V. Magnanimo

Civil and Structural Engineering · 2019

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

• Civil and Structural Engineering — 8 citations into it
• Computational Mechanics — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom V. Magnanimo trusts

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

1. Michael I. Jordan (in Artificial Intelligence)
2. Simo Särkkä (in Artificial Intelligence)
3. C. Coetzee (in Civil and Structural Engineering)

Papers from V. Magnanimo's perspective

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

1. Pattern Recognition and Machine Learning
2. Variational inference for Dirichlet process mixtures
3. The Infinite Gaussian Mixture Model
4. Bayesian Filtering and Smoothing
5. Scikit-learn: Machine Learning in Python
6. Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework.
7. MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ (Bioinform.)
8. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification (Bioinform.)
9. Review: Calibration of the discrete element method
10. A Methodical Calibration Procedure for Discrete Element Models

Their papers

• An iterative Bayesian filtering framework for fast and automated calibration of DEM models (2019) — 102 citations