{ "authors": [ { "name": "aadbdca8d7ac43ff", "organization": [ "4aa6d3084fe08c03", "d623dd74a54aa7ab", "53c541fc8d6c7d86" ] } ], "bib": "", "bib_ref": "cm:29db2248aba45e59:5606c08138624a1f", "language": "English", "local_bib": "doc.bib", "place": "France", "publish_iso_date": "2016-06-17", "reproducible": "yes", "title": "Crowdtuning : Towards Practical and Reproducible Auto-tuning via Crowdsourcing and Predictive Analytics", "title_orig": "", "type": { "name": "phd_thesis", "peer_reviewed": "yes", "scope": "international" }, "when": "2016", "where": "University of Paris-Saclay (France)" }
{}