Brian Subirana
IEEE Open Journal of Engineering in Medicine and Biology · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Brian Subirana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Brian Subirana's perspective
Ordered by how strongly the researchers Brian Subirana trusts endorse each paper. Same corpus, a different order for every researcher.
- Librispeech: An ASR corpus based on public domain audio books
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19 (Nature Medicine)
- Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
- AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app (Informatics in Medicine Unlocked)
- Smell dysfunction: a biomarker for COVID‐19 (International Forum of Allergy and Rhinology)
- The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
- Neurological Manifestations of Hospitalized Patients with COVID-19 in Wuhan, China: a retrospective case series study (medRxiv)
- The Coronavirus and the Great Influenza Epidemic - Lessons from the 'Spanish Flu' for the Coronavirus's Potential Effects on Mortality and Economic Activity (Social Science Research Network)
- SRILM - an extensible language modeling toolkit
- The Design for the Wall Street Journal-based CSR Corpus
Their papers
- COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings (2020) — 448 citations