Alexandre V. Evfimievski

Artificial Intelligence · 2002–2016

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 87 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #2,469 of 35,345 by trust here, #3,797 by citations
• Information Systems — 11 citations into it; #261 of 8,771 by trust here, #280 by citations
• Algorithms & Complexity — 6 citations into it
• Computer Networks and Communications — 6 citations into it; #2,332 of 9,886 by trust here, #3,862 by citations

Whom Alexandre V. Evfimievski trusts overall

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

1. Rakesh Agrawal
2. Dakshi Agrawal
3. Claude E. Shannon
4. Jaideep Vaidya
5. J. Ross Quinlan
6. Chris Clifton
7. Murat Kantarcioglu
8. Charu C. Aggarwal
9. Rayadurgam Srikant
10. Moni Naor

Who trusts Alexandre V. Evfimievski overall

1. John C. Duchi
2. Cynthia Dwork
3. Charu C. Aggarwal
4. Jayant R. Haritsa
5. Adam D. Smith
6. Keke Chen
7. Michael I. Jordan
8. Wenliang Du
9. Kamalika Chaudhuri
10. Shipra Agrawal

Papers from Alexandre V. Evfimievski's perspective

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

1. Fast Algorithms for Mining Association Rules
2. ImageNet classification with deep convolutional neural networks
3. New Directions in Cryptography
4. On Private Scalar Product Computation for Privacy-Preserving Data Mining
5. Efficient oblivious transfer protocols
6. On the design and quantification of privacy preserving data mining algorithms
7. Privacy preserving mining of association rules
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Maintaining Data Privacy in Association Rule Mining
10. Privacy Preserving Data Mining

Their papers

• Limiting privacy breaches in privacy preserving data mining (2003) — 972 citations
• Privacy preserving mining of association rules (2002) — 1,092 citations
• SystemML: Declarative Machine Learning on Spark (2016) — 232 citations
• Information sharing across private databases (2003) — 757 citations