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1‪Sara Hajian‬ - ‪Google Scholar‬
https://scholar.google.de/citations?hl=en&user=rXY4178AAAAJ&view_op=list_works&sortby=pubdate
3 years ago by @becker
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fairness
subgroup
subgroups
machine
learning
fairnesssubgroupsubgroupsmachinelearning
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1~wu/hgflow - sourcehut hg
https://hg.sr.ht/~wu/hgflow
4 years ago by @becker
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productivity
mercurial
flow
hg
hgflow
productivitymercurialflowhghgflow
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1zqfang/GSEApy: Gene Set Enrichment Analysis in Python
https://github.com/zqfang/GSEApy
2 years ago by @becker
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enrichment
set
database
gene
python
data
py
api
analysis
base
enrichmentsetdatabasegenepythondatapyapianalysisbase
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1ziberna/i3-py: Python based tools for i3 users and developers
https://github.com/ziberna/i3-py
5 years ago by @thoni
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linux
python
i3
tools
linuxpythoni3tools
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1ZEIT ONLINE Stellenmarkt - Jobbörse der ZEIT - Alle aktuellen Jobs im ZEIT ONLINE Stellenmarkt
https://jobs.zeit.de/
6 years ago by @becker
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jobs
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zeit
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1Your Guide to a Practical Linux Desktop With i3WM
i3WM is not a traditional desktop environment, such as Unity or Gnome. Instead, it is only a window manager, and it's pretty cool.
5 years ago by @thoni
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linux
i3
gui
statusbar
linuxi3guistatusbar
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1Your Beginner Guide to Roam Research — Keep Productive
https://www.keepproductive.com/blog/roam-research-guide
3 years ago by @becker
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notion
maps
productivity
link
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notionmapsproductivitylinklinksimmermindnetworkroamresearch
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1Your API-Centric Web App Is Probably Not Safe Against XSS and CSRF
http://www.redotheweb.com/2015/11/09/api-security.html
7 years ago by @becker
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forgery
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1You should know these - Imgur
http://imgur.com/gallery/dZvak2P
11 years ago by @thoni
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educational
imgur
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educationalimgurwebsites
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1You do not Need to Work 80 Hours a Week to Succeed in Academia | SAS Confidential
http://sasconfidential.com/2015/11/25/80-hours/
9 years ago by @thoni
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academia
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1yoonkim/CNN_sentence: CNNs for sentence classification
https://github.com/yoonkim/CNN_sentence
7 years ago by @thoni
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sentence
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classification
sentenceembeddingsclassification
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2Yes you should understand backprop - Andrej Karpathy - Medium
https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b
5 years ago by @becker
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propagation
neural
prop
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karpathy
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propagationneuralpropbacklearningnetworkkarpathybackpropnn
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1yahoo/TensorFlowOnSpark: TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
7 years ago by @thoni
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tensorflow
spark
machine
learning
tensorflowsparkmachinelearning
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1Xi'an's Og | an attempt at bloggin, nothing more…
https://xianblog.wordpress.com/
8 years ago by @becker
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bayesian
frequentist
statistics
blog
bayesianfrequentiststatisticsblog
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1x11 - How can I set mouse sensitivity, not just mouse acceleration? - Unix & Linux Stack Exchange
https://unix.stackexchange.com/questions/90572/how-can-i-set-mouse-sensitivity-not-just-mouse-acceleration
5 years ago by @becker
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linux
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point
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linuxxinputpointtrackpointcarbonx1sensitivitykdetrackaccelerationspeed
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1Würzburg im Kampf gegen den Lärm | Service | Würzburg erleben
http://www.wuerzburgerleben.de/2015/02/26/wuerzburg-im-kampf-gegen-den-laerm/
9 years ago by @becker
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widenoise
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1www.aral-lubricants.de - Ölwegweiser
Recommended by ADAC: https://www.adac.de/infotestrat/reparatur-pflege-und-wartung/motor-und-oel/motoroel/default.aspx?ComponentId=27479&SourcePageId=49407
8 years ago by @becker
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oil
which
car
oilwhichcar
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1Www tutorial2013 userengagement
http://de.slideshare.net/Culturadigital/www-tutorial2013-userengagement
11 years ago by @thoni
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engagement
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tutorial
user
www13
engagementmeasuringtutorialuserwww13
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1WWP - women writers project
http://www.wwp.northeastern.edu/
10 years ago by @schwemmlein
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dataset
text
datasettext
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1Wu: Word mover's embedding: From word2vec to document... - Google Scholar
https://scholar.google.de/scholar?cites=16054486152486360838&as_sdt=2005&sciodt=0,5&hl=en#fromHistory
3 years ago by @schwemmlein
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documentembeddingreferencesw2vword_moverword
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publications (hide)2705
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1ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI
S. Fazli, M. Danóczy, J. Schelldorfer, and K. Mueller. NeuroImage, (2011)
5 years ago by @becker
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nalab
subgroups
effect
prediction
mixed
model
nalabsubgroupseffectpredictionmixedmodel
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4Zipf's law for Web surfers
M. Levene, J. Borges, and G. Loizou. Knowledge and Information Systems, 3 (1): 120--129 (2001)
7 years ago by @becker
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citedby:scholar:count:84
trail
citedby:scholar:timestamp:2017-6-26
inthesis
navigation
length
diss
citedby:scholar:count:84trailcitedby:scholar:timestamp:2017-6-26inthesisnavigationlengthdiss
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2You Are What You Like! Information Leakage Through Users’ Interests
A. Chaabane, G. Acs, and M. Kaafar. Proc. Annual Network and Distributed System Security Symposium, (2012)
12 years ago by @schwemmlein
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given
social
ws2012
seminar
lda
network
givensocialws2012seminarldanetwork
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6You Are How You Click: Clickstream Analysis for Sybil Detection.
G. Wang, T. Konolige, C. Wilson, X. Wang, H. Zheng, and B. Zhao. USENIX Security, page 241--256. (2013)
9 years ago by @thoni
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detection
toread
clickstream
analysis
spam
detectiontoreadclickstreamanalysisspam
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6You Are How You Click: Clickstream Analysis for Sybil Detection.
G. Wang, T. Konolige, C. Wilson, X. Wang, H. Zheng, and B. Zhao. Usenix Security, 14, page 241--256. (2013)
7 years ago by @becker
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citedby:scholar:timestamp:2017-4-23
subgroup
web
inthesis
navigation
clustering
diss
citedby:scholar:count:123
citedby:scholar:timestamp:2017-4-23subgroupwebinthesisnavigationclusteringdisscitedby:scholar:count:123
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4YAGO: A Large Ontology from Wikipedia and WordNet
F. Suchanek, G. Kasneci, and G. Weikum. Web Semantics: Science, Services and Agents on the World Wide Web, 6 (3): 203 - 217 (2008)
8 years ago by @thoni
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yago
ontology
yagoontology
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19YAGO: A Core of Semantic Knowledge
F. Suchanek, G. Kasneci, and G. Weikum. WWW, New York, NY, USA, ACM Press, (2007)
6 years ago by @thoni
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semantic
yago
wikipedia
ontology
semanticyagowikipediaontology
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19Yago: A Core of Semantic Knowledge
F. Suchanek, G. Kasneci, and G. Weikum. Proceedings of the 16th International Conference on World Wide Web, page 697--706. New York, NY, USA, ACM, (2007)
8 years ago by @thoni
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proposal
tau
yago
ontology
proposaltauyagoontology
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3YAGO3: A Knowledge Base from Multilingual Wikipedias
F. Mahdisoltani, J. Biega, and F. Suchanek. (2015)
10 years ago by @thoni
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toread
yago3
yago
wikipedia
multilingual
ontology
toreadyago3yagowikipediamultilingualontology
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1YAGO3: A knowledge base from multilingual Wikipedias
F. Mahdisoltani, J. Biega, and F. Suchanek. Biennial Conference on Innovative Data Systems Research, CIDR 2015, (2014)
8 years ago by @becker
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phtotowalking
inthesis
imported-verified
diss
phtotowalkinginthesisimported-verifieddiss
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2XStream: a Signal-Oriented Data Stream Management System.
L. Girod, Y. Mei, R. Newton, S. Rost, A. Thiagarajan, H. Balakrishnan, and S. Madden. ICDE, page 1180-1189. IEEE, (2008)
11 years ago by @fabi.allendorf
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xstream
ba
xstreamba
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2XAI—Explainable artificial intelligence
D. Gunning, M. Stefik, J. Choi, T. Miller, S. Stumpf, and G. Yang. Science Robotics, (2019)
3 years ago by @becker
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project:bmbf
citedby:scholar:timestamp:2021-7-25
citedby:scholar:count:1023
project:bmbfcitedby:scholar:timestamp:2021-7-25citedby:scholar:count:1023
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5World-Wide Web: The Information Universe
T. Berners-Lee, R. Cailliau, J. Groff, and B. Pollermann. Internet Research, 2 (1): 52--58 (1992)
7 years ago by @becker
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world
web
inthesis
wide
diss
worldwebinthesiswidediss
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23WordNet: a lexical database for English
G. Miller. Communications of the ACM, 38 (11): 39--41 (1995)
6 years ago by @thoni
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wordnet
citedby:scholar:timestamp:2017-12-21
citedby:scholar:count:9935
wordnetcitedby:scholar:timestamp:2017-12-21citedby:scholar:count:9935
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1WordNet
C. Fellbaum. Wiley Online Library, (1998)
8 years ago by @thoni
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wordnet
wordnet
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7word2vec Parameter Learning Explained
X. Rong. (2014)cite arxiv:1411.2738.
8 years ago by @thoni
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parameter
learning
word2vec
parameterlearningword2vec
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3word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Y. Goldberg, and O. Levy. (2014)cite arxiv:1402.3722.
8 years ago by @thoni
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negative
sampling
word2vec
negativesamplingword2vec
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3Word2Vec applied to Recommendation: Hyperparameters Matter
H. Caselles-Dupré, F. Lesaint, and J. Royo-Letelier. (2018)cite arxiv:1804.04212.
6 years ago by @thoni
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toread
recommendation
word2vec
toreadrecommendationword2vec
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2Word Sense Discovery for Web Information Retrieval.
T. Nykiel, and H. Rybinski. ICDM Workshops, page 267-274. IEEE Computer Society, (2008)
12 years ago by @thoni
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discovery
sense
word
discoverysenseword
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3Word sense discovery based on sense descriptor dissimilarity
R. Rapp. Proceedings of the Ninth Machine Translation Summit, page 315--322. (2003)
6 years ago by @thoni
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discovery
sense
word
discoverysenseword
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