group :: uw_ws12_web2.0

закладки (спрятать)
показать
всё
только закладки
закладки на страницу
5
10
20
50
100
RSS
BibTeX
XML

Нет подходящих.

&lang;&lang;
⟨
&rang;
⟩⟩

публикации (спрятать)18
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...

1Interpretable machine learning prediction of all-cause mortality
W. Qiu, H. Chen, A. Dincer, S. Lundberg, M. Kaeberlein, и S. Lee. medRxiv, (2022)
2 лет назад , @becker
supervised
distance
citedby:scholar:count:3
machine
collaboration
fuelln
learning
interpretable
citedby:scholar:timestamp:2022-11-30
ml
superviseddistancecitedby:scholar:count:3machinecollaborationfuellnlearninginterpretablecitedby:scholar:timestamp:2022-11-30ml
копироватьудалитьдобавить публикацию в буфер
1The effect of mindfulness-based interventions on immunity-related biomarkers: a comprehensive meta-analysis of randomised controlled trials
T. Dunn, и M. Dimolareva. Clinical Psychology Review, (2022)
2 лет назад , @becker
paper:stressmulti
outcomes
citedby:scholar:timestamp:2022-10-16
citedby:scholar:count:3
stress
pregnancy
intervention
adverse
paper:stressmultioutcomescitedby:scholar:timestamp:2022-10-16citedby:scholar:count:3stresspregnancyinterventionadverse
копироватьудалитьдобавить публикацию в буфер
2Association between adolescent oral contraceptive use and future major depressive disorder: a prospective cohort study
C. Anderl, A. de Wit, E. Giltay, A. Oldehinkel, и F. Chen. Journal of Child Psychology and Psychiatry, 63 (3): 333--341 (2022)
3 лет назад , @becker
m:id:contraception:coordinate:x:-219.52538871765137
citedby:scholar:count:3
project:contraception
citedby:scholar:timestamp:2022-5-5
depression
oral
m:id:contraception:node
risk
contraception
m:
m:id:contraception:coordinate:y:-108.26045989990234
m:id:contraception:coordinate:x:-219.52538871765137citedby:scholar:count:3project:contraceptioncitedby:scholar:timestamp:2022-5-5depressionoralm:id:contraception:noderiskcontraceptionm:m:id:contraception:coordinate:y:-108.26045989990234
копироватьудалитьдобавить публикацию в буфер
1Differential network analysis by simultaneously considering changes in gene interactions and gene expression
J. Tu, L. Ou-Yang, Y. Zhu, H. Yan, H. Qin, и X. Zhang. Bioinformatics, 37 (23): 4414--4423 (2021)
3 лет назад , @becker
citedby:scholar:count:3
citedby:scholar:timestamp:2022-4-27
analysis
network
differential
paper:fastcor
citedby:scholar:count:3citedby:scholar:timestamp:2022-4-27analysisnetworkdifferentialpaper:fastcor
копироватьудалитьдобавить публикацию в буфер
1Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks
D. Whitley, R. Tinós, и F. Chicano. International Conference on Parallel Problem Solving from Nature, стр. 449--460. Springer, (2018)
3 лет назад , @becker
pruning
selection
neural
citedby:scholar:count:3
neuron
project:functional-subgroups
networks
citedby:scholar:timestamp:2022-3-25
pruningselectionneuralcitedby:scholar:count:3neuronproject:functional-subgroupsnetworkscitedby:scholar:timestamp:2022-3-25
копироватьудалитьдобавить публикацию в буфер
2Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering
S. Karamcheti, R. Krishna, L. Fei-Fei, и C. Manning. arXiv preprint arXiv:2107.02331, (2021)
3 лет назад , @becker
subgroup
learn
impact
vqa
visual
question
outlier
learning
citedby:scholar:timestamp:2022-1-10
active
outliers
answering
negative
subgroups
citedby:scholar:count:3
hard
to
removal
subgrouplearnimpactvqavisualquestionoutlierlearningcitedby:scholar:timestamp:2022-1-10activeoutliersansweringnegativesubgroupscitedby:scholar:count:3hardtoremoval
копироватьудалитьдобавить публикацию в буфер
1Evolution and transition of expression trajectory during human brain development
M. Li, H. Tang, Y. Shao, M. Wang, H. Xu, S. Wang, D. Irwin, A. Adeola, T. Zeng, L. Chen и 1 other автор(ы). BMC evolutionary biology, 20 (1): 1--16 (2020)
3 лет назад , @becker
citedby:scholar:timestamp:2021-9-30
citedby:scholar:count:3
paper:cordis
citedby:scholar:timestamp:2021-9-30citedby:scholar:count:3paper:cordis
копироватьудалитьдобавить публикацию в буфер
1scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
J. Wang, A. Ma, Y. Chang, J. Gong, Y. Jiang, R. Qi, C. Wang, H. Fu, Q. Ma, и D. Xu. Nature communications, 12 (1): 1--11 (2021)
3 лет назад , @becker
citedby:scholar:timestamp:2021-6-4
neural
rna
citedby:scholar:count:3
gnn
network
graph
rna-seq
single
paper:fastcor
cell
seq
citedby:scholar:timestamp:2021-6-4neuralrnacitedby:scholar:count:3gnnnetworkgraphrna-seqsinglepaper:fastcorcellseq
копироватьудалитьдобавить публикацию в буфер
1Obtaining Data From Electronic Health Records
V. Ehrenstein, H. Kharrazi, H. Lehmann, и C. Taylor. Tools and Technologies for Registry Interoperability, Registries for Evaluating Patient Outcomes: A User’s Guide, 3rd Edition, Addendum 2 Internet, Agency for Healthcare Research and Quality (US), (2019)
4 лет назад , @becker
paper
citedby:scholar:timestamp:2021-5-12
fastcor
citedby:scholar:count:3
data
m:id:test1:coordinate:x:44.72569274902344
m:id:test1:coordinate:y:-351.7615432739258
m:
m:id:test1:node
paper:fastcor
ehr
papercitedby:scholar:timestamp:2021-5-12fastcorcitedby:scholar:count:3datam:id:test1:coordinate:x:44.72569274902344m:id:test1:coordinate:y:-351.7615432739258m:m:id:test1:nodepaper:fastcorehr
копироватьудалитьдобавить публикацию в буфер
2From Louvain to Leiden: guaranteeing well-connected communities
V. Traag, L. Waltman, и N. van Eck. arXiv preprint arXiv:1810.08473, (2018)
6 лет назад , @becker
project:bmbf
louvain
citedby:scholar:count:3
clustering
paper:cordis
leiden
citedby:scholar:timestamp:2019-2-15
project:bmbflouvaincitedby:scholar:count:3clusteringpaper:cordisleidencitedby:scholar:timestamp:2019-2-15
копироватьудалитьдобавить публикацию в буфер
2Statistical hypothesis tests for NLP
W. Morgan. (2005)
6 лет назад , @becker
precision
citedby:scholar:timestamp:2018-9-20
sampling
test
independent
f1
independence
statstical
significance
citedby:scholar:count:3
recall
statistic
statistics
precisioncitedby:scholar:timestamp:2018-9-20samplingtestindependentf1independencestatsticalsignificancecitedby:scholar:count:3recallstatisticstatistics
копироватьудалитьдобавить публикацию в буфер
2Adversarial training for unsupervised bilingual lexicon induction
M. Zhang, Y. Liu, H. Luan, и M. Sun. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1, стр. 1959--1970. (2017)
7 лет назад , @thoni
citedby:scholar:count:3
citedby:scholar:timestamp:2017-12-23
adversarial
unsupervised
translation
training
citedby:scholar:count:3citedby:scholar:timestamp:2017-12-23adversarialunsupervisedtranslationtraining
копироватьудалитьдобавить публикацию в буфер
2Adjusting word embeddings with semantic intensity orders
J. Kim, M. de Marneffe, и E. Fosler-Lussier. ACL 2016 workshop on Representation Learning for NLP (RepL4NLP), стр. 62--69. (2016)
7 лет назад , @thoni
intensity
citedby:scholar:timestamp:2017-10-22
semantic
citedby:scholar:count:3
embeddings
learning
intensitycitedby:scholar:timestamp:2017-10-22semanticcitedby:scholar:count:3embeddingslearning
копироватьудалитьдобавить публикацию в буфер
3Improving Interpretability of Deep Neural Networks with Semantic Information
Y. Dong, H. Su, J. Zhu, и B. Zhang. arXiv preprint arXiv:1703.04096, (2017)
7 лет назад , @becker
toread
neural
citedby:scholar:count:3
citedby:scholar:timestamp:2017-10-13
interpretability
interpretation
semantics
network
information
nn
toreadneuralcitedby:scholar:count:3citedby:scholar:timestamp:2017-10-13interpretabilityinterpretationsemanticsnetworkinformationnn
копироватьудалитьдобавить публикацию в буфер
3Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors.
B. Maag, O. Saukh, D. Hasenfratz, и L. Thiele. EWSN, стр. 169--180. (2016)
8 лет назад , @becker
linear
citedby:scholar:timestamp:2017-5-12
neural
citedby:scholar:count:3
regression
air
sensor
networks
airprobe
calibration
multi
quality
linearcitedby:scholar:timestamp:2017-5-12neuralcitedby:scholar:count:3regressionairsensornetworksairprobecalibrationmultiquality
копироватьудалитьдобавить публикацию в буфер
1A Survey on Trajectory Data Mining: Techniques and Applications
Z. Feng, и Y. Zhu. IEEE Access, (2016)
8 лет назад , @becker
citedby:scholar:timestamp:2017-4-21
inthesis
mining
citedby:scholar:count:3
sequential
pattern
diss
trajectory
citedby:scholar:timestamp:2017-4-21inthesisminingcitedby:scholar:count:3sequentialpatterndisstrajectory
копироватьудалитьдобавить публикацию в буфер
1Modeling and understanding intrinsic characteristics of human mobility
J. Toole, Y. de Montjoye, M. González, и A. Pentland. Social Phenomena, Springer, (2015)
8 лет назад , @becker
geo
mobility
inthesis
citedby:scholar:count:3
citedby:scholar:timestamp:2017-2-20
diss
spatial
human
geomobilityinthesiscitedby:scholar:count:3citedby:scholar:timestamp:2017-2-20dissspatialhuman
копироватьудалитьдобавить публикацию в буфер
1A generalized radiation model for human mobility: Spatial scale, searching direction and trip constraint
C. Kang, Y. Liu, D. Guo, и K. Qin. PloS ONE, 10 (11): e0143500 (2015)
8 лет назад , @becker
geo
mobility
inthesis
radiation
citedby:scholar:count:3
scale
diss
spatial
human
citedby:scholar:timestamp:2017-2-14
geomobilityinthesisradiationcitedby:scholar:count:3scaledissspatialhumancitedby:scholar:timestamp:2017-2-14
копироватьудалитьдобавить публикацию в буфер

&lang;&lang;
⟨
1
&rang;
⟩⟩

BibSonomy

закладки (спрятать)
показать
всё
только закладки
закладки на страницу
5
10
20
50
100
RSS
BibTeX
XML

публикации (спрятать)18
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...

1Interpretable machine learning prediction of all-cause mortality

1The effect of mindfulness-based interventions on immunity-related biomarkers: a comprehensive meta-analysis of randomised controlled trials

2Association between adolescent oral contraceptive use and future major depressive disorder: a prospective cohort study

1Differential network analysis by simultaneously considering changes in gene interactions and gene expression

1Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks

2Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering

1Evolution and transition of expression trajectory during human brain development

1scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

1Obtaining Data From Electronic Health Records

2From Louvain to Leiden: guaranteeing well-connected communities

2Statistical hypothesis tests for NLP

2Adversarial training for unsupervised bilingual lexicon induction

2Adjusting word embeddings with semantic intensity orders

3Improving Interpretability of Deep Neural Networks with Semantic Information

3Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors.

1A Survey on Trajectory Data Mining: Techniques and Applications

1Modeling and understanding intrinsic characteristics of human mobility

1A generalized radiation model for human mobility: Spatial scale, searching direction and trip constraint

uw_ws12_web2.0

просмотр

сходные по теме тэги

тэги

закладки (спрятать) показатьвсётолько закладкизакладки на страницу5102050100 RSSBibTeXXML

публикации (спрятать)18 показатьвсётолько публикациипубликации на страницу5102050100 расширенный... RSSBibTeXRDFдальше...

uw_ws12_web2.0

просмотр

сходные по теме тэги

тэги

закладки (спрятать)
показать
всё
только закладки
закладки на страницу
5
10
20
50
100
RSS
BibTeX
XML

публикации (спрятать)18
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...