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1How to use Pearson correlation correctly with time series - Cross Validated
https://stats.stackexchange.com/questions/133155/how-to-use-pearson-correlation-correctly-with-time-series
5 years ago by @becker
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spurious
correlation
pearson
time
series
timeseries
spuriouscorrelationpearsontimeseriestimeseries
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1ratschlab/RGAN: Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
https://github.com/ratschlab/RGAN
5 years ago by @becker
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real
valued
time
series
multi
dim
dimensional
gan
recurrent
neural
network
conditional
realvaluedtimeseriesmultidimdimensionalganrecurrentneuralnetworkconditional
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1Mage: The Magical Time Series Backend Behind Parse.ly Analytics | Parse.ly
https://blog.parse.ly/post/1633/mage/
5 years ago by @becker
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mage
real
time
log
processing
kafka
hadoop
storm
apache
stack
s3
spark
parse.ly
python
python3
py
series
timeseries
dashboard
logs
magerealtimelogprocessingkafkahadoopstormapachestacks3sparkparse.lypythonpython3pyseriestimeseriesdashboardlogs
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1Li-wei H. Lehman - Google Scholar Citations
https://scholar.google.ch/citations?hl=en&user=cIjXidQAAAAJ&view_op=list_works&sortby=pubdate
6 years ago by @becker
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time
series
timeseries
bayes
nonparametric
non
parametric
medical
medicin
mit
timeseriestimeseriesbayesnonparametricnonparametricmedicalmedicinmit
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1A Comparison of Time Series Databases and Netsil’s Use of Druid
https://blog.netsil.com/a-comparison-of-time-series-databases-and-netsils-use-of-druid-db805d471206
7 years ago by @becker
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time
series
database
db
databases
comparison
timeseriesdatabasedbdatabasescomparison
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1Time series extrinsic regression: Predicting numeric values from time series data
C. Tan, C. Bergmeir, F. Petitjean, and G. Webb. Data Mining and Knowledge Discovery, (2021)
7 months ago by @becker
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time
series
extrinsic
regression
citedby:scholar:count:65
citedby:scholar:timestamp:2023-11-4
timeseriesextrinsicregressioncitedby:scholar:count:65citedby:scholar:timestamp:2023-11-4
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1Longitudinal variational autoencoder
S. Ramchandran, G. Tikhonov, K. Kujanpää, M. Koskinen, and H. Lähdesmäki. International Conference on Artificial Intelligence and Statistics, page 3898--3906. PMLR, (2021)
2 years ago by @becker
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imputation
gain
missing
data
generative
model
net
nn
deep
learning
autoencoder
variational
longitudinal
temporal
timeseries
time
series
citedby:scholar:count:6
citedby:scholar:timestamp:2022-5-13
imputationgainmissingdatagenerativemodelnetnndeeplearningautoencodervariationallongitudinaltemporaltimeseriestimeseriescitedby:scholar:count:6citedby:scholar:timestamp:2022-5-13
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3Deep learning for time series classification: a review
H. Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, and P. Muller. Data Mining and Knowledge Discovery, 33 (4): 917--963 (Jul 1, 2019)
4 years ago by @becker
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classification
cnn
deep
learning
networks
neural
nn
series
time
classificationcnndeeplearningnetworksneuralnnseriestime
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5Mass Cytometry and Topological Data Analysis Reveal Immune Parameters Associated with Complications after Allogeneic Stem Cell Transplantation
T. Lakshmikanth, A. Olin, Y. Chen, J. Mikes, E. Fredlund, M. Remberger, B. Omazic, and P. Brodin. Cell Reports, 20 (9): 2238 - 2250 (2017)
5 years ago by @becker
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allogeneic
cell
correlation
cytof
cytometry
immune
longitudinal
mass
multiomics
nalab
network
series
stem
system
time
timeseries
topology
transplantation
allogeneiccellcorrelationcytofcytometryimmunelongitudinalmassmultiomicsnalabnetworkseriesstemsystemtimetimeseriestopologytransplantation
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1Time-series clustering--A decade review
S. Aghabozorgi, A. Shirkhorshidi, and T. Wah. Information Systems, (2015)
6 years ago by @becker
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time4all
clustering
time
series
citedby:scholar:count:140
citedby:scholar:timestamp:2018-3-13
time4allclusteringtimeseriescitedby:scholar:count:140citedby:scholar:timestamp:2018-3-13
(0)
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5Bayesian nonparametric hidden semi-Markov models
M. Johnson, and A. Willsky. Journal of Machine Learning Research, 14 (Feb): 673--701 (2013)
6 years ago by @becker
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bayes
bayesian
citedby:scholar:count:182
citedby:scholar:timestamp:2018-3-13
hidden
markov
model
non
nonparametric
parametric
semi
series
time
time4all
unsupervised
bayesbayesiancitedby:scholar:count:182citedby:scholar:timestamp:2018-3-13hiddenmarkovmodelnonnonparametricparametricsemiseriestimetime4allunsupervised
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2The BOSS is concerned with time series classification in the presence of noise
P. Schäfer. Data Mining and Knowledge Discovery, 29 (6): 1505--1530 (Nov 1, 2015)
7 years ago by @becker
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bag
boss
classification
fourier
of
series
time
words
bagbossclassificationfourierofseriestimewords
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2Latent Time-Series Motifs
J. Grabocka, N. Schilling, and L. Schmidt-Thieme. ACM Trans. Knowl. Discov. Data, 11 (1): 6:1--6:20 (July 2016)
8 years ago by @becker
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health
latent
model
pattern
rowing
series
time
healthlatentmodelpatternrowingseriestime
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2Streaming pattern discovery in multiple time-series
S. Papadimitriou, J. Sun, and C. Faloutsos. Proceedings of the 31st international conference on Very large data bases, page 697--708. VLDB Endowment, (2005)
11 years ago by @becker
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discovery
mining
multi
pattern
s:2013-12-18_time-series-mining
series
stream
time
discoveryminingmultipatterns:2013-12-18_time-series-miningseriesstreamtime
(0)
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3Optimal multi-scale patterns in time series streams
S. Papadimitriou, and P. Yu. Proceedings of the 2006 ACM SIGMOD international conference on Management of data, page 647--658. ACM, (2006)
11 years ago by @becker
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mining
multi
pattern
s:2013-12-18_time-series-mining
scale
series
stream
time
miningmultipatterns:2013-12-18_time-series-miningscaleseriesstreamtime
(0)
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BibSonomy

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1How to use Pearson correlation correctly with time series - Cross Validated

1ratschlab/RGAN: Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

1Mage: The Magical Time Series Backend Behind Parse.ly Analytics | Parse.ly

1Li-wei H. Lehman - Google Scholar Citations

1A Comparison of Time Series Databases and Netsil’s Use of Druid

publications (hide)19
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1Time series extrinsic regression: Predicting numeric values from time series data

1Longitudinal variational autoencoder

3Deep learning for time series classification: a review

5Mass Cytometry and Topological Data Analysis Reveal Immune Parameters Associated with Complications after Allogeneic Stem Cell Transplantation

1Time-series clustering--A decade review

5Bayesian nonparametric hidden semi-Markov models

2The BOSS is concerned with time series classification in the presence of noise

2Latent Time-Series Motifs

2Streaming pattern discovery in multiple time-series

3Optimal multi-scale patterns in time series streams

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