Shourya Roy
Artificial Intelligence · 2009–2016
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #31,393 of 35,345 by trust here, #32,362 by citations
- Natural Language Processing — 8 citations into it; #5,058 of 5,688 by trust here, #5,593 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Shourya Roy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shourya Roy overall
Papers from Shourya Roy's perspective
Ordered by how strongly the researchers Shourya Roy trusts endorse each paper. Same corpus, a different order for every researcher.
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Latent Dirichlet Allocation
- Scikit-learn: Machine Learning in Python
- METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
- Relations Between Two Sets of Variates
- Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
- Unfolding Physiological State: Mortality Modelling in Intensive Care Units
- Canonical Correlation Analysis: An Overview with Application to Learning Methods
- Deep Computational Phenotyping
- Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
Their papers
- A survey of types of text noise and techniques to handle noisy text (2009) — 105 citations
- Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016) — 41 citations