Fionn Murtagh
Artificial Intelligence · WIREs Data Mining Knowl. Discov. · 2011–2017
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #14,472 of 35,345 by trust here, #23,731 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #7,577 of 21,575 by trust here, #13,542 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Statistical and Nonlinear Physics — 7 citations into it; #4,739 of 10,127 by trust here, #7,747 by citations
- Signal Processing — 6 citations into it; #2,798 of 7,572 by trust here, #4,560 by citations
- Geometry and Topology — 5 citations into it
Whom Fionn Murtagh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Guojun Gan
- G'abor J. Sz'ekely
- Teuvo Kohonen
- Martin Ester
- Jouko Lampinen
- Jianbo Shi
- Maria L. Rizzo
- Pierre Legendre
- Marina Meila
Who trusts Fionn Murtagh overall
- Branko Dragovich
- Xingcheng Ran
- Hamid R. Tizhoosh
- Lida Xu
- A. Khrennikov
- Nico Salmaso
- Malika Charrad
- J. Kowalska
- Pedro Contreras
- Sergei V. Kozyrev
Papers from Fionn Murtagh's perspective
Ordered by how strongly the researchers Fionn Murtagh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Algorithms for hierarchical clustering: an overview, II (2017) — 348 citations
- Handbook of Cluster Analysis (2015) — 511 citations
- Algorithms for hierarchical clustering: an overview (2012) — 1,909 citations
- Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? (2011) — 3,455 citations