Charles N. John

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Charles N. John trusts

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

  1. Karol J. Piczak (in Computer Vision and Pattern Recognition)

Papers from Charles N. John's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Visualizing Data using t-SNE
  3. A Survey on Transfer Learning
  4. ESC: Dataset for Environmental Sound Classification
  5. A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia (Engineering)
  6. Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer (Journal of Thoracic Oncology)
  7. COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
  8. COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
  9. Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. (AJR. American journal of roentgenology)
  10. A Scale for the Measurement of the Psychological Magnitude Pitch

Their papers