Identification of Enzymatic Active Sites with Unsupervised Language Modelling
- Loic Kwate Dassi
- Matteo Manica
- et al.
- 2021
- NeurIPS 2021
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1760 results for Impact Science
Active site sequence representation of human kinases outperforms full sequence for affinity prediction
- Jannis Born
- Tien Huynh
- et al.
- 2021
- NeurIPS 2021
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
- Chulin Wang
- Kyongmin Yeo
- et al.
- 2021
- NeurIPS 2021
Automated Supervised Feature Selection for Differentiated Patterns of Care
- Catherine Wanjiru
- William Ogallo
- et al.
- 2021
- NeurIPS 2021
Post-discovery Analysis of Anomalous Subsets
- Isaiah Onando Mulang’
- William Ogallo
- et al.
- 2021
- NeurIPS 2021
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- 2021
- ICML 2021
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
- Sekou L. Remy
- Oliver Bent
- 2021
- ICLR 2021
Automated Evaluation of Representation in Dermatology Educational Materials
- Girmaw Abebe Tadesse
- Hannah Kim
- et al.
- 2021
- AAAI 2021
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination
- Mark Weber
- Mikhail Yurochkin
- et al.
- 2020
- NeurIPS 2020
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019