{"type":"ScholarlyArticle","title":"Semi-Supervised Structuring of Complex Data","authors":[{"name":"Marian-Andrei Rizoiu","slug":"marian-andrei-rizoiu","given":"Marian-Andrei","family":"Rizoiu","affiliation":""}],"abstract":"The objective of the thesis is to explore how complex data can be treated using unsupervised machine learning techniques, in which additional information is injected to guide the exploratory process. Starting from specific problems, our contributions take into account the different dimensions of the complex data: their nature (image, text), the additional information attached to the data (labels, structure, concept ontologies) and the temporal dimension. A special attention is given to data representation and how additional information can be leveraged to improve this representation.","doi":null,"url":"https://ijcai.org/proceedings/2013/506","pdf":"https://ijcai.org/proceedings/2013/0506.pdf","markdown":"https://ijcai.org/proceedings/2013/506.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/506","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":506,"pages":{"first":3239,"last":3239},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}