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Results for feature selection

Publications & Outputs

  1. Factors Associated With Momentary Acts of Aggression: An Investigation Using Machine Learning Approaches in Ecological Momentary Assessment Data

    Cheng, Y., Petrides, K. V., Ushakova, A., Ribeaud, D., Eisner, M. & Murray, A., 11/11/2024, (E-pub ahead of print) In: Psychology of Violence. 10 p.

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

  2. A Novel Feature-Based Manufacturability Assessment System for Evaluating Selective Laser Melting and Subtractive Manufacturing Injection Moulding Tool Inserts

    Kashouty, M. F. E., Rennie, A. & Ghazy, M., 22/05/2023, In: Designs. 7, 3, 18 p., 68.

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

  3. MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection

    Xu, Z., Cheng, J., Cheng, L., Xu, X. & Bilal, M., 29/04/2023, In: Computers, Materials and Continua. 75, 3, p. 5573-5595 23 p.

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

  4. A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

    Rodriguez-Rodriguez, I., Rodriguez, J.-V., Woo, W. L., Wei, B. & Pardo-Quiles, D.-J., 16/02/2021, In: Applied Sciences. 11, 4, 20 p., 1742.

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

  5. Estimating Artificial Impervious Surface Percentage in Asia by Fusing Multi-Temporal MODIS and VIIRS Nighttime Light Data

    Li, F., Li, E., Zhang, C., Samat, A., Liu, W., Li, C. & Atkinson, P., 9/01/2021, In: Remote Sensing. 13, 2, p. 1-22 22 p., 212.

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

  6. General Northern English. Exploring regional variation in the North of England with machine learning

    Strycharczuk, P., Lopez-Ibanez, M., Brown, G. & Leemann, A., 15/07/2020, In: Frontiers in Artificial Intelligence: Language and Computation. 4, 18 p., 48.

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

  7. Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength

    Yao, L., Sheng, Q. Z., Li, X., Gu, T., Tan, M., Wang, X., Wang, S. & Ruan, W., 1/02/2018, In: IEEE Transactions on Mobile Computing. 17, 2, p. 293-306 14 p., 7938705.

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