Kwangsik Nho
Computer Vision and Pattern Recognition · 2010–2021
A researcher in the Science corpus: 10 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Artificial Intelligence — 32 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 7 citations into it
Whom Kwangsik Nho trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- J. Urgen Schmidhuber
- Ilya Sutskever
- Yann LeCun
- L. Eon Bottou
- Paul J. Werbos
- Ruslan Salakhutdinov
- Kunihiko Fukushima
Who trusts Kwangsik Nho overall
Papers from Kwangsik Nho's perspective
Ordered by how strongly the researchers Kwangsik Nho trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Common genetic variants influence human subcortical brain structures (2015) — 868 citations
- Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort (2010) — 393 citations
- Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net (2011) — 60 citations
- The genetic architecture of the human cerebral cortex (2020) — 777 citations
- Four distinct trajectories of tau deposition identified in Alzheimer’s disease (2021) — 636 citations
- Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data (2019) — 618 citations
- Predicting Alzheimer’s disease progression using multi-modal deep learning approach (2019) — 385 citations
- Altered Bile Acid Profile Associates with Cognitive Impairment in Alzheimer’s Disease – An Emerging Role for Gut Microbiome (2018) — 597 citations
- Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis (2016) — 1,062 citations
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (2014) — 790 citations