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team:mareike_picklum [2017/10/16 11:15] – [Teaching] mareikep | team:mareike_picklum [2017/10/16 11:24] – mareikep |
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In particular, I developed the publicly available web services [[http://prac.open-ease.org/|PRACWeb]], inviting users to have a look at the PRAC system in operation and [[http://pracmln.open-ease.org|WebMLN]] allowing users to try out inference and learning algorithms of the pracmln system. | In particular, I developed the publicly available web services [[http://prac.open-ease.org/|PRACWeb]], inviting users to have a look at the PRAC system in operation and [[http://pracmln.open-ease.org|WebMLN]] allowing users to try out inference and learning algorithms of the pracmln system. |
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Since February 2017 I am part of the initiative 'Farbige Zustände' (CRC 1232) which aims at the development of a novel experimental method for the development of materials. Within this collaborative research centre, I develop a prototype and feasibility study for an intelligent cognitive software assistant that supports the work of material scientists in designing new materials. | Since February 2017 I am part of the initiative 'Farbige Zustände' (CRC 1232) which aims at the development of a novel experimental method for the development of materials. Within this collaborative research centre, I work on a prototype and feasibility study for an intelligent cognitive software assistant that supports the work of material scientists in designing new materials. |
====Teaching==== | ====Teaching==== |
* AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws17|WS2017/18]]) (Tutorial) | * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws17|WS2017/18]]) (Tutorial) |
* AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws15|WS2015/16]]) (Tutorial) | * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws15|WS2015/16]]) (Tutorial) |
* Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial) | * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial) |
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| ====Supervised Theses==== |
| * Crowdsourcing Instruction Data for Statistical Relational Learning (Bachelor's Thesis, Kevin Scheck) |
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====== Publications ====== | ====== Publications ====== |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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