Stratis Ioannidis
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 10 papers; trusts 46 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it; #10,797 of 35,345 by trust here, #7,112 by citations
- Privacy & Security — 43 citations into it; #386 of 709 by trust here, #194 by citations
- Computational Theory and Mathematics — 37 citations into it; #6,664 of 12,182 by trust here, #1,463 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Computer Networks and Communications — 31 citations into it
- Information Systems — 28 citations into it; #4,883 of 8,771 by trust here, #6,501 by citations
- Signal Processing — 14 citations into it
- Sociology and Political Science — 13 citations into it
Whom Stratis Ioannidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benny Pinkas
- Yan Huang
- Vladimir Kolesnikov
- Yehuda Lindell
- Thomas Schneider
- Moni Naor
- Nathan Eagle
- Jon M. Kleinberg
- Craig Gentry
- Oded Goldreich
Who trusts Stratis Ioannidis overall
- Adrià Gascón
- M. Sadegh Riazi
- Payman Mohassel
- Wei Gao
- David E. Evans
- Neil Zhenqiang Gong
- Ali Shahin Shamsabadi
- Jinyuan Jia
- Phillipp Schoppmann
- Nitin Agrawal
Papers from Stratis Ioannidis's perspective
Ordered by how strongly the researchers Stratis Ioannidis 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learn-Prune-Share for Lifelong Learning (2020) — 50 citations
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records (2013) — 490 citations
- GraphSC: Parallel Secure Computation Made Easy (2015) — 193 citations
- ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks (2018) — 334 citations
- Deep Learning Convolutional Neural Networks for Radio Identification (2018) — 333 citations
- Secure Function Evaluation Using an FPGA Overlay Architecture (2017) — 23 citations
- Privacy-preserving matrix factorization (2013) — 305 citations
- BlurMe: inferring and obfuscating user gender based on ratings (2012) — 194 citations
- From Small-World Networks to Comparison-Based Search (2011) — 12 citations
- Optimal and scalable distribution of content updates over a mobile social network (2009) — 306 citations