Joel T. Dudley
Molecular Biology · 2006–2019
A researcher in the Science corpus: 22 papers; trusts 53 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 234 citations into it; #881 of 17,773 by trust here, #536 by citations
- Artificial Intelligence — 110 citations into it; #18,579 of 35,345 by trust here, #4,829 by citations
- Genetics — 107 citations into it; #328 of 6,854 by trust here, #170 by citations
- Computer Vision and Pattern Recognition — 39 citations into it
- Computational Theory and Mathematics — 34 citations into it; #12,101 of 12,182 by trust here, #2,298 by citations
- Health Information Management — 34 citations into it; #101 of 344 by trust here, #3 by citations
- Endocrinology, Diabetes and Metabolism — 17 citations into it
- Model Architectures — 17 citations into it
Whom Joel T. Dudley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Olivier Bodenreider
- Guanghui Hu
- Brendan J. Frey
- Geoffrey E. Hinton
- Yoshua Bengio
- Koichiro Tamura
- Sudhir Kumar
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
Who trusts Joel T. Dudley overall
- Sudhir Kumar
- Aurélie Névéol
- S. Y. Chan
- Yu-Cheng Dai
- G. Barrowclough
- R. Zink
- Dweipayan Goswami
- Chien-Hung Huang
- Lun Yang
- M. Wink
Papers from Joel T. Dudley's perspective
Ordered by how strongly the researchers Joel T. Dudley trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records (2016) — 1,635 citations
- Deep learning for healthcare: review, opportunities and challenges (2018) — 2,642 citations
- MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. (2007) — 29,524 citations
- MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences (2008) — 3,562 citations
- Discovery and preclinical validation of drug indications using compendia of public gene expression data (2011) — 746 citations
- Deep learning predicts hip fracture using confounding patient and healthcare variables (2018) — 286 citations
- TimeTree: a public knowledge-base of divergence times among organisms (2006) — 1,236 citations
- Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes (2012) — 1,224 citations
- Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia (2016) — 1,080 citations
- L1000CDS2: LINCS L1000 characteristic direction signatures search engine (2016) — 330 citations
- Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets (2010) — 329 citations
- Exploiting drug-disease relationships for computational drug repositioning (2011) — 491 citations
- Identification of type 2 diabetes subgroups through topological analysis of patient similarity (2015) — 544 citations
- Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics (2015) — 287 citations
- Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review (2019) — 468 citations
- Artificial Intelligence in Cardiology. (2018) — 769 citations
- Machine learning in cardiovascular medicine: are we there yet? (2018) — 457 citations
- Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography. (2016) — 368 citations
- Computational Approaches to Drug Repurposing and Pharmacology (2016)
- Computational repositioning of the anticonvulsant topiramate for inflammatory bowel disease (2011) — 561 citations