Prashansa Agrawal
2018
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Prashansa Agrawal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Prashansa Agrawal's perspective
Ordered by how strongly the researchers Prashansa Agrawal trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. (Journal of Pharmaceutical and Biomedical Analysis)
- The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years
- The time scale of artificial intelligence: Reflections on social effects
- Three models for the description of language
- How artificial intelligence is changing drug discovery (Nature)
- How artificial intelligence will change the future of marketing (Journal of the Academy of Marketing Science)
- Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice
- Advancing Drug Discovery via Artificial Intelligence. (TIPS - Trends in Pharmacological Sciences)
- Large Scale Prediction and Testing of Drug Activity on Side-Effect Targets
- A Systematic Prediction of Multiple Drug-Target Interactions from Chemical, Genomic, and Pharmacological Data (PLoS ONE)
Their papers
- Artificial Intelligence in Drug Discovery and Development (2018) — 464 citations