Mahmudul Hasan
Artificial Intelligence · with Alam · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
Whom Mahmudul Hasan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire (in Artificial Intelligence)
- Balázs Harangi (in Artificial Intelligence)
Papers from Mahmudul Hasan's perspective
Ordered by how strongly the researchers Mahmudul Hasan trusts endorse each paper. Same corpus, a different order for every researcher.
- Dropout: a simple way to prevent neural networks from overfitting
- Random Forests
- XGBoost: A Scalable Tree Boosting System
- k-Nearest Neighbour Classifiers
- Searching for Activation Functions
- Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition
- A survey of cross-validation procedures for model selection
- The diagnostic odds ratio: a single indicator of test performance. (Journal of Clinical Epidemiology)
- IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.
- Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus
Their papers
- Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers (2020) — 451 citations