Marcos Castro
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #29,280 of 35,345 by trust here, #32,362 by citations
- Computational Mechanics — 6 citations into it; #8,161 of 10,001 by trust here, #7,501 by citations
- Applied Mathematics — 5 citations into it; #6,208 of 7,620 by trust here, #4,749 by citations
Whom Marcos Castro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Plamen Parvanov Angelov
- Dinshaw S. Balsara
- Andrew K. Henrick
- Rafael Borges
- Chi-Wang Shu
- Tariq D. Aslam
- Bruno Costa
- Monique Carmona
- Jaka Demsar
Who trusts Marcos Castro overall
Papers from Marcos Castro's perspective
Ordered by how strongly the researchers Marcos Castro trusts endorse each paper. Same corpus, a different order for every researcher.
- Monotonicity Preserving Weighted Essentially Non-oscillatory Schemes with Increasingly High Order of Accuracy
- Deep Learning
- MatConvNet: Convolutional Neural Networks for MATLAB
- Statistical Comparisons of Classifiers over Multiple Data Sets
- DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
- Multi-Label Classification: An Overview
- Mapped weighted essentially non-oscillatory schemes: Achieving optimal order near critical points
- Evolving Intelligent Systems: Methodology and Applications
- An improved weighted essentially non-oscillatory scheme for hyperbolic conservation laws (Journal of Computational Physics)
- Evolving Fuzzy-Rule-Based Classifiers From Data Streams (IEEE transactions on fuzzy systems)
Their papers
- Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios (2019) — 16 citations
- High order weighted essentially non-oscillatory WENO-Z schemes for hyperbolic conservation laws (2011) — 570 citations