| An Information Theoretic Feature Selection Framework for Big Data under Apache Spark | Oct 13, 2016 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| Building robust prediction models for defective sensor data using Artificial Neural Networks | Apr 16, 2018 | Data Augmentationfeature selection | —Unverified | 0 |
| A High Accuracy Image Hashing and Random Forest Classifier for Crack Detection in Concrete Surface Images | Jun 10, 2021 | Edge Detectionfeature selection | —Unverified | 0 |
| Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction | Dec 10, 2021 | feature selectionTime Series | —Unverified | 0 |
| Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework | May 16, 2019 | feature selectionIntrusion Detection | —Unverified | 0 |
| An information theoretic approach to quantify the stability of feature selection and ranking algorithms | Feb 7, 2024 | feature selection | —Unverified | 0 |
| Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization | Jan 1, 2025 | feature selection | —Unverified | 0 |
| Ensemble approach for detection of depression using EEG features | Mar 7, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Broad Learning for Healthcare | Mar 23, 2018 | feature selectionNetwork Embedding | —Unverified | 0 |
| An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data | Oct 8, 2019 | feature selection | —Unverified | 0 |
