Su-In Lee

According to our database1, Su-In Lee authored at least 30 papers between 2000 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Consistent Individualized Feature Attribution for Tree Ensembles.
CoRR, 2018

Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data.
CoRR, 2018

Identifying progressive gene network perturbation from single-cell RNA-seq data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning.
CoRR, 2017

Checkpoint Ensembles: Ensemble Methods from a Single Training Process.
CoRR, 2017

Consistent feature attribution for tree ensembles.
CoRR, 2017

A unified approach to interpreting model predictions.
CoRR, 2017

A Unified Approach to Interpreting Model Predictions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Identifying Network Perturbation in Cancer.
PLoS Computational Biology, 2016

An unexpected unity among methods for interpreting model predictions.
CoRR, 2016

UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Learning Sparse Gaussian Graphical Models with Overlapping Blocks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

CloudControl: Leveraging many public ChIP-seq control experiments to better remove background noise.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Pathway Graphical Lasso.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning graphical models with hubs.
Journal of Machine Learning Research, 2014

Node-based learning of multiple Gaussian graphical models.
Journal of Machine Learning Research, 2014

Track Topology Based Reliable In-Network Aggregation Scheduling in Wireless Sensor Networks.
IEICE Transactions, 2014

Efficient Dimensionality Reduction for High-Dimensional Network Estimation.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Node-Based Learning of Multiple Gaussian Graphical Models
CoRR, 2013

The use of pseudo-landmarks for craniofacial analysis: A comparative study with L1-regularized logistic regression.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Structured Learning of Gaussian Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

Tremor detection using motion filtering and SVM.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Parcellation of human inferior parietal lobule based on diffusion MRI.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Classification and feature selection for craniosynostosis.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2007
Learning a meta-level prior for feature relevance from multiple related tasks.
Proceedings of the Machine Learning, 2007

2006
Efficient Structure Learning of Markov Networks using L1-Regularization.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient L1 Regularized Logistic Regression.
Proceedings of the Proceedings, 2006

2003
ICA-based Clustering of Genes from Microarray Expression Data.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2000
Top-Down Attention Control at Feature Space for Robust Pattern Recognition.
Proceedings of the Biologically Motivated Computer Vision, 2000


  Loading...