A. Ercole

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Ercole trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mihaela van der Schaar (in Artificial Intelligence)

Papers from A. Ercole's perspective

Ordered by how strongly the researchers A. Ercole trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
  2. How will country-based mitigation measures influence the course of the COVID-19 epidemic? (The Lancet)
  3. GAIN: Missing Data Imputation using Generative Adversarial Nets
  4. Attentive State-Space Modeling of Disease Progression
  5. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study (The Lancet)
  6. Drug treatment options for the 2019-new coronavirus (2019-nCoV). (BioScience Trends)
  7. Breakthrough: Chloroquine phosphate has shown apparent efficacy in treatment of COVID-19 associated pneumonia in clinical studies. (BioScience Trends)
  8. Review of the Clinical Characteristics of Coronavirus Disease 2019 (COVID-19) (Journal of general internal medicine)
  9. AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
  10. Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks (IEEE Transactions on Biomedical Engineering)

Their papers