Bhavna Josephine Antony
Molecular Biology · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 5 citations into it
Whom Bhavna Josephine Antony trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bhavna Josephine Antony's perspective
Ordered by how strongly the researchers Bhavna Josephine Antony trusts endorse each paper. Same corpus, a different order for every researcher.
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Estimation of clinical trial success rates and related parameters (Biostatistics)
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
- High-performance medicine: the convergence of human and artificial intelligence
- Dermatologist-level classification of skin cancer with deep neural networks
- Recent Trends in Deep Learning Based Natural Language Processing
- Unsupervised Feature Construction and Knowledge Extraction from Genome-Wide Assays of Breast Cancer with Denoising Autoencoders
- Predicting drug-target interactions using restricted Boltzmann machines
- Deep Learning in Medicine-Promise, Progress, and Challenges. (JAMA Internal Medicine)
Their papers
- Artificial Intelligence for Clinical Trial Design. (2019) — 492 citations