Website value calculator & SEO Checker => bbdc.berlin
SEO report with information and free domain appraisal for bbdc.berlin. It is a domain hosted in . Its server is hosted on IP 94.130.228.22. The domain is ranked at the number 1768982 as a world ranking of web pages. According to estimated data we have access to potential gains of this site are 30 dollars per month. In annual terms, the domain bbdc.berlin could be earning more than 363 dollars. If someone wanted to buy the domain a good selling price would be 3631 dollars.
These data are estimated and can not be taken as 100 % real. Only give an estimate of profits depending on the subject and the traffic generated by bbdc.berlin . The estimated number of unique visitors accessing bbdc.berlin is 264. Thus the total number of people who visit this page per month would be 7931 people.
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- Current Ip of the domain: 94.130.228.22
- Charset of page: UTF-8
- Total Keywords: 954
- Total Links: Anchor textTypeLinkSkip to the contentfollow#site-contentfollowhttps://bifold.berlinHomefollowhttps://bifold.berlin/Newsfollowhttps://bifold.berlin/news/Peoplefollowhttps://bifold.berlin/people/Researchfollowhttps://bifold.berlin/research/Educationfollowhttps://bifold.berlin/education/Systems and Toolsfollowhttps://bifold.berlin/systems-and-tools/Publicationsfollowhttps://bifold.berlin/publications/Opportunitiesfollowhttps://bifold.berlin/opportunities/Homefollowhttps://bifold.berlin/Newsfollowhttps://bifold.berlin/news/Peoplefollowhttps://bifold.berlin/people/Researchfollowhttps://bifold.berlin/research/Educationfollowhttps://bifold.berlin/education/Systems and Toolsfollowhttps://bifold.berlin/systems-and-tools/Publicationsfollowhttps://bifold.berlin/publications/Opportunitiesfollowhttps://bifold.berlin/opportunities/Homefollowhttps://bifold.berlin/Newsfollowhttps://bifold.berlin/news/Peoplefollowhttps://bifold.berlin/people/Researchfollowhttps://bifold.berlin/research/Educationfollowhttps://bifold.berlin/education/Systems and Toolsfollowhttps://bifold.berlin/systems-and-tools/Publicationsfollowhttps://bifold.berlin/publications/Opportunitiesfollowhttps://bifold.berlin/opportunities/followhttps://bifold.berlin/sigcomm-2021-best-paper-internet-hypergiants-expand-into-end-user-networks/Read Morefollowhttps://bifold.berlin/sigcomm-2021-best-paper-internet-hypergiants-expand-into-end-user-networks/followhttps://bifold.berlin/earth-observation-data-for-climate-change-research/Read Morefollowhttps://bifold.berlin/earth-observation-data-for-climate-change-research/followhttps://bifold.berlin/vldb2021-boss-workshop-features-open-source-big-data-systems/Read Morefollowhttps://bifold.berlin/vldb2021-boss-workshop-features-open-source-big-data-systems/followhttps://bifold.berlin/making-the-role-of-ai-in-medicine-explainable/Read Morefollowhttps://bifold.berlin/making-the-role-of-ai-in-medicine-explainable/October 07, 2021 Preventing Image-Scaling Attacks on Machine Learning BIFOLD Fellow Prof. Dr. Konrad Rieck and his colleagues provide the first comprehensive analysis of image-scaling attacks that target the pre-processing of machine learning, including a root-cause analysis and effective defenses.followhttps://bifold.berlin/preventing-image-scaling-attacks-on-machine-learning/September 21, 2021 In Search for Algorithmic Fairness Machine learning (ML) systems behind hiring procedures or the granting of loans repeatedly attract attention by discriminating against people on the basis of gender or race. BIFOLD researchers suggest a new machine learning model that leads to both: high accuracy and fairness.followhttps://bifold.berlin/in-search-for-algorithmic-fairness/September 07, 2021 New Type of Algorithm for Brain Research Together with an international team of researchers from Mayo Clinic BIFOLD Co-Director Prof. Dr. Klaus-Robert Müller developed a new type of algorithm to explore which regions of the brain interact with each other.followhttps://bifold.berlin/new-type-of-algorithm-for-brain-research/September 06, 2021 Using Machine Learning in the Fight against COVID-19 © Unsplashfollowhttps://bifold.berlin/using-machine-learning-in-the-fight-against-covid-19/August 13, 2021 VLDB2021: BOSS Workshop features Open Source Big Data Systems © BOSS workshopfollowhttps://bifold.berlin/vldb2021-boss-workshop-features-open-source-big-data-systems/July 22, 2021 BIFOLD welcomes the first six Junior Fellows BIFOLD is very pleased to announce the first six BIFOLD Junior Fellows. Their research interests show exceptional potential for BIFOLD’s research goals, either by combining machine learning and data management or by bridging the two disciplines and other research areas.followhttps://bifold.berlin/bifold-welcomes-the-first-six-junior-fellows/26 October2021 Berlin and virtual Auditing AI-Systems: From Principles to Practice Workshop in a series organized by the German Federal Offic efor Information Security, VdTÜV and Fraunhofer HHI.Including a session on "Federated Learning: Challenges for Security and Safety" with BIFOLD Fellow Wojciech Samek.followhttps://event.vdtuev.de/#/events/46ae644b-8b19-46df-91ca-29796431609d06 November2021 Berlin and virtual The Transformative Effect of Science Public discussion panel including BIFOLD Fellow Prof. Dr. Begüm Demir.A Joint Event of the Berlin University Alliance and the European Research Council as part of the Berlin Science week.followhttps://berlinscienceweek.com/event/the-transformative-effect-of-science-a-joint-event-of-the-berlin-university-alliance-and-the-european-research-council/09 November2021 Virtual event Cleaning for ML Talk by BIFOLD Fellow Prof. Dr. Ziawasch Abedjan, head of Databases and Information Systems at Leibniz Universität Hannover, at the AutoML Fall School 2021.followhttps://sites.google.com/view/automlschool21/schedule/invited-iv-ziawasch-abedjan17 November2021 Virtual event Deep Earth Query: Information Discovery from Big Earth Observation Data Archives Keynote by BIFOLD Fellow Prof. Dr. Begüm Demir at the Machine Learning for Earth Observation workshop, held in Conjunction with the ECML/PKDD 2021.followhttps://sites.google.com/view/maclean21/keynotes06 December2021 Virtual event Scalable and Fast Cloud Data Management Talk by Norbert Ritter (University of Hamburg), Felix Gessert (Baqend), Wolfram Wingerath (Baqend) as part of the Database Management Research Colloquium.If you are interested in participating, please contact [email protected].followProf. Dr.Klaus-Robert Müllerfollowhttps://bifold.berlin/person/prof-dr-klaus-robert-mueller/Prof. Dr.Volker Marklfollowhttps://bifold.berlin/person/prof-dr-rer-nat-volker-markl/Prof. Dr.Klaus-Robert Müllerfollowhttps://bifold.berlin/person/prof-dr-klaus-robert-mueller/SEE ALL PISfollowhttp://bifold.berlin/people/followhttps://www.tu-berlin.de/menue/home/parameter/en/followhttps://www.fu-berlin.de/en/index.htmlfollowhttps://www.hu-berlin.de/en?set_language=enfollowhttps://www.charite.de/en/followhttps://www.uni-potsdam.de/en/index.htmlfollowhttps://www.tu-braunschweig.de/en/followhttps://www.hhi.fraunhofer.de/en.htmlfollowhttps://www.fokus.fraunhofer.de/enfollowhttps://www.dfki.de/en/web/followhttps://www.zib.de/followhttps://www.dhzb.de/en/followhttps://www.mdc-berlin.de/defollowhttps://www.wias-berlin.de/index.jsp?lang=1followhttps://hpi.de/en.htmlfollowhttps://www.mpiwg-berlin.mpg.de/followhttps://www.molgen.mpg.de/2168/enfollowhttps://www.mpi-inf.mpg.de/home/SEE ALL PARTNERSfollowhttps://bifold.berlin/partner/back to top ↑ back to top ↑follow#site-headerSite Noticefollowhttps://bifold.berlin/site-noticeData Privacyfollowhttps://bifold.berlin/data-privacy/Contactfollowhttps://bifold.berlin/contact/Accept allfollow#Savefollow#Individual Privacy Preferencesfollow#Cookie Detailsfollow#Privacy Policyfollowhttps://bifold.berlin/data-privacy/Accept allfollow#Savefollow#Backfollow#Show Cookie Information Hide Cookie Informationfollow#Show Cookie Information Hide Cookie Informationfollow#https://twitter.com/privacyfollowhttps://twitter.com/privacyhttps://policies.google.com/privacy?hl=en&gl=enfollowhttps://policies.google.com/privacy?hl=en&gl=enpowered by Borlabs Cookiefollowhttps://borlabs.io/borlabs-cookie/Privacy Policyfollowhttps://bifold.berlin/data-privacy/
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- Title: 72 characters.
- Description: 130 characters.
- Domain Authority
- Monthly pages viewed: 7931
- Estimated worth: 3631 dollars
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Bifold – The Berlin Institute for the Foundations of Learning and Data
BIFOLD offers a broad range of research topics as well as a platform for interdisciplinary research and knowledge exchange with th
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