Jean Paul Barddal
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #35,340 of 35,345 by trust here, #20,836 by citations
- Management Science and Operations Research — 16 citations into it
- Information Systems — 14 citations into it
- Signal Processing — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Statistics and Probability — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Jean Paul Barddal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ludmila I. Kuncheva
- Albert Bifet
- Leo Breiman
- Leandro L. Minku
- G. Holmes
- Bernhard Pfahringer
- J. Ross Quinlan
- Pedro M. Domingos
- Nikunj C. Oza
- João Gama
Who trusts Jean Paul Barddal overall
Papers from Jean Paul Barddal's perspective
Ordered by how strongly the researchers Jean Paul Barddal trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A decision-theoretic generalization of on-line learning and an application to boosting
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Forests
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Adaptive random forests for evolving data stream classification (2017) — 763 citations
- A Survey on Ensemble Learning for Data Stream Classification (2017) — 576 citations