Yogesh Kumar

Artificial Intelligence · 2022

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

Subfields

Whom Yogesh Kumar trusts overall

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

  1. D. Tegunov
  2. Carl Sabottke
  3. Taeho C. Jo
  4. Parvathaneni Naga Srinivasu
  5. Patrick Cramer
  6. B. Spieler
  7. Kwangsik Nho

Who trusts Yogesh Kumar overall

  1. Luís Pinto-Coelho

Papers from Yogesh Kumar's perspective

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

  1. Machine Learning and Data Mining Methods in Diabetes Research (Computational and Structural Biotechnology Journal)
  2. Big Data Analytics in Healthcare (BioMed Research International)
  3. Big Data Analytics (Lecture Notes in Computer Science)
  4. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer (Nature Medicine)
  5. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data (Frontiers in Aging Neuroscience)
  6. A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms (Mobile Information Systems)
  7. Real-time cryo–EM data pre-processing with Warp
  8. The Effect of Image Resolution on Deep Learning in Radiography. (Radiology: Artificial Intelligence)
  9. Feature selection and classification systems for chronic disease prediction: A review (Egyptian Informatics Journal)
  10. Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program. (Radiology)

Their papers