transfer learning for galaxy feature detection: Finding giant star-forming clumps in low-redshift galaxies using Faster Region-based Convolutional Neural Network

    Popp, J. J., Dickinson, H., Serjeant, S., Walmsley, M., Adams, D., Fortson, L., Mantha, K., Mehta, V., Dawson, J. M., Kruk, S. & Simmons, B., 31/12/2024, In: RAS Techniques and Instruments. 3, 1, p. 174-197 24 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing

    Hou, B. J., Newn, J., Sidenmark, L., Khan, A. A. & Gellersen, H., 22/03/2024, (Accepted/In press) In: Proceedings of the ACM on Human-Computer Interaction. 8

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Monitoring Greenland and Antarctic supraglacial hydrology from space

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

    Research output: Thesis › Doctoral Thesis

  4. 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/ISSN › Chapter (peer-reviewed) › peer-review

  5. 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/Magazine › Journal article › peer-review

  6. 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 paper › peer-review

  7. 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/Magazine › Journal article › peer-review

  8. Digital Twin-Enhanced Methodology for Training Edge-Based Models for Cyber Security Applications.

    Allison, D., Smith, P. & McLaughlin, K., 15/12/2022, 2022 IEEE 20th International Conference on Industrial Informatics, INDIN 2022. IEEE, p. 226-232 7 p. (IEEE International Conference on Industrial Informatics (INDIN); vol. 2022-July).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. 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/ISSN › Conference contribution/Paper › peer-review

  10. 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/ISSN › Conference contribution/Paper › peer-review

  11. Enhancing Anomaly Detection Techniques for Emerging Threats

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

    Research output: Thesis › Doctoral Thesis

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