becker > citedby:scholar:count:4

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1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4
S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky и 1 other автор(ы). The American Journal of Clinical Nutrition, (2023)
2 лет назад , @becker
citedby:scholar:count:4
citedby:scholar:timestamp:2023-5-14
human
infant
milk
myown
nutrition
citedby:scholar:count:4citedby:scholar:timestamp:2023-5-14humaninfantmilkmyownnutrition
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2Use of the birth control pill affects stress reactivity and brain structure and function
R. Sharma, S. Smith, N. Boukina, A. Dordari, A. Mistry, B. Taylor, N. Felix, A. Cameron, Z. Fang, A. Smith и 1 other автор(ы). Hormones and Behavior, (2020)
3 лет назад , @becker
citedby:scholar:count:18
citedby:scholar:count:4
citedby:scholar:timestamp:2022-5-5
connectiveness
contraception
functional
m:
m:id:contraception:node
neuro
oral
project:contraception
puberty
resting
state
m:id:contraception:coordinate:x:-209.50218963623047
m:id:contraception:coordinate:y:-462.9860420227051
citedby:scholar:count:18citedby:scholar:count:4citedby:scholar:timestamp:2022-5-5connectivenesscontraceptionfunctionalm:m:id:contraception:nodeneurooralproject:contraceptionpubertyrestingstatem:id:contraception:coordinate:x:-209.50218963623047m:id:contraception:coordinate:y:-462.9860420227051
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2Oral contraceptive use, especially during puberty, alters resting state functional connectivity
R. Sharma, Z. Fang, A. Smith, и N. Ismail. Hormones and Behavior, (2020)
3 лет назад , @becker
citedby:scholar:count:4
citedby:scholar:timestamp:2022-5-5
connectiveness
contraception
functional
m:
m:id:contraception:node
neuro
oral
project:contraception
puberty
resting
state
m:id:contraception:coordinate:x:-211.8518829345703
m:id:contraception:coordinate:y:-408.9560737609863
citedby:scholar:count:4citedby:scholar:timestamp:2022-5-5connectivenesscontraceptionfunctionalm:m:id:contraception:nodeneurooralproject:contraceptionpubertyrestingstatem:id:contraception:coordinate:x:-211.8518829345703m:id:contraception:coordinate:y:-408.9560737609863
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1Bayesian multitask learning regression for heterogeneous patient cohorts
A. Goncalves, P. Ray, B. Soper, D. Widemann, M. Nyg\aard, J. Nyg\aard, и A. Sales. Journal of Biomedical Informatics: X, (2019)
3 лет назад , @becker
bayes
bayesian
multitask
multi
task
learning
regression
heterogeneous
patient
medical
records
citedby:scholar:count:4
citedby:scholar:timestamp:2022-1-26
bayesbayesianmultitaskmultitasklearningregressionheterogeneouspatientmedicalrecordscitedby:scholar:count:4citedby:scholar:timestamp:2022-1-26
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2Explainable classification of brain networks via contrast subgraphs
T. Lanciano, F. Bonchi, и A. Gionis. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, стр. 3308--3318. (2020)
3 лет назад , @becker
kdd
contrast
subgraphs
graphs
correlation
disruption
networks
classification
explainable
interpretable
machine
learning
citedby:scholar:count:4
citedby:scholar:timestamp:2021-8-8
kddcontrastsubgraphsgraphscorrelationdisruptionnetworksclassificationexplainableinterpretablemachinelearningcitedby:scholar:count:4citedby:scholar:timestamp:2021-8-8
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2Integrating Machine Learning with Human Knowledge
C. Deng, X. Ji, C. Rainey, J. Zhang, и W. Lu. Iscience, (2020)
3 лет назад , @becker
project:bmbf
machine
learning
background
knowledge
integration
human
prior
citedby:scholar:count:4
citedby:scholar:timestamp:2021-7-25
project:bmbfmachinelearningbackgroundknowledgeintegrationhumanpriorcitedby:scholar:count:4citedby:scholar:timestamp:2021-7-25
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1Identification of diagnostic biomarkers in patients with gestational diabetes mellitus based on transcriptome gene expression and methylation correlation analysis
E. Li, T. Luo, и Y. Wang. Reproductive Biology and Endocrinology, 17 (1): 112 (2019)
3 лет назад , @becker
paper:milkreview:selected
citedby:scholar:count:4
citedby:scholar:timestamp:2021-5-29
paper:milkreview:selectedcitedby:scholar:count:4citedby:scholar:timestamp:2021-5-29
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1Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy
J. Sugawara, D. Ochi, R. Yamashita, T. Yamauchi, D. Saigusa, M. Wagata, T. Obara, M. Ishikuro, Y. Tsunemoto, Y. Harada и 1 other автор(ы). BMJ open, 9 (2): e025939 (2019)
4 лет назад , @becker
log
data
maternity
pregnancy
multiomics
longitudinal
lifelog
monitoring
activity
fetal
complications
outcome
prediction
analysis
citedby:scholar:count:4
citedby:scholar:timestamp:2020-8-11
logdatamaternitypregnancymultiomicslongitudinallifelogmonitoringactivityfetalcomplicationsoutcomepredictionanalysiscitedby:scholar:count:4citedby:scholar:timestamp:2020-8-11
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1Multiview learning for understanding functional multiomics
N. Nguyen, и D. Wang. PLOS Computational Biology, 16 (4): e1007677 (2020)
4 лет назад , @becker
citedby:scholar:count:4
citedby:scholar:timestamp:2020-7-29
learning
multi
multiomics
multiview
omics
paper:milkreview:selected
view
citedby:scholar:count:4citedby:scholar:timestamp:2020-7-29learningmultimultiomicsmultiviewomicspaper:milkreview:selectedview
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1From Google Maps to a fine-grained catalog of street trees
S. Branson, J. Wegner, D. Hall, N. Lang, K. Schindler, и P. Perona. ISPRS Journal of Photogrammetry and Remote Sensing, (2018)
6 лет назад , @becker
street
google
maps
map
tree
p2map
eva
visual
image
citedby:scholar:count:4
citedby:scholar:timestamp:2018-12-15
streetgooglemapsmaptreep2mapevavisualimagecitedby:scholar:count:4citedby:scholar:timestamp:2018-12-15
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2Self-Adaptive Revised Land Use Regression Models for Estimating PM2. 5 Concentrations in Beijing, China
L. Hu, J. Liu, и Z. He. Sustainability, 8 (8): 786 (2016)
7 лет назад , @becker
p2map
eva
osm
lur
land
use
regression
open
street
map
air
quality
pollution
prediction
linear
citedby:scholar:count:4
citedby:scholar:timestamp:2018-2-21
p2mapevaosmlurlanduseregressionopenstreetmapairqualitypollutionpredictionlinearcitedby:scholar:count:4citedby:scholar:timestamp:2018-2-21
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2Parallel subgroup discovery on computing clusters—First results
D. Trabold, и H. Grosskreutz. Big Data, 2013 IEEE International Conference on, стр. 575--579. IEEE, (2013)
7 лет назад , @becker
akka
citedby:scholar:count:4
citedby:scholar:timestamp:2018-2-16
codi
discovery
distributed
mining
parallel
subgen
subgroup
akkacitedby:scholar:count:4citedby:scholar:timestamp:2018-2-16codidiscoverydistributedminingparallelsubgensubgroup
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1b+ WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring
F. Edwards-Murphy, M. Magno, P. Whelan, J. O’Halloran, и E. Popovici. Computers and Electronics in Agriculture, (2016)
7 лет назад , @becker
hobos
bee
honey
bees
machine
learning
ml
weather
prediction
citedby:scholar:count:4
citedby:scholar:timestamp:2017-7-20
hobosbeehoneybeesmachinelearningmlweatherpredictioncitedby:scholar:count:4citedby:scholar:timestamp:2017-7-20
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1Modeling the browsing behavior of world wide web users
F. Phoa, и J. Sanchez. Open Journal of Statistics, 3 (2): 145-154 (2013)
8 лет назад , @becker
citedby:scholar:count:4
citedby:scholar:timestamp:2017-4-21
diss
heterogeneity
inthesis
navigation
subgroups
web
citedby:scholar:count:4citedby:scholar:timestamp:2017-4-21dissheterogeneityinthesisnavigationsubgroupsweb
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1Trajectory data mining: A review of methods and applications
J. Mazimpaka, и S. Timpf. Journal of Spatial Information Science, 2016 (13): 61--99 (2016)
8 лет назад , @becker
inthesis
diss
trajectory
mining
sequential
pattern
citedby:scholar:count:4
citedby:scholar:timestamp:2017-4-21
inthesisdisstrajectoryminingsequentialpatterncitedby:scholar:count:4citedby:scholar:timestamp:2017-4-21
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1Web access pattern mining--a survey
A. Rajimol, и G. Raju. Data Engineering and Management, Springer, (2012)
8 лет назад , @becker
inthesis
diss
survey
web
access
pattern
mining
citedby:scholar:count:4
citedby:scholar:timestamp:2017-4-20
inthesisdisssurveywebaccesspatternminingcitedby:scholar:count:4citedby:scholar:timestamp:2017-4-20
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6Describing locations using tags and images: explorative pattern mining in social media
F. Lemmerich, и M. Atzmueller. Modeling and Mining Ubiquitous Social Media, Springer, (2012)
8 лет назад , @becker
inthesis
diss
subgroup
mining
discovery
social
media
geo
spatial
citedby:scholar:count:4
citedby:scholar:timestamp:2017-4-19
inthesisdisssubgroupminingdiscoverysocialmediageospatialcitedby:scholar:count:4citedby:scholar:timestamp:2017-4-19
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2Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data
L. Espin Noboa, F. Lemmerich, P. Singer, и M. Strohmaier. International Conference Companion on World Wide Web, стр. 537--542. International World Wide Web Conferences Steering Committee, ACM, (2016)
8 лет назад , @becker
citedby:scholar:count:4
citedby:scholar:timestamp:2017-3-2
discovery
diss
geo
human
inthesis
manhattan
mobility
pattern
space
spatial
taxi
urban
citedby:scholar:count:4citedby:scholar:timestamp:2017-3-2discoverydissgeohumaninthesismanhattanmobilitypatternspacespatialtaxiurban
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1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4

2Use of the birth control pill affects stress reactivity and brain structure and function

2Oral contraceptive use, especially during puberty, alters resting state functional connectivity

1Bayesian multitask learning regression for heterogeneous patient cohorts

2Explainable classification of brain networks via contrast subgraphs

2Integrating Machine Learning with Human Knowledge

1Identification of diagnostic biomarkers in patients with gestational diabetes mellitus based on transcriptome gene expression and methylation correlation analysis

1Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy

1Multiview learning for understanding functional multiomics

1From Google Maps to a fine-grained catalog of street trees

2Self-Adaptive Revised Land Use Regression Models for Estimating PM2. 5 Concentrations in Beijing, China

2Parallel subgroup discovery on computing clusters—First results

1b+ WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring

1Modeling the browsing behavior of world wide web users

1Trajectory data mining: A review of methods and applications

1Web access pattern mining--a survey

6Describing locations using tags and images: explorative pattern mining in social media

2Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data

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