Mehreen Saeed
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 116 citations into it; #24,522 of 35,345 by trust here, #12,083 by citations
- Computational Theory and Mathematics — 66 citations into it
- Statistics and Probability — 13 citations into it
- Statistical Learning Theory — 11 citations into it
Whom Mehreen Saeed trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mehreen Saeed overall
Papers from Mehreen Saeed's perspective
Ordered by how strongly the researchers Mehreen Saeed trusts endorse each paper. Same corpus, a different order for every researcher.
- Scikit-learn: Machine Learning in Python
- Random Forests
- Random Search for Hyper-Parameter Optimization
- Algorithms for Hyper-Parameter Optimization
- Neural Architecture Search with Reinforcement Learning
- Representation Learning: A Review and New Perspectives
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Greedy function approximation: A gradient boosting machine.
- ImageNet classification with deep convolutional neural networks
- Statistical learning theory
Their papers
- Political Optimizer: A novel socio-inspired meta-heuristic for global optimization (2020) — 518 citations
- Heap-based optimizer inspired by corporate rank hierarchy for global optimization (2020) — 335 citations
- Analysis of the AutoML Challenge Series 2015-2018 (2019) — 189 citations
- Design of the 2015 ChaLearn AutoML challenge (2015) — 135 citations