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1Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer | SpringerLink
https://link.springer.com/article/10.1186/s13059-019-1851-8
4 years ago by @becker
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1GitHub - sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
https://github.com/sebastianruder/NLP-progress
4 years ago by @hotho
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1hurcy/awesome-ehr-deeplearning: Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
https://github.com/hurcy/awesome-ehr-deeplearning
5 years ago by @becker
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1Marc Sebban - Homepage
https://perso.univ-st-etienne.fr/sebbanma/
6 years ago by @hotho
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2KI-Landkarte (Karte) - PLS
https://www.plattform-lernende-systeme.de/ki-landkarte.html
7 years ago by @hotho
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Germany
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1ALLBUS: ALLBUS
https://www.gesis.org/allbus/allbus/
8 years ago by @becker
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1ISSP: Home
https://www.gesis.org/issp/home/
8 years ago by @becker
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1Data and Documentation by Year | European Social Survey (ESS)
http://www.europeansocialsurvey.org/data/round-index.html
8 years ago by @becker
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1Wearable Technology Database | Vandrico Inc
http://vandrico.com/wearables/
8 years ago by @hotho
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1Deep Learning - Scholarpedia
Deep Learning has revolutionised Pattern Recognition and Machine Learning. It is about credit assignment in adaptive systems with long chains of potentially causal links between actions and consequences.
10 years ago by @hotho
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wikipedia
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6Publications
http://www.ontologymatching.org/publications.html
11 years ago by @hotho
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1Das Poster - Le Poster – The Poster - Il Poster
http://www.computerposter.ch/
14 years ago by @hotho
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computer
informatik
überblick
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computerinformatiküberblicksurveyhistorygeschichte
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1KWTR: Ontology Learning - semanticweb.org
http://semanticweb.org/wiki/KWTR:_Ontology_Learning
16 years ago by @hotho
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ol
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surveyoltools
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2MAGIX Blog - Das deutsche Social Media Prisma
http://blog.magix.com/de/archives/783-Das-deutsche-Social-Media-Prisma.html
16 years ago by @hotho
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landschaft
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1Public Deliverables
http://www.mymediaproject.org/Deliverables.aspx
16 years ago by @hotho
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1Yury Lifshits | A Guide to Web Research
http://yury.name/webguide/
16 years ago by @hotho
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2Kochbuch / FrontPage
http://kochbuch.pbwiki.com/
17 years ago by @hotho
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1weberwu's plagiat Bookmarks on Delicious
http://delicious.com/weberwu/plagiat
17 years ago by @hotho
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4netbib weblog » Literaturverwaltungsprogramme …
http://log.netbib.de/archives/2009/03/27/literaturverwaltungsprogramme-3/
17 years ago by @hotho
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literature
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1100 Social Networks to Help You Reach All Your Goals | Rated Colleges
http://www.ratedcolleges.com/blog/2009/100-social-networks-to-help-you-reach-all-your-goals/
17 years ago by @hotho
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2Image segmentation using deep learning: A survey
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, and D. Terzopoulos. IEEE transactions on pattern analysis and machine intelligence, (2021)
3 years ago by @becker
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image
citedby:scholar:timestamp:2023-1-5
hecodex
review
segmentation
survey
citedby:scholar:count:1330
imagecitedby:scholar:timestamp:2023-1-5hecodexreviewsegmentationsurveycitedby:scholar:count:1330
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2Integrating Machine Learning with Human Knowledge
C. Deng, X. Ji, C. Rainey, J. Zhang, and W. Lu. iScience, 23 (11): 101656 (2020)
3 years ago by @becker
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background
machine
review
learning
survey
knowledge
integration
backgroundmachinereviewlearningsurveyknowledgeintegration
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250 years of hormonal contraception—time to find out, what it does to our brain
B. Pletzer, and H. Kerschbaum. Frontiers in neuroscience, (2014)
3 years ago by @becker
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m:id:contraception:coordinate:y:-518.6786193847656
neural
citedby:scholar:timestamp:2022-5-5
neuro
m:id:contraception:node
contraception
m:
brain
citedby:scholar:count:107
project:contraception
review
m:id:contraception:coordinate:x:-384.2443389892578
survey
m:id:contraception:coordinate:y:-518.6786193847656neuralcitedby:scholar:timestamp:2022-5-5neurom:id:contraception:nodecontraceptionm:braincitedby:scholar:count:107project:contraceptionreviewm:id:contraception:coordinate:x:-384.2443389892578survey
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1Using Community Ecology Theory and Computational Microbiome Methods To Study Human Milk as a Biological System
L. Shenhav, and M. Azad. mSystems, 7 (1): e01132--21 (2022)
4 years ago by @becker
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machine
review
milk
learning
survey
human
computational
machinereviewmilklearningsurveyhumancomputational
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1AI in health and medicine
P. Rajpurkar, E. Chen, O. Banerjee, and E. Topol. Nature Medicine, (2022)
4 years ago by @becker
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citedby:scholar:timestamp:2022-2-9
artificial
citedby:scholar:count:1
nature
machine
ai
review
learning
medicine
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health
intelligence
citedby:scholar:timestamp:2022-2-9artificialcitedby:scholar:count:1naturemachineaireviewlearningmedicinesurveyhealthintelligence
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2Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Y. Si, J. Du, Z. Li, X. Jiang, T. Miller, F. Wang, W. Zheng, and K. Roberts. Journal of Biomedical Informatics, (2021)
4 years ago by @becker
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citedby:scholar:count:12
deep
records
learning
representation
health
ehr
citedby:scholar:timestamp:2021-12-15
record
review
survey
embedding
electronic
citedby:scholar:count:12deeprecordslearningrepresentationhealthehrcitedby:scholar:timestamp:2021-12-15recordreviewsurveyembeddingelectronic
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1A survey on image data augmentation for deep learning
C. Shorten, and T. Khoshgoftaar. Journal of Big Data, 6 (1): 1--48 (2019)
4 years ago by @becker
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image
citedby:scholar:timestamp:2021-11-23
deep
citedby:scholar:count:2261
data
learning
survey
augmentation
imagecitedby:scholar:timestamp:2021-11-23deepcitedby:scholar:count:2261datalearningsurveyaugmentation
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1A survey on contrastive self-supervised learning
A. Jaiswal, A. Babu, M. Zadeh, D. Banerjee, and F. Makedon. Technologies, 9 (1): 2 (2021)
4 years ago by @becker
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citedby:scholar:count:67
supervised
contrastive
review
learning
survey
self
citedby:scholar:timestamp:2021-10-17
citedby:scholar:count:67supervisedcontrastivereviewlearningsurveyselfcitedby:scholar:timestamp:2021-10-17
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3A survey of outlier detection methodologies
V. Hodge, and J. Austin. Artificial intelligence review, 22 (2): 85--126 (2004)
4 years ago by @becker
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project:bmbf
citedby:scholar:count:3689
detection
outlier
survey
citedby:scholar:timestamp:2021-7-28
project:bmbfcitedby:scholar:count:3689detectionoutliersurveycitedby:scholar:timestamp:2021-7-28
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2A comprehensive survey of anomaly detection techniques for high dimensional big data
S. Thudumu, P. Branch, J. Jin, and J. Singh. Journal of Big Data, 7 (1): 1--30 (2020)
4 years ago by @becker
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project:bmbf
detection
citedby:scholar:count:23
outlier
survey
citedby:scholar:timestamp:2021-7-28
project:bmbfdetectioncitedby:scholar:count:23outliersurveycitedby:scholar:timestamp:2021-7-28
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1Machine learning for perturbational single-cell omics
Y. Ji, M. Lotfollahi, F. Wolf, and F. Theis. Cell Systems, 12 (6): 522--537 (2021)
4 years ago by @becker
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models
modeling
deep
wolf
perturbation
theis
learning
multi
cell
omics
background
machine
multiomics
review
survey
model
knowledge
single
generative
integration
modelsmodelingdeepwolfperturbationtheislearningmulticellomicsbackgroundmachinemultiomicsreviewsurveymodelknowledgesinglegenerativeintegration
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8An overview of multi-task learning in deep neural networks
S. Ruder. arXiv preprint arXiv:1706.05098, (2017)
4 years ago by @becker
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overview
citedby:scholar:count:1237
task
paper:milkreview:selected
deep
neural
machine
learning
survey
networks
multi
citedby:scholar:timestamp:2021-5-29
overviewcitedby:scholar:count:1237taskpaper:milkreview:selecteddeepneuralmachinelearningsurveynetworksmulticitedby:scholar:timestamp:2021-5-29
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1Multi-task learning for dense prediction tasks: A Survey
S. Vandenhende, S. Georgoulis, W. Van Gansbeke, M. Proesmans, D. Dai, and L. Van Gool. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)
4 years ago by @becker
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multitask
task
toread
citedby:scholar:count:6
learning
survey
multi
citedby:scholar:timestamp:2021-5-29
multitasktasktoreadcitedby:scholar:count:6learningsurveymulticitedby:scholar:timestamp:2021-5-29
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1Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw. arXiv preprint arXiv:2009.09796, (2020)
4 years ago by @becker
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multitask
task
toread
citedby:scholar:count:12
learning
survey
multi
citedby:scholar:timestamp:2021-5-29
multitasktasktoreadcitedby:scholar:count:12learningsurveymulticitedby:scholar:timestamp:2021-5-29
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1A survey on multi-task learning
Y. Zhang, and Q. Yang. IEEE Transactions on Knowledge and Data Engineering, (2021)
4 years ago by @becker
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citedby:scholar:count:635
multitask
task
paper:milkreview:selected
learning
survey
multi
citedby:scholar:timestamp:2021-5-29
citedby:scholar:count:635multitasktaskpaper:milkreview:selectedlearningsurveymulticitedby:scholar:timestamp:2021-5-29
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1Multimodal machine learning: A survey and taxonomy
T. Baltrusaitis, C. Ahuja, and L. Morency. IEEE transactions on pattern analysis and machine intelligence, 41 (2): 423--443 (2018)
4 years ago by @becker
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citedby:scholar:count:842
paper:milkreview:selected
machine
learning
survey
taxonomy
model
multimodal
multi
citedby:scholar:timestamp:2021-5-29
citedby:scholar:count:842paper:milkreview:selectedmachinelearningsurveytaxonomymodelmultimodalmulticitedby:scholar:timestamp:2021-5-29
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1Deep Learning for Anomaly Detection
G. Pang, C. Shen, L. Cao, and A. Hengel. ACM Computing Surveys, 54 (2): 1--38 (March 2021)
4 years ago by @hotho
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anomaly
detection
survey
2020
anomalydetectionsurvey2020
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2A Survey of the State of Explainable AI for Natural Language Processing
M. Danilevsky, K. Qian, R. Aharonov, Y. Katsis, B. Kawas, and P. Sen. (2020)cite arxiv:2010.00711Comment: To appear in AACL-IJCNLP 2020.
4 years ago by @hotho
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nlp
survey
xai
nlpsurveyxai
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2Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
A. Andoni, and P. Indyk. 2006 47th annual IEEE symposium on foundations of computer science (FOCS'06), page 459--468. IEEE, (2006)
5 years ago by @becker
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approximate
hashing
lsh
sensitive
review
locality
survey
nearest
neighbor
nn
paper:fastcor
approximatehashinglshsensitivereviewlocalitysurveynearestneighbornnpaper:fastcor
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1Multi-omics data integration, interpretation, and its application
I. Subramanian, S. Verma, S. Kumar, A. Jere, and K. Anamika. Bioinformatics and biology insights, (2020)
5 years ago by @becker
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citedby:scholar:timestamp:2021-2-14
paper:milkreview:selected
data
citedby:scholar:count:57
application
multi
paper:fastcor
p21
omics
multiomics
review
survey
relatedwork
integration
citedby:scholar:timestamp:2021-2-14paper:milkreview:selecteddatacitedby:scholar:count:57applicationmultipaper:fastcorp21omicsmultiomicsreviewsurveyrelatedworkintegration
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