Mohamed H. Zaki
Sociology and Political Science · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 26 citations into it
- Artificial Intelligence — 16 citations into it; #30,921 of 35,345 by trust here, #31,361 by citations
- Management Science and Operations Research — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Mohamed H. Zaki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan R. Hevner
- Peter J. Rousseeuw
- Bent Flyvbjerg
- Dave J. Ketchen
- Abbas Khosravi
- Michael H. Morris
- José Miguel Hernández-Lobato
- Ken Peffers
Who trusts Mohamed H. Zaki overall
Papers from Mohamed H. Zaki's perspective
Ordered by how strongly the researchers Mohamed H. Zaki trusts endorse each paper. Same corpus, a different order for every researcher.
- Practical Variational Inference for Neural Networks
- Weight Uncertainty in Neural Networks
- ImageNet classification with deep convolutional neural networks
- Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Practical Bayesian Framework for Backpropagation Networks
- Uncertainty in Deep Learning
- Gradient-based learning applied to document recognition
- Estimating the mean and variance of the target probability distribution
- Learning Multiple Layers of Features from Tiny Images
Their papers
- High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach (2018) — 334 citations
- Customer experience challenges: bringing together digital, physical and social realms (2018) — 630 citations
- Gaining Customer Experience Insights That Matter (2018) — 253 citations
- Capturing value from big data – a taxonomy of data-driven business models used by start-up firms (2016) — 360 citations