{"657117":{"#nid":"657117","#data":{"type":"event","title":"Latent Space Exploration of Neural Networks for Annotation Efficient Subsurface Interpretation and Characterization","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003ELatent Space Exploration of Neural Networks for Annotation Efficient Subsurface Interpretation and Characterization\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. AlRegib, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Anderson, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Davenport\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to explore the use of deep autoencoders and learn data manifolds to rank and characterize unlabeled training examples by their outof-distribution-score. It is theorized that this ranking can be used to select and annotate only the most informative training samples for seismic interpretation tasks, greatly reducing the annotation effort for seismic interpreters.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Latent Space Exploration of Neural Networks for Annotation Efficient Subsurface Interpretation and Characterization"}],"uid":"28475","created_gmt":"2022-04-09 13:42:35","changed_gmt":"2022-04-09 13:42:35","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-04-15T10:00:00-04:00","event_time_end":"2022-04-15T12:00:00-04:00","event_time_end_last":"2022-04-15T12:00:00-04:00","gmt_time_start":"2022-04-15 14:00:00","gmt_time_end":"2022-04-15 16:00:00","gmt_time_end_last":"2022-04-15 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}