Matches in SemOpenAlex for { <https://semopenalex.org/work/W3163596898> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W3163596898 abstract "Recent advancements in artificial intelligence (AI) create new opportunities for implementing a wide range of intelligent user interfaces. Speech-based interfaces, chatbots, visual recognition of users and objects, recommender systems, and adaptive user interfaces are examples that have majored over the last 10 years due to new approaches in machine learning (ML). Modern ML-techniques outperform in many domains of previous approaches and enable new applications. Today, it is possible to run models efficiently on various devices, including PCs, smartphones, and embedded systems. Leveraging the potential of artificial intelligence and combining them with human-computer interaction approaches allows developing intelligent user interfaces supporting users better than ever before. This course introduces participants to terms and concepts relevant in AI and ML. Using examples and application scenarios, we practically show how intelligent user interfaces can be designed and implemented. In particular, we look at how to create optimized keyboards, use natural language processing for text and speech-based interaction, and how to implement a recommender system for movies. Thus, this course aims to introduce participants to a set of machine learning tools that will enable them to build their own intelligent user interfaces. This course will include video based lectures to introduce concepts and algorithms supported by practical and interactive exercises using python notebooks." @default.
- W3163596898 created "2021-05-24" @default.
- W3163596898 creator A5032594386 @default.
- W3163596898 creator A5040353906 @default.
- W3163596898 creator A5062196262 @default.
- W3163596898 date "2021-05-08" @default.
- W3163596898 modified "2023-09-25" @default.
- W3163596898 title "Introduction to Intelligent User Interfaces" @default.
- W3163596898 cites W2783184802 @default.
- W3163596898 cites W3041257813 @default.
- W3163596898 cites W3090234790 @default.
- W3163596898 cites W3123978464 @default.
- W3163596898 cites W4252853834 @default.
- W3163596898 doi "https://doi.org/10.1145/3411763.3445021" @default.
- W3163596898 hasPublicationYear "2021" @default.
- W3163596898 type Work @default.
- W3163596898 sameAs 3163596898 @default.
- W3163596898 citedByCount "2" @default.
- W3163596898 countsByYear W31635968982023 @default.
- W3163596898 crossrefType "proceedings-article" @default.
- W3163596898 hasAuthorship W3163596898A5032594386 @default.
- W3163596898 hasAuthorship W3163596898A5040353906 @default.
- W3163596898 hasAuthorship W3163596898A5062196262 @default.
- W3163596898 hasConcept C107457646 @default.
- W3163596898 hasConcept C136764020 @default.
- W3163596898 hasConcept C154945302 @default.
- W3163596898 hasConcept C177264268 @default.
- W3163596898 hasConcept C199360897 @default.
- W3163596898 hasConcept C41008148 @default.
- W3163596898 hasConcept C49774154 @default.
- W3163596898 hasConcept C519991488 @default.
- W3163596898 hasConcept C557471498 @default.
- W3163596898 hasConcept C56397880 @default.
- W3163596898 hasConcept C89505385 @default.
- W3163596898 hasConceptScore W3163596898C107457646 @default.
- W3163596898 hasConceptScore W3163596898C136764020 @default.
- W3163596898 hasConceptScore W3163596898C154945302 @default.
- W3163596898 hasConceptScore W3163596898C177264268 @default.
- W3163596898 hasConceptScore W3163596898C199360897 @default.
- W3163596898 hasConceptScore W3163596898C41008148 @default.
- W3163596898 hasConceptScore W3163596898C49774154 @default.
- W3163596898 hasConceptScore W3163596898C519991488 @default.
- W3163596898 hasConceptScore W3163596898C557471498 @default.
- W3163596898 hasConceptScore W3163596898C56397880 @default.
- W3163596898 hasConceptScore W3163596898C89505385 @default.
- W3163596898 hasLocation W31635968981 @default.
- W3163596898 hasOpenAccess W3163596898 @default.
- W3163596898 hasPrimaryLocation W31635968981 @default.
- W3163596898 hasRelatedWork W1602935914 @default.
- W3163596898 hasRelatedWork W2010777911 @default.
- W3163596898 hasRelatedWork W2051154247 @default.
- W3163596898 hasRelatedWork W2067465310 @default.
- W3163596898 hasRelatedWork W2189516822 @default.
- W3163596898 hasRelatedWork W2264894153 @default.
- W3163596898 hasRelatedWork W2895056152 @default.
- W3163596898 hasRelatedWork W3185783223 @default.
- W3163596898 hasRelatedWork W4246426965 @default.
- W3163596898 hasRelatedWork W4312354385 @default.
- W3163596898 isParatext "false" @default.
- W3163596898 isRetracted "false" @default.
- W3163596898 magId "3163596898" @default.
- W3163596898 workType "article" @default.