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MCS
2008
Springer
13 years 4 months ago
Detecting multiple mean breaks at unknown points in official time series
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...
IDEAL
2010
Springer
13 years 2 months ago
Analysing Satellite Image Time Series by Means of Pattern Mining
Abstract. Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by ...
François Petitjean, Pierre Gançarski...
BMCBI
2007
144views more  BMCBI 2007»
13 years 4 months ago
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data
Background: In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologist's opin...
Miika Ahdesmäki, Harri Lähdesmäki, ...
BMCBI
2007
103views more  BMCBI 2007»
13 years 4 months ago
Systems biology approach for mapping the response of human urothelial cells to infection by Enterococcus faecalis
Background: To better understand the response of urinary epithelial (urothelial) cells to Enterococcus faecalis, a uropathogen that exhibits resistance to multiple antibiotics, a ...
Mikhail G. Dozmorov, Kimberly D. Kyker, Ricardo Sa...
BMCBI
2006
169views more  BMCBI 2006»
13 years 4 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...