Daniel Garijo

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Optimization & Training — 5 citations into it

Whom Daniel Garijo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Matthias Feurer
2. Frank Hutter

Who trusts Daniel Garijo overall

1. Marc-André Zöller

Papers from Daniel Garijo's perspective

Ordered by how strongly the researchers Daniel Garijo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Scikit-learn: Machine Learning in Python
2. Efficient and Robust Automated Machine Learning
3. Sequential Model-Based Optimization for General Algorithm Configuration
4. Initializing Bayesian Hyperparameter Optimization via Meta-Learning
5. Ensemble selection from libraries of models
6. Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
7. Probabilistic Matrix Factorization for Automated Machine Learning
8. Metalearning: a survey of trends and technologies
9. P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning
10. A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention

Their papers

• The genetic architecture of the human cerebral cortex (2020) — 777 citations
• Towards human-guided machine learning (2019) — 92 citations
• P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning (2018)
• PROV-O: The PROV Ontology (2013) — 769 citations