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Brian Lucena
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2020 – today
- 2022
- [i5]Brian Lucena:
Loss Functions for Classification using Structured Entropy. CoRR abs/2206.07122 (2022) - [i4]Brian Lucena:
Nonparametric Probabilistic Regression with Coarse Learners. CoRR abs/2210.16247 (2022) - 2020
- [c4]Brian Lucena:
Exploiting Categorical Structure Using Tree-Based Methods. AISTATS 2020: 2949-2958 - [i3]Brian Lucena:
Exploiting Categorical Structure Using Tree-Based Methods. CoRR abs/2004.07383 (2020) - [i2]Brian Lucena:
StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables. CoRR abs/2007.04446 (2020)
2010 – 2019
- 2018
- [i1]Brian Lucena:
Spline-Based Probability Calibration. CoRR abs/1809.07751 (2018) - 2015
- [j3]Ruben Amarasingham, Ferdinand T. Velasco, Bin Xie, Christopher A. Clark, Ying Ma, Song Zhang, Deepa Bhat, Brian Lucena, Marco D. Huesch, Ethan A. Halm:
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models. BMC Medical Informatics Decis. Mak. 15: 39 (2015) - 2013
- [c3]Ruben Amarasingham, Ferdinand T. Velasco, Christopher A. Clark, Song Zhang, Brian Lucena, Bin Xie, Ying Ma, Ethan A. Halm:
An Automated Model to Identify Adult Medicine Patients at Risk for 30-Day Readmission Using Electronic Medical Record Data. AMIA 2013
2000 – 2009
- 2007
- [j2]Brian Lucena:
Achievable sets, brambles, and sparse treewidth obstructions. Discret. Appl. Math. 155(8): 1055-1065 (2007) - 2005
- [c2]Ioannis Kontoyiannis, Brian Lucena:
Mutual information, synergy and some curious phenomena for simple channels. ISIT 2005: 1651-1655 - [c1]Brian Lucena, Ioannis Kontoyiannis:
Filtering: the case for "noisier" data. ITW 2005: 128-130 - 2003
- [j1]Brian Lucena:
A New Lower Bound for Tree-Width Using Maximum Cardinality Search. SIAM J. Discret. Math. 16(3): 345-353 (2003)
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