Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject feature selection
Showing results 1 to 7 of 7
| Issue Date | Title | Author(s) |
| 28-Jul-2025 | Energy Consumption Prediction and Feature Contribution Analysis of Unmanned Mining Trucks Based on XGBoost and SHAP | Cao, G; Chen, D; Zhao, H; Zeng, M; Chen, T |
| 5-Apr-2022 | Intrinsic dimension estimation-based feature selection and multinomial logistic regression for classification of bearing faults using compressively sampled vibration signals | Ahmed, HOA; Nandi, AK |
| 1-Mar-2018 | Large-dimensionality small-instance set feature selection: a hybrid bio-inspired heuristic approach | Zawbaa, H; Grosan, C; Snasel, V |
| 24-Jan-2025 | A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys | Fatimi, SH; Wang, Z; Chang, ITH; Liu, W; Liu, X |
| 29-Jul-2025 | NRBO-AGP: A Novel Feature Selection Approach for Accurate Protein Solubility Prediction | Elmi, Z; Elmi, S; Danishvar, S |
| 19-Aug-2016 | Predicting movie success with machine learning techniques: ways to improve accuracy | Lee, K; Park, J; Kim, I; Choi, Y |
| 25-Aug-2021 | Transmission line fault-cause identification based on hierarchical multiview feature selection | Jian, S; Peng, X; Yuan, H; Lai, CS; Lai, LL |
