Stijn Meganck

Artificial Intelligence · 2007–2013

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistics and Probability — 7 citations into it

Whom Stijn Meganck trusts overall

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

1. Tom L. Burr
2. David E. Heckerman
3. Judea Pearl
4. David Maxwell Chickering
5. Wray L. Buntine
6. Peter Spirtes
7. Thomas S. Richardson
8. Ilya Shpitser
9. Jin Tian
10. Gregory F. Cooper

Who trusts Stijn Meganck overall

1. Ioana Bica
2. Ahmed M. Alaa

Papers from Stijn Meganck's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Causation, Prediction, and Search
8. An Introduction to Variational Methods for Graphical Models
9. Learning Multiple Layers of Features from Tiny Images
10. On the Testable Implications of Causal Models with Hidden Variables

Their papers

• Batch effect removal methods for microarray gene expression data integration: a survey (2013) — 326 citations
• A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis (2012) — 588 citations
• Causal Graphical Models with Latent Variables: Learning and Inference (2007) — 15 citations