Markus Miettinen
Artificial Intelligence · 2012–2022
A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it
Whom Markus Miettinen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Franklin
- Haibo He
- Roger Dingledine
- Trevor J. Hastie
- Qian Feng
- Tadayoshi Kohno
- Richard J. Samworth
- Damon McCoy
- Edwardo A. Garcia
- Leo Breiman
Who trusts Markus Miettinen overall
Papers from Markus Miettinen's perspective
Ordered by how strongly the researchers Markus Miettinen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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)
- Going deeper with convolutions
Their papers
- FLAME: Taming Backdoors in Federated Learning (2022) — 494 citations
- DÏoT: A Federated Self-learning Anomaly Detection System for IoT (2018) — 625 citations
- DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices (2018) — 56 citations
- Peek-a-boo: i see your smart home activities, even encrypted! (2018) — 318 citations
- IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT (2016) — 719 citations
- The Mobile Data Challenge: Big Data for Mobile Computing Research (2012) — 545 citations