Yuval Elovici

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it; #30,739 of 35,345 by trust here, #9,760 by citations
• Signal Processing — 50 citations into it
• Computer Networks and Communications — 48 citations into it
• Information Systems — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Software — 10 citations into it

Whom Yuval Elovici trusts overall

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

1. L. Eon Bottou
2. J. Ross Quinlan
3. Robert E. Schapire
4. Douglas A. Reynolds
5. Derek Bruening
6. Andreas Moser
7. Claude E. Shannon
8. Pedro Garcia-Teodoro
9. Yanchang Zhao
10. J. Kolter

Who trusts Yuval Elovici overall

1. Ansam Khraisat

Papers from Yuval Elovici's perspective

Ordered by how strongly the researchers Yuval Elovici 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection (2018) — 1,004 citations
• Dynamic Malware Analysis in the Modern Era—A State of the Art Survey (2019) — 348 citations
• Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection. (2018) — 472 citations
• N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders (2018) — 1,390 citations
• ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis (2017) — 407 citations
• “Andromaly”: a behavioral malware detection framework for android devices (2012) — 825 citations
• Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey (2009) — 332 citations