Preview	Created	Link to source code
1		2023-11-06	AIC/BIC change-point detection comparison using ROC curves
2		2023-10-26	Basis expansion for continuous neural network predictions
3		2023-10-10	Microbial interaction network
4		2023-03-13	Gradient descent for neural network and linear model
5		2023-01-30	Gradient descent for neural network and linear model
6		2022-02-02	Gradient descent for regression
7		2021-11-12	Simple non-monotonic ROC curve
8		2021-11-07	AUM/AUC computation for simple real data set with non-monotonic changepoint detection error functions
9		2021-10-21	Changepoint detection ROC curve alignment problem
10		2021-10-21	ROC curves for neuroblastoma data with several minima
11		2021-07-23	Demo of Labeled Optimal Partitioning algorithm
12		2020-06-01	Analysis of enrollment data for resistive memory devices
13		2019-11-01	Gaussian Process models for sample selection
14		2019-10-21	Gaussian Process models for sample selection
15		2019-10-11	Gaussian Process models for sample selection
16		2019-10-03	Minimizing area under min(FP,FN)
17		2019-08-20	Minimizing area under min(FP,FN)
18		2019-08-19	Changepoint detection ROC curve alignment problem
19		2019-08-16	Generalized ROC curve metrics for several combinations
20		2019-08-15	Gaussian Process models for sample selection
21		2019-06-06	ROC curves for neuroblastoma data with several minima
22		2019-02-04	Full path of changepoint models and cost functions
23		2019-02-04	Sugar Maple
24		2019-02-04	Table Mountain Pine
25		2017-09-15	L1-regularized logistic regression models for predicting asthma
26		2017-09-15	Area Under ROC Curves (AUC) for asthma prediction
27		2017-05-30	Temperatures in Montreal office and outside
28		2017-05-08	BIC versus learned penalty in neuroblastoma data
29		2017-04-16	Compare interval regression tree model predictions
30		2017-03-22	Cost/slack minimization over all feature thresholds, for building max margin interval tree models
31		2017-02-20	Demo of Constrained Pruned Dynamic Programming Algorithm
32		2017-02-13	Learned penalty function vs BIC
33		2017-02-02	PeakSegFPOP target intervals versus problem size
34		2016-11-10	Max-margin supervised penalty learning for peak detection in ChIP-seq data
35		2016-08-18	L1 regularized linear model predictions for ChIP-seq data
36		2016-08-03	Demo of constrained Pruned DPA
37		2016-07-07	SocialCode bids
38		2016-04-28	Demo of Pruned Dynamic Programming Algorithm with 234 data
39		2016-04-27	Demo of PDPA with 4 data
40		2016-04-22	L1 regularized linear model for predicting asthma from genetics
41		2016-03-11	WorldBank data viz for Animint paper
42		2016-01-28	Max margin interval regression for supervised segmentation model selection
43		2016-01-24	Montreal bikes Jan 2016
44		2016-01-12	RNAseq time series
45		2015-11-12	WorldBank facets + select multiple countries
46		2015-10-13	PeakSegJoint heuristic segmentation algorithm demonstration
47		2015-09-29	Consistency of PeakSegJoint and PeakSeg in simulated Poisson data
48		2015-06-10	Data viz with 206 selectors
49		2014-12-16	Maximum likelihood Gaussian segmentation model selection
50		2014-12-16	Segmentation model selection with BIC
51		2014-12-04	CRUTEM4 climate change temperature sensor stations
52		2014-11-13	Peak detection machine learning predictions comparison
53		2014-10-28	Comparison of test error of 3 ChIP-seq peak detection algorithms
54		2014-10-23	Montreal bikes Oct 2014
55		2014-10-09	Central American temperature maps
56		2014-10-09	L1-regularized logistic regression model of differences in ChIP-seq profiles
57		2014-09-26	breakpoints select multiple segmentation models
58		2014-09-26	Tornado select multiple states
59		2014-07-28	Differentially methylated regions, 4 selectors