Saleem Ullah
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Saleem Ullah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Prasad S. Thenkabail
- Andrew K. Skidmore
- Martin Schlerf
- Roshanak Darvishzadeh
- Ronald B. Smith
- Jerome H. Friedman
- Robert Tibshirani
Who trusts Saleem Ullah overall
Papers from Saleem Ullah's perspective
Ordered by how strongly the researchers Saleem Ullah trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Regression Shrinkage and Selection via the Lasso
- Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
- Greedy function approximation: A gradient boosting machine.
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
- Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
- Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
- Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations
Their papers
- COVID-19 Future Forecasting Using Supervised Machine Learning Models (2020) — 423 citations
- Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques (2021) — 338 citations
- Retrieval of leaf water content spanning the visible to thermal infrared spectra (2014) — 116 citations
- Identifying plant species using mid-wave infrared (2.5–6 μm) and thermal infrared (8–14 μm) emissivity spectra (2012) — 151 citations