Time-series classification - Open Access .click

Results 71 to 80 of about 19,696,345 (257)

Direct multi-step estimation and time series classification

, 2014
The AR metric represents a consolidated model-based approach for time series classification. The goodness of the final classification may of course be affected by the misspecification of the models describing the observed time series.
CORDUAS, MARCELLA, Marcella Corduas
core +1 more source

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana +3 more
wiley +1 more source

Time Series Classification in Dissimilarity Spaces [PDF]

, 2020
. Time series classification in the dissimilarity space combines the advantages of the dynamic time warping and the rich mathematical structure of Euclidean spaces.
Brijnesh J Jain, Stephan Spiegel
core

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source

Temporal classification of short time series data

BMC Bioinformatics
Motivation Within the frame of their genetic capacity, organisms are able to modify their molecular state to cope with changing environmental conditions or induced genetic disposition. As high throughput methods are becoming increasingly affordable, time
Benedikt Venn +3 more
doaj +1 more source

Modeling the Dynamics of Forest Fires: A Vector Autoregressive Approach Across Three Fire Classifications

JTAM (Jurnal Teori dan Aplikasi Matematika)
The problem of forest fires is one that, with each passing year, gets more difficult to mitigate. A significant number of people will be affected by this case, particularly in terms of their health.
Nur'ainul Miftahul Huda, Nurfitri Imro'ah +1 more
doaj +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source

GMT: Gzip-based Memory-efficient Time-series classification

ICT Express
The deployment of embedded time-series sensing devices enabled better understanding of user environments and contexts. However, classifying them solely on extremely limited devices under data-scarce conditions is still a remaining challenge. We introduce
Sungmin Lee +3 more
doaj +1 more source

Multivariate Time Series Classification with Temporal Abstractions

, 2020
The increase in the number of complex temporal datasets collected today has prompted the development of methods that extend classical machine learning and data mining methods to time-series data.

core

Timage – A Robust Time Series Classification Pipeline

, 2019
Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research.
Riedhammer, Korbinian +3 more
core +1 more source

time series classification
time series
classification

deep learning
time series analysis
convolutional neural network