Adeel Razi
Cognitive Neuroscience · 2014–2021
A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 150 citations into it
- Artificial Intelligence — 104 citations into it
- Radiology, Nuclear Medicine and Imaging — 94 citations into it
- Safety, Robustness & Interpretability — 38 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Experimental and Cognitive Psychology — 15 citations into it
- Psychiatry and Mental health — 11 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
Whom Adeel Razi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karl J. Friston
- Peter Fransson
- Klaas E. Stephan
- W. D. Penny
- Lee M. Harrison
- Matthew J. Beal
- Jérémie Mattout
- Geoffrey E. Hinton
- Taye Samuel Faniran
- Nelson J. Trujillo-Barreto
Who trusts Adeel Razi overall
Papers from Adeel Razi's perspective
Ordered by how strongly the researchers Adeel Razi 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Visualizing and Understanding Convolutional Networks
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
Their papers
- Bayesian model reduction and empirical Bayes for group (DCM) studies (2016) — 591 citations
- Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021) — 320 citations
- In vitro neurons learn and exhibit sentience when embodied in a simulated game-world (2021) — 337 citations
- Leveraging Data Science to Combat COVID-19: A Comprehensive Review (2020) — 238 citations
- Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review (2020) — 323 citations
- Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020) — 569 citations
- A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI (2019) — 350 citations
- Construct validation of a DCM for resting state fMRI (2015) — 301 citations
- A DCM for resting state fMRI (2014) — 560 citations