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07/02/2021
Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection
Receiver Operating Characteristic (ROC) curves are plots of true positiv...
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12/12/2020
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models
Motivation: Histone modification constitutes a basic mechanism for the g...
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06/24/2020
Labeled Optimal Partitioning
In data sequences measured over space or time, an important problem is a...
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06/08/2020
Survival regression with accelerated failure time model in XGBoost
Survival regression is used to estimate the relation between time-to-eve...
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02/10/2020
gfpop: an R Package for Univariate Graph-Constrained Change-point Detection
In a world with data that change rapidly and abruptly, it is important t...
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09/29/2018
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data
We describe a new algorithm and R package for peak detection in genomic ...
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02/21/2018
Fast Nonconvex Deconvolution of Calcium Imaging Data
Calcium imaging data promises to transform the field of neuroscience by ...
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10/11/2017
Maximum Margin Interval Trees
Learning a regression function using censored or interval-valued output ...
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03/09/2017
A log-linear time algorithm for constrained changepoint detection
Changepoint detection is a central problem in time series and genomic da...
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06/03/2015
PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples
Joint peak detection is a central problem when comparing samples in geno...
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01/30/2014