Marco Saerens
Artificial Intelligence · 2002–2012
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #14,134 of 35,345 by trust here, #16,166 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Information Systems — 11 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Marco Saerens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey J. McLachlan
- Leo Breiman
- Arthur P. Dempster
- Kamal Nigam
- Nan M. Laird
- John G. Proakis
- Andrew McCallum
- Donald B. Rubin
Who trusts Marco Saerens overall
- George Forman
- Andrea Dal Pozzolo
- Amélie Royer
- Yee Seng Chan
- Arun Shankar Iyer
- Jiquan Ngiam
- Christoph H. Lampert
- Hwee Tou Ng
- Wouter M. Kouw
- SakethaNath Jagarlapudi
Papers from Marco Saerens's perspective
Ordered by how strongly the researchers Marco Saerens trusts endorse each paper. Same corpus, a different order for every researcher.
- Authoritative sources in a hyperlinked environment
- Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
- The EM algorithm and extensions
- --1 CONTENTS
- ImageNet classification with deep convolutional neural networks
- Mixture models : inference and applications to clustering
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- Attention is All you Need (Neural Information Processing Systems)