István Pilászy

Information Systems · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 9 citations into it; #4,950 of 8,771 by trust here, #3,402 by citations
• Recommender Systems — 7 citations into it

Whom István Pilászy trusts overall

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

1. Paul Resnick
2. John F. Canny
3. Dennis DeCoste
4. Nati Srebro
5. Gediminas Adomavicius
6. Badrul Munir Sarwar

Who trusts István Pilászy overall

1. Xin Luo
2. Steffen Rendle
3. Christian Desrosiers
4. András A. Benczúr
5. Ulrich Paquet
6. Ian R. Porteous
7. Hsiang-Fu Yu

Papers from István Pilászy's perspective

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

1. Maximum-Margin Matrix Factorization
2. Application of Dimensionality Reduction in Recommender System - A Case Study
3. Gradient-based learning applied to document recognition
4. An open architecture for collaborative filtering of netnews
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet classification with deep convolutional neural networks
8. Neural networks and principal component analysis: Learning from examples without local minima
9. The Netflix Prize
10. Probabilistic Matrix Factorization

Their papers

• Scalable Collaborative Filtering Approaches for Large Recommender Systems (2009) — 549 citations