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1org mode - org column view with date calculations - Emacs Stack Exchange
https://emacs.stackexchange.com/questions/54027/org-column-view-with-date-calculations
3 years ago by @jaeschke
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org
date
view
emacs
time
column
timestamp
orgdateviewemacstimecolumntimestamp
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1Transformers for Time Series — Transformer 0.3.0 documentation
https://timeseriestransformer.readthedocs.io/en/latest/README.html
3 years ago by @nosebrain
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transformers
series
time
transformersseriestime
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1Profiling and Timing Code | Python Data Science Handbook
https://jakevdp.github.io/PythonDataScienceHandbook/01.07-timing-and-profiling.html
4 years ago by @becker
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memory
python
profile
runtime
profiling
measurement
time
memorypythonprofileruntimeprofilingmeasurementtime
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1python - How to store %%time values in a variable in Jupyter? - Stack Overflow
https://stackoverflow.com/questions/52738709/how-to-store-time-values-in-a-variable-in-jupyter
4 years ago by @becker
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magic
result
jupyter
jupyterlab
python
time
store
timeit
lab
variable
magicresultjupyterjupyterlabpythontimestoretimeitlabvariable
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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
timeseries
pearson
correlation
series
time
spurioustimeseriespearsoncorrelationseriestime
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1google/adb-sync
Preserves timestamps: ```./adb-sync -e ../sdk/platform-tools/adb -R -t /sdcard/DCIM/Camera ~/Pictures/backup/Camera```
5 years ago by @becker
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stamps
date
android
timestamps
stamp
sync
rsync
transfer
file
phone
sdk
time
copy
platform-tools
timestamp
adb
stampsdateandroidtimestampsstampsyncrsynctransferfilephonesdktimecopyplatform-toolstimestampadb
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1TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach | BMC Bioinformatics | Full Text
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-154
5 years ago by @becker
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shen-orr
stanford
time
information
theory
shen-orrstanfordtimeinformationtheory
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1A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring | Nature Medicine
https://www.nature.com/articles/s41591-019-0381-y?fbclid=IwAR3DzRY896PFOVgXNGxTwR-DT2xV0pRyjuTi5IWWMAPRV9NlfCQZHTFXR3Y
5 years ago by @becker
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immune
system
shen-orr
interpolation
stanford
time
model
human
longitudinal
age
immunesystemshen-orrinterpolationstanfordtimemodelhumanlongitudinalage
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1Prometheus - Monitoring system & time series database
An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
5 years ago by @nosebrain
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system
monitoring
series
prometheus
metric
time
systemmonitoringseriesprometheusmetrictime
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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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gan
dimensional
neural
dim
conditional
valued
series
real
time
network
recurrent
multi
gandimensionalneuraldimconditionalvaluedseriesrealtimenetworkrecurrentmulti
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1Mage: The Magical Time Series Backend Behind Parse.ly Analytics | Parse.ly
https://blog.parse.ly/post/1633/mage/
6 years ago by @becker
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mage
storm
log
python
py
real
parse.ly
stack
apache
python3
timeseries
spark
kafka
series
processing
dashboard
time
hadoop
logs
s3
magestormlogpythonpyrealparse.lystackapachepython3timeseriessparkkafkaseriesprocessingdashboardtimehadooplogss3
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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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medical
timeseries
bayes
mit
series
parametric
medicin
time
nonparametric
non
medicaltimeseriesbayesmitseriesparametricmedicintimenonparametricnon
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1Run multiple commands and kill them as one in bash - Unix & Linux Stack Exchange
https://unix.stackexchange.com/questions/204480/run-multiple-commands-and-kill-them-as-one-in-bash
6 years ago by @becker
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same
the
at
processes
trap
time
two
start
bash
kill
script
sametheatprocessestraptimetwostartbashkillscript
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1A little function to extract heart rates with absolute timestamps from Polar CSV files
https://gist.github.com/mgbckr/ce942044a35dd828be36073ff997e75d
7 years ago by @becker
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polar
csv
python
heartrate
timestamps
hr
rate
heart
python3
watch
absolute
fitness
time
polarcsvpythonheartratetimestampshrrateheartpython3watchabsolutefitnesstime
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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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comparison
database
series
time
db
databases
comparisondatabaseseriestimedbdatabases
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3patrickzib/SFA: Scalable Time Series Data Analytics
https://github.com/patrickzib/SFA
7 years ago by @becker
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fourier
of
bag
series
words
time
classification
fourierofbagserieswordstimeclassification
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11 Second - Internet Live Stats
http://www.internetlivestats.com/one-second/
7 years ago by @hotho
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one
real
second
time
wj2017
traffic
internet
onerealsecondtimewj2017trafficinternet
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110 Cool Sites for Seeing Worldwide Internet Activity in Real Time
https://www.lifewire.com/worldwide-internet-activity-in-real-time-3486148
7 years ago by @hotho
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size
data
real
time
wj2017
internet
sizedatarealtimewj2017internet
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1Taking Prophet for a Spin
http://blog.fastforwardlabs.com/2017/03/22/prophet.html
8 years ago by @becker
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prophet
bayes
series
forecasting
probabilistic
time
stan
google
programming
prophetbayesseriesforecastingprobabilistictimestangoogleprogramming
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1GitHub - nscala-time/nscala-time: A new Scala wrapper for Joda Time based on scala-time
https://github.com/nscala-time/nscala-time
8 years ago by @nosebrain
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joda
scala
time
jodascalatime
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1Mobile SARS‑CoV‑2 screening facilities for rapid deployment and university-based diagnostic laboratory
N. Stanislawski, F. Lange, C. Fahnemann, C. Riggers, M. Wahalla, M. Porr, F. Cholewa, R. Jonczyk, S. Thoms, M. Witt and 11 other author(s). (2023)
7 months ago by @fabcho
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reaction
antibody
disease
oropharyngeal
asymptomatic
coronavirus
isolation
analysis
hesitancy
Virus
testing
handling
device
vaccination
Germany
mass
LIMS
throat
Laboratories
chains
transcription
polymerase
immunoassay
capacity
syndrome
public
examination
Diagnosis
respiratory
myown
Antibody
chain
detection
diagnosis
Rapid
Reaction
health
Chemical
Polymerase
Internet
handheld
screening
infection
Article
G
Supply
M
school
staff
spreads
level
crisis
contact
real
Public
blood
reverse
HIS
severe
swab
clinical
vaccine
service
electrochemiluminescence
Disease
RNA
nonhuman
nursing
virus
lockdown
human
method
immunoglobulin
sampling
rate
control
home
Analysis
institutions
deployments
laboratory
nucleic
time
Medical
Severe
biosafety
Level
PCR
seroconversion
university
acute
Antibodies
pandemic
COVID-19
acid
SARS-CoV-2
specimen
institution
reactionantibodydiseaseoropharyngealasymptomaticcoronavirusisolationanalysishesitancyVirustestinghandlingdevicevaccinationGermanymassLIMSthroatLaboratorieschainstranscriptionpolymeraseimmunoassaycapacitysyndromepublicexaminationDiagnosisrespiratorymyownAntibodychaindetectiondiagnosisRapidReactionhealthChemicalPolymeraseInternethandheldscreeninginfectionArticleGSupplyMschoolstaffspreadslevelcrisiscontactrealPublicbloodreverseHISsevereswabclinicalvaccineserviceelectrochemiluminescenceDiseaseRNAnonhumannursingviruslockdownhumanmethodimmunoglobulinsamplingratecontrolhomeAnalysisinstitutionsdeploymentslaboratorynucleictimeMedicalSeverebiosafetyLevelPCRseroconversionuniversityacuteAntibodiespandemicCOVID-19acidSARS-CoV-2specimeninstitution
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1Design and Evaluation of a 180 nm Powerline Communication ASIC for Harsh Environment
T. Stuckenberg, M. Rücker, M. Gottschlich, N. Rother, R. Nowosielski, F. Wiese, and H. Blume. Microprocessors and Microsystems, (March 2023)
7 months ago by @fabcho
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myown
SOC,
ASIC,
synchronization
Harsh
Time
environment,
Powerline,
myownSOC,ASIC,synchronizationHarshTimeenvironment,Powerline,
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1GPS and Relativity: An Engineering Overview
H. Fliegel, and R. DiEsposti. Proceedings of the 28th Annual Precise Time and Time Interval Systems and Applications Meeting, page 189--200. Reston, Virginia, (December 1996)
8 months ago by @jaeschke
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relativity
gps
time
relativitygpstime
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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)
10 months ago by @becker
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citedby:scholar:timestamp:2023-11-4
citedby:scholar:count:65
extrinsic
series
regression
time
citedby:scholar:timestamp:2023-11-4citedby:scholar:count:65extrinsicseriesregressiontime
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1Analysis of the time complexity of quick sort algorithm
W. Xiang. 2011 international conference on information management, innovation management and industrial engineering, 1, page 408--410. IEEE, (2011)
2 years ago by @becker
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sorting
complexity
citedby:scholar:timestamp:2022-9-23
citedby:scholar:count:31
sort
time
quicksort
algorithm
paper:fastcor
sortingcomplexitycitedby:scholar:timestamp:2022-9-23citedby:scholar:count:31sorttimequicksortalgorithmpaper:fastcor
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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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variational
autoencoder
deep
data
citedby:scholar:count:6
learning
gain
citedby:scholar:timestamp:2022-5-13
timeseries
imputation
series
time
missing
model
net
temporal
nn
generative
longitudinal
variationalautoencoderdeepdatacitedby:scholar:count:6learninggaincitedby:scholar:timestamp:2022-5-13timeseriesimputationseriestimemissingmodelnettemporalnngenerativelongitudinal
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1Multitask learning and benchmarking with clinical time series data
H. Harutyunyan, H. Khachatrian, D. Kale, G. Ver Steeg, and A. Galstyan. Scientific data, 6 (1): 1--18 (2019)
3 years ago by @becker
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multitask
task
serial
clinical
paper:milkreview:selected
data
learning
time
multi
citedby:scholar:count:322
citedby:scholar:timestamp:2021-5-29
multitasktaskserialclinicalpaper:milkreview:selecteddatalearningtimemulticitedby:scholar:count:322citedby:scholar:timestamp:2021-5-29
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8On the Bursty Evolution of Blogspace
R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. World Wide Web, 8 (2): 159--178 (Jun 1, 2005)
4 years ago by @jaeschke
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social
burst
dynamics
webscience
evolution
time
analysis
network
temporal
blog
socialburstdynamicswebscienceevolutiontimeanalysisnetworktemporalblog
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2The origin of bursts and heavy tails in human dynamics
A. Barabási. Nature, 435 (7039): 207--211 (2005)
4 years ago by @jaeschke
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social
burst
webscience
time
analysis
network
temporal
socialburstwebsciencetimeanalysisnetworktemporal
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3The bursty dynamics of the Twitter information network
S. Myers, and J. Leskovec. Proceedings of the 23rd international conference on World Wide Web, ACM Press, (2014)
4 years ago by @jaeschke
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twitter
social
burst
webscience
stream
time
analysis
network
information
temporal
twittersocialburstwebsciencestreamtimeanalysisnetworkinformationtemporal
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4Bursty and Hierarchical Structure in Streams
J. Kleinberg. Data Mining and Knowledge Discovery, 7 (4): 373--397 (Oct 1, 2003)
4 years ago by @jaeschke
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web
burst
hierarchy
stream
time
analysis
temporal
structure
webbursthierarchystreamtimeanalysistemporalstructure
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2Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.
N. Wu, B. Green, X. Ben, and S. O'Banion. CoRR, (2020)
4 years ago by @nosebrain
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series
transformer
time
seriestransformertime
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3MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
S. Cho, E. Park, and S. Yoo. Fourteenth ACM Conference on Recommender Systems, ACM, (September 2020)
4 years ago by @nosebrain
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sequence
item
time
recommender
bert4rec
meantime
sequenceitemtimerecommenderbert4recmeantime
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6Community structure in time-dependent, multiscale, and multiplex networks
P. Mucha, T. Richardson, K. Macon, M. Porter, and J. Onnela. science, 328 (5980): 876--878 (2010)
4 years ago by @becker
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project:bmbf
cluster
cordis
scale
dis
network
community
graph
multi
structure
clustering
funcdis
citedby:scholar:timestamp:2020-9-15
time
multiplex
dependent
multiscale
citedby:scholar:count:1565
project:bmbfclustercordisscaledisnetworkcommunitygraphmultistructureclusteringfuncdiscitedby:scholar:timestamp:2020-9-15timemultiplexdependentmultiscalecitedby:scholar:count:1565
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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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cnn
deep
neural
series
learning
time
networks
nn
classification
cnndeepneuralserieslearningtimenetworksnnclassification
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1Undulating changes in human plasma proteome profiles across the lifespan
B. Lehallier, D. Gate, N. Schaum, T. Nanasi, S. Lee, H. Yousef, P. Losada, D. Berdnik, A. Keller, J. Verghese and 1 other author(s). Nature Medicine, 25 (12): 1843--1850 (2019)
5 years ago by @becker
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nalab
lifespan
old
young
time
vs
proteome
longitudinal
plasma
age
nalablifespanoldyoungtimevsproteomelongitudinalplasmaage
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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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cytometry
mass
nalab
immune
topology
network
cell
system
timeseries
transplantation
correlation
allogeneic
series
multiomics
time
stem
longitudinal
cytof
cytometrymassnalabimmunetopologynetworkcellsystemtimeseriestransplantationcorrelationallogeneicseriesmultiomicstimestemlongitudinalcytof
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2Detecting Change Points in the Large-Scale Structure of Evolving Networks
L. Peel, and A. Clauset. (2015)
5 years ago by @becker
show all tags
nalab
detection
cor
corr
network
graph
eveolving
evolve
point
timeseries
correlation
change
time
nalabdetectioncorcorrnetworkgrapheveolvingevolvepointtimeseriescorrelationchangetime
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2Extracting and Aggregating Temporal Events from Text
L. Döhling, and U. Leser. Proceedings of the 23rd International Conference on World Wide Web, page 839--844. New York, NY, USA, ACM, (2014)
5 years ago by @jaeschke
show all tags
web
estimate
archive
text
time
information
extraction
temporal
event
webestimatearchivetexttimeinformationextractiontemporalevent
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1Predicting Document Creation Times in News Citation Networks
A. Spitz, J. Strötgen, and M. Gertz. Companion Proceedings of the The Web Conference 2018, page 1731--1736. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2018)
5 years ago by @jaeschke
show all tags
news
web
estimate
archive
time
dating
newswebestimatearchivetimedating
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