Elzbieta Pekalska

Artificial Intelligence · 2002–2014

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #11,146 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #13,600 of 21,575 by trust here, #15,955 by citations
• Evaluation & Benchmarks — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Elzbieta Pekalska trusts overall

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

1. Bernhard Schölkopf
2. Robert P. W. Duin
3. Thomas M. Cover
4. Alex Smola
5. Luc Devroye
6. Thomas B. Sebastian
7. Vladimir Naumovich Vapni
8. Shigeo Abe
9. Anil K. Jain
10. Pavel Paclík

Who trusts Elzbieta Pekalska overall

1. Riccardo Satta
2. Kaspar Riesen
3. M. Lozano
4. Elena Marchiori
5. Bernard Haasdonk
6. Jihun Ham
7. Heesung Kwon
8. Michel Neuhaus
9. Dmitry Zelenko
10. José Martínez Sotoca

Papers from Elzbieta Pekalska's perspective

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

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

Their papers

• Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces (2006) — 77 citations
• Spherical and Hyperbolic Embeddings of Data (2014) — 135 citations
• Prototype selection for dissimilarity-based classifiers (2006) — 344 citations
• The Dissimilarity Representation for Pattern Recognition - Foundations and Applications (2005) — 676 citations
• A Generalized Kernel Approach to Dissimilarity-based Classification (2002) — 423 citations