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1Upgrading TP-Link Archer C7 AC1750 to use with OpenWRT | smallhacks
https://smallhacks.wordpress.com/2015/11/22/upgrading-tp-link-archer-c7-ac1750-to-use-with-openwrt/
6 years ago by @thoni
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2Reverse SSH Tunneling
https://www.howtoforge.com/reverse-ssh-tunneling
7 years ago by @thoni
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1Ruben-Sten/TeXiFy-IDEA: LaTeX support for the IntelliJ platform by JetBrains.
https://github.com/Ruben-Sten/TeXiFy-IDEA
7 years ago by @thoni
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1Integrating Spark with scikit-learn, visualizing eigenvectors, and fun! – Adventures in Data Science
https://adventuresindatascience.wordpress.com/2016/04/02/integrating-spark-with-scikit-learn-visualizing-eigenvectors-and-fun/
7 years ago by @thoni
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1attardi/wikiextractor: A tool for extracting plain text from Wikipedia dumps
https://github.com/attardi/wikiextractor
7 years ago by @thoni
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3AI and Deep Learning in 2017 – A Year in Review – WildML
http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/
7 years ago by @thoni
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1word embeddings what, how and whither
Rant/Keynote by Yoav Goldberg
7 years ago by @thoni
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1Thomas Niebler – Research Scientist
https://www.thomas-niebler.de/
7 years ago by @thoni
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1Google's CEO Doesn't Use Bullet Points and Neither Should You | Inc.com
https://www.inc.com/carmine-gallo/how-googles-ceo-creates-brain-friendly-presentations.html
7 years ago by @thoni
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2gwohlgen/w2v_ol: Using word embeddings (word2vec) for ontology learning
https://github.com/gwohlgen/w2v_ol
7 years ago by @thoni
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1Semantic web semantics vs. vector embedding machine learning semantics - bobdc.blog
http://www.snee.com/bobdc.blog/2016/09/semantic-web-semantics-vs-vect.html
7 years ago by @thoni
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1Minute Madness - VideoLectures.NET
http://videolectures.net/iswc2017_minute_madness/
7 years ago by @thoni
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2Wikimedia Research Newsletter, July 2017 – Wikimedia Blog
https://blog.wikimedia.org/2017/10/15/research-newsletter-july-2017/
7 years ago by @thoni
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1GPRA Vertrauensindex: Facebook und Yahoo fallen durch, Wikipedia räumt ab
http://www.horizont.net/agenturen/nachrichten/GPRA-Vertrauensindex-Facebook-und-Yahoo-fallen-durch-Wikipedia-raeumt-ab-163201
7 years ago by @thoni
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3Understanding Hinton’s Capsule Networks. Part I: Intuition.
https://medium.com/ai%C2%B3-theory-practice-business/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b
7 years ago by @thoni
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1Why Should Engineers and Scientists Be Worried About Color?
http://www.research.ibm.com/people/l/lloydt/color/color.HTM
7 years ago by @thoni
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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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3Speech and Language Processing
https://web.stanford.edu/~jurafsky/slp3/
7 years ago by @thoni
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1Wikibase/DataModel/JSON - MediaWiki
https://www.mediawiki.org/wiki/Wikibase/DataModel/JSON#Claims_and_Statements
7 years ago by @thoni
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1SANSA-Stack
https://github.com/SANSA-Stack
7 years ago by @thoni
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2Web Mining for Identifying Research Trends
Q. Tho, S. Hui, and A. ER. (2003)
18 years ago by @beate
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1Proceedings of the Second International Workshop on Text-Based Information Retrieval
B. Stein, and S. Meier (Eds.) (2005)Research Reports RR-7--2005.
18 years ago by @beate
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2Trend Detection through Temporal Link Analysis.
A. E., C. D., H. M., L. R., and S. A.. (2004)
18 years ago by @beate
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1Domain-adaptive information extraction
G. Neumann, and G. Mazzini. (1998)
18 years ago by @beate
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informationextraction
informationextraction
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8Fast and effective text mining using linear-time document clustering
B. Larsen, and C. Aone. KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, page 16--22. New York, NY, USA, ACM Press, (1999)
18 years ago by @beate
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1Upgrading TP-Link Archer C7 AC1750 to use with OpenWRT | smallhacks

2Reverse SSH Tunneling

1Ruben-Sten/TeXiFy-IDEA: LaTeX support for the IntelliJ platform by JetBrains.

1Integrating Spark with scikit-learn, visualizing eigenvectors, and fun! – Adventures in Data Science

1attardi/wikiextractor: A tool for extracting plain text from Wikipedia dumps

3AI and Deep Learning in 2017 – A Year in Review – WildML

1word embeddings what, how and whither

1Thomas Niebler – Research Scientist

1Google's CEO Doesn't Use Bullet Points and Neither Should You | Inc.com

2gwohlgen/w2v_ol: Using word embeddings (word2vec) for ontology learning

1Semantic web semantics vs. vector embedding machine learning semantics - bobdc.blog

1Minute Madness - VideoLectures.NET

2Wikimedia Research Newsletter, July 2017 – Wikimedia Blog

1GPRA Vertrauensindex: Facebook und Yahoo fallen durch, Wikipedia räumt ab

3Understanding Hinton’s Capsule Networks. Part I: Intuition.

1Why Should Engineers and Scientists Be Worried About Color?

1yoonkim/CNN_sentence: CNNs for sentence classification

3Speech and Language Processing

1Wikibase/DataModel/JSON - MediaWiki

1SANSA-Stack

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2Web Mining for Identifying Research Trends

1Proceedings of the Second International Workshop on Text-Based Information Retrieval

2Trend Detection through Temporal Link Analysis.

1Domain-adaptive information extraction

8Fast and effective text mining using linear-time document clustering

Informatik VI - Universität Würzburg

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publications (hide)2605 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

Informatik VI - Universität Würzburg

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