Iván Olier

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Iván Olier trusts overall

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

1. David Hilton Wolpert
2. Jaka Demsar
3. Frank Hutter
4. Johannes Fürnkranz
5. Eric Brochu
6. Matthias Feurer
7. Patrícia M. Santos
8. Michael R. Smith
9. Rémi Bardenet
10. Joaquin Vanschoren

Who trusts Iván Olier overall

1. Tian Li
2. Ilias Diakonikolas

Papers from Iván Olier's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Scikit-learn: Machine Learning in Python
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Statistical Comparisons of Classifiers over Multiple Data Sets
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequential Model-Based Optimization for General Algorithm Configuration
8. The WEKA data mining software: an update
9. Reinforcement Learning: An Introduction
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Meta-QSAR: a large-scale application of meta-learning to drug design and discovery (2017) — 87 citations