Lucila Ohno-Machado
Artificial Intelligence · 2000–2020
A researcher in the Science corpus: 16 papers; trusts 16 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it; #10,468 of 35,345 by trust here, #6,911 by citations
- Statistics and Probability — 29 citations into it; #11,440 of 12,932 by trust here, #4,517 by citations
- Information Systems — 27 citations into it
- Statistical Learning Theory — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Epidemiology — 9 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
Whom Lucila Ohno-Machado trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Thorsten Joachims
- J. Platt
- Melanie Swan
- Bianca Zadrozny
- James A. Hanley
- Tom Minka
Who trusts Lucila Ohno-Machado overall
- William R. Hersh
- Dimitris J. Bertsimas
- Ugur Kursuncu
- Peter Bjødstrup Jensen
- Enas Elgeldawi
- Daniel A. Hashimoto
- Allison Chang
- Md Mamun Ali
- Tianlin Zhang
- Mahdi Pakdaman Naeini
Papers from Lucila Ohno-Machado's perspective
Ordered by how strongly the researchers Lucila Ohno-Machado trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- 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)
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.
- Long Short-Term Memory
- Optimizing search engines using clickthrough data
- Foundations of Statistical Natural Language Processing
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Calibrating predictive model estimates to support personalized medicine (2011) — 250 citations
- Predicting accurate probabilities with a ranking loss (2012) — 79 citations
- Differentially private distributed logistic regression using private and public data (2014) — 58 citations
- Genomic Analysis of Mouse Retinal Development (2004) — 606 citations
- Analysis of matched mRNA measurements from two different microarray technologies (2002) — 494 citations
- The use of receiver operating characteristic curves in biomedical informatics (2005) — 884 citations
- Natural language processing: an introduction (2011) — 1,183 citations
- Finding useful data across multiple biomedical data repositories using DataMed (2017) — 95 citations
- A tutorial on calibration measurements and calibration models for clinical prediction models (2020) — 409 citations
- Blockchain distributed ledger technologies for biomedical and health care applications (2017) — 1,085 citations
- VERTIcal Grid lOgistic regression (VERTIGO) (2016) — 55 citations
- Big data in health care: using analytics to identify and manage high-risk and high-cost patients. (2014) — 1,105 citations
- Reviewing social media use by clinicians (2012) — 322 citations
- Realizing the full potential of electronic health records: the role of natural language processing (2011) — 88 citations
- Logistic regression and artificial neural network classification models: a methodology review (2002) — 2,031 citations
- GLIF3: the evolution of a guideline representation format (2000) — 324 citations