beel.org PR:4 Prof. Joeran Beel, Trinity College

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Prof. Joeran Beel, Trinity College Dub

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machine learning text mining natural language processing the blockc

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Joeran Beel and his team are part of the ADAPT Research Centre as well as of the Knowledge and Data

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域名年龄:24年3个月12天 注册日期:2001年05月25日 到期时间:
邮箱:j 电话:+49.515158583975
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IP:85.13.131.38 同IP网站2个详情
地址:德国

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beel.org

域名年龄: 24年3个月12天
注册时间: 2001-05-25
注册商: RegistryGate GmbH
注册邮箱: j
联系电话: +49.515158583975

获取时间: 2016年09月27日 07:45:20
Domain Name: BEEL.ORG
Domain ID: D71389571-LROR
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Referral URL: http://www.registrygate.com
Updated Date: 2016-05-26T01:21:43Z
Creation Date: 2001-05-25T23:15:04Z
Registry Expiry Date: 2017-05-25T23:15:04Z
Sponsoring Registrar: RegistryGate GmbH
Sponsoring Registrar IANA ID: 1328
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Registrant ID: BJ878445
Registrant Name: Beel Joran
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Registrant Street: Edithawinkel 3
Registrant City: Magdeburg
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Registrant Postal Code: 39108
Registrant Country: DE
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Admin ID: BJ878445
Admin Name: Beel Joran
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访问时间:2019年06月03日 20:15:50
目标网址:https://www.scss.tcd.ie/joeran.beel/
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85.13.131.38 共2个网站 (德国)

Prof. Joeran Beel, Trini

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beel.com
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beel.net
已注册 2015年07月20日

beel.cn
已注册 2006年05月29日

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抓取时间:2019年06月03日 20:15:59
网址:http://beel.org/
标题:Prof. Joeran Beel, Trinity College Dublin, Ireland
关键字:machine learning, text mining, natural language processing, the blockchain, recommender systems, search engines, news an
描述:Joeran Beel and his team are part of the ADAPT Research Centre as well as of the Knowledge and Data Engineering Group (KDEG) of the Intelligent Systems Discipline at the School of Computer Science and
主体:

Trinity College Dublin|School of Computer Science & Statistics|Intelligent Systems Discipline|Knowledge and Data Engineering Group|ADAPT CentreToggle NavigationHomePeoplePublicationsResearchProjectsIndustryStudentsJobsContactBlogSearch for:Working Group of Dr. Joeran BeelUssher Assistant Professor in Intelligent SystemsWe are part of the ADAPT Research Centre as well as of the Knowledge and Data Engineering Group (KDEG) in the Artificial Intelligence (AI) Discipline at the School of Computer Science and Statistics at Trinity College Dublin. We work on automated machine learning (AutoML) & meta-learning, information retrieval (IR), natural language processing (NLP), the blockchain and other technologies, in areas including recommender systems, algorithm selection, news analysis, plagiarism detection, and document engineering. Domains we are  particularly interested in include digital libraries & digital humanities, eHealth, tourism, law, FinTech, and mobility.BlogDarwin & GoliathOur Business Startup ‘Darwin & Goliath’ is Among the 10 Finalists at NDRC’s Business Plan CompetitionA few months ago, we — Alan Griffin, Conor O’Shea, and I — started the private beta of our recommender-system as-a-service Darwin & Goliath. Now, we made it to the final round (10 start-ups) of Read more…Machine LearningGoogle integrates our Neural-Turing-Machine Implementation in TensorFlowGoogle integrated our implementation of a Neural Turing Machine (NTM) into its official TensorFlow release 1.14.0-rc0. The implementation is based on the work of our student Mark Collier. The work was previously published at the Read more…Recommender SystemsNew Publication: Choice Overload and Recommendation Effectiveness in Related-Article RecommendationsThe International Journal on Digital Libraries (IJDL) published our manuscript “Choice Overload and Recommendation Effectiveness in Related-Article Recommendations: Analyzing the Sowiport Digital Library”. The paper is freely available as open access via Springer. The paper Read more…Mr. DLibDocument Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender SystemsOur paper “Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems” was accepted for publication at the ACM/IEEE Joint Conference on Digital Libraries. 1 Introduction Many recommendation algorithms are available to Read more…Machine Learning240 PhD stipends in AI, ML, AutoML, RecSys, NLP, IR, AR, VR, … in Ireland (~2 in Our Group)Science Foundation Ireland (SFI) agreed to fund several Centres for Research Training (CRT), and I will be involved in two of them, focusing on, among others, artificial intelligence, machine learning, automated machine learning (AutoML), meta-learning, Read more…InternalVictor Brunel Visits Us For a 3-Months Internship in Machine-Learning Researc