Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function
- Laura Gardiner
- Rachel Rusholme-Pilcher
- et al.
- 2021
- PNAS
Paper
Publications
1975 results for Impact Science
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities
- Guansong Pang
- Longbing Cao
- et al.
- 2021
- WSDM 2021
Conference paperPi-Diradical Aromatic Soot Precursors in Flames
- Jacob W. Martin
- Laura Pascazio
- et al.
- 2021
- JACS
PaperTowards protecting vital healthcare programs by extracting actionable knowledge from policy
- Vanessa Lopez
- Nagesh Yadav
- et al.
- 2021
- ACL-IJCNLP 2021
PaperA Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
- Renzhe Yu
- Subhro Das
- et al.
- 2021
- ACL-IJCNLP 2021
Workshop paperEnhancing GDPR compliance through data sensitivity and data hiding tools
- Xabier Larrucea
- Micha Moffie
- et al.
- 2021
- J.UCS
PaperLearning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
- Germán Abrevaya
- Guillaume Dumas
- et al.
- 2021
- Neural Computation
PaperPerun: Confidential Multi-Stakeholder Machine Learning Framework with Hardware Acceleration Support
- Wojciech Ozga
- Do Le Quoc
- et al.
- 2021
- IFIP DBSec 2021
Conference paperA comparative study of stochastic and deep generative models for multisite precipitation synthesis
- Bianca Zadrozny
- Dario Augusto Borges Oliveira
- et al.
- 2021
- ICML 2021
Workshop posterDecadal Forecasts with ResDMD: a Residual DMD Neural Network
- Eduardo Rodrigues
- Bianca Zadrozny
- et al.
- 2021
- ICML 2021
Workshop poster