Results 91 to 100 of about 3,979,328 (298)

Pattern Extraction for Time Series Classification [PDF]

, 2001
In this paper, we propose some new tools to allow machine learning classifiers to cope with time series data. We first argue that many time-series classification problems can be solved by detecting and combining local properties or patterns in time series. Then, a technique is proposed to find patterns which are useful for classification.
openaire   +2 more sources

Classification of Time-Series Images Using Deep Convolutional Neural Networks

, 2017
Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data.
Abdel-Hamid, Armano, Bouvrie, Chen, Cui, Dalto, Deng, Eads, Graves, Hatami, Hatami, Krizhevsky, Krizhevsky, LeCun, LeCun, Lee, Nanopoulos, Rakthanmanon, Rodriguez, Senin, Simonyan, Souza, Souza, Wang, Wang, Wang, Xing, Yang, Zheng   +28 more
core   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping

Remote Sensing, 2022
Satellite Image Time Series (SITS) record the continuous temporal behavior of land cover types and thus provide a new perspective for finer-grained land cover classification compared with the usual spectral and spatial information contained in a static ...
Zheng Zhang, Ping Tang, Changmiao Hu, Zhiqiang Liu, Weixiong Zhang, Liang Tang   +5 more
doaj   +1 more source

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification

IEEE Transactions on Cognitive and Developmental Systems
This article proposes a dual-network-based feature extractor, perceptive capsule network (PCapN), for multivariate time series classification (MTSC), including a local feature network (LFN) and a global relation network (GRN). The LFN has two heads (i.e.,
Zhiwen Xiao, Xin Xu, Huanlai Xing, Bowen Zhao, Xinhan Wang, Fuhong Song, Rong Qu, Li Feng   +7 more
semanticscholar   +1 more source

Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection

IEEE Access, 2022
Multivariate time series classification is a machine learning problem that can be applied to automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel Transform (ROCKET) proved to be an outstanding algorithm capable to classify
Agnieszka Bier, Agnieszka Jastrzebska, Pawel Olszewski   +2 more
doaj   +1 more source

Multi-View Time Series Classification [PDF]

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016
By virtue of the increasingly large amount of various sensors, information about the same object can be collected from multiple views. These mutually enriched information can help many real-world applications, such as daily activity recognition in which both video cameras and on-body sensors are continuously collecting information.
Sheng Li, Yaliang Li, Yun Fu
openaire   +1 more source

An Experimental Evaluation of Nearest Neighbour Time Series Classification [PDF]

, 2014
Data mining research into time series classification (TSC) has focussed on alternative distance measures for nearest neighbour classifiers. It is standard practice to use 1-NN with Euclidean or dynamic time warping (DTW) distance as a straw man for ...
Bagnall, Anthony, Lines, Jason
core   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source