Results for machine learning

Publications & Outputs

1. Accommodating machine learning algorithms in professional service firms

   Faulconbridge, J., Sarwar, A. & Spring, M., 31/07/2024, In: Organization Studies. 45, 7, p. 1009-1037 29 p.

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

2. Data-Driven Optimization for Air Traffic Flow Management with Trajectory Preferences

   De Giovanni, L., Lancia, C. & Lulli, G., 31/03/2024, In: Transportation Science. 58, 2, p. 540-556 17 p.

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

3. Optimizing adjuvant treatment options for patients with glioblastoma

   Zhu, E., Wang, J., Shi, W., Jing, Q., Ai, P., Shan, D. & Ai, Z., 21/02/2024, In: Frontiers in Neurology. 15, 1326591.

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

4. The uncontroversial ‘thingness’ of AI

   Suchman, L., 31/12/2023, In: Big Data and Society. 10, 2

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

5. Recent Advances in Machine Learning for Network Automation in the O-RAN

   Q. Hamdan, M., Lee , H., Triantafyllopoulou, D., Borralho, R., Kose, A., Amiri, E., Mulvey, D., Yu, W., Zitouni, R., Pozza, R., Hunt, B., Bagheri, H., Foh, C. H., Heliot, F., Chen, G., Xiao, P., Wang, N. & Tafazolli, R., 28/10/2023, In: Sensors. 23, 21, 8792.

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

6. Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling

   Yin, Y., Tian, Y., Ding, J., Mitchell, T. & Qin, J., 24/10/2023, In: Sensors. 23, 21, 8687.

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

7. Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates

   Saberi, S., Nasiri, H., Ghorbani, O., Friswell, M. I. & Castro, S. G. P., 31/07/2023, In: Materials. 16, 15, 5381.

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

8. Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “conscious lab” development

   Fatahi, R., Nasiri, H., Homafar, A., Khosravi, R., Siavoshi, H. & Chehreh Chelgani, S., 31/07/2023, In: Particulate Science and Technology. 41, 5, p. 715-724 10 p.

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

9. Comprehensive Evaluations of Student Performance Estimation via Machine Learning

   Mohammad, A. S., Al-Kaltakchi, M. T. S., Alshehabi Al-Ani, J., Chambers, J. A. & Kang, Z. (Editor), 18/07/2023, In: Mathematics. 11, 14, 3153.

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

10. Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods

    Farzipour, A., Elmi, R. & Nasiri, H., 17/07/2023, In: Diagnostics. 13, 14, 2391.

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

11. A Design-Led Exploration of Material Interactions between Machine Learning and Digital Portraiture

    Green, D. P., Lindley, J., Mason, Z. & Coulton, P., 6/11/2022, [ ] With Design: Reinventing Design Modes: Proceedings of the 9th Congress of the International Association of Societies of Design Research (IASDR 2021). Bruyns, G. & Wei, H. (eds.). Singapore: Springer, p. 3268-3283 16 p. (IASDR: Congress of the International Association of Societies of Design Research; vol. 9).

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

More results »

Activities

1. XAI Explainability for AEC - The Parametric Social Distance Lab

   Fagan, D. (Speaker)

   2/12/2022

   Activity: Talk or presentation types › Invited talk