Olivier Janssens

Artificial Intelligence · 2016–2017

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 — 17 citations into it

Whom Olivier Janssens trusts overall

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

1. J. Ross Quinlan
2. Houtao Deng
3. Niko Speybroeck
4. Artur Andrzejak
5. Leo Breiman
6. Tianqi Chen
7. Rodrigo C. Barros
8. Thomas G. Dietterich
9. Anneleen Van Assche

Who trusts Olivier Janssens overall

1. Shen Zhang
2. Haidong Shao
3. Jun Zhu
4. Serkan Kiranyaz
5. Shibo Zhang
6. Osbert Bastani
7. Hongkai Jiang
8. Laura Erhan
9. Bingnan Wang

Papers from Olivier Janssens's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Random Forests
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GENESIM: genetic extraction of a single, interpretable model (2016) — 36 citations
• A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles (2017) — 14 citations
• Convolutional Neural Network Based Fault Detection for Rotating Machinery (2016) — 1,173 citations