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Demystifying Deep Learning: A Learning Application for Beginners to Gain Practical Experience 

Mensch und Computer 2020 - Workshopband Schultze, Sven; Gruenefeld, Uwe; Boll, Susanne
Deep learning has revolutionized machine learning, enhancing our ability to solve complex computational problems. From image classification to speech recognition, the technology can be beneficial in a broad range of scenarios. However, the barrier to entry is quite high, especially when programming skills are missing. ...

Mitlernender Assistent für Senior*innen zur Erstellung von Beiträgen in einer Community Anwendung 

Mensch und Computer 2020 - Tagungsband Goram, Mandy
Partizipation und Teilhabe am gesellschaftlichen Leben sowie sozialer Austausch und gemeinsames Miteinander finden heutzutage häufig im Internet statt. Die Community App meinDorf55+ soll Senior*innen unterstützten die soziale Teilhabe zu stärken. Es hat sich gezeigt, dass Senior*innen Schwierigkeiten bei der Erstellung ...

Paper2Wire: a case study of user-centred development of machine learning tools for UX designers 

Mensch und Computer 2020 - Tagungsband Buschek, Daniel; Anlauff, Charlotte; Lachner, Florian
This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A ...

Achiever or explorer? gamifying the creation process of training data for machine learning 

Mensch und Computer 2020 - Tagungsband Alaghbari, Sarah; Mitschick, Annett; Blichmann, Gregor; Voigt, Martin; Dachselt, Raimund
The development of artificial intelligence, e. g., for Computer Vision, through supervised learning requires the input of large amounts of annotated or labeled data objects as training data. The creation of high-quality training data is usually done manually which can be repetitive and tiring. Gamification, the use of ...

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 

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Author

Alaghbari, Sarah (1)Anlauff, Charlotte (1)Blichmann, Gregor (1)Boll, Susanne (1)Buschek, Daniel (1)Dachselt, Raimund (1)Goram, Mandy (1)Gruenefeld, Uwe (1)Lachner, Florian (1)Mitschick, Annett (1)... View More

Subject

machine learning (4)
community system (1)deep learning (1)design process (1)education (1)elderly (1)explainable (1)gamification (1)intelligent assistant (1)natural language processing (1)... View More

Date Issued

2020 (4)

Has File(s)

No (3)Yes (1)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.