
wbs
 Referenced in 64 articles
[sw11110]
 Wild binary segmentation for multiple changepoint detection. We propose a new technique, called wild ... binary segmentation (WBS), for consistent estimation of the number and locations of multiple changepoints ... very small jump magnitudes, unlike standard binary segmentation. On the other hand, despite ... proof of consistency of binary segmentation with improved rates of convergence, as well...

AdaBoost.MH
 Referenced in 478 articles
[sw08517]
 than being binary, is an arbitrary finite set or a bounded segment of the real...

basta
 Referenced in 13 articles
[sw29265]
 parameter values. Our method, termed BASTA (binary segmentation for transformed autoregressive conditional heteroscedasticity), proceeds ... stages: process transformation and binary segmentation. The process transformation decorrelates the original process and lightens ... tails; the binary segmentation consistently estimates the change points. We propose and justify two particular ... threshold parameter for the binary segmentation stage. A comparative simulation study illustrates good performance...

Valmet
 Referenced in 9 articles
[sw01281]
 probabilistic overlap measure for nonbinary segmentations, c) mean/median absolute distances between object surfaces...

breakfast
 Referenced in 6 articles
[sw22395]
 point detection in data sequences, or sequence segmentation, using computationally efficient multiscale methods. This version ... TailGreedy Unbalanced Haar”, ”Wild Binary Segmentation” and ”Adaptive Wild Binary Segmentation” changepoint detection...

DNAcopy
 Referenced in 7 articles
[sw16252]
 analysis. R package. Implements the circular binary segmentation (CBS) algorithm to segment DNA copy number...

APOGEE
 Referenced in 35 articles
[sw08451]
 number of binary decision variables that scales linearly with the number of segments ... bilinear functions with a logarithmic number of binary variables and computationally compare the performance...

seqCBS
 Referenced in 6 articles
[sw12152]
 uses an adaptation of Circular Binary Segmentation. Also included are methods for pointwise Bayesian...

wbsts
 Referenced in 3 articles
[sw19367]
 stationary time series using wild binary segmentation. We propose a new technique for consistent estimation ... segmentation procedure is the wild binary segmentation method (WBS), a technique which involves a certain ... advantage of WBS over the standard binary segmentation lies in its localisation feature, thanks...

eNchange
 Referenced in 1 article
[sw33923]
 univariate time series using the Ensemble Binary Segmentation of Korkas...

BayesProject
 Referenced in 1 article
[sw35837]
 cusum methods, and a wild binary segmentation wrapper for all algorithms...

cpcens
 Referenced in 1 article
[sw37366]
 most recent changepoint, double cumulative sum binary segmentation, multiple changepoints in multivariate time series, analyzing...

changepointsHD
 Referenced in 1 article
[sw26719]
 blackbox models. The methods include binary segmentation for multiple changepoint estimation. For estimating...

metilene
 Referenced in 1 article
[sw28768]
 with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a twodimensional statistical...

BinSim
 Referenced in 1 article
[sw31767]
 BinSim: tracebased semantic binary diffing via system call sliced segment equivalence checking. Detecting differences ... between two binary executables (binary diffing), first derived from patch analysis, have been widely employed ... this paper, we propose system call sliced segment equivalence checking, a hybrid method to identify ... behaviors. Our approach improves existing semanticsbased binary diffing by 1) inferring whether two executable...

EITMesher
 Referenced in 1 article
[sw36099]
 MESHER – Segmented FEM Mesh Generation and Refinement. EITMESHER (https://github.com/EITteam/Mesher) is C++ software ... Model tetrahedral meshes from binary masks of 3D volume segmentations. Originally developed for biomedical applications...

woeBinning
 Referenced in 1 article
[sw19177]
 like approach that iteratively segments the initial bins via binary splits. Both procedures merge, respectively...

CobWeb
 Referenced in 1 article
[sw26487]
 user interface tailored explicitly for accurate image segmentation and representative elementary volume analysis of digital ... deployed as a series of windows executable binaries which use image processing and machine learning ... MATLAB. The userfriendly interface enables image segmentation and crossvalidation employing Kmeans, Fuzzy...

ivadomed
 Referenced in 1 article
[sw35828]
 trained models such as spinal tumor segmentation and vertebral labeling. Original features of ivadomed include ... losses adapted to imbalanced classes and nonbinary predictions. Each step is conveniently configurable ... applications of ivadomed include MRI object detection, segmentation, and labeling of anatomical and pathological structures...