Results 81 to 90 of about 4,030,812 (306)
Change Point Detection Based on Cluster Transition Distributions
IEEE AccessNowadays, Anomaly Detection (AD) models are incorporated into various systems, but they will become useless if they are not updated (i.e., re-trained) to keep up with changes in their external environment.
Shoko Takahashi +3 more
doaj +1 more source
CHANGE DETECTION FROM POINT CLOUDS TO SUPPORT INDOOR 3D CADASTRE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Recently in The Netherlands, there are many examples of changes in the functionalities of buildings over time. Tracking these changes could be challenging when the building geometry will change as well; for example a change from administrative to ...
S. Nikoohemat +3 more
doaj +1 more source
An Evaluation of Change Point Detection Algorithms
CoRR, 2020 For code and data, see https://github.com/alan-turing-institute/TCPDBench ; Changelog in ...
Gerrit J. J. van den Burg +1 more
openaire +2 more sources
Change-point detection in a sequence of bags-of-data [PDF]
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2015 In this paper, the limitation that is prominent in most existing works of change-point detection methods is addressed by proposing a nonparametric, computationally efficient method. The limitation is that most works assume that each data point observed at each time step is a single multi-dimensional vector. However, there are many situations where this
Kensuke Koshijima +2 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges +12 more
wiley +1 more source
A backward procedure for change-point detection with applications to copy number variation detection
, 2019 Change-point detection regains much attention recently for analyzing array or sequencing data for copy number variation (CNV) detection. In such applications, the true signals are typically very short and buried in the long data sequence, which makes it ...
Hao, Ning, Shin, Seung Jun, Wu, Yichao
core +1 more source
Adversarially robust change point detection
, 2021 Change point detection is becoming increasingly popular in many application areas. On one hand, most of the theoretically-justified methods are investigated in an ideal setting without model violations, or merely robust against identical heavy-tailed noise distribution across time and/or against isolate outliers; on the other hand, we are aware that ...
Mengchu Li, Yi Yu
openaire +3 more sources
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
Non-parametric change-point method for differential gene expression detection. [PDF]
PLoS ONE, 2011 BACKGROUND: We proposed a non-parametric method, named Non-Parametric Change Point Statistic (NPCPS for short), by using a single equation for detecting differential gene expression (DGE) in microarray data.
Yao Wang +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source