Demosthenes Panagiotakos
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
- Statistics and Probability — 5 citations into it
Whom Demosthenes Panagiotakos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Demosthenes Panagiotakos's perspective
Ordered by how strongly the researchers Demosthenes Panagiotakos trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Calibrating Noise to Sensitivity in Private Data Analysis
- Targeted Learning: Causal Inference for Observational and Experimental Data
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Federated Optimization: Distributed Optimization Beyond the Datacenter
- Going deeper with convolutions
- Federated Learning: Strategies for Improving Communication Efficiency
- Deep Learning for Health Informatics
- Gradient-based learning applied to document recognition
- Causal inference
Their papers
- Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021 (2023) — 2,755 citations
- Real-world data: a brief review of the methods, applications, challenges and opportunities (2022) — 427 citations
- Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies (2018) — 1,035 citations